Chromosome-Wide Analysis of Parental Allele-Specific Chromatin and DNA Methylation

Size: px
Start display at page:

Download "Chromosome-Wide Analysis of Parental Allele-Specific Chromatin and DNA Methylation"

Transcription

1 MOLECULAR AND CELLULAR BIOLOGY, Apr. 2011, p Vol. 31, No /11/$12.00 doi: /mcb Copyright 2011, American Society for Microbiology. All Rights Reserved. Chromosome-Wide Analysis of Parental Allele-Specific Chromatin and DNA Methylation Purnima Singh, 1 Xiwei Wu, 2 Dong-Hoon Lee, 1 Arthur X. Li, 2 Tibor A. Rauch, 3 Gerd P. Pfeifer, 3 Jeffrey R. Mann, 4 and Piroska E. Szabó 1 * Departments of Molecular and Cellular Biology, 1 Information Sciences, 2 Cancer Biology, 3 and Biology, 4 City of Hope National Medical Center and Beckman Research Institute, Duarte, California Received 17 August 2010/Returned for modification 8 October 2010/Accepted 4 February 2011 To reveal the extent of domain-wide epigenetic features at imprinted gene clusters, we performed a highresolution allele-specific chromatin analysis of over 100 megabases along the maternally or paternally duplicated distal chromosome 7 (Chr7) and Chr15 in mouse embryo fibroblasts (MEFs). We found that reciprocal allele-specific features are limited to imprinted genes and their differentially methylated regions (DMRs), whereas broad local enrichment of H3K27me3 (BLOC) is a domain-wide feature at imprinted clusters. We uncovered novel allele-specific features of BLOCs. A maternally biased BLOC was found along the H19-Igf2 domain. A paternal allele-specific gap was found along Kcnq1ot1, interrupting a biallelic BLOC in the Kcnq1-Cdkn1c domain. We report novel allele-specific chromatin marks at the Peg13 and Slc38a4 DMRs, Cdkn1c upstream region, and Inpp5f_v2 DMR and paternal allele-specific CTCF binding at the Peg13 DMR. Additionally, we derived an imprinted gene predictor algorithm based on our allele-specific chromatin mapping data. The binary predictor H3K9ac and CTCF or H3K4me3 in one allele and H3K9me3 in the reciprocal allele, using a sliding-window approach, recognized with precision the parental allele specificity of known imprinted genes, H19, Igf2, Igf2as, Cdkn1c, Kcnq1ot1, and Inpp5f_v2 on Chr7 and Peg13 and Slc38a4 on Chr15. Chromatin features, therefore, can unequivocally identify genes with imprinted expression. Imprinted genes are monoallelically expressed according to parental inheritance. The maternally and paternally inherited alleles are distinguished epigenetically by DNA methylation and histone modifications. Parental allele-specific DNA methylation at germ line differentially methylated regions (DMRs) is established in the male and female germ lines. The hyperand hypomethylated alleles of DMRs largely coincide with repressive and active histone covalent modifications, respectively. DNA methylation (7, 33, 39, 48, 66) and chromatin differences (59, 65, 81, 95, 98, 100) are important for parental allele-specific gene expression. Chromatin is usually probed with allele-specific chromatin immunoprecipitation (ChIP) assays at discrete genomic positions at the transcription start sites of imprinted genes or at DMRs. The extent of the allelespecific chromatin at imprinted domains is not known except for the Igf2r-Airn imprinted locus on chromosome 17 (Chr17), where the two alleles were investigated using ChIP-on-chip methodology in hemizygous mouse embryo fibroblasts (MEFs) carrying the 250-kb hairpin tail (T hp ) deletion in one allele (77). To assess the chromatin of the parental alleles separately, we used MEFs that carried maternal and paternal duplication of * Corresponding author. Mailing address: Department of Molecular and Cellular Biology, Beckman Research Institute, City of Hope, 1450 E. Duarte Road, Duarte, CA Phone: (626) Fax: (626) pszabo@coh.org. Present address: Department of Orthopedic Surgery, Rush University Medical Center, Chicago, IL. Present address: Murdoch Children s Research Institute, The Royal Children s Hospital, Parkville, Parkville, Victoria, Australia. Supplemental material for this article may be found at Published ahead of print on 14 February distal Chr7, MatDup.dist7 and PatDup.dist7 (10, 11, 23, 55, 78), respectively (Fig. 1B and C). These resulted from the intercrosses of mice heterozygous for a reciprocal translocation at the T(7;15)9H (T9H) breakpoint (11). MatDup.dist7 MEFs carry maternal duplication and paternal deficiency for the translocated distal Chr7, as well as paternal duplication and maternal deficiency of distal Chr15 (31, 91). PatDup.dist7 MEFs carry paternal duplication and maternal deficiency for the distal Chr7 regions, as well as maternal duplication and paternal deficiency of distal Chr15. The MatDup.dist7 and PatDup.dist7 genotypes are associated with fetal and embryonic lethality, respectively (10, 22, 31, 55), due to misexpression of imprinted genes. To obtain MEFs at 13.5 days postcoitus (dpc), the PatDup.dist7 embryos had been rescued by an Ascl2 transgene (78, 91). MEFs provided a sufficient number of cells for ChIP-on-chip experiments. The duplicated chromosome segments in MatDup.dist7 and PatDup.dist7 MEFs harbor five germ line DMRs (Fig. 1A to C): the paternally methylated H19-Igf2 imprinting control region (ICR) (23, 67, 96, 97), the maternally methylated KvDMR1 (19, 25, 105), the maternally methylated Inpp5f_v2 DMR (104) in distal Chr7, the maternally methylated Slc38a4, and Peg13 DMRs in distal Chr15 (79, 89). The distal portion of mouse chromosome 7 contains two imprinted domains representing two major mechanisms known to regulate imprinted gene expression (Fig. 1D). The H19-Ig2 region is controlled by allele-specific enhancer blocking due to CTCF insulator protein binding in the ICR (5, 32, 36, 38, 69, 82, 90, 91, 93). H19 and Igf2 are expressed from the maternal and paternal chromosomes, respectively (4, 16, 17, 23). CTCF binds in the unmethylated ICR allele and elicits insulation between the shared enhancers and Igf2 in the maternal chro- 1757

2 1758 SINGH ET AL. MOL. CELL. BIOL. FIG. 1. Uniparental duplication of distal chromosome 7 allows chromosome-wide analysis of allele-specific epigenetic features of two imprinted domains. (A) Normal embryos inherit one set of chromosomes from each parent. Maternally and paternally inherited alleles of chromosomes 7 (red and blue) and Chr15 (pink and light blue) are shown. (B) In MatDup.dist7 embryos, two copies of the distal Chr7 segment, telomeric to the T9H translocation breakpoint, are inherited from the mother, and two copies of distal Chr15 are inherited from the father. (C) In PatDup.dist7 embryos, two copies of distal Chr7 are inherited from the father, and two copies of distal Chr15 are inherited from the mother. Hyper- and hypomethylated alleles of known DMRs are marked by closed and open circles, respectively. (D) Two clusters of imprinted genes in distal chromosome 7 are regulated by reciprocal germ line methylation and different imprinting mechanisms. Imprinted expression of the H19-Igf2 imprinted domain (to the left) is regulated by a paternally (P) methylated (closed circles) DMR. The unmethylated (open circles) allele is specifically bound by a CTCF insulator protein (yellow ovals) that blocks Igf2 activation by the shared enhancers (gray circles) in the maternal chromosome (M). H19 is expressed from the maternal chromosome (red). Igf2as and Ins2 are paternally expressed (blue), the latter exhibiting imprinted expression in the yolk sac. (B) The Cdkn1c1-Kcnq1 imprinted domain (to the right) is telomeric to the H19-Igf2 domain. It is under the control of the maternally methylated KvDMR1, which overlaps the promoter of the noncoding RNA, Kcnq1ot1 (orange line). Cdkn1c is expressed from the maternal chromosome. Kcnq1ot1 is expressed from the paternal chromosome. Transcription of a set of imprinted genes, Th, Ascl2, Tspan32, Cd81, Tssc4, Slc22a18, Phlda2, Napl14, Tnfrsf23, Osbpl5, and Dhcr7, in the placenta is repressed in the paternal chromosome by Kcnq1ot1 expression from the paternal allele. Imprinted expression of Kcnq1 and Slc22a18 is developmentally regulated. The embryonic lethality phenotype of PatDup.dist7 embryos was rescued by an Ascl2 transgene, integrated at another chromosome. The overlap of the P1 clone with the endogenous locus is indicated. Map is not to scale. mosome. The Igf2as noncoding RNA (ncrna) is also likely regulated similarly to Igf2 (62). Ins2 is paternally expressed but only in the yolk sac (26). The Cdkn1c-Kcnq1 domain (Fig. 1D) is controlled by the maternally methylated ICR, the Kv differentially methylated region (KvDMR1) (19, 25, 105). The unmethylated paternal allele produces a noncoding RNA, Kcnq1ot1 (88). Transcription of this RNA is required for repressing the paternal allele of an array of maternally expressed imprinted genes in the placenta (25, 53, 68). The duplicated chromosomes in MatDup.dist7 and PatDup-.dist7 MEFs additionally harbor the paternally expressed Ampd3 (83), Inpp5f_v2, and Inpp5f_v3 (12, 104) on Chr7, the maternally expressed Kcnk9 (79) and Trappc9 (101), and the paternally expressed Peg13 (89) and Slc38a4 (57, 89) imprinted genes on distal Chr15. The parental allele-specific imprinted expression of the H19, Igf2, Cdkn1c, Kcnq1ot1, Peg13, and Slc38a4 transcripts is ubiquitous. Phlda2 is maternally biased in most fetal organs (74). Other imprinted genes exhibit parental allele-specific expression in specific tissues (Ins2 in the yolk sac [26], Inpp5f_v2 [12], Trappc9 in the brain [101], and Tspan32, Cd81, Tssc4, Nap1l4, Tnfrsf23, Osbpl5, and Dhcr7 in the placenta [9, 13, 15, 19, 29, 34, 72, 83]) and are either not expressed or biallelically expressed in other organs ( (84). Allele-specific gene expression can also be developmentally regulated: Kcnq1 is maternally expressed in the embryo at 9.5 dpc (47) but becomes biallelic at later fetal stages in a tissuespecific manner (9, 27, 71) and is silent later in development (52). Slc22a18 is maternally biased in the embryo and fetus but not in the adult (15). We performed ChIP-on-chip and methylated-cpg island recovery assay (MIRA)-on-chip analyses in combination

3 VOL. 31, 2011 CHROMOSOME-WIDE ALLELE-SPECIFIC CHROMATIN ANALYSIS 1759 with hybridization to NimbleGen tiling arrays to map the chromatin features and DNA methylation status along the duplicated chromosomal segments and provide a panoramic map of the allele-specific epigenetic features, chromatin and DNA methylation, at the major imprinted domains and scattered imprinted genes on mouse chromosomes 7 and 15. MATERIALS AND METHODS MatDup.dist7 and PatDup.dist7 MEFs. MEFs were derived from 13.5-dpc embryos. PatDup.dist7 embryos that would otherwise die at 10.5 dpc were rescued for this purpose with an Ascl2 transgene (78). The injected P1 clone spanned 84 kb (Fig. 1D). Chromatin immunoprecipitation. Chromatin was prepared from MatDup-.dist7 and PatDup.dist7 primary MEFs (91) as described earlier (30). The chromatin was cross-linked for 2 min (N-ChIP) or 10 min (X-ChIP) with formaldehyde and sonicated in lysis buffer (87). An aliquot of the chromatin was reverse cross-linked and quantified by optical density (OD) measurement, and the efficiency of sonication was assessed on an agarose gel. Sonicated chromatin was then diluted to a concentration of 0.4 mg/ml and snap-frozen in small aliquots. One aliquot was thawed on the day of ChIP. The chromatin immunoprecipitation was performed as described previously (30) with minor modifications. Preblocked A/G beads from Santa Cruz (catalog number sc-2003) were used for capturing the precipitated chromatin. The antibodies used in the ChIP assays are listed in Table S1 in the supplemental material. MIRA. The methylated fraction of sonicated genomic DNA was captured using recombinant MBD3L1 and MBD2b proteins as described earlier (75, 76). LM-PCR amplification. Ligation-mediated PCR (LM-PCR) was done to amplify ChIP- and MIRA-enriched DNA as previously described (41) with minor modifications. ChIP-on-chip analysis. Custom-designed NimbleGen tiling arrays covering the distal arm of mouse chromosome 7 (080121_Szabó_CoH_mm8_chr7_chip), central chromosome 7 (C _mm8 tiling set 18), and distal chromosome 15 (C _mm8 tiling set 31) were used for the histone modification profile analysis. The array covers the regions to for distal Chr7 and to for distal Chr15. Amplified ChIP DNA fractions were compared with amplified input DNA. The labeling of DNA, microarray hybridization, and scanning were performed by the Nimble- Gen Service Group (Reykjavik, Iceland). Data were extracted from scanned images by using NimbleScan 2.3 extraction software (NimbleGen Systems). RNA isolation and cdna preparation. RNA was isolated from MatDup.dist7 and PatDup.dist7 MEFs using RNA-Bee according to the manufacturer s instructions (Tel-Test). The pellet was dissolved in diethyl pyrocarbonate (DEPC) water containing RNasin (Promega) and 10 mm dithiothreitol (DTT). Contaminating DNA was removed with the DNA-free kit (Ambion). Double-stranded (ds) cdna was prepared from 10 g of MatDup.dist7 and PatDup.dist7 MEF total RNA with oligo(dt) primers using the SuperScript double-stranded cdna synthesis kit (Invitrogen) according to the NimbleGen Array user s guide (http: // The ds cdna was purified using the QIAquick PCR purification kit (Qiagen) and was hybridized to custom NimbleGen tiling arrays (080121_Szabó_CoH_mm8_chr7_chip) at the City of Hope Functional Genomics core facility. Allele-specific peak identification. We first performed quantile normalization on the distal Chr7 NimbleGen log 2 ratio data. Next, peaks were defined in each sample as four consecutive probes with log 2 ratios above the 95th percentiles on each array, allowing one probe gap. For each peak present in MatDup.dist7 samples, the median log 2 ratios of probes falling into the peak region in the corresponding PatDup.dist7 sample were calculated and compared to the median log 2 ratios of these probes in MatDup.dist7 samples. The peaks with signal differences of more than 3-fold between MatDupd.dist7 and PatDup.dist7 samples were designated allele-specific peaks. Microarray data accession number. Microarray data can be accessed in the GEO database under superseries GSE RESULTS Measuring allele-specific histone chromatin on a chromosome-wide scale. To reveal the domain-wide allele-specific epigenetic features of imprinted genes with high resolution along Chr7 and Chr15, we used MatDup.dist7 and PatDup.dist7 MEFs (Fig. 1B and C). These cells allowed us to separately assess the maternal and paternal alleles along the duplicated chromosomal segments. We performed ChIP-on-chip and MIRA-on-chip analyses in combination with LM-PCR amplification and hybridization to NimbleGen tiling arrays to map the chromatin features and DNA methylation. Antibodies for well-known active (H3K9ac, H3K4me2, H3K4me3) and repressive (H3K9me3 and H3K27me3) histone tail modifications and also for histone globular domain marks (H4K91ac, H3K79me2, and H3K79me3) were used in ChIP to map chromatin. We recently showed that H4K91ac and H3K79me2 marks are typically found in the unmethylated allele of DMRs, whereas H3K79me3 is predominantly found in the methylated alleles (87). CTCF ChIP was used to map insulators/chromatin barriers. Chromatin and methylation data were cross-referenced with gene expression patterns. Affymetrix RNA microarrays confirmed the allele-specific expression of known imprinted genes along the duplicated chromosome segments (see Fig. S1 in the supplemental material). ChIP with the elongation-type RNA polymerase II (PolII) antibody and doublestranded (ds) cdna hybridization on the NimbleGen arrays were also used to visualize biallelic and allele-specific gene expression along the duplicated chromosome regions and potentially uncover novel unannotated ncrnas. Analysis of the H19-Igf2 imprinted domain. The reciprocal maternal and paternal allele-specific expression of H19 and Igf2 transcripts was confirmed in RNA microarray (see Fig. S1 in the supplemental material) and was visualized by ds cdna hybridization to custom NimbleGen arrays containing a 47-Mb region of distal Chr7. MatDup.dist7 MEFs exhibited a strong signal for H19 but no signal for Igf2, whereas PatDup.dist.7 MEFs exhibited a strong signal for Igf2 and Igf2as but not for H19 (Fig. 2). No transcript signal was present for Ins2. The PolII signal was very clear along the Igf2 transcript but was hard to detect along H19 (not shown). As expected, DNA methylation was found at the ICR in PatDup.dist7 but not in MatDup.dist7 MEFs, and DNA methylation was biased toward the paternal allele at the Igf2 locus (14). The robust CTCF peak at the ICR in MatDup.dist7 MEFs was in agreement with our in vivo footprinting data obtained using the same cells (91) and ChIP analysis in normal MEFs (30, 99). The MIRA peak coincided with strong H3K9me3 and H3K79me3 peaks at the ICR in PatDup.dist7 MEFs, as in ChIP single-nucleotide primer extension (SNuPE) results using normal cells (87). The CTCF peak coincided with H3K9ac, H3K4me2, and H3K4me3 peaks. The previously reported maternal allele-specific CTCF peak in neonatal liver chromatin at the Igf2 DMR1 (42) was not apparent in MatDup.dist7 MEFs (Fig. 2), most likely due to cell type-specific differences in CTCF binding. This peak was absent in normal MEFs (30). The expressed allele of imprinted genes, i.e., the maternal allele for H19 and paternal allele for Igf2 and Igf2as, was rich in H3K9ac, H4K91ac, H3K4me2, and H3K4me3 and was slightly enriched in H3K79me2 in MatDup.dist7 and PatDup.dist7 MEFs, respectively. The silent alleles of imprinted genes, i.e., the paternal allele for H19 and maternal allele for Igf2 and Igf2as, lacked all these active chromatin peaks but exhibited H3K9me3 marks in PatDup.dist7 and MatDup.dist7 MEFs, respectively. H3K27me3 showed maternal allele specificity at the Igf2 promoter/gene body. H3K27me3 was biallelic in normal MEFs at the ICR (30, 99)

4 1760 SINGH ET AL. MOL. CELL. BIOL. FIG. 2. High-resolution allele-specific analysis of the H19, Igf2, and Igf2as imprinted genes. The chromatin (with the antibodies indicated to the right) and methylation (MIRA) signals are plotted along the chromosome as log 10 P value scores for the maternal allele in MatDup.dist7 (red bars) and for the paternal allele in PatDup.dist7 (blue bars) MEFs. The P value score was obtained by NimbleScan software and is derived from the Kolmogorov-Smirnov test comparing the log 2 ratios (ChIP or MIRA versus input) within a 750-bp window centered at each probe and the rest of the data on the array. Transcripts are marked by rectangles, with arrows indicating the direction of transcription. The H19-Igf2 ICR and the Igf2 DMRs are labeled with yellow rectangles. Significant allele-specific peaks located at 5 kbto 2 kb from the transcription start sites (TSS) are marked by asterisks. Additionally, significant maternal H3K27me3 peaks are marked along the imprinted domain in this figure and in Fig. S3B in the supplemental material. Genomic coordinates are indicated on the top according to UCSC Genome Browser mouse genome version mm8. and in MatDup.dist7-PatDup.dist7 MEFs (Fig. 2), except for one maternal allele-specific peak at the telomeric end of the ICR. The ChIP-on-chip data were verified by real-time PCR at the H19-Igf2 ICR, the H19 promoter, and the Igf2 DMR2 regions (see Fig. S2A and B in the supplemental material). When we looked at the panoramic picture of the domain, we observed a novel feature, a stretch of a more-than-100-kb-long maternally biased H3K27me3 enrichment encompassing the entire imprinted domain (see Fig. S3B in the supplemental material). Extended regions of H3K27me3 enrichment were

5 VOL. 31, 2011 CHROMOSOME-WIDE ALLELE-SPECIFIC CHROMATIN ANALYSIS 1761 identified by an algorithm, broad local enrichment (BLOC) in MEFs at imprinted and nonimprinted regions (70, 77), but allele-specific features of BLOCs have not been reported. We confirmed the H3K27me3 BLOC at two positions in the H19- Igf2 intergenic region (see Fig. S2C in the supplemental material). This marking excluded the active H19 promoter, confirming the data obtained in normal MEFs (Fig. 2) (30). A panoramic view of the region centromeric to H19 (see Fig. S3A in the supplemental material) shows that the maternally biased BLOC extends beyond the neighboring nonimprinted gene, Mrpl23, and stops before Tnnt3, but the Mrpl23 gene itself is excluded. Analysis of the Kcnq1-Cdkn1c imprinted domain. We confirmed the allele-specific expression of Cdkn1c by RNA microarray (see Fig. S1 in the supplemental material). Additionally, the maternally expressed Cdkn1c and paternally expressed Kcnq1ot1 transcripts were visualized by ds cdna hybridization (Fig. 3). We found that the ds cdna occupies a window of about 67 kb at the Kcnq1ot1 transcript. This is very close to the previously reported 64 kb (53) but was shorter than the recently reported 91 kb (68). The longer transcript was mapped in 14.5-dpc placenta. It is possible that the different-sized Kcnq1ot1 transcripts have different regulatory potentials. Contrary to previous findings of monoallelic Kcnq1 expression in late mouse embryos (27), we did not detect Kcnq1 expression in MEFs (see Fig. S1 and S3E in the supplemental material). The Ascl2 gene was not interpreted, because an Ascl2 transgene was used to rescue the lethality of PatDup.dist7 MEFs and the hybridization signals may come from the P1 clone integrated elsewhere (78). The other imprinted genes of this domain were not expressed in MatDup.dist7 and PatDup.dist7 MEFs (Th, Tspan32, Kcnq1, and Slc22a18) or were expressed equally in these cells (Cd81, Tssc4, Phld2a, Napl14, Tnfrs23, Osbpl15, and Dhcr7) (see Fig. S3D to F in the supplemental material). We verified the expression of selected genes using reverse transcription (RT)-PCR (see Fig. S4 in the supplemental material). Cd81 and Osbpl5 were both highly expressed in MatDup.dist7 and PatDup.dist7 MEFs and in the embryo, whereas Phlda2 and Slc22a18 expression was very low in MEFs and embryos compared to that in placentas. When allele specificity of the low-level Slc22a18 expression was examined in F1 embryos and placentas, a maternal allele-specific bias (15, 47) was apparent. Osbpl15 was expressed maternal allele specifically in the F1 placenta but biallelically in the F1 embryo. In our experience, very little RNA is sufficient to measure allelespecific gene expression. Mapping transcription by microarraybased approaches requires a higher overall level of each particular transcript. The KvDMR1 displayed a strong peak of CpG methylation in the maternal allele (Fig. 3). This coincided with a strong H3K9me3 peak and strong H3K27me3 signals in MatDup-.dist7 MEFs. H3K79me3 was present in both MatDup.dist7 and PatDup.dist7 MEFs. Active chromatin marks, H3K9ac, H4K91ac, H3K4me2, H3K4me3, and H3K79me2, were strongly enriched at the KvDMR1 in PatDup.dist7 MEFs. Our results confirmed and expanded previous observations that maternal allele-specific H3K9/14ac and H3K4me and paternal allele-specific H3K9me and H3K27me mark the KvDMR1 (98). Additionally, we revealed that H3K4me2, H3K79me2, and H3K79me3 showed enrichment not only at the KvDMR1 but also over a larger region along the Kcnq1ot1 transcript in PatDup.dist7 MEFs. The histone globular domain marks were interesting: H3K79me2 and H3K79me3 were both enriched along the active allele of the Kcnq1ot1 transcript, but in MatDup.dist7 cells only H3K79me3 but not H3K79me2 existed along the silent maternal allele of this gene. We did not detect reproducible CTCF peaks in the KvDMR1 MEFs, contrary to ChIP results in normal MEFs (24). The difference can be due to different specificities of the antibodies. In the paper above, a mixture of nine anti-ctcf antibodies was used. Alternatively, the amplification step in the ChIP-on-chip method may introduce a level of uncertainty at low-occupancy sites (20). An H3K27me3 BLOC stretched along the Cdkn1c-Kcnq1 imprinted domain between Trpm5 and Phlda2 in both MatDup.dist7 and PatDup.dist7 cells (see Fig. S3D and E in the supplemental material). In PatDup.dist7 cells, this stretch was interrupted by a long gap along the transcription of the Kcnq1ot1 noncoding RNA (Fig. 3). The extent of this paternal allele-specific gap in the H3K27me3 BLOC was verified by ChIP real-time PCR (see Fig. S5A in the supplemental material). H3K27me3 enrichment exhibited a reciprocal pattern with gene expression; it biallelically covered the silent genes but was absent at the expressed genes along this domain. H3K27me3 repressive marks were biallelic at the Kcnq1 transcript, in agreement with the shift from monoallelic expression toward biallelic repression at 12.5 dpc (52). MIRA peaks in PatDup.dist7 MEFs indicated paternally biased CpG methylation at the Cdkn1c promoter and upstream Cdkn1c DMR (Fig. 3) in accordance with the existence of two paternally methylated somatic DMRs (6, 47, 105). The Cdkn1c promoter exhibits maternal allele-specific H3K9/14ac and H3K4me and paternal allele-specific H3K27me marks in the 9.5-dpc embryo chromatin (98). We found that the Cdkn1c upstream region exhibited more robust chromatin differences than the promoter. These included maternal allele-specific H3K9ac and H4K91ac and paternal allele-specific H3K79me3, H3K27me3, and H3K9me3 marks. We verified these peaks using ChIP real-time PCR (see Fig. S5B in the supplemental material). The repressive H3K27me3 signal covered both alleles of the Cdkn1c gene, but the promoter was free of H3K27me3 in MatDup.dist7 MEFs (Fig. 3). We found that CTCF binding was biased to the maternal allele (Fig. 3; see also Fig. S5B in the supplemental material) at a previously verified CTCF binding consensus binding site (40). Maternal bias of CTCF is likely due to partial paternal-allelic methylation of the region, also seen by others (58). Those imprinted genes of the cluster that were expressed in both MatDup.dist7 and PatDup.dist7 MEFs, Cd81, Tssc4, Phlda2, Nap1l4, Tnfrs23, Osbpl5, and Dhcr7, showed biallelic active histone modification marks (see Fig. S3D to F in the supplemental material): MatDup.dist7 and PatDup.dist7 MEFs were equally enriched in H3K9ac, H3K4me2, H3K4me3, and H3K79me2, whereas repressive marks were absent at these genes in both cell types. These results are in agreement with observations in 9.5-dpc embryos regarding the biallelic active H3K9ac and H3K4me marks at the Osbl5, Napl14, Phlda2, Tssc4, and Cd81 genes (98), but we did not confirm biallelic repressive marks, except biallelic H3K27me3 at Phlda2. The difference was likely due to the difference in epigenetic status of these genes between 13.5-dpc

6 1762 SINGH ET AL. MOL. CELL. BIOL. FIG. 3. High-resolution allele-specific chromatin analysis along the Kcnq1ot1 and Cdkn1c-Slc22a18 imprinted genes. Kcnq1ot1 ncrna and Cdkn1c are paternally and maternally expressed in MEFs, respectively. The KvDMR1, the Cdkn1c DMR, and the Slc22a18 DMR (47) (yellow rectangles) are very clearly marked by allele-specific chromatin. The H3K27me3 peaks in the bracketed area and peak 1 in the Cdkn1c upstream area were confirmed using ChIP real-time PCR (see Fig. S5 in the supplemental material). Slc22a18 exhibited some allele-specific chromatin marks in the absence of high-level transcription in MEFs (see Fig. S4 in the supplemental material). Other details are as described in Fig. 2. MEFs and 9.5-dpc embryos. Tspan32, which was not expressed in MEFs, exhibited biallelic active marks H3K9ac, H4K91ac, and H3K4me2 but not H3K4me3 and did not exhibit repressive marks. Slc22a18, which had a very low level of expression in MEFs, exhibited allele-specific chromatin marks in MatDup.dist7 and PatDup.dist7 MEFs. The low level of expression was maternally biased in normal F1 embryos at 13.5 dpc (see Fig. S4 in the supplemental material). It is likely that the proximity to the ubiquitously maternally expressed Cdkn1c may influence the active chromatin marks at the maternal allele of this transcript in MatDup.dist7 MEFs. Th, which was not expressed in MatDup-.dist7 and PatDup.dist7 MEFs, did not exhibit active chromatin marks in either cell type but was marked by repressive H3K27me3 in both MEFs. The long stretch of biallelic H3K27me3 along Th

7 VOL. 31, 2011 CHROMOSOME-WIDE ALLELE-SPECIFIC CHROMATIN ANALYSIS 1763 coincided with biallelic H3K9me3 and H3K79me3 enrichment. This has to be interpreted with caution, however, because the P1 clone included the first exon of Th and most of the very long first intron (78). H3K79me3 was biallelic at Cd81 but coincided with biallelic H3K79me2 enrichment, not with H3K27me3 enrichment (see Fig. S3D in the supplemental material). Analysis of scattered imprinted genes along distal Chr7. Ampd3 is maternally expressed in the 13.5-dpc placenta but biallelically exprressed in the 13.5-dpc embryo (83). We found a low level of biallelic expression using ds cdna hybridization (see Fig. S6 in the supplemental material). The chromatin composition was largely biallelic except for stronger H3K79me2 signals along the gene body and a stronger H3K4me3 peak downstream of the transcription start site (TSS) in MatDup.dist7 MEFs than in PatDup.dist7 MEFs. No significant repressive chromatin marks were present. The Inpp5f_v2 transcript is paternally expressed in the brain (12) but is not expressed in the embryo. Allele-specific chromatin features have not been reported at this imprinted gene before. We did not find expression from the Inpp5f_v2 promoter in MEFs based on ds cdna hybridization (Fig. 4). DNA methylation and H3K9me3, H3K27me3, and H3K79me3 enrichment, however, were apparent in the maternal allele in MatDup.dist7 MEFs, whereas H3K4me3, H3K4me2, and H3K9ac enrichment marked the paternal allele in PatDup-.dist7 MEFs (Fig. 4). The nonimprinted variant, Inpp5f, was expressed in MatDup.dist7 and PatDup.dist7 MEFs equally as measured in RNA microarray and ds cdna hybridization. This variant exhibited biallelic active chromatin marks but lacked repressive marks. The biallelic peaks at the 5 end and the strong biallelic ds cdna peaks at the 3 end of the Inpp5f gene likely represent transcription from the Inpp5f promoter. Global features along distal chromosome 7. After analyzing known imprinted loci along distal Chr7, we compared the global chromatin features along this 47-Mb-long chromosome segment. Unsupervised hierarchical clustering was used to reveal the degree of similarity between the ChIP-on-chip samples. Pearson correlation and average linkage analysis found that, in general, the MatDup.dist7 and PatDup.dist7 MEF samples clustered together according to the epigenetic mark analyzed (see Fig. S7 in the supplemental material); for example, CTCF in MatDup.dist7 showed the closest relationship with CTCF in PatDup.dist7. The exception to this rule was that the distribution of H4K91ac and H3K4me2 samples clustered closer by cell type rather than by chromatin marks. Importantly, the repressive histone tail modifications H3K27me3 and H3K9me3 were clustered together and also with the globular domain mark H3K79me3. Active histone tail marks clustered with PolII signals and also with the globular mark H3K79me2. H3K9me3, H3K79me3, and H3K27me3 were significantly enriched at gene deserts, whereas CpG-methylated regions were associated with gene-rich regions. To determine the pattern of each chromatin mark in relation to the transcription start site, we generated composite profiles (see Fig. S8 in the supplemental material). Average signals (log 2 ratios) of each chromatin mark were plotted between 5 kb and 2 kb of the TSS for five equal-sized groups of transcripts, classified according to their expression levels. The composite profiles of each epigenetic mark were very similar between MatDup.dist7 and PatDup.dist7 MEFs (see Fig. S8A and B in the supplemental material) and were largely expected (2, 102). One interesting finding was that whereas both H3K79me2 and H3K79me3 were present downstream of the TSS of highly expressed genes, H3K79me2 exhibited stronger enrichment. Also, interestingly, a peak of H3K79me3 but not H3K79me2 was present downstream of the TSS of genes displaying low expression or no expression. Generating an imprinted gene chromatin signature consensus algorithm. The allele-specific chromatin differences between MatDup.dist7 and PatDup.dist7 MEFs were very clear at each known imprinted gene that exhibited imprinted expression in the embryo. We decided to generate a consensus imprinted gene chromatin signature (Fig. 5) from the allelespecific epigenetic features at these transcripts and test whether this consensus can be used to identify imprinted genes along the duplicated chromosomal regions. The first step was to identify allele-specific (MatDup.dist7- or PatDup.dist7-specific) peaks (see Materials and Methods for details) for each modification mark that falls into the promoter region (defined as 5 kbto 2 kb of the TSS) of known imprinted transcripts, H19, Igf2, Cdkn1c, and Kcnq1ot1, on distal Chr7 (see Table S3 in the supplemental material). The second step was to summarize the allele-specific peaks as binary indicators (Fig. 5A). The 11 examined modification marks were divided into activation marks (CTCF, H3K4me2, H3K4me3, H3K9ac, H4K91ac, H3K79me2, and PolII) and inhibition marks (H3K27me3, H3K79me3, H3K9me3, and DNA methylation). The binary indicator was defined as follows: for the H19 and Cdkn1c transcripts, 1 or 0 in the activation mark category codes true or false for the following statement: MatDup.dist7- specific peak exists in the promoter; 1 or 0 in the inhibition mark category codes true or false for the following statement: PatDup.dist7-specific peak exists in the promoter. For the Igf2 and Kcnq1ot1 transcripts, the reciprocal parameters were applied. Based on the modification table, an imprinted gene chromatin signature algorithm was derived. It is a binary predictor: genes that possess chromatin composition containing activation mark H3K9ac and activation mark CTCF or H3K4me3 and inhibition mark H3K9me3 in their promoter regions are imprinted and expressed from the allele associated with the activation marks. Transcript-based prediction. The performance of the consensus imprinted gene chromatin signature was tested along the entire duplicated segment of the genome in MatDup.dist7 and PatDup.dist7 MEFs. For this analysis, we generated additional ChIP-on-chip data along distal and central Chr7 and along distal Chr15. Each gene in a given genomic segment was considered, and its imprinted status in either allele was tested. The results are shown in a heat map (see Fig. S9 in the supplemental material). Out of 811 genes between and along distal Chr7, the five known imprinted genes, H19, Igf2, Igf2as, Cdkn1c, and Kcnq1ot1, were predicted (Fig. 5B). In the region between 62.3 Mb and 98 Mb on central Chr7, 647 genes were tested, and none was recognized as being imprinted. Along distal Chr15, 806 genes were tested, and two genes, the paternally expressed Peg13 and Slc38a4, were recognized by the algorithm (Fig. 5B). Apart from the four imprinted genes that were considered in deriving the algorithm, we predicted an additional three imprinted genes in Chr7 and Chr15 using the algorithm, all with correct allele specificity.

8 1764 SINGH ET AL. MOL. CELL. BIOL. FIG. 4. Chromatin analysis of Inpp5f_v2. Inpp5f_v2 is paternally expressed in the brain but is not expressed in MEFs. Allele-specific marks can be discerned at Inpp5f_v2 but not at the nonimprinted Inpp5f in MEFs, including maternal DNA methylation in the Inpp5f_v2 DMR. Other details are as described in Fig. 2. The predictive peaks are provided in Table S4 in the supplemental material. Sliding-window approach. In the previous prediction analysis, the detection was limited to annotated genes. We then also performed an unbiased analysis along the entire central and distal Chr7 and distal Chr15 regions using the algorithm and the sliding-window approach. The bimodal predictor criteria were applied to each 2-kb window tiled on the arrays with a 1-kb step size. The hypothesis was that a window containing H3K9ac and CTCF or H3K4me3 in one allele and H3K9me3 in the other allele will be associated with an imprinted gene. We identified 9 such windows and called transcripts in a distance equal or less than 3 kb from the peak. Eighteen out of 19 windows were associated with known transcripts and were located upstream or within but not downstream of a transcript (see Table S5 in the supplemental material). The sliding-window approach recognized and correctly predicted the parental expression of each transcript predicted with the gene-based approach and additionally called the TSS of the known paternally expressed transcript variant, Inpp5f_v2,

9 VOL. 31, 2011 CHROMOSOME-WIDE ALLELE-SPECIFIC CHROMATIN ANALYSIS 1765 FIG. 5. Derivation and testing an imprinted gene predictor algorithm. (A) Allele-specific peaks of epigenetic marks were tabulated at four annotated transcripts according to the allele-specific expression profile of the transcript. Allele-specific peaks were identified for activation and repressive epigenetic marks in the promoter region ( 5 kb to 2 kb from the TSS) of four known imprinted genes, located on distal Chr7, in MatDup.dist7 and PatDup.dist7 MEFs (see Table S3 in the supplemental material). From these, the activation mark peaks in the expressed allele (green) and the repression mark peaks in the silent allele (orange) were considered for maternally expressed and paternally expressed transcripts. From this table, a consensus imprinted gene signature was derived: H3K9ac and H3K4me3 or CTCF in the expressed allele and H3K9me3 in the silent allele. These are colored: maternal allele (red) and paternal allele (blue). (B) The consensus was then tested as a bimodal predictor using chromatin data of annotated transcripts along distal Chr7, central Chr7, and distal Chr15 (see Table S4 and Fig. S9 in the supplemental material). The predictor was further tested by a sliding-window approach, which did not depend on transcript annotations (see Table S5 in the supplemental material). within Inpp5f (Fig. 4). Inpp5f_v2 was not recognized by the transcript-based approach, because it is not annotated in RefSeq. The windows reported within Trappc9 were located at the TSS of Peg13, inatrappc9 intron on Chr15. No novel imprinted genes were found on distal Chr7 and Chr15. Allele-specific chromatin at imprinted genes on distal chromosome 15. Allele-specific chromatin features along distal Chr15 have not been reported. We characterized the allelespecific chromatin features of the Peg13 and Slc38a4 DMRs (89). At both of these DMRs CpG methylation and H3K9me3 enrichment were observed in the maternal allele, displayed in PatDup.dist7 cells, whereas H3K9ac and H4K4me2 enrichment was found in the paternal allele, displayed in MatDup-.dist7 cells (Fig. 6). The Peg13 DMR also had a very clear CTCF peak in the paternal allele. Kcnk9 is maternally expressed in 11.5-dpc embryos and in adult brain (79), and Trappc9 exhibits imprinted expression in the neonatal brain (101). Kcnk9 and Trappc9 were not differentially expressed in MatDup.dist7 versus PatDup.dist7 MEFs, and this was in agreement with the absence of an allele-specific chromatin pattern. DISCUSSION In this study, we provide a panoramic map of the allelespecific epigenetic features along distal chromosomes 7 and 15 with high resolution. This is the first study to systematically analyze chromatin along a more-than-100-mb-long genomic region in an allele-specific fashion, providing a unique opportunity to determine the extent of allele-specific marking at individual imprinted genes and the extent of imprinted domains. This analysis also allows us to experimentally derive a chromatin-based imprinted gene signature algorithm. Reciprocal allele-specific chromatin marks are focused at DMRs and imprinted genes. In MatDup.dist7-PatDup.dist7 MEFs, five known germ line DMRs, the paternally methylated H19-Igf2 ICR and the maternally methylated KvDMR1, Slc38a4, Peg13, and Inpp5f_v5 DMRs, can be investigated along the duplicated part of the genome (Fig. 1). We found that each of these DMRs exhibited reciprocal allele-specific focal chromatin marks, an H3K9me3 peak at the methylated allele and H3K9ac and at least one more active mark, H3K4m3 and/or CTCF insulator peaks, at the unmethylated allele. Allele-specific chromatin was present at genes that were expressed differentially in MatDup.dist7 and PatDup.dist7 MEFs. Promoters of genes exhibiting imprinted expression were always allele specifically marked by H3K9ac, H3K4me3, and H3K4me2 and sometimes also by H4K91ac and H3K79me2. Marking of imprinted domains by histone acetylation showed differences between the globular domain residue H4K91ac and the tail domain residue H3K9ac. H3K9ac enrichment was more focused at the TSS, similarly to H3K4me3, whereas H4K91ac was more spread out along the transcript, closely mimicking H3K4me2, supporting the idea that acetylation at different lysine residues may have different meanings for imprinted gene expression (86). The silent promoter allele always contained a distinct H3K9me3 peak and sometimes an H3K79me3 peak. This result is similar to recent allele-specific chromatin mapping results along the 250-kb T hp deletion on mouse chromosome 17 that show sharp active and repressive chromatin marks in a mutually exclusive fashion in the opposite alleles of the Igf2r-Airn imprinted domain (77). Allele-specific expression was the prerequisite for exhibiting allele-specific reciprocal active and repressive chromatin composition, except at the Inpp5f_v2 and Slc22a18 transcripts. Imprinted genes with placenta-specific imprinted expression generally did not exhibit allele-specific chromatin in MEFs. This is expected, because the allele-specific expression of imprinted genes and their epigenetic features in MEFs is highly similar to those of the embryo at 13.5 dpc (30, 87). Broad enrichment of H3K27me3 along imprinted domains has an allele-specific component. Apart from discrete enrichment foci for reciprocal chromatin marks, we also found extended biallelic H3K27me3 BLOCs (70, 77) along two imprinted domains. In the present study, we discovered the allelespecific nature of H3K27me3 BLOCs. At the H19-Igf2 domain, H3K27me3 spread over a 100-kb-long region encompassing H19, Igf2, Igf2as, and Ins2 imprinted genes and was dominant in the maternal allele. This allele-specific BLOC may facilitate the CTCF protein s insulation over Igf2. Indeed, chromatin organization at the Igf2 gene depends on CTCF binding in the ICR (30) and is mediated by Polycomb protein, Suz12, binding in the ICR (49). The other allele-specific feature of BLOCs was that broad biallelic H3K27me3 enrichment was interrupted by allele-specific gaps at transcripts. In MatDup.dist7 MEFs, the H19 promoter region resided in an H3K27me3-free

10 1766 SINGH ET AL. MOL. CELL. BIOL. FIG. 6. Chromatin analysis of imprinted genes on distal Chr15. A map depicting the imprinting status of the Peg13 and the Slc38a4 imprinted regions along distal Chr15 is shown at the top. ChIP-on-chip results are shown for the maternal allele in PatDup.dist7 (red bars) and for the paternal allele in MatDup.dist7 (blue bars) MEFs, with the antibodies indicated to the right. The last two rows depict MIRA analysis. gap. Reciprocally, the ds cdna hybridization signal occupied a window of about 67 kb at the Kcnq1ot1 transcript, and the H3K27me3 signal exhibited a sharp gap around this transcript in PatDup.dist7 MEFs (Fig. 3). The paternal allele-specific H3K27me3 gap in the biallelic H3K27me3 BLOC is a novel feature of the Kcnq1-Cdkn1c imprinted domain. Previous chromatin analysis by Umlauf (98) showed that in 9.5-dpc embryos, H3K27me3 is maternal allele specific at one singlenucleotide polymorphism (SNP) located at the 5 end of the Kcnq1ot1 RNA and biallelic at another SNP about 37 kb downstream. Pandey and colleagues (68) mapped the chromatin along this imprinted domain in placenta and liver in a nonallele-specific fashion and found that H3K27me3 levels are relatively low along the Kcnq1ot1 transcript. They also reported that H3K27me3 is paternal allele specific at four SNPs (Cd81, Tspan32, Kcnq1, and Slc22a18) in the placenta, but they did not investigate allele-specific H3K27me3 in the embryo. It will be interesting to find out whether this Polycomb-dependent repressing mark is required for monoallelic silencing of the Kcnq1ot1 gene or if the Kcnq1ot1 RNA directly excludes H3K27me3 from the paternal allele in the embryo. Interestingly, Kcnq1ot1 has an opposite role in the placenta: it recruits

11 VOL. 31, 2011 CHROMOSOME-WIDE ALLELE-SPECIFIC CHROMATIN ANALYSIS 1767 PRC2 complex members to the paternal allele along the domain (68). CTCF and DMRs. A robust CTCF peak in the H19-Igf2 ICR in the present study confirmed in vivo CTCF footprints in MatDup.dist7 versus PatDup.dist7 MEFs (91) and ChIP- SNuPE results of maternal allele-specific CTCF binding in normal MEFs (30). The role of CTCF-mediated insulation at this locus in MEFs has been confirmed genetically (30, 93). A CTCF-mediated insulation-based mechanism has been debated with respect to the KvDMR1 (37, 52). Although we didn t find reproducible CTCF binding in PatDup.dist7 MEFs at the KvDMR1 using ChIP-on-chip analysis, paternal allelespecific in vivo CTCF binding had been detected there previously by ChIP (24), suggesting functional importance for these sites. Further genetic analysis will be required to test whether the KvDMR1 regulates imprinted gene expression by an enhancer-blocking mechanism (24) in specific organs (85), perhaps at low-occupancy CTCF sites (20). We found that CTCF binding is maternal allele specific in the paternally methylated upstream somatic DMR of Cdkn1c (6, 47, 105) at a consensus binding site (40) (Fig. 3). In addition, we identified a very clear novel CTCF peak in the Peg13 DMR in the paternal allele. Allele-specific CTCF binding may thus play a role in regulating imprinted expression of the Cdkn1c and the Peg13 genes. Indeed, CTCF may be a more common theme in genomic imprinting than previously appreciated. Allele specificity of histone globular domain modifications. We reported recently that the methylated alleles of DMRs are distinguished by H3K79me3, whereas the unmethylated alleles are enriched in H3K79me2 (87). The present panoramic analyses confirmed that H3K79me3 is paternal allele specific at the H19-Igf2 ICR, whereas H3K79me2 is paternal allele specific at the Igf2 gene, and also that H3K79me2 is paternal allele specific, whereas H3K79me3 was biallelic at the KvDMR1 (87). We now reveal that H3K79me3 is also maternal allele specific at the maternally methylated Inpp5f_v2 DMR and paternal allele specific at the paternally methylated Cdkn1c upstream somatic DMR. The allele-specific difference between H3K79me2 and H3K79me3 was not always present at regions outside DMRs (H3K79me3 overlapped sometimes with either H3K79me2 or H3K27me3 at specific regions). Globally, however, cluster analysis placed H3K79me2 together with active chromatin marks, histone acetylation, H3K4 methylation, CTCF, and gene density, whereas H3K79me3 clustered with gene-poor regions and repressive histone marks, H3K9me3 and H3K27me3. Additionally, in the composite profile of genes displaying low expression or no expression, a peak of H3K79me3 but not H3K79me2 was present downstream of the TSS (see Fig. S8 in the supplemental material). It will be interesting to find out the role of the different methylated forms of H3K79 in imprinted gene regulation. Highly efficient prediction of imprinted genes based on allele-specific chromatin signature. Recently, large-scale studies aimed at detecting novel imprinted genes (73). The predictions were based on RNA expression differences (1, 28, 57, 83, 101), DNA sequence-based computational predictions (50, 51, 79), DNA methylation differences (35, 89), and epigenetic signature (8, 18, 54, 56, 103). The chromatin-based studies successfully predicted and identified novel imprinted genes but with variable specificity. RNA polymerase II (PolII) binding was allele specifically measured in a high-throughput ChIP-SNP assay (54), but the predicted imprinted genes have not been verified. Using ChIP with deep sequencing, 13/20 of the top sites enriched in H3K4me3 and H3K9me3 marks in the oppositely methylated alleles identified imprinted regions in embryonic stem (ES) cells (56). Overlapping patterns of H3K4me3 and H3K9me3 in somatic cells together with a sperm DMR verified known DMRs in a high-density custom imprinting array and predicted novel imprinted features, but these haven t been confirmed (18). Overlapping H3K4me2 and DNA methylation double hits were enriched at imprinted regions, and overlapping H3K4me2, DNA methylation, and CTCF binding triple hits were even more enriched (103), but the prediction was not absolutely precise. The comprehensive allele-specific chromatin data obtained from our study allowed us to generate and test a consensus imprinted gene chromatin signature. This empirically derived definition, H3K9ac and CTCF or H3K4me3 in one allele and H3K9me3 in the other allele, with the sliding-window approach, recognized imprinted genes with an unprecedented 100% precision. It identified only imprinted genes along the duplicated genomic segments, H19, Igf2, Igf2as, Cdkn1c, Kcnq1ot1, and Inpp5f_v2 on distal Chr7 and Peg13 and Slc38a4 on distal Chr15. The proof for the algorithm s utility is that, based on the chromatin of distal Chr7 imprinted genes, it correctly predicted imprinted genes using a similar data set from an independent duplicated chromosome, distal Chr15. Additionally, the approach correctly determined the expressed allele for each gene. The regions having predictive power were located at the proximity of imprinted genes themselves and at their DMRs. A limitation of this method seems to be that it did not predict novel imprinted genes in the genomic region analyzed in the given cell type. The likely explanation can be that there are no more differentially expressed genes in MEFs along the duplicated genomic region. Our study can be considered proof-of-principle analysis, based on two well-studied chromosome regions in one cell type. Indeed, the predictive power of the algorithm for the given genomic region was better than if predictions were based on DNA methylation only or on monoallelic gene expression in the given cell type. The predictor recognized imprinted genes in the absence of a DNA methylation mark and in the absence of expression. Igf2 and Igf2as are not associated with a typical DMR. Methylation of the Igf2 DMR1 is biased toward the expressed paternal allele (14, 63). It would not be possible to predict their imprinting status based on DNA methylation, but the chromatin-based predictor algorithm correctly identified Igf2 and Igf2as as paternally expressed imprinted genes. Inpp5f_v2 is imprinted in brain with paternal allele-specific expression but is not expressed in other organs (12). The imprinting signature algorithm in combination with the sliding-window approach recognized Inpp5f_v2 as imprinted based on the allele-specific chromatin profile even though it was not annotated and did not show expression in MEFs according to ds cdna hybridization (Fig. 4). Because the prediction of Inpp5f_v2 was an exception, our results suggest that imprinted gene predictions that rely on epigenetic features should be done in a cell-type/organ-specific fashion. Our analysis provides evidence that reciprocal translocations along the mouse genome (

Chromosome-wide Analysis of Parental Allele-specific. Chromatin and DNA Methylation

Chromosome-wide Analysis of Parental Allele-specific. Chromatin and DNA Methylation MCB Accepts, published online ahead of print on 1 February 0 Mol. Cell. Biol. doi:./mcb.001- Copyright 0, American Society for Microbiology and/or the Listed Authors/Institutions. All Rights Reserved.

More information

Joanna Hillman Michael Higgins Lab Oncology for Scientists I 10/29/2015

Joanna Hillman Michael Higgins Lab Oncology for Scientists I 10/29/2015 Joanna Hillman Michael Higgins Lab Oncology for Scientists I 10/29/2015 ! Define Epigenetics & Genomic Imprinting! Discovery! What is the imprint! Lifecycle of an Imprint DMRs and ICEs! 2 main mechanisms

More information

Computational Analysis of UHT Sequences Histone modifications, CAGE, RNA-Seq

Computational Analysis of UHT Sequences Histone modifications, CAGE, RNA-Seq Computational Analysis of UHT Sequences Histone modifications, CAGE, RNA-Seq Philipp Bucher Wednesday January 21, 2009 SIB graduate school course EPFL, Lausanne ChIP-seq against histone variants: Biological

More information

Today. Genomic Imprinting & X-Inactivation

Today. Genomic Imprinting & X-Inactivation Today 1. Quiz (~12 min) 2. Genomic imprinting in mammals 3. X-chromosome inactivation in mammals Note that readings on Dosage Compensation and Genomic Imprinting in Mammals are on our web site. Genomic

More information

Imprinting. Joyce Ohm Cancer Genetics and Genomics CGP-L2-319 x8821

Imprinting. Joyce Ohm Cancer Genetics and Genomics CGP-L2-319 x8821 Imprinting Joyce Ohm Cancer Genetics and Genomics CGP-L2-319 x8821 Learning Objectives 1. To understand the basic concepts of genomic imprinting Genomic imprinting is an epigenetic phenomenon that causes

More information

Genetics and Genomics in Medicine Chapter 6 Questions

Genetics and Genomics in Medicine Chapter 6 Questions Genetics and Genomics in Medicine Chapter 6 Questions Multiple Choice Questions Question 6.1 With respect to the interconversion between open and condensed chromatin shown below: Which of the directions

More information

Not IN Our Genes - A Different Kind of Inheritance.! Christopher Phiel, Ph.D. University of Colorado Denver Mini-STEM School February 4, 2014

Not IN Our Genes - A Different Kind of Inheritance.! Christopher Phiel, Ph.D. University of Colorado Denver Mini-STEM School February 4, 2014 Not IN Our Genes - A Different Kind of Inheritance! Christopher Phiel, Ph.D. University of Colorado Denver Mini-STEM School February 4, 2014 Epigenetics in Mainstream Media Epigenetics *Current definition:

More information

7SK ChIRP-seq is specifically RNA dependent and conserved between mice and humans.

7SK ChIRP-seq is specifically RNA dependent and conserved between mice and humans. Supplementary Figure 1 7SK ChIRP-seq is specifically RNA dependent and conserved between mice and humans. Regions targeted by the Even and Odd ChIRP probes mapped to a secondary structure model 56 of the

More information

Long noncoding RNA-mediated maintenance of DNA methylation and transcriptional gene silencing

Long noncoding RNA-mediated maintenance of DNA methylation and transcriptional gene silencing 2792 Development 139, 2792-2803 (2012) doi:10.1242/dev.079566 2012. Published by The Company of Biologists Ltd Long noncoding RNA-mediated maintenance of DNA methylation and transcriptional gene silencing

More information

Accessing and Using ENCODE Data Dr. Peggy J. Farnham

Accessing and Using ENCODE Data Dr. Peggy J. Farnham 1 William M Keck Professor of Biochemistry Keck School of Medicine University of Southern California How many human genes are encoded in our 3x10 9 bp? C. elegans (worm) 959 cells and 1x10 8 bp 20,000

More information

Supplemental Figure S1. Tertiles of FKBP5 promoter methylation and internal regulatory region

Supplemental Figure S1. Tertiles of FKBP5 promoter methylation and internal regulatory region Supplemental Figure S1. Tertiles of FKBP5 promoter methylation and internal regulatory region methylation in relation to PSS and fetal coupling. A, PSS values for participants whose placentas showed low,

More information

An Unexpected Function of the Prader-Willi Syndrome Imprinting Center in Maternal Imprinting in Mice

An Unexpected Function of the Prader-Willi Syndrome Imprinting Center in Maternal Imprinting in Mice An Unexpected Function of the Prader-Willi Syndrome Imprinting Center in Maternal Imprinting in Mice Mei-Yi Wu 1 *, Ming Jiang 1, Xiaodong Zhai 2, Arthur L. Beaudet 2, Ray-Chang Wu 1 * 1 Department of

More information

Bisphenol A Exposure Disrupts Genomic Imprinting in the Mouse

Bisphenol A Exposure Disrupts Genomic Imprinting in the Mouse Bisphenol A Exposure Disrupts Genomic Imprinting in the Mouse Martha Susiarjo 1,2, Isaac Sasson 3, Clementina Mesaros 4, Marisa S. Bartolomei 1,2 * 1 Department of Cell and Developmental Biology, University

More information

Transcriptional repression of Xi

Transcriptional repression of Xi Transcriptional repression of Xi Xist Transcription of Xist Xist RNA Spreading of Xist Recruitment of repression factors. Stable repression Translocated Xic cannot efficiently silence autosome regions.

More information

Nature Structural & Molecular Biology: doi: /nsmb.2419

Nature Structural & Molecular Biology: doi: /nsmb.2419 Supplementary Figure 1 Mapped sequence reads and nucleosome occupancies. (a) Distribution of sequencing reads on the mouse reference genome for chromosome 14 as an example. The number of reads in a 1 Mb

More information

Nature Genetics: doi: /ng Supplementary Figure 1. Assessment of sample purity and quality.

Nature Genetics: doi: /ng Supplementary Figure 1. Assessment of sample purity and quality. Supplementary Figure 1 Assessment of sample purity and quality. (a) Hematoxylin and eosin staining of formaldehyde-fixed, paraffin-embedded sections from a human testis biopsy collected concurrently with

More information

Supplementary Figure S1. Gene expression analysis of epidermal marker genes and TP63.

Supplementary Figure S1. Gene expression analysis of epidermal marker genes and TP63. Supplementary Figure Legends Supplementary Figure S1. Gene expression analysis of epidermal marker genes and TP63. A. Screenshot of the UCSC genome browser from normalized RNAPII and RNA-seq ChIP-seq data

More information

Nature Structural & Molecular Biology: doi: /nsmb Supplementary Figure 1

Nature Structural & Molecular Biology: doi: /nsmb Supplementary Figure 1 Supplementary Figure 1 Effect of HSP90 inhibition on expression of endogenous retroviruses. (a) Inducible shrna-mediated Hsp90 silencing in mouse ESCs. Immunoblots of total cell extract expressing the

More information

OVERVIEW OF EPIGENETICS

OVERVIEW OF EPIGENETICS OVERVIEW OF EIENETICS Date: * Time: 9:00 am - 9:50 am * Room: Berryhill 103 Lecturer: Terry Magnuson 4312 MBRB trm4@med.unc.edu 843-6475 *lease consult the online schedule for this course for the definitive

More information

MIR retrotransposon sequences provide insulators to the human genome

MIR retrotransposon sequences provide insulators to the human genome Supplementary Information: MIR retrotransposon sequences provide insulators to the human genome Jianrong Wang, Cristina Vicente-García, Davide Seruggia, Eduardo Moltó, Ana Fernandez- Miñán, Ana Neto, Elbert

More information

Heintzman, ND, Stuart, RK, Hon, G, Fu, Y, Ching, CW, Hawkins, RD, Barrera, LO, Van Calcar, S, Qu, C, Ching, KA, Wang, W, Weng, Z, Green, RD,

Heintzman, ND, Stuart, RK, Hon, G, Fu, Y, Ching, CW, Hawkins, RD, Barrera, LO, Van Calcar, S, Qu, C, Ching, KA, Wang, W, Weng, Z, Green, RD, Heintzman, ND, Stuart, RK, Hon, G, Fu, Y, Ching, CW, Hawkins, RD, Barrera, LO, Van Calcar, S, Qu, C, Ching, KA, Wang, W, Weng, Z, Green, RD, Crawford, GE, Ren, B (2007) Distinct and predictive chromatin

More information

An epigenetic approach to understanding (and predicting?) environmental effects on gene expression

An epigenetic approach to understanding (and predicting?) environmental effects on gene expression www.collaslab.com An epigenetic approach to understanding (and predicting?) environmental effects on gene expression Philippe Collas University of Oslo Institute of Basic Medical Sciences Stem Cell Epigenetics

More information

Comparison of open chromatin regions between dentate granule cells and other tissues and neural cell types.

Comparison of open chromatin regions between dentate granule cells and other tissues and neural cell types. Supplementary Figure 1 Comparison of open chromatin regions between dentate granule cells and other tissues and neural cell types. (a) Pearson correlation heatmap among open chromatin profiles of different

More information

Allelic reprogramming of the histone modification H3K4me3 in early mammalian development

Allelic reprogramming of the histone modification H3K4me3 in early mammalian development Allelic reprogramming of the histone modification H3K4me3 in early mammalian development 张戈 Method and material STAR ChIP seq (small-scale TELP-assisted rapid ChIP seq) 200 mouse embryonic stem cells PWK/PhJ

More information

Supplemental Figure 1. Genes showing ectopic H3K9 dimethylation in this study are DNA hypermethylated in Lister et al. study.

Supplemental Figure 1. Genes showing ectopic H3K9 dimethylation in this study are DNA hypermethylated in Lister et al. study. mc mc mc mc SUP mc mc Supplemental Figure. Genes showing ectopic HK9 dimethylation in this study are DNA hypermethylated in Lister et al. study. Representative views of genes that gain HK9m marks in their

More information

Most severely affected will be the probe for exon 15. Please keep an eye on the D-fragments (especially the 96 nt fragment).

Most severely affected will be the probe for exon 15. Please keep an eye on the D-fragments (especially the 96 nt fragment). SALSA MLPA probemix P343-C3 Autism-1 Lot C3-1016. As compared to version C2 (lot C2-0312) five reference probes have been replaced, one reference probe added and several lengths have been adjusted. Warning:

More information

EPIGENOMICS PROFILING SERVICES

EPIGENOMICS PROFILING SERVICES EPIGENOMICS PROFILING SERVICES Chromatin analysis DNA methylation analysis RNA-seq analysis Diagenode helps you uncover the mysteries of epigenetics PAGE 3 Integrative epigenomics analysis DNA methylation

More information

Smchd1 regulates a subset of autosomal genes subject to monoallelic expression in addition to being critical for X inactivation

Smchd1 regulates a subset of autosomal genes subject to monoallelic expression in addition to being critical for X inactivation Mould et al. Epigenetics & Chromatin 2013, 6:19 RESEARCH Open Access Smchd1 regulates a subset of autosomal genes subject to monoallelic expression in addition to being critical for X inactivation Arne

More information

Nature Immunology: doi: /ni Supplementary Figure 1. Characteristics of SEs in T reg and T conv cells.

Nature Immunology: doi: /ni Supplementary Figure 1. Characteristics of SEs in T reg and T conv cells. Supplementary Figure 1 Characteristics of SEs in T reg and T conv cells. (a) Patterns of indicated transcription factor-binding at SEs and surrounding regions in T reg and T conv cells. Average normalized

More information

EpiQuik Circulating Acetyl Histone H3K18 ELISA Kit (Colorimetric)

EpiQuik Circulating Acetyl Histone H3K18 ELISA Kit (Colorimetric) EpiQuik Circulating Acetyl Histone H3K18 ELISA Kit (Colorimetric) Base Catalog # PLEASE READ THIS ENTIRE USER GUIDE BEFORE USE Uses: The EpiQuik Circulating Acetyl Histone H3K18 ELISA Kit (Colorimetric)

More information

LTA Analysis of HapMap Genotype Data

LTA Analysis of HapMap Genotype Data LTA Analysis of HapMap Genotype Data Introduction. This supplement to Global variation in copy number in the human genome, by Redon et al., describes the details of the LTA analysis used to screen HapMap

More information

Analysis of Massively Parallel Sequencing Data Application of Illumina Sequencing to the Genetics of Human Cancers

Analysis of Massively Parallel Sequencing Data Application of Illumina Sequencing to the Genetics of Human Cancers Analysis of Massively Parallel Sequencing Data Application of Illumina Sequencing to the Genetics of Human Cancers Gordon Blackshields Senior Bioinformatician Source BioScience 1 To Cancer Genetics Studies

More information

Supplementary note: Comparison of deletion variants identified in this study and four earlier studies

Supplementary note: Comparison of deletion variants identified in this study and four earlier studies Supplementary note: Comparison of deletion variants identified in this study and four earlier studies Here we compare the results of this study to potentially overlapping results from four earlier studies

More information

The Insulator Binding Protein CTCF Positions 20 Nucleosomes around Its Binding Sites across the Human Genome

The Insulator Binding Protein CTCF Positions 20 Nucleosomes around Its Binding Sites across the Human Genome The Insulator Binding Protein CTCF Positions 20 Nucleosomes around Its Binding Sites across the Human Genome Yutao Fu 1, Manisha Sinha 2,3, Craig L. Peterson 3, Zhiping Weng 1,4,5 * 1 Bioinformatics Program,

More information

Genomic structural variation

Genomic structural variation Genomic structural variation Mario Cáceres The new genomic variation DNA sequence differs across individuals much more than researchers had suspected through structural changes A huge amount of structural

More information

SUPPLEMENTARY INFORMATION

SUPPLEMENTARY INFORMATION doi:.38/nature8975 SUPPLEMENTAL TEXT Unique association of HOTAIR with patient outcome To determine whether the expression of other HOX lincrnas in addition to HOTAIR can predict patient outcome, we measured

More information

Predictive Blood DNA Markers for Breast Cancer Xiang Zhang, Ph.D.

Predictive Blood DNA Markers for Breast Cancer Xiang Zhang, Ph.D. Predictive Blood DNA Markers for Breast Cancer Xiang Zhang, Ph.D. Department of Environmental Health University of Cincinnati Background Breast cancer (BCa) The second most common cancer among women in

More information

The Epigenome Tools 2: ChIP-Seq and Data Analysis

The Epigenome Tools 2: ChIP-Seq and Data Analysis The Epigenome Tools 2: ChIP-Seq and Data Analysis Chongzhi Zang zang@virginia.edu http://zanglab.com PHS5705: Public Health Genomics March 20, 2017 1 Outline Epigenome: basics review ChIP-seq overview

More information

Overview: Conducting the Genetic Orchestra Prokaryotes and eukaryotes alter gene expression in response to their changing environment

Overview: Conducting the Genetic Orchestra Prokaryotes and eukaryotes alter gene expression in response to their changing environment Overview: Conducting the Genetic Orchestra Prokaryotes and eukaryotes alter gene expression in response to their changing environment In multicellular eukaryotes, gene expression regulates development

More information

Peak-calling for ChIP-seq and ATAC-seq

Peak-calling for ChIP-seq and ATAC-seq Peak-calling for ChIP-seq and ATAC-seq Shamith Samarajiwa CRUK Autumn School in Bioinformatics 2017 University of Cambridge Overview Peak-calling: identify enriched (signal) regions in ChIP-seq or ATAC-seq

More information

Supplementary Figures

Supplementary Figures Supplementary Figures Supplementary Figure 1. Heatmap of GO terms for differentially expressed genes. The terms were hierarchically clustered using the GO term enrichment beta. Darker red, higher positive

More information

a) List of KMTs targeted in the shrna screen. The official symbol, KMT designation,

a) List of KMTs targeted in the shrna screen. The official symbol, KMT designation, Supplementary Information Supplementary Figures Supplementary Figure 1. a) List of KMTs targeted in the shrna screen. The official symbol, KMT designation, gene ID and specifities are provided. Those highlighted

More information

Histones modifications and variants

Histones modifications and variants Histones modifications and variants Dr. Institute of Molecular Biology, Johannes Gutenberg University, Mainz www.imb.de Lecture Objectives 1. Chromatin structure and function Chromatin and cell state Nucleosome

More information

High Throughput Sequence (HTS) data analysis. Lei Zhou

High Throughput Sequence (HTS) data analysis. Lei Zhou High Throughput Sequence (HTS) data analysis Lei Zhou (leizhou@ufl.edu) High Throughput Sequence (HTS) data analysis 1. Representation of HTS data. 2. Visualization of HTS data. 3. Discovering genomic

More information

Epigenetics: Basic Principals and role in health and disease

Epigenetics: Basic Principals and role in health and disease Epigenetics: Basic Principals and role in health and disease Cambridge Masterclass Workshop on Epigenetics in GI Health and Disease 3 rd September 2013 Matt Zilbauer Overview Basic principals of Epigenetics

More information

Regulation of Gene Expression in Eukaryotes

Regulation of Gene Expression in Eukaryotes Ch. 19 Regulation of Gene Expression in Eukaryotes BIOL 222 Differential Gene Expression in Eukaryotes Signal Cells in a multicellular eukaryotic organism genetically identical differential gene expression

More information

MRC-Holland MLPA. Description version 08; 30 March 2015

MRC-Holland MLPA. Description version 08; 30 March 2015 SALSA MLPA probemix P351-C1 / P352-D1 PKD1-PKD2 P351-C1 lot C1-0914: as compared to the previous version B2 lot B2-0511 one target probe has been removed and three reference probes have been replaced.

More information

Annotation of Chimp Chunk 2-10 Jerome M Molleston 5/4/2009

Annotation of Chimp Chunk 2-10 Jerome M Molleston 5/4/2009 Annotation of Chimp Chunk 2-10 Jerome M Molleston 5/4/2009 1 Abstract A stretch of chimpanzee DNA was annotated using tools including BLAST, BLAT, and Genscan. Analysis of Genscan predicted genes revealed

More information

CHROMOSOMAL MICROARRAY (CGH+SNP)

CHROMOSOMAL MICROARRAY (CGH+SNP) Chromosome imbalances are a significant cause of developmental delay, mental retardation, autism spectrum disorders, dysmorphic features and/or birth defects. The imbalance of genetic material may be due

More information

SALSA MLPA KIT P060-B2 SMA

SALSA MLPA KIT P060-B2 SMA SALSA MLPA KIT P6-B2 SMA Lot 111, 511: As compared to the previous version B1 (lot 11), the 88 and 96 nt DNA Denaturation control fragments have been replaced (QDX2). Please note that, in contrast to the

More information

Beckwith-Wiedemann syndrome: imprinting in clusters revisited. Perspective. Eamonn R. Maher 1 and Wolf Reik 2 1

Beckwith-Wiedemann syndrome: imprinting in clusters revisited. Perspective. Eamonn R. Maher 1 and Wolf Reik 2 1 Beckwith-Wiedemann syndrome: imprinting in clusters revisited Perspective SERIES on epigenetic regulation Eamonn R. Maher 1 and Wolf Reik 2 1 Section of Medical and Molecular Genetics, Department of Paediatrics

More information

Dedicated to my family

Dedicated to my family Dedicated to my family List of Papers This thesis is based on the following papers, which are referred to in the text by their Roman numerals. I Mohammad F*, Pandey RR*, Nagano T, Chakalova L, Mondal

More information

PRADER WILLI/ANGELMAN

PRADER WILLI/ANGELMAN SALSA MS-MLPA probemix ME028-B2 PRADER WILLI/ANGELMAN Lot B2-0811: As compared to version B1 (lot B1-0609, B1-1108), the 88 and 96 nt control fragments have been replaced (QDX2). PRADER-WILLI SYNDROME

More information

Nature Genetics: doi: /ng Supplementary Figure 1. SEER data for male and female cancer incidence from

Nature Genetics: doi: /ng Supplementary Figure 1. SEER data for male and female cancer incidence from Supplementary Figure 1 SEER data for male and female cancer incidence from 1975 2013. (a,b) Incidence rates of oral cavity and pharynx cancer (a) and leukemia (b) are plotted, grouped by males (blue),

More information

Supplementary Figures

Supplementary Figures Supplementary Figures Supplementary Figure 1. Confirmation of Dnmt1 conditional knockout out mice. a, Representative images of sorted stem (Lin - CD49f high CD24 + ), luminal (Lin - CD49f low CD24 + )

More information

Long Noncoding RNAs in Imprinting and X Chromosome Inactivation

Long Noncoding RNAs in Imprinting and X Chromosome Inactivation Biomolecules 2014, 4, 76-100; doi:10.3390/biom4010076 Review OPEN ACCESS biomolecules ISSN 2218-273X www.mdpi.com/journal/biomolecules/ Long Noncoding RNAs in Imprinting and X Chromosome Inactivation Joseph

More information

Global variation in copy number in the human genome

Global variation in copy number in the human genome Global variation in copy number in the human genome Redon et. al. Nature 444:444-454 (2006) 12.03.2007 Tarmo Puurand Study 270 individuals (HapMap collection) Affymetrix 500K Whole Genome TilePath (WGTP)

More information

CRISPR/Cas9 Enrichment and Long-read WGS for Structural Variant Discovery

CRISPR/Cas9 Enrichment and Long-read WGS for Structural Variant Discovery CRISPR/Cas9 Enrichment and Long-read WGS for Structural Variant Discovery PacBio CoLab Session October 20, 2017 For Research Use Only. Not for use in diagnostics procedures. Copyright 2017 by Pacific Biosciences

More information

Epigenetics and Chromatin Remodeling

Epigenetics and Chromatin Remodeling Epigenetics and Chromatin Remodeling Bradford Coffee, PhD, FACMG Emory University Atlanta, GA Speaker Disclosure Information Grant/Research Support: none Salary/Consultant Fees: none Board/Committee/Advisory

More information

High resolution melting for methylation analysis

High resolution melting for methylation analysis High resolution melting for methylation analysis Helen White, PhD Senior Scientist National Genetics Reference Lab (Wessex) Why analyse methylation? Genomic imprinting In diploid organisms somatic cells

More information

Antagonism between DNA and H3K27 Methylation at the Imprinted Rasgrf1 Locus

Antagonism between DNA and H3K27 Methylation at the Imprinted Rasgrf1 Locus Antagonism between DNA and H3K27 Methylation at the Imprinted Rasgrf1 Locus Anders M. Lindroth 1., Yoon Jung Park 1., Chelsea M. McLean 1, Gregoriy A. Dokshin 1, Jenna M. Persson 1, Herry Herman 1,2, Diego

More information

Relationship between genomic features and distributions of RS1 and RS3 rearrangements in breast cancer genomes.

Relationship between genomic features and distributions of RS1 and RS3 rearrangements in breast cancer genomes. Supplementary Figure 1 Relationship between genomic features and distributions of RS1 and RS3 rearrangements in breast cancer genomes. (a,b) Values of coefficients associated with genomic features, separately

More information

Where Splicing Joins Chromatin And Transcription. 9/11/2012 Dario Balestra

Where Splicing Joins Chromatin And Transcription. 9/11/2012 Dario Balestra Where Splicing Joins Chromatin And Transcription 9/11/2012 Dario Balestra Splicing process overview Splicing process overview Sequence context RNA secondary structure Tissue-specific Proteins Development

More information

Structural Variation and Medical Genomics

Structural Variation and Medical Genomics Structural Variation and Medical Genomics Andrew King Department of Biomedical Informatics July 8, 2014 You already know about small scale genetic mutations Single nucleotide polymorphism (SNPs) Deletions,

More information

SUPPLEMENTARY INFORMATION

SUPPLEMENTARY INFORMATION doi:10.1038/nature10866 a b 1 2 3 4 5 6 7 Match No Match 1 2 3 4 5 6 7 Turcan et al. Supplementary Fig.1 Concepts mapping H3K27 targets in EF CBX8 targets in EF H3K27 targets in ES SUZ12 targets in ES

More information

2001 Oxford University Press Human Molecular Genetics, 2001, Vol. 10, No

2001 Oxford University Press Human Molecular Genetics, 2001, Vol. 10, No 2001 Oxford University Press Human Molecular Genetics, 2001, Vol. 10, No. 26 2989 3000 Tumor development in the Beckwith Wiedemann syndrome is associated with a variety of constitutional molecular 11p15

More information

Nature Immunology: doi: /ni Supplementary Figure 1. DNA-methylation machinery is essential for silencing of Cd4 in cytotoxic T cells.

Nature Immunology: doi: /ni Supplementary Figure 1. DNA-methylation machinery is essential for silencing of Cd4 in cytotoxic T cells. Supplementary Figure 1 DNA-methylation machinery is essential for silencing of Cd4 in cytotoxic T cells. (a) Scheme for the retroviral shrna screen. (b) Histogram showing CD4 expression (MFI) in WT cytotoxic

More information

SUPPLEMENTAL INFORMATION

SUPPLEMENTAL INFORMATION SUPPLEMENTAL INFORMATION GO term analysis of differentially methylated SUMIs. GO term analysis of the 458 SUMIs with the largest differential methylation between human and chimp shows that they are more

More information

Supplementary Figure 1

Supplementary Figure 1 Supplementary Figure 1 5 microns C7 B6 unclassified H19 C7 signal H19 guide signal H19 B6 signal C7 SNP spots H19 RNA spots B6 SNP spots colocalization H19 RNA classification Supplementary Figure 1. Allele-specific

More information

Breast cancer. Risk factors you cannot change include: Treatment Plan Selection. Inferring Transcriptional Module from Breast Cancer Profile Data

Breast cancer. Risk factors you cannot change include: Treatment Plan Selection. Inferring Transcriptional Module from Breast Cancer Profile Data Breast cancer Inferring Transcriptional Module from Breast Cancer Profile Data Breast Cancer and Targeted Therapy Microarray Profile Data Inferring Transcriptional Module Methods CSC 177 Data Warehousing

More information

MRC-Holland MLPA. Description version 19;

MRC-Holland MLPA. Description version 19; SALSA MLPA probemix P6-B2 SMA Lot B2-712, B2-312, B2-111, B2-511: As compared to the previous version B1 (lot B1-11), the 88 and 96 nt DNA Denaturation control fragments have been replaced (QDX2). SPINAL

More information

H3K4 demethylase KDM5B regulates global dynamics of transcription elongation and alternative splicing in embryonic stem cells

H3K4 demethylase KDM5B regulates global dynamics of transcription elongation and alternative splicing in embryonic stem cells Nucleic Acids Research, 2017 1 doi: 10.1093/nar/gkx251 H3K4 demethylase KDM5B regulates global dynamics of transcription elongation and alternative splicing in embryonic stem cells Runsheng He 1,2 and

More information

Biology 2C03 Term Test #3

Biology 2C03 Term Test #3 Biology 2C03 Term Test #3 Instructors: Dr. Kimberley Dej, Ray Procwat Date: Monday March 22, 2010 Time: 10:30 am to 11:20 am Instructions: 1) This midterm test consists of 9 pages. Please ensure that all

More information

Patterns of Histone Methylation and Chromatin Organization in Grapevine Leaf. Rachel Schwope EPIGEN May 24-27, 2016

Patterns of Histone Methylation and Chromatin Organization in Grapevine Leaf. Rachel Schwope EPIGEN May 24-27, 2016 Patterns of Histone Methylation and Chromatin Organization in Grapevine Leaf Rachel Schwope EPIGEN May 24-27, 2016 What does H3K4 methylation do? Plant of interest: Vitis vinifera Culturally important

More information

Abstract. Optimization strategy of Copy Number Variant calling using Multiplicom solutions APPLICATION NOTE. Introduction

Abstract. Optimization strategy of Copy Number Variant calling using Multiplicom solutions APPLICATION NOTE. Introduction Optimization strategy of Copy Number Variant calling using Multiplicom solutions Michael Vyverman, PhD; Laura Standaert, PhD and Wouter Bossuyt, PhD Abstract Copy number variations (CNVs) represent a significant

More information

ChIP-seq data analysis

ChIP-seq data analysis ChIP-seq data analysis Harri Lähdesmäki Department of Computer Science Aalto University November 24, 2017 Contents Background ChIP-seq protocol ChIP-seq data analysis Transcriptional regulation Transcriptional

More information

Nature Genetics: doi: /ng Supplementary Figure 1. Immunofluorescence (IF) confirms absence of H3K9me in met-2 set-25 worms.

Nature Genetics: doi: /ng Supplementary Figure 1. Immunofluorescence (IF) confirms absence of H3K9me in met-2 set-25 worms. Supplementary Figure 1 Immunofluorescence (IF) confirms absence of H3K9me in met-2 set-25 worms. IF images of wild-type (wt) and met-2 set-25 worms showing the loss of H3K9me2/me3 at the indicated developmental

More information

Supplementary Figure 1. Efficiency of Mll4 deletion and its effect on T cell populations in the periphery. Nature Immunology: doi: /ni.

Supplementary Figure 1. Efficiency of Mll4 deletion and its effect on T cell populations in the periphery. Nature Immunology: doi: /ni. Supplementary Figure 1 Efficiency of Mll4 deletion and its effect on T cell populations in the periphery. Expression of Mll4 floxed alleles (16-19) in naive CD4 + T cells isolated from lymph nodes and

More information

Eukaryotic transcription (III)

Eukaryotic transcription (III) Eukaryotic transcription (III) 1. Chromosome and chromatin structure Chromatin, chromatid, and chromosome chromatin Genomes exist as chromatins before or after cell division (interphase) but as chromatids

More information

MRC-Holland MLPA. Description version 12; 13 January 2017

MRC-Holland MLPA. Description version 12; 13 January 2017 SALSA MLPA probemix P219-B3 PAX6 Lot B3-0915: Compared to version B2 (lot B2-1111) two reference probes have been replaced and one additional reference probe has been added. In addition, one flanking probe

More information

Mechanisms of alternative splicing regulation

Mechanisms of alternative splicing regulation Mechanisms of alternative splicing regulation The number of mechanisms that are known to be involved in splicing regulation approximates the number of splicing decisions that have been analyzed in detail.

More information

Chromatin marks identify critical cell-types for fine-mapping complex trait variants

Chromatin marks identify critical cell-types for fine-mapping complex trait variants Chromatin marks identify critical cell-types for fine-mapping complex trait variants Gosia Trynka 1-4 *, Cynthia Sandor 1-4 *, Buhm Han 1-4, Han Xu 5, Barbara E Stranger 1,4#, X Shirley Liu 5, and Soumya

More information

Repressive Transcription

Repressive Transcription Repressive Transcription The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation As Published Publisher Guenther, M. G., and R. A.

More information

Computational aspects of ChIP-seq. John Marioni Research Group Leader European Bioinformatics Institute European Molecular Biology Laboratory

Computational aspects of ChIP-seq. John Marioni Research Group Leader European Bioinformatics Institute European Molecular Biology Laboratory Computational aspects of ChIP-seq John Marioni Research Group Leader European Bioinformatics Institute European Molecular Biology Laboratory ChIP-seq Using highthroughput sequencing to investigate DNA

More information

Variant Classification. Author: Mike Thiesen, Golden Helix, Inc.

Variant Classification. Author: Mike Thiesen, Golden Helix, Inc. Variant Classification Author: Mike Thiesen, Golden Helix, Inc. Overview Sequencing pipelines are able to identify rare variants not found in catalogs such as dbsnp. As a result, variants in these datasets

More information

Review Article Epigenetic Mechanisms of Genomic Imprinting: Common Themes in the Regulation of Imprinted Regions in Mammals, Plants, and Insects

Review Article Epigenetic Mechanisms of Genomic Imprinting: Common Themes in the Regulation of Imprinted Regions in Mammals, Plants, and Insects Genetics Research International Volume 2012, Article ID 585024, 17 pages doi:10.1155/2012/585024 Review Article Epigenetic echanisms of Genomic Imprinting: Common Themes in the Regulation of Imprinted

More information

SALSA MLPA probemix P315-B1 EGFR

SALSA MLPA probemix P315-B1 EGFR SALSA MLPA probemix P315-B1 EGFR Lot B1-0215 and B1-0112. As compared to the previous A1 version (lot 0208), two mutation-specific probes for the EGFR mutations L858R and T709M as well as one additional

More information

MRC-Holland MLPA. Description version 29; 31 July 2015

MRC-Holland MLPA. Description version 29; 31 July 2015 SALSA MLPA probemix P081-C1/P082-C1 NF1 P081 Lot C1-0114. As compared to the previous B2 version (lot 0813 and 0912), 11 target probes are replaced or added, and 10 new reference probes are included. P082

More information

The function of non-coding RNAs in genomic imprinting

The function of non-coding RNAs in genomic imprinting REVIEW 1771 Development 136, 1771-1783 (009) doi:10.14/dev.030403 The function of non-coding RNAs in genomic imprinting Martha V. Koerner*, Florian M. Pauler*, Ru Huang and Denise P. Barlow Non-coding

More information

Lecture 27. Epigenetic regulation of gene expression during development

Lecture 27. Epigenetic regulation of gene expression during development Lecture 27 Epigenetic regulation of gene expression during development Development of a multicellular organism is not only determined by the DNA sequence but also epigenetically through DNA methylation

More information

Discovery of Novel Human Gene Regulatory Modules from Gene Co-expression and

Discovery of Novel Human Gene Regulatory Modules from Gene Co-expression and Discovery of Novel Human Gene Regulatory Modules from Gene Co-expression and Promoter Motif Analysis Shisong Ma 1,2*, Michael Snyder 3, and Savithramma P Dinesh-Kumar 2* 1 School of Life Sciences, University

More information

Jayanti Tokas 1, Puneet Tokas 2, Shailini Jain 3 and Hariom Yadav 3

Jayanti Tokas 1, Puneet Tokas 2, Shailini Jain 3 and Hariom Yadav 3 Jayanti Tokas 1, Puneet Tokas 2, Shailini Jain 3 and Hariom Yadav 3 1 Department of Biotechnology, JMIT, Radaur, Haryana, India 2 KITM, Kurukshetra, Haryana, India 3 NIDDK, National Institute of Health,

More information

EPIGENTEK. EpiQuik Global Acetyl Histone H3K27 Quantification Kit (Colorimetric) Base Catalog # P-4059 PLEASE READ THIS ENTIRE USER GUIDE BEFORE USE

EPIGENTEK. EpiQuik Global Acetyl Histone H3K27 Quantification Kit (Colorimetric) Base Catalog # P-4059 PLEASE READ THIS ENTIRE USER GUIDE BEFORE USE EpiQuik Global Acetyl Histone H3K27 Quantification Kit (Colorimetric) Base Catalog # P-4059 PLEASE READ THIS ENTIRE USER GUIDE BEFORE USE The EpiQuik Global Acetyl Histone H3K27 Quantification Kit (Colorimetric)

More information

Epigenetics. Lyle Armstrong. UJ Taylor & Francis Group. f'ci Garland Science NEW YORK AND LONDON

Epigenetics. Lyle Armstrong. UJ Taylor & Francis Group. f'ci Garland Science NEW YORK AND LONDON ... Epigenetics Lyle Armstrong f'ci Garland Science UJ Taylor & Francis Group NEW YORK AND LONDON Contents CHAPTER 1 INTRODUCTION TO 3.2 CHROMATIN ARCHITECTURE 21 THE STUDY OF EPIGENETICS 1.1 THE CORE

More information

Genetics and Genomics in Medicine Chapter 6. Questions & Answers

Genetics and Genomics in Medicine Chapter 6. Questions & Answers Genetics and Genomics in Medicine Chapter 6 Multiple Choice Questions Questions & Answers Question 6.1 With respect to the interconversion between open and condensed chromatin shown below: Which of the

More information

P323-B1 CDK4-HMGA2-MDM2

P323-B1 CDK4-HMGA2-MDM2 SALSA MLPA probemix P323-B1 CDK4-HMGA2-MDM2 Lot B1-0714, B1-0711. As compared to previous test version (lot A1-0508), this probemix has been completely redesigned. Probes for HMGA2 and several other genes

More information

SUPPLEMENTARY FIGURES: Supplementary Figure 1

SUPPLEMENTARY FIGURES: Supplementary Figure 1 SUPPLEMENTARY FIGURES: Supplementary Figure 1 Supplementary Figure 1. Glioblastoma 5hmC quantified by paired BS and oxbs treated DNA hybridized to Infinium DNA methylation arrays. Workflow depicts analytic

More information

Stem Cell Epigenetics

Stem Cell Epigenetics Stem Cell Epigenetics Philippe Collas University of Oslo Institute of Basic Medical Sciences Norwegian Center for Stem Cell Research www.collaslab.com Source of stem cells in the body Somatic ( adult )

More information

Dominic J Smiraglia, PhD Department of Cancer Genetics. DNA methylation in prostate cancer

Dominic J Smiraglia, PhD Department of Cancer Genetics. DNA methylation in prostate cancer Dominic J Smiraglia, PhD Department of Cancer Genetics DNA methylation in prostate cancer Overarching theme Epigenetic regulation allows the genome to be responsive to the environment Sets the tone for

More information

Advance Your Genomic Research Using Targeted Resequencing with SeqCap EZ Library

Advance Your Genomic Research Using Targeted Resequencing with SeqCap EZ Library Advance Your Genomic Research Using Targeted Resequencing with SeqCap EZ Library Marilou Wijdicks International Product Manager Research For Life Science Research Only. Not for Use in Diagnostic Procedures.

More information