Multi-omics data integration colon cancer using proteogenomics approach

Size: px
Start display at page:

Download "Multi-omics data integration colon cancer using proteogenomics approach"

Transcription

1 Dept. of Medical Oncology Multi-omics data integration colon cancer using proteogenomics approach DTL Focus meeting, 29 August 2016 Thang Pham OncoProteomics Laboratory, Dept. of Medical Oncology VU University Medical Center Featuring 2 KWF projects (co-pi Connie Jimenez), in collaboration with AMC, NKI.

2 Contents CRC proteomics data integration Proteogenomics: splice variants Lots of opportunities when raw data accessible analysis pipelines reproducible version control of external resources: Uniprot, RefSeq, etc...

3 CCA O P VUmc L ONCO Proteomics Laboratory Colorectal cancer, a heterogeneous disease Medical Oncology CRC-OMICs uncovering molecular disease subtypes Int. J. Cancer 2014 Nature 2014

4 TCGA colorectal cancer proteomics 95 samples (5 replicates) 95x15 raw Orbi. Velos files peptides 7526 proteins 86 matched RNA-seq Nature medicine 2015 Nature 513, (2014) Proteogenomic characterization of human colon and rectal cancer.

5 In-house datasets Medical Oncology 2014: TCGA 95 protein profiles 5 subtypes 2013: 1100 gene expression CCS1, CCS2, CCS3 end 2014: 29 tissue profiles + 18 cell lines [OPL47] 2015: CMS1, CMS2, CMS3, CMS4 70 candidates (mostly CCS1 vs CCS3) 2016: 9 CMS2 + 9 CMS3 [OPL18] 2016: 39 single shots CMS1-4 *37 biological samples Identify discriminatory CMS subtype-associated proteins & generate protein classifier 2016: ~120 single shots CMS1-4

6 Medical Oncology Datasets & pipelines OPL 29 tissues + 18 cell lines 217 (=29x5 + 18x4) raw QE files peptides 8742 proteins (including cell lines) no matched RNA-seq protein-level assembly MaxQuant Adromeda search Uniprot database VdB 95 samples (5 replicates) 95x15 raw Orbi. Velos files peptides 7526 proteins 86 matched RNA-seq protein & gene-level assembly IDPicker Myrimatch, MSGF+, Pepitome Refseq database

7 Q Exactive raw files Medical Oncology Data processing workflow Uniprot proteins MaxQuant IDPicker 3 Myrimatch, MSGF+ RefSeq version trypsin sequences MaxQuant text outputs Processed data, statistics & figures

8 Medical Oncology proteins FDR, 0.1% peptide FDR TCGA tissue proteins Amsterdam tissue proteins % OPL cell line proteins

9 Total spectral counts Medical Oncology

10 Unsupervised clustering of proteins with average count > 1.4 (4872) Medical Oncology

11 CCA O P VUmc L ONCO Proteomics Laboratory Medical Oncology Validation of CRC subtype markers using external TCGA CRC proteome data AMS-Connection TCGA Validation 1 Validation 2 is by profiling Match cohort CRC Rotterdam (planned) 11

12 Medical Oncology ccs1 vs ccs3, corrected p < 0.05 TCGA tissue 88 OPL tissue

13 Medical Oncology Examples CCS-subtype enriched markers CCS1-enriched CCS3-enriched Stroma protein part of OncoType Dx prognostic signature cells AMC TCGA cells AMC TCGA HPA: heterogeneous staining; Colon & CRC enriched Promising CRC subtype protein markers identified that link to prognostic groups 13

14 Medical Oncology Random Forrest algorithm 70-gene set training using Amsterdam tissues testing on TCGA prediction css1 css3 observed css css3 1 9

15 Medical Oncology Feature importance gene names

16 Medical Oncology Brute force, testing all 3-gene combinations Amsterdam training TCGA testing gene names 16

17 Medical Oncology Ongoing... Better normalization for cross dataset comparison Brute force approach with 4,5-gene combination, and sensitivity analysis Correlate mrna-protein in AMS and TCGA datasets Whole dataset Per CRC subtype Proteogenomics to search subtype-associated protein variants GO mining/ Network / pathway analysis to uncover CRC subtype associated biology and drug targets Selection of the most discriminatory subtype markers identified in both datasets for IHC follow-up

18 A bioinformatics pipeline for proteogenomics Wang X, et al. (2012) Protein identification using customized protein sequence databases derived from RNA-Seq data. J Proteome Re 11(2):

19 Q Exactive raw files Uniprot proteins new proteins MaxQuant Simple extention to the existing data processing workflow Proteogenomics MaxQuant text outputs Processed data, statistics & figures

20 ccle CCLE_hybrid_capture1650_hg19_NoCommonSNPs_NoNeutralVariants_CDS_ txt web ensembl Ensemble gtf Homo_sapiens.GRCh37.71.gtf web biomart + EntrezGene ID _biomart_export.txt ccle-1651.gtf web ensembl Homo_sapiens.GRCh37.71.dna.toplevel.fa.gz gffread -W ccle.fa Proteogenomics new proteins mutate six-frame translation

21 CCLE data: HT-29 EPHB4 mutation G A

22 Proteogenomic analysis of alternative splicing: the search for novel biomarkers for colorectal cancer RNA splicing accompanies tumor progression splicing translation premrna alternatively spliced mrna protein isoforms Tumor-specific protein isoforms could complement or outperform hemoglobin in CRC screening Design an approach to identify tumor specific protein variants Malgorzata A Komor et al. oral presentation at AACR 2016

23 Colorectal cancer (CRC) has a high cure rate when diagnosed early Population wide screening for colorectal cancer implemented in the Netherlands Fecal immunochemical test (FIT) Colonoscopy FIT+ FIT performance * Specificity: ~95% Sensitivity CRC : ~65% Sensitivity precursor lesions (advanced adenomas): ~27% Need for novel biomarkers * Van Veen W et al, Colorectal cancer screening: advice from the Health Council of the Netherlands, Ned.Tijdschr.Geneesk., 2009

24 Experimental design Down-modulation of splicing machinery to investigate differential splicing in a controlled setting RNA-seq Illumina HiSeq 2x125bp CRC cell lines SW480 Figure adapted from SF3B 1 proteomics LC-MS/MS QExactive PacBio Iso- Seq <10kb sisrsf1 siu2af1 sisf3b1 sint1 sint2 Splice site recognition: SRSF1, U2AF1 Proteogenomic pipeline

25 Quality and adapter trimming Reads mapping (STAR) Mapping QC (RseQC) Differential gene expression (DESeq2) Short RNAseq reads Sequenced full-length transcripts Reference annotation Differential splicing analysis (rmats) 3-frame translation Differential splice variants Potential protein variants Enriched protein database Identify MS/MS through database search Extract variant peptides Alternatively spliced proteins Mass spectra

26 Mass spectrometry revealed that some of the isoforms are translated into proteins Experiment sisf3b1 siu2af1 8 sisrsf1 7 Isoforms for which peptides where detected (PacBio) For a subset of proteins both isoform-specific and canonical peptides were detected Exon skipping: XXXXX ZZZZZ XXXXX------YYYY inclusion XXXXXYYYY exclusion XXXXXZZZZZ

27 Ongoing in proteogenomics The proteogenomic pipeline will be used for discovery and validation of CRC related splice variant proteins patient-derived 3D tissue cultures (organoids) human colorectal (tumor) tissues Validation of the diagnostic performance of these splice variant proteins in stool samples as a biomarker screening test

28 Discussions bioinformatics analysis regularly needs to access external resources and datasets raw data accessible pipeline reproducible cross dataset queries

Proteogenomic analysis of alternative splicing: the search for novel biomarkers for colorectal cancer Gosia Komor

Proteogenomic analysis of alternative splicing: the search for novel biomarkers for colorectal cancer Gosia Komor Proteogenomic analysis of alternative splicing: the search for novel biomarkers for colorectal cancer Gosia Komor Translational Gastrointestinal Oncology Collect clinical samples (Tumor) tissue Blood Stool

More information

Supplemental Data. Integrating omics and alternative splicing i reveals insights i into grape response to high temperature

Supplemental Data. Integrating omics and alternative splicing i reveals insights i into grape response to high temperature Supplemental Data Integrating omics and alternative splicing i reveals insights i into grape response to high temperature Jianfu Jiang 1, Xinna Liu 1, Guotian Liu, Chonghuih Liu*, Shaohuah Li*, and Lijun

More information

Metabolomic and Proteomics Solutions for Integrated Biology. Christine Miller Omics Market Manager ASMS 2015

Metabolomic and Proteomics Solutions for Integrated Biology. Christine Miller Omics Market Manager ASMS 2015 Metabolomic and Proteomics Solutions for Integrated Biology Christine Miller Omics Market Manager ASMS 2015 Integrating Biological Analysis Using Pathways Protein A R HO R Protein B Protein X Identifies

More information

Digitizing the Proteomes From Big Tissue Biobanks

Digitizing the Proteomes From Big Tissue Biobanks Digitizing the Proteomes From Big Tissue Biobanks Analyzing 24 Proteomes Per Day by Microflow SWATH Acquisition and Spectronaut Pulsar Analysis Jan Muntel 1, Nick Morrice 2, Roland M. Bruderer 1, Lukas

More information

Protein Reports CPTAC Common Data Analysis Pipeline (CDAP)

Protein Reports CPTAC Common Data Analysis Pipeline (CDAP) Protein Reports CPTAC Common Data Analysis Pipeline (CDAP) v. 05/03/2016 Summary The purpose of this document is to describe the protein reports generated as part of the CPTAC Common Data Analysis Pipeline

More information

Data mining with Ensembl Biomart. Stéphanie Le Gras

Data mining with Ensembl Biomart. Stéphanie Le Gras Data mining with Ensembl Biomart Stéphanie Le Gras (slegras@igbmc.fr) Guidelines Genome data Genome browsers Getting access to genomic data: Ensembl/BioMart 2 Genome Sequencing Example: Human genome 2000:

More information

DIRECT IDENTIFICATION OF NEO-EPITOPES IN TUMOR TISSUE

DIRECT IDENTIFICATION OF NEO-EPITOPES IN TUMOR TISSUE DIRECT IDENTIFICATION OF NEO-EPITOPES IN TUMOR TISSUE Eustache Paramithiotis PhD Vice President, Biomarker Discovery & Diagnostics 17 March 2016 PEPTIDE PRESENTATION BY MHC MHC I Antigen presentation by

More information

A Practical Guide to Integrative Genomics by RNA-seq and ChIP-seq Analysis

A Practical Guide to Integrative Genomics by RNA-seq and ChIP-seq Analysis A Practical Guide to Integrative Genomics by RNA-seq and ChIP-seq Analysis Jian Xu, Ph.D. Children s Research Institute, UTSW Introduction Outline Overview of genomic and next-gen sequencing technologies

More information

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

Nature Structural & Molecular Biology: doi: /nsmb Supplementary Figure 1 Supplementary Figure 1 Frequency of alternative-cassette-exon engagement with the ribosome is consistent across data from multiple human cell types and from mouse stem cells. Box plots showing AS frequency

More information

APPLICATION NOTE. Highly reproducible and Comprehensive Proteome Profiling of Formalin-Fixed Paraffin-Embedded (FFPE) Tissues Slices

APPLICATION NOTE. Highly reproducible and Comprehensive Proteome Profiling of Formalin-Fixed Paraffin-Embedded (FFPE) Tissues Slices APPLICATION NOTE Highly reproducible and Comprehensive Proteome Profiling of Formalin-Fixed Paraffin-Embedded (FFPE) Tissues Slices INTRODUCTION Preservation of tissue biopsies is a critical step to This

More information

An Analysis of MDM4 Alternative Splicing and Effects Across Cancer Cell Lines

An Analysis of MDM4 Alternative Splicing and Effects Across Cancer Cell Lines An Analysis of MDM4 Alternative Splicing and Effects Across Cancer Cell Lines Kevin Hu Mentor: Dr. Mahmoud Ghandi 7th Annual MIT PRIMES Conference May 2021, 2017 Outline Introduction MDM4 Isoforms Methodology

More information

RNA-seq Introduction

RNA-seq Introduction RNA-seq Introduction DNA is the same in all cells but which RNAs that is present is different in all cells There is a wide variety of different functional RNAs Which RNAs (and sometimes then translated

More information

Cancer Informatics Lecture

Cancer Informatics Lecture Cancer Informatics Lecture Mayo-UIUC Computational Genomics Course June 22, 2018 Krishna Rani Kalari Ph.D. Associate Professor 2017 MFMER 3702274-1 Outline The Cancer Genome Atlas (TCGA) Genomic Data Commons

More information

CS 6824: Tissue-Based Map of the Human Proteome

CS 6824: Tissue-Based Map of the Human Proteome CS 6824: Tissue-Based Map of the Human Proteome T. M. Murali November 17, 2016 Human Protein Atlas Measure protein and gene expression using tissue microarrays and deep sequencing, respectively. Alternative

More information

SSM signature genes are highly expressed in residual scar tissues after preoperative radiotherapy of rectal cancer.

SSM signature genes are highly expressed in residual scar tissues after preoperative radiotherapy of rectal cancer. Supplementary Figure 1 SSM signature genes are highly expressed in residual scar tissues after preoperative radiotherapy of rectal cancer. Scatter plots comparing expression profiles of matched pretreatment

More information

TITLE: Total RNA Sequencing Analysis of DCIS Progressing to Invasive Breast Cancer.

TITLE: Total RNA Sequencing Analysis of DCIS Progressing to Invasive Breast Cancer. AWARD NUMBER: W81XWH-14-1-0080 TITLE: Total RNA Sequencing Analysis of DCIS Progressing to Invasive Breast Cancer. PRINCIPAL INVESTIGATOR: Christopher B. Umbricht, MD, PhD CONTRACTING ORGANIZATION: Johns

More information

Simple, rapid, and reliable RNA sequencing

Simple, rapid, and reliable RNA sequencing Simple, rapid, and reliable RNA sequencing RNA sequencing applications RNA sequencing provides fundamental insights into how genomes are organized and regulated, giving us valuable information about the

More information

National Surgical Adjuvant Breast and Bowel Project (NSABP) Foundation Annual Progress Report: 2009 Formula Grant

National Surgical Adjuvant Breast and Bowel Project (NSABP) Foundation Annual Progress Report: 2009 Formula Grant National Surgical Adjuvant Breast and Bowel Project (NSABP) Foundation Annual Progress Report: 2009 Formula Grant Reporting Period July 1, 2011 June 30, 2012 Formula Grant Overview The National Surgical

More information

On the Reproducibility of TCGA Ovarian Cancer MicroRNA Profiles

On the Reproducibility of TCGA Ovarian Cancer MicroRNA Profiles On the Reproducibility of TCGA Ovarian Cancer MicroRNA Profiles Ying-Wooi Wan 1,2,4, Claire M. Mach 2,3, Genevera I. Allen 1,7,8, Matthew L. Anderson 2,4,5 *, Zhandong Liu 1,5,6,7 * 1 Departments of Pediatrics

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

Identification of differentially expressed splice variants

Identification of differentially expressed splice variants MCP Papers in Press. Published on July 26, 2017 as Manuscript TIR117.000056 Identification of differentially expressed splice variants by the proteogenomic pipeline Splicify Malgorzata A Komor 1, 2, Thang

More information

Translational Bioinformatics: Connecting Genes with Drugs

Translational Bioinformatics: Connecting Genes with Drugs Translational Bioinformatics: Connecting Genes with Drugs Aik Choon Tan, Ph.D. Associate Professor of Bioinformatics Division of Medical Oncology Department of Medicine aikchoon.tan@ucdenver.edu 11/14/2017

More information

Introduction. Introduction

Introduction. Introduction Introduction We are leveraging genome sequencing data from The Cancer Genome Atlas (TCGA) to more accurately define mutated and stable genes and dysregulated metabolic pathways in solid tumors. These efforts

More information

Figure S6. A-J) Annotated UVPD mass spectra for top ten peptides found among the peptides identified by Byonic but not SEQUEST + Percolator.

Figure S6. A-J) Annotated UVPD mass spectra for top ten peptides found among the peptides identified by Byonic but not SEQUEST + Percolator. Extending Proteome Coverage by Combining MS/MS Methods and a Modified Bioinformatics Platform adapted for Database Searching of Positive and Negative Polarity 193 nm Ultraviolet Photodissociation Mass

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

HALLA KABAT * Outreach Program, mircore, 2929 Plymouth Rd. Ann Arbor, MI 48105, USA LEO TUNKLE *

HALLA KABAT * Outreach Program, mircore, 2929 Plymouth Rd. Ann Arbor, MI 48105, USA   LEO TUNKLE * CERNA SEARCH METHOD IDENTIFIED A MET-ACTIVATED SUBGROUP AMONG EGFR DNA AMPLIFIED LUNG ADENOCARCINOMA PATIENTS HALLA KABAT * Outreach Program, mircore, 2929 Plymouth Rd. Ann Arbor, MI 48105, USA Email:

More information

SELYMATRA: Web Application for the analysis. of mass spectra

SELYMATRA: Web Application for the analysis. of mass spectra SELYMATRA: Web Application for the analysis of mass spectra arxiv:1710.05914v1 [q-bio.qm] 15 Oct 2017 Davide Nardone, Angelo Ciaramella, Mariangela Cerreta, Salvatore Pulcrano, Gian Carlo Bellenchi, Giuseppe

More information

Analyse de données de séquençage haut débit

Analyse de données de séquençage haut débit Analyse de données de séquençage haut débit Vincent Lacroix Laboratoire de Biométrie et Biologie Évolutive INRIA ERABLE 9ème journée ITS 21 & 22 novembre 2017 Lyon https://its.aviesan.fr Sequencing is

More information

Transcriptome Analysis

Transcriptome Analysis Transcriptome Analysis Data Preprocessing Sample Preparation Illumina Sequencing Demultiplexing Raw FastQ Reference Genome (fasta) Reference Annotation (GTF) Reference Genome Analysis Tophat Accepted hits

More information

38 Int'l Conf. Bioinformatics and Computational Biology BIOCOMP'16

38 Int'l Conf. Bioinformatics and Computational Biology BIOCOMP'16 38 Int'l Conf. Bioinformatics and Computational Biology BIOCOMP'16 PGAR: ASD Candidate Gene Prioritization System Using Expression Patterns Steven Cogill and Liangjiang Wang Department of Genetics and

More information

AVENIO ctdna Analysis Kits The complete NGS liquid biopsy solution EMPOWER YOUR LAB

AVENIO ctdna Analysis Kits The complete NGS liquid biopsy solution EMPOWER YOUR LAB Analysis Kits The complete NGS liquid biopsy solution EMPOWER YOUR LAB Analysis Kits Next-generation performance in liquid biopsies 2 Accelerating clinical research From liquid biopsy to next-generation

More information

Epigenetics. Jenny van Dongen Vrije Universiteit (VU) Amsterdam Boulder, Friday march 10, 2017

Epigenetics. Jenny van Dongen Vrije Universiteit (VU) Amsterdam Boulder, Friday march 10, 2017 Epigenetics Jenny van Dongen Vrije Universiteit (VU) Amsterdam j.van.dongen@vu.nl Boulder, Friday march 10, 2017 Epigenetics Epigenetics= The study of molecular mechanisms that influence the activity of

More information

ncounter Assay Automated Process Immobilize and align reporter for image collecting and barcode counting ncounter Prep Station

ncounter Assay Automated Process Immobilize and align reporter for image collecting and barcode counting ncounter Prep Station ncounter Assay ncounter Prep Station Automated Process Hybridize Reporter to RNA Remove excess reporters Bind reporter to surface Immobilize and align reporter Image surface Count codes Immobilize and

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

ACE ImmunoID. ACE ImmunoID. Precision immunogenomics. Precision Genomics for Immuno-Oncology

ACE ImmunoID. ACE ImmunoID. Precision immunogenomics. Precision Genomics for Immuno-Oncology ACE ImmunoID ACE ImmunoID Precision immunogenomics Precision Genomics for Immuno-Oncology Personalis, Inc. A universal biomarker platform for immuno-oncology Patient response to cancer immunotherapies

More information

REGULATED SPLICING AND THE UNSOLVED MYSTERY OF SPLICEOSOME MUTATIONS IN CANCER

REGULATED SPLICING AND THE UNSOLVED MYSTERY OF SPLICEOSOME MUTATIONS IN CANCER REGULATED SPLICING AND THE UNSOLVED MYSTERY OF SPLICEOSOME MUTATIONS IN CANCER RNA Splicing Lecture 3, Biological Regulatory Mechanisms, H. Madhani Dept. of Biochemistry and Biophysics MAJOR MESSAGES Splice

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

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

Proteogenomic characterization of human colon and rectal cancer

Proteogenomic characterization of human colon and rectal cancer Proteogenomic characterization of human colon and rectal cancer The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation As Published

More information

SUPPLEMENTARY APPENDIX

SUPPLEMENTARY APPENDIX SUPPLEMENTARY APPENDIX 1) Supplemental Figure 1. Histopathologic Characteristics of the Tumors in the Discovery Cohort 2) Supplemental Figure 2. Incorporation of Normal Epidermal Melanocytic Signature

More information

genomics for systems biology / ISB2020 RNA sequencing (RNA-seq)

genomics for systems biology / ISB2020 RNA sequencing (RNA-seq) RNA sequencing (RNA-seq) Module Outline MO 13-Mar-2017 RNA sequencing: Introduction 1 WE 15-Mar-2017 RNA sequencing: Introduction 2 MO 20-Mar-2017 Paper: PMID 25954002: Human genomics. The human transcriptome

More information

DNA Sequence Bioinformatics Analysis with the Galaxy Platform

DNA Sequence Bioinformatics Analysis with the Galaxy Platform DNA Sequence Bioinformatics Analysis with the Galaxy Platform University of São Paulo, Brazil 28 July - 1 August 2014 Dave Clements Johns Hopkins University Robson Francisco de Souza University of São

More information

Hao D. H., Ma W. G., Sheng Y. L., Zhang J. B., Jin Y. F., Yang H. Q., Li Z. G., Wang S. S., GONG Ming*

Hao D. H., Ma W. G., Sheng Y. L., Zhang J. B., Jin Y. F., Yang H. Q., Li Z. G., Wang S. S., GONG Ming* Comparison of transcriptomes and gene expression profiles of two chilling- and drought-tolerant and intolerant Nicotiana tabacum varieties under low temperature and drought stress Hao D. H., Ma W. G.,

More information

Histone Modifications Are Associated with Transcript Isoform Diversity in Normal and Cancer Cells

Histone Modifications Are Associated with Transcript Isoform Diversity in Normal and Cancer Cells Histone Modifications Are Associated with Transcript Isoform Diversity in Normal and Cancer Cells Ondrej Podlaha 1, Subhajyoti De 2,3,4, Mithat Gonen 5, Franziska Michor 1 * 1 Department of Biostatistics

More information

AVENIO family of NGS oncology assays ctdna and Tumor Tissue Analysis Kits

AVENIO family of NGS oncology assays ctdna and Tumor Tissue Analysis Kits AVENIO family of NGS oncology assays ctdna and Tumor Tissue Analysis Kits Accelerating clinical research Next-generation sequencing (NGS) has the ability to interrogate many different genes and detect

More information

Colorectal Cancer in 2017: From Biology to the Clinics. Rodrigo Dienstmann

Colorectal Cancer in 2017: From Biology to the Clinics. Rodrigo Dienstmann Colorectal Cancer in 2017: From Biology to the Clinics Rodrigo Dienstmann MOLECULAR CLASSIFICATION Tumor cell Immune cell Tumor microenvironment Stromal cell MOLECULAR CLASSIFICATION Biomarker Tumor cell

More information

Session 4 Rebecca Poulos

Session 4 Rebecca Poulos The Cancer Genome Atlas (TCGA) & International Cancer Genome Consortium (ICGC) Session 4 Rebecca Poulos Prince of Wales Clinical School Introductory bioinformatics for human genomics workshop, UNSW 20

More information

RNA- seq Introduc1on. Promises and pi7alls

RNA- seq Introduc1on. Promises and pi7alls RNA- seq Introduc1on Promises and pi7alls DNA is the same in all cells but which RNAs that is present is different in all cells There is a wide variety of different func1onal RNAs Which RNAs (and some1mes

More information

Big Image-Omics Data Analytics for Clinical Outcome Prediction

Big Image-Omics Data Analytics for Clinical Outcome Prediction Big Image-Omics Data Analytics for Clinical Outcome Prediction Junzhou Huang, Ph.D. Associate Professor Dept. Computer Science & Engineering University of Texas at Arlington Dept. CSE, UT Arlington Scalable

More information

Quantitative Radiomics System Decoding the Tumor Phenotype. John Quackenbush and Hugo Aerts

Quantitative Radiomics System Decoding the Tumor Phenotype. John Quackenbush and Hugo Aerts Quantitative Radiomics System Decoding the Tumor Phenotype John Quackenbush and Hugo Aerts The Radiomics Hypothesis The tumor s structural phenotype reflects its molecular and clinical properties. This

More information

Introduction to Proteomics 1.0

Introduction to Proteomics 1.0 Introduction to Proteomics 1.0 CMSP Workshop Pratik Jagtap Managing Director, CMSP Objectives Why are we here? For participants: Learn basics of MS-based proteomics Learn what s necessary for success using

More information

ASMS 2015 ThP 459 Glioblastoma Multiforme Subtype Classification: Integrated Analysis of Protein and Gene Expression Data

ASMS 2015 ThP 459 Glioblastoma Multiforme Subtype Classification: Integrated Analysis of Protein and Gene Expression Data ASMS 2015 ThP 459 Glioblastoma Multiforme Subtype Classification: Integrated Analysis of Protein and Gene Expression Data Durairaj Renu 1, Vadiraja Bhat 2, Mona Al-Gizawiy 3, Carolina B. Livi 2, Stephen

More information

Ambient temperature regulated flowering time

Ambient temperature regulated flowering time Ambient temperature regulated flowering time Applications of RNAseq RNA- seq course: The power of RNA-seq June 7 th, 2013; Richard Immink Overview Introduction: Biological research question/hypothesis

More information

RASA: Robust Alternative Splicing Analysis for Human Transcriptome Arrays

RASA: Robust Alternative Splicing Analysis for Human Transcriptome Arrays Supplementary Materials RASA: Robust Alternative Splicing Analysis for Human Transcriptome Arrays Junhee Seok 1*, Weihong Xu 2, Ronald W. Davis 2, Wenzhong Xiao 2,3* 1 School of Electrical Engineering,

More information

SIEVE 2.1 Proteomics Example

SIEVE 2.1 Proteomics Example SIEVE 2.1 Proteomics Example Software Overview What is SIEVE? SIEVE is Thermo Scientific s differential software solution. SIEVE will continue to enhance our current product for label-free differential

More information

Raymond Auerbach PhD Candidate, Yale University Gerstein and Snyder Labs August 30, 2012

Raymond Auerbach PhD Candidate, Yale University Gerstein and Snyder Labs August 30, 2012 Elucidating Transcriptional Regulation at Multiple Scales Using High-Throughput Sequencing, Data Integration, and Computational Methods Raymond Auerbach PhD Candidate, Yale University Gerstein and Snyder

More information

Finding subtle mutations with the Shannon human mrna splicing pipeline

Finding subtle mutations with the Shannon human mrna splicing pipeline Finding subtle mutations with the Shannon human mrna splicing pipeline Presentation at the CLC bio Medical Genomics Workshop American Society of Human Genetics Annual Meeting November 9, 2012 Peter K Rogan

More information

A Versatile Algorithm for Finding Patterns in Large Cancer Cell Line Data Sets

A Versatile Algorithm for Finding Patterns in Large Cancer Cell Line Data Sets A Versatile Algorithm for Finding Patterns in Large Cancer Cell Line Data Sets James Jusuf, Phillips Academy Andover May 21, 2017 MIT PRIMES The Broad Institute of MIT and Harvard Introduction A quest

More information

Micro-RNA web tools. Introduction. UBio Training Courses. mirnas, target prediction, biology. Gonzalo

Micro-RNA web tools. Introduction. UBio Training Courses. mirnas, target prediction, biology. Gonzalo Micro-RNA web tools UBio Training Courses Gonzalo Gómez//ggomez@cnio.es Introduction mirnas, target prediction, biology Experimental data Network Filtering Pathway interpretation mirs-pathways network

More information

Hands-On Ten The BRCA1 Gene and Protein

Hands-On Ten The BRCA1 Gene and Protein Hands-On Ten The BRCA1 Gene and Protein Objective: To review transcription, translation, reading frames, mutations, and reading files from GenBank, and to review some of the bioinformatics tools, such

More information

Visual interpretation in pathology

Visual interpretation in pathology 13 Visual interpretation in pathology Tissue architecture (alteration) evaluation e.g., for grading prostate cancer Immunohistochemistry (IHC) staining scoring e.g., HER2 in breast cancer (companion diagnostic

More information

CHMP Oncology Working Party Workshop on: Histology Independent Indications in Oncology. Non-clinical models: Tumour Models - Proof of Concept

CHMP Oncology Working Party Workshop on: Histology Independent Indications in Oncology. Non-clinical models: Tumour Models - Proof of Concept CHMP Oncology Working Party Workshop on: Histology Independent Indications in Oncology Non-clinical models: Tumour Models - Proof of Concept Edward C. Rosfjord Pfizer Worldwide R. & D. 14 December 2017

More information

Genomics in the Clinical Practice - Today and Tomorrow

Genomics in the Clinical Practice - Today and Tomorrow Genomics in the Clinical Practice - Today and Tomorrow Pier Giuseppe Pelicci, MD-PhD Director of Research, IEO, Milan Professor of Pathology, University of Milan Workshop on Processing of Genomic Information:

More information

National Surgical Adjuvant Breast and Bowel Project (NSABP) Foundation Annual Progress Report: 2009 Formula Grant

National Surgical Adjuvant Breast and Bowel Project (NSABP) Foundation Annual Progress Report: 2009 Formula Grant National Surgical Adjuvant Breast and Bowel Project (NSABP) Foundation Annual Progress Report: 2009 Formula Grant Reporting Period July 1, 2012 June 30, 2013 Formula Grant Overview The National Surgical

More information

ACE ImmunoID Biomarker Discovery Solutions ACE ImmunoID Platform for Tumor Immunogenomics

ACE ImmunoID Biomarker Discovery Solutions ACE ImmunoID Platform for Tumor Immunogenomics ACE ImmunoID Biomarker Discovery Solutions ACE ImmunoID Platform for Tumor Immunogenomics Precision Genomics for Immuno-Oncology Personalis, Inc. ACE ImmunoID When one biomarker doesn t tell the whole

More information

Nature Biotechnology: doi: /nbt Supplementary Figure 1

Nature Biotechnology: doi: /nbt Supplementary Figure 1 Supplementary Figure 1 The timeline of the NGAG method for extraction of N-linked glycans and glycosite-containing peptides. The timeline can be changed based on the number of samples. Supplementary Figure

More information

User Guide. Association analysis. Input

User Guide. Association analysis. Input User Guide TFEA.ChIP is a tool to estimate transcription factor enrichment in a set of differentially expressed genes using data from ChIP-Seq experiments performed in different tissues and conditions.

More information

SimGlycan. A high-throughput glycan and glycopeptide data analysis tool for LC-, MALDI-, ESI- Mass Spectrometry workflows.

SimGlycan. A high-throughput glycan and glycopeptide data analysis tool for LC-, MALDI-, ESI- Mass Spectrometry workflows. PREMIER Biosoft SimGlycan A high-throughput glycan and glycopeptide data analysis tool for LC-, MALDI-, ESI- Mass Spectrometry workflows SimGlycan software processes and interprets the MS/MS and higher

More information

Golden Helix s End-to-End Solution for Clinical Labs

Golden Helix s End-to-End Solution for Clinical Labs Golden Helix s End-to-End Solution for Clinical Labs Steven Hystad - Field Application Scientist Nathan Fortier Senior Software Engineer 20 most promising Biotech Technology Providers Top 10 Analytics

More information

AbSeq on the BD Rhapsody system: Exploration of single-cell gene regulation by simultaneous digital mrna and protein quantification

AbSeq on the BD Rhapsody system: Exploration of single-cell gene regulation by simultaneous digital mrna and protein quantification BD AbSeq on the BD Rhapsody system: Exploration of single-cell gene regulation by simultaneous digital mrna and protein quantification Overview of BD AbSeq antibody-oligonucleotide conjugates. High-throughput

More information

Small RNA-Seq and profiling

Small RNA-Seq and profiling Small RNA-Seq and profiling Y. Hoogstrate 1,2 1 Department of Bioinformatics & Department of Urology ErasmusMC, Rotterdam 2 CTMM Translational Research IT (TraIT) BioSB: 5th RNA-seq data analysis course,

More information

Inference of Isoforms from Short Sequence Reads

Inference of Isoforms from Short Sequence Reads Inference of Isoforms from Short Sequence Reads Tao Jiang Department of Computer Science and Engineering University of California, Riverside Tsinghua University Joint work with Jianxing Feng and Wei Li

More information

Pre-mRNA has introns The splicing complex recognizes semiconserved sequences

Pre-mRNA has introns The splicing complex recognizes semiconserved sequences Adding a 5 cap Lecture 4 mrna splicing and protein synthesis Another day in the life of a gene. Pre-mRNA has introns The splicing complex recognizes semiconserved sequences Introns are removed by a process

More information

microrna analysis Merete Molton Worren Ståle Nygård

microrna analysis Merete Molton Worren Ståle Nygård microrna analysis Merete Molton Worren Ståle Nygård Help personnel: Daniel Vodak Background Dysregulation of mirna expression has been connected to progression and development of atherosclerosis The hypothesis:

More information

Network-assisted data analysis

Network-assisted data analysis Network-assisted data analysis Bing Zhang Department of Biomedical Informatics Vanderbilt University bing.zhang@vanderbilt.edu Protein identification in shotgun proteomics Protein digestion LC-MS/MS Protein

More information

Proteogenomic Testing for Patients With Cancer

Proteogenomic Testing for Patients With Cancer Proteogenomic Testing for Patients With Cancer Policy Number: 2.04.140 Last Review: 9/2018 Origination: 9/2016 Next Review: 9/2019 Policy Blue Cross and Blue Shield of Kansas City (Blue KC) will not provide

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

Small RNAs and how to analyze them using sequencing

Small RNAs and how to analyze them using sequencing Small RNAs and how to analyze them using sequencing RNA-seq Course November 8th 2017 Marc Friedländer ComputaAonal RNA Biology Group SciLifeLab / Stockholm University Special thanks to Jakub Westholm for

More information

Studying Alternative Splicing

Studying Alternative Splicing Studying Alternative Splicing Meelis Kull PhD student in the University of Tartu supervisor: Jaak Vilo CS Theory Days Rõuge 27 Overview Alternative splicing Its biological function Studying splicing Technology

More information

MODULE 4: SPLICING. Removal of introns from messenger RNA by splicing

MODULE 4: SPLICING. Removal of introns from messenger RNA by splicing Last update: 05/10/2017 MODULE 4: SPLICING Lesson Plan: Title MEG LAAKSO Removal of introns from messenger RNA by splicing Objectives Identify splice donor and acceptor sites that are best supported by

More information

David Tamborero, PhD

David Tamborero, PhD David Tamborero, PhD Lopez-Bigas' lab Study of Tumor Genomes Study of Tumor Genomes Study sequencing data of tumors to understand the biological mechanisms shaping the mutational processes observed at

More information

NGS ONCOPANELS: FDA S PERSPECTIVE

NGS ONCOPANELS: FDA S PERSPECTIVE NGS ONCOPANELS: FDA S PERSPECTIVE CBA Workshop: Biomarker and Application in Drug Development August 11, 2018 Rockville, MD You Li, Ph.D. Division of Molecular Genetics and Pathology Food and Drug Administration

More information

Nature Methods: doi: /nmeth.3115

Nature Methods: doi: /nmeth.3115 Supplementary Figure 1 Analysis of DNA methylation in a cancer cohort based on Infinium 450K data. RnBeads was used to rediscover a clinically distinct subgroup of glioblastoma patients characterized by

More information

Detection of copy number variations in PCR-enriched targeted sequencing data

Detection of copy number variations in PCR-enriched targeted sequencing data Detection of copy number variations in PCR-enriched targeted sequencing data German Demidov Parseq Lab, Saint-Petersburg University of Russian Academy of Sciences, current: Center for Genomic Regulation

More information

Session 4 Rebecca Poulos

Session 4 Rebecca Poulos The Cancer Genome Atlas (TCGA) & International Cancer Genome Consortium (ICGC) Session 4 Rebecca Poulos Prince of Wales Clinical School Introductory bioinformatics for human genomics workshop, UNSW 28

More information

Big data vs. the individual liver from a regulatory perspective

Big data vs. the individual liver from a regulatory perspective Big data vs. the individual liver from a regulatory perspective Robert Schuck, Pharm.D., Ph.D. Genomics and Targeted Therapy Office of Clinical Pharmacology Center for Drug Evaluation and Research Food

More information

COST ACTION CA IDENTIFYING BIOMARKERS THROUGH TRANSLATIONAL RESEARCH FOR PREVENTION AND STRATIFICATION OF COLORECTAL CANCER (TRANSCOLOCAN)

COST ACTION CA IDENTIFYING BIOMARKERS THROUGH TRANSLATIONAL RESEARCH FOR PREVENTION AND STRATIFICATION OF COLORECTAL CANCER (TRANSCOLOCAN) COST ACTION CA17118 - IDENTIFYING BIOMARKERS THROUGH TRANSLATIONAL RESEARCH FOR PREVENTION AND STRATIFICATION OF COLORECTAL CANCER (TRANSCOLOCAN) Working group 1 management committee duties - Contribute

More information

Integrative Omics for The Systems Biology of Complex Phenotypes

Integrative Omics for The Systems Biology of Complex Phenotypes Integrative Omics for The Systems Biology of Complex Phenotypes Mehmet Koyutürk Case Western Reserve University (1) Electrical Engineering and Computer Science (2) Center for Proteomics and Bioinformatics

More information

IPA Advanced Training Course

IPA Advanced Training Course IPA Advanced Training Course October 2013 Academia sinica Gene (Kuan Wen Chen) IPA Certified Analyst Agenda I. Data Upload and How to Run a Core Analysis II. Functional Interpretation in IPA Hands-on Exercises

More information

University of Pittsburgh Cancer Institute UPMC CancerCenter. Uma Chandran, MSIS, PhD /21/13

University of Pittsburgh Cancer Institute UPMC CancerCenter. Uma Chandran, MSIS, PhD /21/13 University of Pittsburgh Cancer Institute UPMC CancerCenter Uma Chandran, MSIS, PhD chandran@pitt.edu 412-648-9326 2/21/13 University of Pittsburgh Cancer Institute Founded in 1985 Director Nancy Davidson,

More information

Predictive Assays in Radiation Therapy

Predictive Assays in Radiation Therapy Outline Predictive Assays in Radiation Therapy Radiation Biology Introduction Early predictive assays Recent trends in predictive assays Examples for specific tumors Summary Lecture 4-23-2014 Introduction

More information

Long non-coding RNAs

Long non-coding RNAs Long non-coding RNAs Dominic Rose Bioinformatics Group, University of Freiburg Bled, Feb. 2011 Outline De novo prediction of long non-coding RNAs (lncrnas) Genome-wide RNA gene-finding Intrinsic properties

More information

Case Studies on High Throughput Gene Expression Data Kun Huang, PhD Raghu Machiraju, PhD

Case Studies on High Throughput Gene Expression Data Kun Huang, PhD Raghu Machiraju, PhD Case Studies on High Throughput Gene Expression Data Kun Huang, PhD Raghu Machiraju, PhD Department of Biomedical Informatics Department of Computer Science and Engineering The Ohio State University Review

More information

Blood Based Screening

Blood Based Screening Plenary Session 4 CRC screening: The best modality is... Blood Based Screening Molnár, Béla M.D., PhD 2nd Dept. of Medicine Semmelweis Budapest Hungary There is no controversy: screening saves lives Irrefutable

More information

RNA-Seq profiling of circular RNAs in human colorectal Cancer liver metastasis and the potential biomarkers

RNA-Seq profiling of circular RNAs in human colorectal Cancer liver metastasis and the potential biomarkers Xu et al. Molecular Cancer (2019) 18:8 https://doi.org/10.1186/s12943-018-0932-8 LETTER TO THE EDITOR RNA-Seq profiling of circular RNAs in human colorectal Cancer liver metastasis and the potential biomarkers

More information

RNA SEQUENCING AND DATA ANALYSIS

RNA SEQUENCING AND DATA ANALYSIS RNA SEQUENCING AND DATA ANALYSIS Download slides and package http://odin.mdacc.tmc.edu/~rverhaak/package.zip http://odin.mdacc.tmc.edu/~rverhaak/rna-seqlecture.zip Overview Introduction into the topic

More information

V24 Regular vs. alternative splicing

V24 Regular vs. alternative splicing Regular splicing V24 Regular vs. alternative splicing mechanistic steps recognition of splice sites Alternative splicing different mechanisms how frequent is alternative splicing? Effect of alternative

More information

R2: web-based genomics analysis and visualization platform

R2: web-based genomics analysis and visualization platform R2: web-based genomics analysis and visualization platform Overview Jan Koster Department of Oncogenomics Academic Medical Center (AMC) UvA, the Netherlands jankoster@amc.uva.nl jankoster@amc.uva.nl 1

More information

Colorectal Cancer Screening in Ohio CHCs. Ohio Association of Community Health Centers

Colorectal Cancer Screening in Ohio CHCs. Ohio Association of Community Health Centers Colorectal Cancer Screening in Ohio CHCs Ohio Association of Community Health Centers 2 1/29/2015 Your Speakers Dr. Ted Wymyslo Ashley Ballard Randy Runyon 3 1/29/2015 Facts 3 rd most common cancer in

More information

High-Resolution Expression Map of the Arabidopsis Root Reveals Alternative Splicing and lincrna Regulation

High-Resolution Expression Map of the Arabidopsis Root Reveals Alternative Splicing and lincrna Regulation Resource High-Resolution Expression Map of the Arabidopsis Root Reveals Alternative Splicing and lincrna Regulation Highlights d Cell type expression analyses characterize alt splicing and lincrnas Authors

More information