Thermo Scientific LipidSearch Software for Lipidomics Workflows. Automated Identification and Relative. Quantitation of Lipids by LC/MS

Similar documents
High-Throughput, Cost-Efficient LC-MS/MS Forensic Method for Measuring Buprenorphine and Norbuprenorphine in Urine

Increased Identification Coverage and Throughput for Complex Lipidomes

Bioanalytical Quantitation of Biotherapeutics Using Intact Protein vs. Proteolytic Peptides by LC-HR/AM on a Q Exactive MS

GC-MS/MS Analysis of Benzodiazepines Using Analyte Protectants

Essential Lipidomics Experiments using the LTQ Orbitrap Hybrid Mass Spectrometer

Integrated Targeted Quantitation Method for Insulin and its Therapeutic Analogs

Comparison of Full Scan MS2 and MS3 Linear Ion Trap Approaches for Quantitation of Vitamin D

PIF: Precursor Ion Fingerprinting Searching for a Structurally Diagnostic Fragment Using Combined Targeted and Data Dependent MS n

Evaluation of an LC-MS/MS Research Method for the Analysis of 33 Benzodiazepines and their Metabolites

High-Throughput Quantitative LC-MS/MS Analysis of 6 Opiates and 14 Benzodiazepines in Urine

Dynamic Analysis of HIV-Human Protein-Protein Interactions During Infection

MS/MS as an LC Detector for the Screening of Drugs and Their Metabolites in Race Horse Urine

Supporting information

LC/MS/MS SOLUTIONS FOR LIPIDOMICS. Biomarker and Omics Solutions FOR DISCOVERY AND TARGETED LIPIDOMICS

Nitrogen/Protein Determination in Starch by Flash Combustion using Large Sample Weight as an Alternative to the Kjeldahl Method

New Mass Spectrometry Tools to Transform Metabolomics and Lipidomics

Quantitative Analysis of THC and Main Metabolites in Whole Blood Using Tandem Mass Spectrometry and Automated Online Sample Preparation

Thermo Fisher Scientific, Sunnyvale, CA, USA; 2 Thermo Fisher Scientific, San Jose, CA, USA

Rapid Lipid Profiling of Serum by Reverse Phase UPLC-Tandem Quadrupole MS

FT-Raman Surface Mapping of Remineralized Artificial Dental Caries

Enhancing Sequence Coverage in Proteomics Studies by Using a Combination of Proteolytic Enzymes

Glycerolipid Analysis. LC/MS/MS Analytical Services

Impact of Chromatography on Lipid Profiling of Liver Tissue Extracts

The Investigation of Factors Contributing to Immunosuppressant Drugs Response Variability in LC-MS/MS Analysis

Workflows in SIEVE and LipidSearch

Enhanced LC-MS Sensitivity of Vitamin D Assay by Selection of Appropriate Mobile Phase

Dayana Argoti, Kerry Hassell, Sarah J. Fair, and Joseph Herman Thermo Fisher Scientific, Franklin, MA, USA

The use of mass spectrometry in lipidomics. Outlines

Use of a Tandem Mass Spectrometry Research Method for the Analysis of Amino Acids and Acylcarnitines in Dried Blood Spots

Principles of Shotgun Lipidomics

Mass-Spectrometric Analysis of Lipids (Lipidomics)

A Fully Integrated Workflow for LC-MS/MS Analysis of Labeled and Native N-Linked Glycans Released From Proteins

PTM Discovery Method for Automated Identification and Sequencing of Phosphopeptides Using the Q TRAP LC/MS/MS System

Using Multiple Mass Defect Filters and Higher Energy Collisional Dissociation on an LTQ Orbitrap XL for Fast, Sensitive and Accurate Metabolite ID

Measuring Phytosterols in Health Supplements by LC/MS. Marcus Miller and William Schnute Thermo Fisher Scientific, San Jose, CA, USA

Join the mass movement towards mass spectrometry

Discovery Metabolomics - Quantitative Profiling of the Metabolome using TripleTOF Technology

PosterREPRINT INTRODUCTION. 2-D PAGE of Mouse Liver Samples. 2-D PAGE of E.coli Samples. Digestion / Cleanup. EXPERIMENTAL 1-D PAGE of BSA Samples

Phospholipid characterization by a TQ-MS data based identification scheme

Agilent Solutions for Lipidomics. Greater Insight into

CEU MASS MEDIATOR USER'S MANUAL Version 2.0, 31 st July 2017

Mass Spectrometry based metabolomics

Bio-Rad Laboratories HEMOGLOBIN Testing Bio-Rad A1c. VARIANT II TURBO Link. Fully-Automated HbA 1c Testing

Data Independent MALDI Imaging HDMS E for Visualization and Identification of Lipids Directly from a Single Tissue Section

Bio-Rad Laboratories HEMOGLOBIN Testing Bio-Rad A1c. VARIANT II TURBO Link System. Fully-Automated HbA 1c Testing

LC/MS Method for Comprehensive Analysis of Plasma Lipids

GlycanPac AXR-1 Columns

Determination of Clinically Relevant Compounds using HPLC and Electrochemical Detection with a Boron-Doped Diamond Electrode

THE POWER OF MASS SPECTROMETRY FOR IC ANALYTICAL CHEMISTS. Unleash New Possibilities with Enhanced Detection for IC Applications

Supplemental Information. LipiDex: An Integrated Software Package. for High-Confidence Lipid Identification

A Rapid UHPLC Method for the Analysis of Biogenic Amines and Metabolites in Microdialysis Samples

Impurity Profiling of Carbamazepine by HPLC/UV

SWATH Acquisition Enables the Ultra-Fast and Accurate Determination of Novel Synthetic Opioids

Metabolite identification in metabolomics: Database and interpretation of MSMS spectra

A Definitive Lipidomics Workflow for Human Plasma Utilizing Off-line Enrichment and Class Specific Separation of Phospholipids

Identification & Confirmation of Structurally Related Degradation Products of Simvastatin

Welcome! Mass Spectrometry meets Cheminformatics WCMC Metabolomics Course 2014 Tobias Kind. Course: Search of MS/MS files with the NIST MS Search GUI

Identification and Quantitation of Microcystins by Targeted Full-Scan LC-MS/MS

Analysis of Phospholipids in Natural Samples by Normal Phase HPLC and Corona Charged Aerosol Detection

ApplicationNOTE EXACT MASS MEASUREMENT OF ACTIVE COMPONENTS OF TRADITIONAL HERBAL MEDICINES BY ORTHOGONAL ACCELERATION TIME-OF-FLIGHT.

Comprehensive Lipid Profiling of Human Liver Tissue Extracts of Non-Alcoholic Fatty Liver Disease

PosterReprint OVERVIEW

Carl Fisher, Terri Christison, Hua Yang, Monika Verma, and Linda Lopez Thermo Fisher Scientific, Sunnyvale, CA, USA

Achieve Broad Lipid Quantitation using a High-Throughput Targeted Lipidomics Method

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

Bio-Rad Laboratories. Hemoglobin Testing. VARIANT II Hemoglobin Testing System For HbA 1c

Analysis and Quantitation of Cocaine on Currency Using GC-MS/MS. No. GCMS No. SSI-GCMS-1501

New Frontiers for MS in Metabolipidomics

SPE-LC-MS/MS Method for the Determination of Nicotine, Cotinine, and Trans-3-hydroxycotinine in Urine

LC-MS/MS Method for the Determination of Tenofovir from Plasma

Internal Calibration System of Thermo Scientific Varioskan Flash with Improved Sensitivity, Accuracy and Dynamic Range

New Solvent Grade Targeted for Trace Analysis by UHPLC-MS

Michal Godula Thermo Fisher Scientific. The world leader in serving science

Metabolite identification in metabolomics: Metlin Database and interpretation of MSMS spectra

New Solvent Grade Targeted for Trace Analysis by UHPLC-MS

Automating Mass Spectrometry-Based Quantitative Glycomics using Tandem Mass Tag (TMT) Reagents with SimGlycan

Designer Fentanyls Drugs that kill and how to detect them. Cyclopropylfentanyl

Go beyond. to realities unexplored. Comprehensive workflows, integrated solutions

INTRODUCTION CH 3 CH CH 3 3. C 37 H 48 N 6 O 5 S 2, molecular weight Figure 1. The Xevo QTof MS System.

Automated Lipid Identification Using UPLC/HDMS E in Combination with SimLipid

Comprehensive Two-Dimensional HPLC and Informative Data Processing for Pharmaceuticals and Lipids

A New HILIC/RP Mixed-Mode Column and Its Applications in Surfactant Analysis

Advancing your Forensic Toxicology Analyses; Adopting the Latest in Mass Spectrometry Innovations

Ultimate Core Performance to Maximize Your Investment

Robust and Fast Analysis of Tobacco-Specific Nitrosamines by LC-MS/MS

LC-MS/MS Method for the Determination of 21 Opiates and Opiate Derivatives in Urine

1. Sample Introduction to MS Systems:

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

How to Use TOF and Q-TOF Mass Spectrometers

Quantification with Proteome Discoverer. Bernard Delanghe

Metabolomic and Lipidomic Research in Diabetes and Obesity 08/07/2013

LC-Based Lipidomics Analysis on QTRAP Instruments

Sample Concentration and Analysis of Human Hormones in Drinking Water

Supporting information

NON TARGETED SEARCHING FOR FOOD

Improving Selectivity in Quantitative Analysis Using MS 3 on a Hybrid Quadrupole-Linear Ion Trap Mass Spectrometer

Application of LC/Electrospray Ion Trap Mass Spectrometry for Identification and Quantification of Pesticides in Complex Matrices

CHARACTERIZATION AND DETECTION OF OLIVE OIL ADULTERATIONS USING CHEMOMETRICS

Novel Glycan Column Technology for the LC-MS Analysis of Labeled and Native N-Glycans Released from Proteins and Antibodies

Identification of Ginsenosides Using the SCIEX X500R QTOF System

Transcription:

Thermo Scientific LipidSearch Software for Lipidomics Workflows Automated Identification and Relative of Lipids by LC/MS

The promise of lipidomics Lipidomics is a new field of study crucial for understanding cellular physiology and pathology. The application of lipidomic profiling to disease phenotype analysis is a rapidly growing aspect of translational medical research. Identification of unique lipid biomarkers has the potential to distinguish healthy individuals from individuals at risk for disease, detect diseases earlier, and facilitate development of personalized treatments. Automated identification and relative quantitation with LipidSearch software LipidSearch software, developed jointly by Professor Ryo Taguchi and MKI, (Tokyo, Japan), is a powerful new tool for automatic identification and relative quantification of cellular lipid molecular species from large amounts of mass spectrometric data obtained in nano-infusion or LC-MS experiments. Using the industry-leading, high-resolution, accurate-mass Thermo Scientific rbitrap technology with exclusive LipidSearch software, the most accurate and confident lipid profiles and identifications can be achieved more quickly than ever before. Liquid chromatography combined with mass spectrometry (LC/MS) is a widely adopted technique Compatible with data acquired from Thermo Scientific triple quadrupole, ion trap, and rbitrap mass spectrometers for lipidomics analyses. Relative and absolute quantitation, and identification, of lipids from Largest lipid database containing >1.5 million lipid ions and their predicted fragment ions biological samples requires sophisticated software with an extensive, comprehensive database. Identification algorithms for product ion, precursor ion and neutral loss scans Thermo Scientific LipidSearch software provides accurate identification of lipids and Alignment of lipid data obtained from multiple LC-MS and MSn experiments automatically integrates complex data into a concise report. With its easy-to-use web-based Relative quantitation of identified lipid precursors in either LC-MS or infusion experiments interface, it dramatically reduces data analysis time. The database contains defined structures and includes more than 1.5 million lipid ions and their predicted fragment ions. Fragmentation patterns are calculated and improved by using expert knowledge based on experimental results. Lipid adduct ions and MSn fingerprints are also included. Data are stored in XML files and are easily customized. Easy-to-use web browser interface for automated and reliable identification Fatty acids sn1 CH2 Lipid fragment ions related to lipid headgroup, fatty acids, and backbone C R1 Adduct ion sn2 CH2 sn3 CH2 Lipid backbone 2 C R2 HC - Neutral losses CH3 I P CH2 CH2N+ CH3 C CH3 Lipid headgroup R C2H R HC=C= Product ions [M+HC2-] HC2CH3 H(P4)CH2CH2N+(CH3)3 R1C+, R2C+ R1C2-, R2C2 3

LipidSearch software provides an easy-to-use, automated workflow From peak detection to relative quantitaiton and identification, LipidSearch software provides an easy-to-use, automated workflow. Data Analysis Module Raw datafile reading Smart peak detection Step 3 Lipid Database Defined structures Lipid adduct ions MS2 fingerprints Quan Module ID Module XIC peak integration Retention time alignment Relative QUAN, statistics Group specific ID Comprehensive ID Scoring algorithms Module Alignment and XIC peak integration Retention time alignment Relative quantitation Statistical analysis Prior to quantitation, lipid results from each sample are aligned within a retention time window. Identified lipids are quantified by detecting their precursor ions from full-scan MS and integrating extracted ion chromatograms. Step 1 Data Analysis Module Peak Detection Raw data file reading Smart peak detection The peak detection engine implemented in LipidSearch software can handle different MS experiments and platforms. The combination of unique peak detection algorithms, tailored for each experiment and instrument type, and mass spectral processing functions enables accurate peak detection. LipidSearch software provides two different identification algorithms as well as scoring algorithms: A group-specific algorithm identifies lipids based on the polar head groups or fatty acids using a combination of precursor ion scanning and neutral loss scans from lipids mixtures. The comprehensive ID algorithm is used for product ion scans and can discriminate each lipid by matching the predicted fragmentation pattern stored in the database. A. Bubble plot - retention time vs. m/z of lipid species Accurate peak areas are computed by denoising and smoothing the peak profiles prior to separating any partially overlapped peaks. Comparative analysis is then carried out between the multiple sample and control groups using t-test statistics. The mean peak area result for each group is displayed in a box and whisker plot. B. XIC integration, alignment LipidSearch software also provides a set of scoring algorithms to filter out lower probability results. Alignment results for CoQ7, [M+NH4]+ PG 17:0/17:0 Search Results Step 2 Identification Module Lipid Identification Group-specific ID (targeted) Comprehensive ID (untargeted) Scoring algorithms 4 C. Relative quantitation by lipid class D. Statistical analysis whisker plot 5

Lipid profiling of wild type and knockout yeast strains reveals detailed changes for individual lipid species Wild-type (WT) yeast (S. Cerevisiae) continue to grow after glucose is exhausted from the media (diauxic shift point) whereas knockout (K) yeast have a defect in CoQ production and do not grow after the shift point. Duplicates of WT and K yeast were collected post shift for lipidomics LC-MS analysis using a Thermo Scientific Q Exactive hybrid quadrupole-rbitrap MS both in MS and data-dependent MS2 mode. Step 2 Identification For each MS2 spectrum, search results are summarized, along with a score indicating the fit, for lipid species matching the predicted fragmentation pattern from the database. If a mixture of lipids is found, the most abundant lipid is displayed. The fragment ions used to identify the lipid species are highlighted in red when the match is selected. ID of PE 16:0-18:1, MS2 of m/z 716.5230 [C39H75N8P]- (Peake, D.A.; Wang, J.; Huang, P.; Jochem, A.; Higbee, A.; Pagliarini, D.J., Quantitative yeast lipidomics via LC-MS profiling using the Q Exactive rbitrap mass spectrometer, presented at the LIPID MAPS Annual Meeting 2012, May 7-8, 2012, La Jolla, CA.) 100 Growth Phenotypes of WT and K Yeast Strains 24.03 TG 23.27 12.13 80 WT 23.66 PA, PC, PE, PG, PI Cer, DG 13.75 K Relative Abundance 24.46 FA, Sphinganine 60 1.53 15.33 Lyso-GP MG 40 15.77 CoQ Step 3 19.48 21.60 6.32 20 24.91 Alignment and 21.15 8.39 10.14 Step 1 25.87 0 0 Data Processing 6 17.63 17.54 5.34 5.45 LC-MS raw files containing full scan MS and data-dependent - MS2 data were searched for FA (fatty acids), sphinganine, Lyso-GP (glycerophospholipids), MG (mono-acyl glycerol), GP (PA, PC, PE, PG, PI, PS), Cer (ceramides) and CoQ (co-enzyme) lipid classes using a mass tolerance of 5 ppm for precursor ions and 8 ppm for product ions. The search results from 2 WT and 2 K samples were aligned using a 0.25 min tolerance window and a combined report was generated. A total of 738 lipid isomers with 542 different formulas were identified and correlated between the 4 data files. 22.41 4 8 12 16 Time (min) LC-MS chromatogram of lipids from yeast 20 24 28 Alignment results are summarized for annotated lipid species eluting within the retention time tolerance window. The relative peak areas are reported along with the t-test statistics. The aligned chromatograms for two Lyso - PC 18:1 isomers are shown to the right. The structural assignments are based on the known elution order of lyso-phospholipids on reversed-phase HPLC columns 2-18:1 1-18:1 (Creer, M. H.; Gross, R. W. Lipids 1985, 20, 922 928). LipidSearch status view of search and alignment results 7

Using the industry-leading, high-resolution, accurate-mass Thermo Scientific rbitrap technology with exclusive LipidSearch software, achieve the most accurate and confident lipid profiles and identifications more quickly than ever before. For targeted quantitation, LipidSearch software also supports the Thermo Scientific TSQ triple quadrupole MS systems. For both lipidomics workflows, LipidSearch software automatically integrates complex data into a combined report to dramatically reduce data analysis. Minimum/Recommended PC Requirements S: Microsoft Windows 7 Professional (x64) or Windows 8 (x64); English language CPU: Quad - or multi-core CPU, 2 GHz or higher Memory: 8 GB RAM or higher HDD: 50 GB free space for LipidSearch software; 500 GB hard drive SSD (optional): 50 GB free space for LipidSearch software; 256 GB solid-state drive Untargeted Discovery Thermo Scientific rbitrap Fusion MS Crude Lipid Extract Thermo Scientific Dionex UltiMate 3000 RSLC with Q Exactive MS LipidSearch Software Thermo Scientific TraceFinder Software Targeted Lipid Annotation,, and Statistical Analysis UltiMate 3000 RSLC with Thermo Scientific TSQ Quantiva MS For Research Use nly. Not for use in diagnostic procedures. www.thermoscientific.com 2014 Thermo Fisher Scientific Inc. LipidSearch is a registered trademark of Mitsui Knowledge Industry Co., LTD. Microsoft and Windows are registered trademarks of Microsoft Corp. All rights reserved. IS is a trademark of the International Standards rganization. All other trademarks are the property of Thermo Fisher Scientific and its subsidiaries. Specifications, terms and pricing are subject to change. Not all products are available in all countries. Please consult your local sales representative for details. Africa +43 1 333 50 34 0 Australia +61 3 9757 4300 Austria +43 810 282 206 Belgium +32 53 73 42 41 Canada +1 800 530 8447 China 800 810 5118 (free call domestic) 400 650 5118 BR63951_E 01/14 Denmark +45 70 23 62 60 Europe-ther +43 1 333 50 34 0 Finland +358 9 3291 0200 France +33 1 60 92 48 00 Germany +49 6103 408 1014 India +91 22 6742 9494 Italy +39 02 950 591 Japan +81 45 453 9100 Latin America +1 561 688 8700 Middle East +43 1 333 50 34 0 Netherlands +31 76 579 55 55 New Zealand +64 9 980 6700 Norway +46 8 556 468 00 Russia/CIS +43 1 333 50 34 0 Singapore +65 6289 1190 Spain +34 914 845 965 Sweden +46 8 556 468 00 Switzerland +41 61 716 77 00 UK +44 1442 233555 USA +1 800 532 4752