Thanks to: George Church (Harvard GTL & CEGS Centers) 5-Jan-2006 HPCGG Landsdowne 2 PM Personal Genomics meets Quantitative Proteomics NHGRI Seq Tech 2004:

Slides:



Advertisements
Similar presentations
Genomes and Proteomes genome: complete set of genetic information in organism gene sequence contains recipe for making proteins (genotype) proteome: complete.
Advertisements

Protein Quantitation II: Multiple Reaction Monitoring
Proteomics Examination Yvonne (Bonnie) Eyler Technology Center 1600 Art Unit 1646 (703)
Tucson High School Biotechnology Course Spring 2010.
MN-B-C 2 Analysis of High Dimensional (-omics) Data Kay Hofmann – Protein Evolution Group Week 5: Proteomics.
Gene Expression Chapter 9.
Introduction to Proteomics. First issue of Proteomics- Jan. 1, 2001.
Peptide Identification by Tandem Mass Spectrometry Behshad Behzadi April 2005.
Morten Sommer, MIT/Harvard DOE GtL Center Novozyme 30-Jun-2006 CAD for Synthetic Microbial Biofuels.
Proteomics The proteome is larger than the genome due to alternative splicing and protein modification. As we have said before we need to know All protein-protein.
Thanks to: DARPA BioComp DNA&RNA Polonies: Mitra, Shendure, Zhu Protein MS: Jaffe, Leptos Metabolism/Proliferation models : Segre, Vitkup, Badarinarayana.
Proteomics: A Challenge for Technology and Information Science CBCB Seminar, November 21, 2005 Tim Griffin Dept. Biochemistry, Molecular Biology and Biophysics.
Data analytical issues with high-density oligonucleotide arrays A model for gene expression analysis and data quality assessment.
PROTEOMICS LECTURE. Genomics DNA (Gene) Functional Genomics TranscriptomicsRNA Proteomics PROTEIN Metabolomics METABOLITE Transcription Translation Enzymatic.
Lawrence Hunter, Ph.D. Director, Computational Bioscience Program University of Colorado School of Medicine
HST Advisory Council Thursday 16-Nov :00 to 2:20 PM Personal Genomes & Medicine Thanks to: Broad Inst., DARPA-BioComp, DOE-GTL, EU-MolTools, NGHRI-CEGS,
Proteomics Informatics Workshop Part I: Protein Identification
Previous Lecture: Regression and Correlation
Proteomics Informatics (BMSC-GA 4437) Course Director David Fenyö Contact information
An Introduction to the HIV Problem Space Oakwood University: Faculty Quantitative Institute Aug. 10–12, 2009.
Proteomics Josh Leung Biology 1220 April 13 th, 2010.
Proteomics Informatics (BMSC-GA 4437) Course Director David Fenyö Contact information
Proteomics Informatics Workshop Part III: Protein Quantitation
Gene Set Enrichment and Splicing Detection using Spectral Counting Nathan Edwards Department of Biochemistry and Mol. & Cell. Biology Georgetown University.
Fa 05CSE182 CSE182-L9 Mass Spectrometry Quantitation and other applications.
Proteomics Informatics Workshop Part II: Protein Characterization David Fenyö February 18, 2011 Top-down/bottom-up proteomics Post-translational modifications.
GTL User Facilities Facility II: Whole Proteome Analysis Michelle V. Buchanan.
Paola CASTAGNOLI Maria FOTI Microarrays. Applicazioni nella genomica funzionale e nel genotyping DIPARTIMENTO DI BIOTECNOLOGIE E BIOSCIENZE.
Karl Clauser Proteomics and Biomarker Discovery Taming Errors for Peptides with Post-Translational Modifications Bioinformatics for MS Interest Group ASMS.
Unit 1: The Language of Science  communicate and apply scientific information extracted from various sources (3.B)  evaluate models according to their.
Sequencing of Mammalian Genomes Predicts 30,000 genes
2007 GeneSpring MS GeneSpring for Metabolite BioMarker Analysis using Mass Spectrometry data Agilent Q-TOF VIP Visit Jan 16-17, 2007 Santa Clara, CA Thon.
Pharmaceutical analysis Bioavailability studies Drug metabolism studies, pharmacokinetics Characterization of potential drugs Drug degradation product.
Molecular Biology Primer for CS and engineering students Alan Qi Jan. 10, 2008.
Center for Human Health and the Environment
© 2010 SRI International - Company Confidential and Proprietary Information Quantitative Proteomics: Approaches and Current Capabilities Pathway Tools.
ESI and MALDI LC/MS-MS Approaches for Larger Scale Protein Identification and Quantification: Are They Equivalent? 1P. Juhasz, 1A. Falick,1A. Graber, 1S.
es/by-sa/2.0/. Large Scale Approaches to the Study of Protein Levels and Activity Prof:Rui Alves
ISMB 2005 Detroit, June 27 th 2005 Proteome 1 Michal Linial Institute of Life Sciences The Hebrew University Jerusalem, Israel Computer Science and Engineering.
Finish up array applications Move on to proteomics Protein microarrays.
Common parameters At the beginning one need to set up the parameters.
1 Chemical Analysis by Mass Spectrometry. 2 All chemical substances are combinations of atoms. Atoms of different elements have different masses (H =
Analysis of Complex Proteomic Datasets Using Scaffold Free Scaffold Viewer can be downloaded at:
Lecture 9. Functional Genomics at the Protein Level: Proteomics.
Genome of the week - Enterococcus faecalis E. faecalis - urinary tract infections, bacteremia, endocarditis. Organism sequenced is vancomycin resistant.
Proteomics What is it? How is it done? Are there different kinds? Why would you want to do it (what can it tell you)?
CSE182 CSE182-L11 Protein sequencing and Mass Spectrometry.
Overview of Mass Spectrometry
Integrated Genomic and Proteomic Analyses of a Systematically Perturbed Metabolic Network Science, Vol 292, Issue 5518, , 4 May 2001.
TOX680 Unveiling the Transcriptome using RNA-seq Jinze Liu.
Isotope Labeled Internal Standards in Skyline
Proteomics Informatics (BMSC-GA 4437) Instructor David Fenyö Contact information
Salamanca, March 16th 2010 Participants: Laboratori de Proteomica-HUVH Servicio de Proteómica-CNB-CSIC Participants: Laboratori de Proteomica-HUVH Servicio.
Oct 2011 SDMBT1 Lecture 11 Some quantitation methods with LC-MS a.ICAT b.iTRAQ c.Proteolytic 18 O labelling d.SILAC e.AQUA f.Label Free quantitation.
Proteomics Informatics (BMSC-GA 4437) Course Directors David Fenyö Kelly Ruggles Beatrix Ueberheide Contact information
Protein quantitation I: Overview (Week 5). Fractionation Digestion LC-MS Lysis MS Sample i Protein j Peptide k Proteomic Bioinformatics – Quantitation.
Different microarray applications Rita Holdhus Introduction to microarrays September 2010 microarray.no Aim of lecture: To get some basic knowledge about.
Target Analyses in Parallel Reaction Monitoring Mode (PRM)
What is “Bioinformatics”?
Mass Spectrometry 101 (continued) Hackert - CH 370 / 387D
Agenda Welcome from the Skyline team!
Proteomics Informatics David Fenyő
Schedule for the Afternoon
A perspective on proteomics in cell biology
A, Absolute ion intensities of m/z 322, 922 and 1522 as function of the transfer time. A, Absolute ion intensities of m/z 322, 922 and 1522 as function.
Shotgun Proteomics in Neuroscience
Schematic of AIMS-to-MRM experiment.
Integrative omic approaches for the study of host–pathogen interactions Integrative omic approaches for the study of host–pathogen interactions (A) Proteomic.
Proteomics Informatics David Fenyő
Presentation transcript:

Thanks to: George Church (Harvard GTL & CEGS Centers) 5-Jan-2006 HPCGG Landsdowne 2 PM Personal Genomics meets Quantitative Proteomics NHGRI Seq Tech 2004: Agencourt, 454, Microchip, 2005: Nanofluidics, Network, VisiGen Affymetrix, Helicos, Solexa-Lynx

"Open-source" Personal Genome Project (PGP) Harvard Medical School IRB Human Subjects protocol submitted 16-Sep-2004, approved Aug 31, Gradual plan. Start with "highly-informed" individuals consenting to non-anonymous genomes & extensive phenotypes (medical records, imaging, omics). Cell lines in Coriell NIGMS Repository Diploid genome subsets at $0.1/kb, <3E-7 FP Errors How? Polony bead Sequencing-by-Ligation (SbL)

Analyses of single chromosomes (single cells, RNAs, particles) (1) When we only have one cell as in Preimplantation Genetic Diagnosis (PGD) or environmental samples (2) Candidate chromosome region sequencing (3) Prioritizing or pooling (rare) species based on an initial DNA screen. (4) Multiple chromosomes in a cell or virus (5) RNA splicing (6) Cell-cell interactions (predator-prey, symbionts, commensals, parasites)

CD44 Exon Combinatorics (Zhu & Shendure) Alternatively Spliced Cell Adhesion Molecule Specific variable exons are up-or-down-regulated in various cancers (>2000 papers) v6 & v7 enable direct binding to chondroitin sulfate, heparin… Zhu,J, et al. Science. 301:836-8.

Zhu J, Shendure J, Mitra RD, Church GM. Science 301: Single molecule profiling of alternative pre-mRNA splicing. Eph4 = murine mammary epithelial cell line Eph4bDD = stable transfection of Eph4 with MEK-1 (tumorigenic) CD44 RNA isoforms

Molecular Weight Assessment of Proteins in Total Proteome Profiles Using 1D-PAGE and LC/MS/MS. Proteome Sci. 3:6 (2005) Ahmad R, Nguyen DH, Wingerd MA, Church GM, Steffen MA. Candidates for alternative splicing (AS), endoproteolytic processing (EPP), & post-translational modifications (PTMs) in Lymphoblastoid cells Protein Name Predicted MW Observed MW Difference before & after leader cleavage Cytochrome c oxidase subunit IV isoform NADH dehydrogenase Coproporphyrinogen oxidase MHC II, DQ  NADH (ubiquinone) Fe-S protein Mito short-chain enoyl-coA hydratase Peptidylprolyl isomerase B (cyclophilin)

 -Glc-1P ADP-Glc  -1,4-glucosyl-glucan glycogen Central Carbon Metabol. glgC glgX glgA glgB glgP Zinser et al. unpubl. Light regulated Circadian metabolism

Viral Photosynthetic Proteins Podovirus P-SSP7 46 kb PCHLIPsFdD1 12kb 24kb PCHLIPsFdD1 12kb 24kb ~500bp HLIPsD1D2 6.4kb2.8kb ~500bp Myovirus P-SSM4 181 kb HLIPsD1D2 6.4kb2.8kb Lindell, Sullivan, Chisholm et al HLIPD1 Myovirus P-SSM2 255 kb

Photosynthesis genes in marine viruses yield proteins during host infection. Nature :86-9. Lindell D, Jaffe JD, Johnson ZI, Church GM, Chisholm SW.

Photosynthesis genes in marine viruses yield proteins during host infection. Nature :86-9. Lindell D, Jaffe JD, Johnson ZI, Church GM, Chisholm SW. 15N 13C synthetic standards host phage

Improving MS Peptide Coverage ? Ionization efficiency X Ions outside the mass range of the analyzer ? Chromatographic behavior ? Sample preparation bias X Instrument duty cycle Improve Spectra interpretation over current algorithms –Details of fragmentation patterns –Dipeptide P, DE/KR, V.G intensity effects –B & Y ions unequal & co-dependent –More intense ions in middle of peptides MDQuest: Mike Chou, Dan Schwartz, Steve Gygi, Josh Elias

SEQUEST vs MDQUEST Performance

MapQuant is a program designed to isolate unique organic species and quantify their relative abundances from an LC/MS experiment. Scheme: Data from an LC/MS experiment are analyzed after being formatted into a data structure called a 2-D map, analogous to a gray-scale image. Scan number: N N+1 N+2 N+3 2-D peptide map time or scans m/z units

2-D map Retention time m/z units MapQuant Gives a List of All Organic Species In the Sample MapQuant

MapQuant is a program designed to isolate unique organic species and quantify their relative abundances from an LC/MS experiment. Scheme: Data from an LC/MS experiment are analyzed after being formatted into a data structure called a 2-D map, analogous to a gray-scale image. Scan number: N N+1 N+2 N+3 2-D peptide map time or scans m/z units

2-D map Retention time m/z units MapQuant Gives a List of All Organic Species In the Sample MapQuant

Leptos et al. Proteomics 2006

MapQuant is publicly available at

Leptos et al. Proteomics 2006

retention time (in min) m/z units EKLAVSAR QEPERSEK DAFLSGER ? ? ? MapQuant gives me a list of all organic species in the sample BUT WHAT ARE THEIR IDENTITIES?

MapQuant identifies approx. 2x10 4 organic species per LC/MS experiment. ONLY ~ 500 (3%) organic species have fragmentation (CID) spectra and hence sequence IDs retention time (in min) EKLAVSAR QEPERSEK DAFLSGER ? ? ? m/z units Dealing With Many Peptides (Organic Species) 22 = CID spectrum or MS/MS event

Dealing With Many Peptides (Organic Species) retention time (in min) EKLAVSAR QEPERSEK DAFLSGER ? ? ? Database of peptides from ALL LC/MS experiments carried out on Prochlorococcus samples (rt, m/z) coordinates m/z units

TOTAL NUMBER OF ORFS: Protein Distribution Among Experiments

Sequence Coverage of the Protein groES

Summary Proteome Sci. 3:6 (2005) Ahmad R, Nguyen DH, Wingerd MA, Church GM, Steffen MA. Open Personal Genome Project (PGP) including Proteomics Single molecule RNAs for alternative splicing (AS) Gel –MS methods for endoproteolytic processing MapQuest for MS quantitation without isotopic labeling

Thanks to: George Church (Harvard GTL & CEGS Centers) 5-Jan-2006 HPCGG Landsdowne 2 PM Personal Genomics meets Quantitative Proteomics NHGRI Seq Tech 2004: Agencourt, 454, Microchip, 2005: Nanofluidics, Network, VisiGen Affymetrix, Helicos, Solexa-Lynx