Laboratory of Computational Proteomics
Proteomics Informatics Spring 2014
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Center for Health Informatics and Bioinformatics
 
High Performance Computing Facility
NYU Langone Medical Center
NIH
NCI
NIGMS
NIST
Proteomics Informatics Spring 2014 (BMSC-GA 4437)

Course Director: David Fenyö, Associate Professor
Contact information: David@FenyoLab.org

Instructors:
David Fenyö (David@FenyoLab.org)
Himanshu Grover (Himanshu.Grover@nyumc.org) - Python Lab
Kelly Ruggles (Kelly.Ruggles@nyumc.org) - Week 7 Protein quantitation II: Multiple Reaction Monitoring and Week 9 Proteogenomics
Beatrix Ueberheide (Beatrix.Ueberheide@nyumc.org) - Week 5 de novo sequencing


This course will give an introduction of proteomics and mass spectrometry workflows, experimental design, and data analysis with a focus on algorithms for extracting information from experimental data. The following subjects will be covered in: (1) Protein identification (peptide mass fingerprinting, tandem mass spectrometry, database searching, spectrum library searching, de novo sequencing, significance testing); (2) Protein char­acterization (protein coverage, top-down proteomics, post-translational modifications, protein processing and degradation, protein complexes); (3) Protein quantitation (metabolic labeling - SILAC, chemical labeling, label-free quantitation, spectrum counting, stoichiometry, biomarker discovery and verification). Examples will be provided throughout the course on how the different approaches can be applied to investigate biological systems. The class will be structured to include hands-on practical techniques for analyzing relevant proteomics datasets.

Week 1 Overview of proteomics (1/28/2014 at 4 pm in TRB 718) - Lecture Slides: pdf, pptx, Python Slides: pdf, pptx

Reading list

  • M.A. Gillette, S.A. Carr, "Quantitative analysis of peptides and proteins in biomedicine by targeted mass spectrometry", Nature Methods 10 (2013) 28–34.
  • A. Bensimon, A.J.R. Heck R. Aebersold, "Mass Spectrometry–Based Proteomics and Network Biology", Annual Review of Biochemistry 81 (2012) 379-405.


  • Week 2 Overview of mass spectrometry (2/4/2014 at 4 pm in TRB 718) - Lecture Slides: pdf, pptx

    Example data (Slice video)

    Reading list
  • Beavis, R.C. & Chait, B.T. "Matrix-assisted laser desorption ionization mass-spectrometry of proteins" Meth. Enzymol 270, 519-551 (1996).
  • Banks, J.F. & Whitehouse, C.M. "Electrospray ionization mass spectrometry" Meth. Enzymol 270, 486-519 (1996).
  • Chalkley, R. "Instrumentation for LC-MS/MS in proteomics" Methods Mol. Biol 658, 47-60 (2010).


  • Week 3 Analysis of mass spectra: signal processing, peak finding, and isotope clusters (2/11/2014 at 4 pm in TRB 717) - Lecture Slides: pdf, pptx, Python Slides: pdf, pptx

    Reading list
  • Zhang, J., Gonzalez, E., Hestilow, T., Haskins, W. & Huang, Y. "Review of peak detection algorithms in liquid-chromatography-mass spectrometry" Curr. Genomics 10, 388-401 (2009).
  • Yang, C., He, Z. & Yu, W. "Comparison of public peak detection algorithms for MALDI mass spectrometry data analysis" BMC Bioinformatics 10, 4 (2009).


  • Week 4 Protein identification I: searching protein sequence collections and significance testing (2/18/2014 at 4 pm in TRB 718) - Lecture Slides: pdf, pptx, Python Slides: pdf, pptx

    Example code: Ex1.py, computeMz.py

    Example data: E. coli (1, 2, 3), Yeast (1, 2, 3), Human (1, 2, 3)

    Reading list
  • Eriksson, J., Chait, B.T. & Fenyö, D. "A statistical basis for testing the significance of mass spectrometric protein identification results" Anal. Chem 72, 999-1005 (2000).
  • Fenyö, D. & Beavis, R.C. "A method for assessing the statistical significance of mass spectrometry-based protein identifications using general scoring schemes" Anal. Chem 75, 768-774 (2003).
  • Elias, J.E. & Gygi, S.P. "Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry" Nat. Methods 4, 207-214 (2007).


  • Week 5 Protein identification II: de novo sequencing (2/25/2014 at 4 pm in TRB 718) - Lecture Slides: pdf, pptx, Python Slides: pdf, pptx
    Instructor: Beatrix Ueberheide (Beatrix.Ueberheide@nyumc.org)

    Example code: peptideFragmentation.py

    Example data: Cheat sheet, Example 1: CAD Spectrum, Example 1: HCD Spectrum, Example 2: CAD Spectrum, Example 3: ETD Spectrum, Example 4: ETD Spectrum.

    Reading list
  • Seidler J, Zinn N, Boehm ME, Lehmann WD, "De novo sequencing of peptides by MS/MS, Proteomics 10 (2010) 634-49.
  • Standing KG, "Peptide and protein de novo sequencing by mass spectrometry, Curr Opin Struct Biol. 13 (2003) 595-601.


  • Week 6 Protein quantitation I: Overview (3/4/2014 at 4 pm in TRB 718) - Lecture Slides: pdf, pptx, Python Slides: pdf, pptx

    Example code: peptideFragmentation_withFunctions.py

    Reading list
  • Domon, B. & Aebersold, R. "Options and considerations when selecting a quantitative proteomics strategy", Nat. Biotechnol 28, 710-721 (2010).
  • Zhang, G. et al. "Protein quantitation using mass spectrometry" Methods Mol. Biol 673, 211-222 (2010).


  • Week 7 Protein quantitation II: Multiple Reaction Monitoring (3/11/2014 at 4 pm in TRB 718) - Lecture Slides: pdf, pptx, Python Slides: pdf, pptx
    Instructor: Kelly Ruggles (Kelly.Ruggles@nyumc.org)

    Reading list
  • D.R. Mani, S.E. Abbatiello, S.A. Carr, "Statistical characterization of multiple-reaction monitoring mass spectrometry (MRM-MS) assays for quantitative proteomics", BMC Bioinformatics 13 (2012) S9.
  • A. Maiolica, M.A. Jünger, I. Ezkurdi, R. Aebersold, "Targeted proteome investigation via selected reaction monitoring mass spectrometry", Journal of Proteomics 75 (2012) 3495-3513.
  • MacLean, B. et al. "Skyline: an open source document editor for creating and analyzing targeted proteomics experiments", Bioinformatics 26, 966-968 (2010).


  • Week 8 Databases, data repositories and standardization (3/18/2014 at 4 pm in TRB 718) - Lecture Slides: pdf, pptx, Python Slides: pdf, pptx

    Example code: Pandas_GE_tTest.py
    Example data: leukemia.tab

    Reading list
  • Craig R, Cortens JP, Beavis RC, "Open source system for analyzing, validating, and storing protein identification data", J Proteome Res. 3 (2004) 1234-42.
  • D. Fenyö, J. Eriksson, R. Beavis, "Mass spectrometric protein identification using the global proteome machine", Methods Mol Biol 673 (2010) 189-202.
  • CF Taylor, NW Paton, KS Lilley, P-A Binz, RK Julian Jr, AR Jones, W Zhu, R Apweiler, R Aebersold, EW Deutsch, MJ Dunn, AJR Heck, A Leitner, M Macht, M Mann, L Martens, TA Neubert, SD Patterson, P Ping, SL Seymour, P Souda, A Tsugita, J Vandekerckhove, TM Vondriska, JP Whitelegge, MR Wilkins, I Xenarios, JR Yates III, H Hermjakob, "The minimum information about a proteomics experiment (MIAPE)", Nat Biotechnol. 25 (2007) 887-93.


  • Week 9 Proteogenomics (3/25/2014 at 4 pm in TRB 718) - Lecture Slides: pdf, pptx, Python Slides: pdf, pptx, docx
    Instructor: Kelly Ruggles (Kelly.Ruggles@nyumc.org)

    Reading list

    Week 10 Protein characterization I: post-translational modifications (4/1/2014 at 4 pm in TRB 718) - Lecture Slides: pdf, pptx, docx

    Example code: Pandas_GE_standardization_tTest.py
    Example data: leukemia.tab

    Reading list
  • Trost, M., Bridon, G., Desjardins, M. & Thibault, P. "Subcellular phosphoproteomics", Mass Spectrom. Rev. 29, 962-990 (2010).


  • Week 11 Protein characterization II: Protein interactions (4/11/2014 at 3:30 pm in TRB 718) - Lecture Slides: pdf, pptx, Python Slides: pdf, pptx, docx

    Reading list
  • A Leitner, R Reischl, T Walzthoeni, F Herzog, S Bohn, F Förster, and R Aebersold, "Expanding the Chemical Cross-Linking Toolbox by the Use of Multiple Proteases and Enrichment by Size Exclusion Chromatography", Mol Cell Proteomics 11 (2012)


  • Week 12 Molecular Signatures (4/22/2014 at 4 pm in TRB 718) - Lecture Slides: pdf, pptx, Python Slides: pdf, pptx

    Reading list
  • EF Petricoin III, AM Ardekani, BA Hitt, PJ Levine, VA Fusaro, SM Steinberg, GB Mills, C Simone, DA Fishman, EC Kohn, LA Liotta, "Use of proteomic patterns in serum to identify ovarian cancer", Lancet 359 (2002) 572–77
  • DF Ransohoff, "Bias as a threat to the validity of cancer molecular-marker research", Nat Rev Cancer 5 (2005) 142-9.
  • TA Addona, X Shi, H Keshishian, DR Mani, M Burgess, MA Gillette, KR Clauser, D Shen, GD Lewis, LA Farrell, MA Fifer, MS Sabatine, RE Gerszten & SA Carr, "A pipeline that integrates the discovery and verification of plasma protein biomarkers reveals candidate markers for cardiovascular disease", Nature Biotechnology 29 (2011) 635


  • Week 13 Presentations of projects (4/29/2014 at 4 pm in TRB 718)

    Evaluation (This link only works from within NYU Medical Center)