Laboratory of Computational Proteomics
Proteomics Informatics Spring 2020
Center for Health Informatics and Bioinformatics
High Performance Computing Facility
NYU Langone Medical Center
Proteomics Informatics Spring 2020 (BMSC-GA 4437)

David Fenyö (, Professor (Office hours 5-5:30pm on Mondays: schedule appointment)
Kelly Ruggles (, Assistant Professor
Beatrix Ueberheide (, Assistant Professor

Course overview

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.

Learning objectives

At the conclusion of the course, the student will be able to:

  • Understand experimental design for mass spectrometry based proteomics;
  • Demonstrate detailed understanding of the possibilities and limitations of algorithms that are applied to proteomics data; and
  • Analyze a large proteomics data set using available algorithms.

    Course Assessment

    • Readings and participation (30%): Students are required to attend class, to complete reading assignments and to participate in discussions and engage in healthy exchange of ideas. Each student is required to lead at least one reading from the assigned weekly readings. This discussion lead will be graded.
    • Assignments (30%): Programming assignment will be given at the end of each class, and the solutions to these assignments should be e-mailed to within a week.
    • Final project (40%)
    Missed Exams and Grade Appeals

    Make-up examinations (for final only) will be given under special circumstances. Documentation will be required to verify a student's claim. If a make-up exam is permitted, a different exam will be written for that student and may have a different format than the regular examination.

    The assignments must be turned in on time and no late assignments will be accepted.

    If there is a time that you believe that there is a mistake in grading of an assignment/exam, you will have a chance to appeal your exam grade within a week after you receive your grade. If you think this is the case, you must write a note describing the error, attach it to the original exam, and give it to me within a week of the return of your exam. I will review your argument and my initial grading, and then return your exam with a decision to you in a timely manner.

    General Policies

    • Late/missed work: You must adhere to the due dates for all required submissions. If you miss a deadline, then you will not get credit for that assignment/post. Try to avoid last minute submissions.
    • Incompletes: No "Incompletes" will be assigned for this course unless we are at the very end of the course and you have an emergency.
    • Responding to Messages: I will check e-mails daily during the week, and I will respond to course related questions within 48 hours.
    • Announcements: I will make announcements throughout the semester by e-mail. Make sure that your email address is updated; otherwise you may miss important emails from me.
    • Safeguards: Always back up your work on a safe place (electronic file with a backup is recommended) and make a hard copy. Do not wait for the last minute to do your work. Allow time for deadlines.
    • Plagiarism: Plagiarism, the presentation of someone else's words or ideas as your own, is a serious offense and will not be tolerated in this class. The first time you plagiarize someone else's work, you will receive a zero for that assignment. The second time you plagiarize, you will fail the course with a notation of academic dishonesty on your official record.

    Lecture 1 Introduction: Proteomics (February 3, 2020 435 E 30th Street, 9th Floor, Room 920 5:30-7:30pm)
    Lecturer: Fenyo ( Slides )

    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.

    Lecture 2 Introduction: Mass spectrometry (February 10, 2020 435 E 30th Street, 9th Floor, Room 909 5:30-7:30pm)
    Lecturer: Fenyo ( Slides )

    Reading List
  • Roman A. Zubarev & Alexander Makarov, Orbitrap Mass Spectrometry, Anal. Chem. 2013, 85, 5288-5296.
  • J.D. Chapman, D.R. Goodlett, C.D. Masselon, Multiplexed and data-independent tandem mass spectrometry for global proteome profiling, Mass Spec Rev 33: 452-470, 2014.
  • Askenazi M, Fenyo D. OpenSlice: Quantitative data sharing from HyperPeaks to global ion chromatograms (GICs). Proteomics 16 (2016) 2495-2501.

    Lecture 3 Protein identification (February 24, 2020 435 E 30th Street, 9th Floor, Room 909 5:30-7:30pm)
    Lecturer: Fenyo ( Slides )

  • D. Fenyo, J. Eriksson, R. Beavis, "Mass spectrometric protein identification using the global proteome machine", Methods Mol Biol 673 (2010) 189-202.
  • 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).

    Additional Reading
  • GPMDB Tutorials

    Lecture 4 Protein quantitation I (March 2, 2020 435 E 30th Street, 9th Floor, Room 909 5:30-7:30pm)
    Lecturer: Fenyo( Slides )

    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).

    Lecture 5 Interpretation of mass spectra & denovo sequencing I (March 30, 2020 435 E 30th Street, 9th Floor, Room 909 3:30-5:30pm)
    Lecturer: Ueberheide

    Lecture 6 Interpretation of mass spectra & denovo sequencing II (April 6, 2020 435 E 30th Street, 9th Floor, Room 909 3:30-5:30pm)
    Lecturer: Ueberheide

    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.

    Lecture 7 Protein characterization: post-translational modifications (April 13, 2020 435 E 30th Street, 9th Floor, Room 909 3:30-5:30pm)
    Lecturer: Ueberheide

    Reading List
  • Protein characterization I: PTMs
  • Trost, M., Bridon, G., Desjardins, M. & Thibault, P. "Subcellular phosphoproteomics", Mass Spectrom. Rev. 29, 962-990 (2010).

    Lecture 8 Proteogenomics (April 20, 2020 435 E 30th Street, 9th Floor, Room 909 5:30-7:30pm)
    Lecturer: Fenyo ( Slides, Video )

    Reading List
  • Proteogenomics
  • Ruggles KV, Tang Z, Wang X, Grover H, Askenazi M, Teubl J, Cao S, McLellan MD, Clauser KR, Tabb DL, Mertins P, Slebos R, Erdmann-Gilmore P, Li S, Gunawardena HP, Xie L, Liu T, Zhou JY, Sun S, Hoadley KA, Perou CM, Chen X, Davies SR, Maher CA, Kinsinger CR, Rodland KD, Zhang H, Zhang Z, Ding L, Townsend RR, Rodriguez H, Chan D, Smith RD, Liebler DC, Carr SA, Payne S, Ellis MJ, Fenyo D, "An analysis of the sensitivity of proteogenomic mapping of somatic mutations and novel splicing events in cancer", Mol Cell Proteomics. 2015

    Lecture 9 Metabolomics (April 27, 2020 435 E 30th Street, 9th Floor, Room 909 5:30-7:30pm)
    Lecturer: Jones ( Video )

    Lecture 10 Protein characterization: protein interactions (May 4, 2020 435 E 30th Street, 9th Floor, Room 909 3:30-5:30pm)
    Lecturer: Ueberheide

    Reading List
  • Protein characterization II: protein interactions
  • Z Hakhverdyan, M Domanski, LE Hough, AA Oroskar, AR Oroskar, S Keegan, DJ Dilworth, KR Molloy, V Sherman, JD Aitchison, D Fenyo, BT Chait, TH Jensen, MP Rout, J LaCava, "Rapid, optimized interactomic screening", Nature Methods 2015
  • A Leitner, R Reischl, T Walzthoeni, F Herzog, S Bohn, F Forster, 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)

    Lecture 11 Role of Mass Spectrometry in Clinical Microbiology (May 11, 2020 435 E 30th Street, 9th Floor, Room 909 6:15 pm - 8 pm)
    Lecturer: Westblade

    Lecture 12 Project Presentations (May 18, 2020 435 E 30th Street, 9th Floor, Room 909 5:30-7:30pm)