An informatic framework for decoding protein complexes by top-down mass spectrometry

Owen S. Skinner; Pierre C. Havugimana; Nicole A. Haverland; Luca Fornelli; Bryan P. Early; Joseph B. Greer; Ryan T. Fellers; Kenneth R. Durbin; Luis H.F. Do Vale; Rafael D. Melani; Henrique S. Seckler; Micah T. Nelp; Mikhail E. Belov; Stevan R. Horning; Alexander A. Makarov; Richard D. LeDuc; Vahe Bandarian; Philip D. Compton; Neil L. Kelleher

doi:10.1038/nmeth.3731

An informatic framework for decoding protein complexes by top-down mass spectrometry

Owen S. Skinner
, Pierre C. Havugimana
, Nicole A. Haverland
, Luca Fornelli
, Bryan P. Early
, Joseph B. Greer
, Ryan T. Fellers
, Kenneth R. Durbin
, Luis H.F. Do Vale
, Rafael D. Melani
, Henrique S. Seckler
, Micah T. Nelp
, Mikhail E. Belov
, Stevan R. Horning
, Alexander A. Makarov
, Richard D. LeDuc
, Vahe Bandarian
, Philip D. Compton
, Neil L. Kelleher

Chemistry & Biochemistry - Sci

Research output: Contribution to journal › Article › peer-review

55 Scopus citations

Abstract

Efforts to map the human protein interactome have resulted in information about thousands of multi-protein assemblies housed in public repositories, but the molecular characterization and stoichiometry of their protein subunits remains largely unknown. Here, we report a computational search strategy that supports hierarchical top-down analysis for precise identification and scoring of multi-proteoform complexes by native mass spectrometry.

Original language	English (US)
Pages (from-to)	237-240
Number of pages	4
Journal	Nature Methods
Volume	13
Issue number	3
DOIs	https://doi.org/10.1038/nmeth.3731
State	Published - Feb 25 2016

ASJC Scopus subject areas

Biotechnology
Biochemistry
Molecular Biology
Cell Biology

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10.1038/nmeth.3731

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Skinner, O. S., Havugimana, P. C., Haverland, N. A., Fornelli, L., Early, B. P., Greer, J. B., Fellers, R. T., Durbin, K. R., Do Vale, L. H. F., Melani, R. D., Seckler, H. S., Nelp, M. T., Belov, M. E., Horning, S. R., Makarov, A. A., LeDuc, R. D., Bandarian, V., Compton, P. D., & Kelleher, N. L. (2016). An informatic framework for decoding protein complexes by top-down mass spectrometry. Nature Methods, 13(3), 237-240. https://doi.org/10.1038/nmeth.3731

Skinner, OS, Havugimana, PC, Haverland, NA, Fornelli, L, Early, BP, Greer, JB, Fellers, RT, Durbin, KR, Do Vale, LHF, Melani, RD, Seckler, HS, Nelp, MT, Belov, ME, Horning, SR, Makarov, AA, LeDuc, RD, Bandarian, V, Compton, PD & Kelleher, NL 2016, 'An informatic framework for decoding protein complexes by top-down mass spectrometry', Nature Methods, vol. 13, no. 3, pp. 237-240. https://doi.org/10.1038/nmeth.3731

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abstract = "Efforts to map the human protein interactome have resulted in information about thousands of multi-protein assemblies housed in public repositories, but the molecular characterization and stoichiometry of their protein subunits remains largely unknown. Here, we report a computational search strategy that supports hierarchical top-down analysis for precise identification and scoring of multi-proteoform complexes by native mass spectrometry.",

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An informatic framework for decoding protein complexes by top-down mass spectrometry

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