Exposing the subunit diversity within protein complexes: A mass spectrometry approach

Shelly Rozen, Alessandra Tieri, Gabriela Ridner, Ann Kathrin Stark, Tilo Schmaler, Gili Ben-Nissan, Wolfgang Dubiel, Michal Sharon

Research output: Contribution to journalArticlepeer-review

Abstract

Identifying the list of subunits that make up protein complexes constitutes an important step towards understanding their biological functions. However, such knowledge alone does not reveal the full complexity of protein assemblies, as each subunit can take on multiple forms. Proteins can be post-translationally modified or cleaved, multiple products of alternative splicing can exist, and a single subunit may be encoded by more than one gene. Thus, for a complete description of a protein complex, it is necessary to expose the diversity of its subunits. Adding this layer of information is an important step towards understanding the mechanisms that regulate the activity of protein assemblies. Here, we describe a mass spectrometry-based approach that exposes the array of protein variants that comprise protein complexes. Our method relies on denaturing the protein complex, and separating its constituent subunits on a monolithic column prepared in-house. Following the subunit elution from the column, the flow is split into two fractions, using a Triversa NanoMate robot. One fraction is directed straight into an on-line ESI-QToF mass spectrometer for intact protein mass measurements, while the rest of the flow is fractionated into a 96-well plate for subsequent proteomic analysis. The heterogeneity of subunit composition is then exposed by correlating the subunit sequence identity with the accurate mass. Below, we describe in detail the methodological setting of this approach, its application on the endogenous human COP9 signalosome complex, and the significance of the method for structural mass spectrometry analysis of intact protein complexes.

Original languageEnglish
Pages (from-to)270-277
Number of pages8
JournalMethods
Volume59
Issue number3
DOIs
StatePublished - 1 Mar 2013

All Science Journal Classification (ASJC) codes

  • General Biochemistry,Genetics and Molecular Biology
  • Molecular Biology

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