MassIVE MSV000081206

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Analysis of protein complexes in Arabidopsis leaves using size exclusion chromatography and label-free protein correlation profiling

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Description

Protein complexes are fundamentally important for diverse cellular functions, and create functionalities that could never be achieved by a single polypeptide. Knowledge of the protein complex assemblies that exist in plant cells are limited. To close this gap, we applied an integrative proteomic approach that combines cell fractionation, protein chromatography and quantitative mass spectrometry (MS) to analyze the oligomerization state of thousands of proteins in a single experiment. Soluble extracts from intact Arabidopsis leaves were fractionated using size exclusion chromatography (SEC), and abundance profiles across the column fractions were quantified using label-free precursor ion (MS1) intensity. In duplicate experiments, we reproducibly detected 1693 proteins, of which 983 proteins were cytosolic. Based on the SEC profiles, approximately one third of all of the soluble proteins were predicted to be oligomeric. Our dataset includes both subunits of previously known complexes as well as hundreds of new protein complexes. The label-free MS1-based quantification method described here produced a highly useful dataset for the plant biology community, and provided a foundation to incorporate orthogonal protein complex separation methods so the composition and dynamics of protein complexes can be analyzed based on LC/MS profile data alone. [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Proteomics, protein complexes, size exclusion chromatography, mass spectrometry, label free quantitation

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Principal Investigators:
(in alphabetical order) 		Dan Szymanski, Purdue Universiuty, USA
Submitting User: umaaryal
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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
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