MassIVE MSV000081906

Partial Public PXD008640

Simultaneous Quantification of the Acetylome and Succinylome by One-Pot Affinity Enrichment

Description

Protein post-translational modifications (PTMs) are of increasing interest in biomedical research, yet studies rarely examine more than one PTM. One barrier to multi-PTM studies is the time cost for both sample preparation and data acquisition, which scale linearly with the number of modifications. The most prohibitive requirement is often the need for large amounts of sample, which must be increased proportionally with the number of PTM enrichment steps. Here we describe a streamlined, quantitative label-free proteomic workflow – “one-pot” PTM enrichment – which enables comprehensive identification and quantification of peptides containing acetylated and succinylated lysine residues from a single sample containing as little as 1 mg mitochondria protein. Coupled with a label-free, data-independent acquisition (DIA), we identified and quantified 2235 acetylated and 2173 succinylated peptides with the one-pot method and show that peak areas are highly correlated between the one-pot and traditional single-PTM enrichments. The ‘one-pot’ method makes possible detection of multiple PTMs occurring on the same peptide, and we show that it can be used to make unique biological insights into PTM crosstalk. Compared to single-PTM enrichments, the one-pot workflow has equivalent reproducibility and enables direct assessment of PTM crosstalk from biological samples in less time from less tissue. [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: acetylation ; succinylation ; one-pot ; post-translational modifications ; PTM

Contact

Principal Investigators:
(in alphabetical order)
Birgit Schilling, The Buck Institute for Research on Aging, USA
Submitting User: nbasisty
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Identification Results
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Quantification Results
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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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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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