4.5 Article

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

期刊

PROTEOMICS
卷 18, 期 17, 页码 -

出版社

WILEY
DOI: 10.1002/pmic.201800123

关键词

acetylation; data-independent acquisition; immunoaffinity enrichment; posttranslational modification; succinylation

资金

  1. National Institute of Diabetes and Digestive and Kidney Diseases [R24 DK085610, R01 DK090242]
  2. U.S Dept. of Energy, Office of Science, Office of Biological and Environmental Research [DE SC0012443]
  3. NIH [1S10 OD016281]
  4. Glenn Foundation for Medical Research
  5. US NIH [T32 AG000266]
  6. U.S. Department of Energy (DOE) [DE-SC0012443] Funding Source: U.S. Department of Energy (DOE)

向作者/读者索取更多资源

Protein posttranslational 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, a streamlined, quantitative label-free proteomic workflowone-pot PTM enrichmentthat 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 is described. Coupled with a label-free, data-independent acquisition (DIA), 2235 acetylated and 2173 succinylated peptides with the one-pot method are identified and quantified and peak areas are shown to be 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 it is shown 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.

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