Proteomics

Dataset Information

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Proteome-wide identification of SAPs in an industrial yeast strain


ABSTRACT: Most proteogenomic approaches for mapping single amino acid polymorphisms (SAPs) require construction of a sample-specific database containing protein variants predicted from the next-generation sequencing (NGS) data. We present a new strategy for direct SAP detection without relying on NGS data. Among the 348 putative SAP peptides identified in an industrial yeast strain, 85.6% of SAP sites were validated by genomic sequencing.

INSTRUMENT(S): TripleTOF 5600

ORGANISM(S): Saccharomyces Cerevisiae (baker's Yeast)

TISSUE(S): Cell Culture

SUBMITTER: Guo Yufeng  

LAB HEAD: Wenqing Shui

PROVIDER: PXD003101 | Pride | 2018-04-18

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
20130823_xiongy_fenji_1.wiff Wiff
20130823_xiongy_fenji_1.wiff.scan Wiff
20130823_xiongy_fenji_10.wiff Wiff
20130823_xiongy_fenji_10.wiff.scan Wiff
20130823_xiongy_fenji_11.wiff Wiff
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Publications

An NGS-Independent Strategy for Proteome-Wide Identification of Single Amino Acid Polymorphisms by Mass Spectrometry.

Xiong Yun Y   Guo Yufeng Y   Xiao Weidi W   Cao Qichen Q   Li Shanshan S   Qi Xianni X   Zhang Zhidan Z   Wang Qinhong Q   Shui Wenqing W  

Analytical chemistry 20160208 5


Detection of proteins containing single amino acid polymorphisms (SAPs) encoded by nonsynonymous SNPs (nsSNPs) can aid researchers in studying the functional significance of protein variants. Most proteogenomic approaches for large-scale SAPs mapping require construction of a sample-specific database containing protein variants predicted from the next-generation sequencing (NGS) data. Searching shotgun proteomic data sets against these NGS-derived databases allowed for identification of SAP pept  ...[more]

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