Dataset Information

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

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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]

PMID: 26810586

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