Dataset Information

Near complete quantitative proteomics for Yeast

ABSTRACT: In this study, we attempted to achieve to date the most comprehensive coverage of the yeast proteome during log-phase growth and in the K11R mutant ubiquitin yeast strain with a combination of (1) extensive gel molecular weight fractionation and use of either of two digestion enzymes to improve coverage by addressing the issue of dynamic range via decreased sample complexity, (2) use of a more sensitive and faster LC-MS/MS platform than available for many of the previous experiments (Orbitrap Velos coupled to a nanoAcquity UPLC). By this approach, we identified with high confidence a new fungal conserved gene expressed in S. cerevisiae and achieved the highest coverage of the yeast proteome (83.5%) to date. Besides that, we also extended our experimental workflow incorporating the same advantages to identify and quantify proteins in a K11R/reference SILAC/control total yeast lysate mixture.

INSTRUMENT(S): LTQ Orbitrap Velos

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

TISSUE(S): Cell Culture, Haploid Cell

SUBMITTER: Zhang Chengpu Zhang Chengpu

LAB HEAD: Ping Xu

PROVIDER: PXD001928 | Pride | 2019-08-26

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	Yeast_XP_SDS_lysc_001.mgf	Mgf
	Yeast_XP_SDS_lysc_001.mzid.gz	Mzid
	Yeast_XP_SDS_lysc_001.pride.mgf.gz	Mgf
	Yeast_XP_SDS_lysc_001.pride.mztab.gz	Mztab
	Yeast_XP_SDS_lysc_001.raw	Raw

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Publications

Mass-Spectrometry-Based Near-Complete Draft of the <i>Saccharomyces cerevisiae</i> Proteome.

Gao Yuan Y Ping Lingyan L Duong Duc D Zhang Chengpu C Dammer Eric B EB Li Yanchang Y Chen Peiru P Chang Lei L Gao Huiying H Wu Junzhu J Xu Ping P

Journal of proteome research 20210114 2

Proteomics approaches designed to catalogue all open reading frames (ORFs) under a defined set of growth conditions of an organism have flourished in recent years. However, no proteome has been sequenced completely so far. Here, we generate the largest yeast proteome data set, including 5610 identified proteins, using a strategy based on optimized sample preparation and high-resolution mass spectrometry. Among the 5610 identified proteins, 94.1% are core proteins, which achieves near-complete co ...[more]

PMID: 33443437

Publication: 1/2

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