Unification of Protein Abundance Datasets Yields a Quantitative Saccharomyces cerevisiae Proteome

Cell Systems

Volumn 6, Issue 2, 2018, Pages 192-205.e3

  Ho, Brandon ^a   Baryshnikova, Anastasia ^b,c   Brown, Grant W ^a  

^a UNIVERSITY OF TORONTO   (Canada)

^b PRINCETON UNIVERSITY   (United States)

^c Calico Life Sciences LLC   (United States)

Author keywords

flow cytometry; fluorescence microscopy; GFP; high throughput; mass spectrometry; protein abundance; proteome; tandem affinity tag; yeast

Indexed keywords

MESSENGER RNA; PROTEIN TAG; PROTEOME; SACCHAROMYCES CEREVISIAE PROTEIN;

ARTICLE; ENVIRONMENTAL STRESS; MEASUREMENT; NONHUMAN; PRIORITY JOURNAL; PROTEIN ANALYSIS; QUANTITATIVE ANALYSIS; RNA TRANSLATION; SACCHAROMYCES CEREVISIAE; GENETIC DATABASE; GENETICS; META ANALYSIS; PROCEDURES; PROTEOMICS; TANDEM MASS SPECTROMETRY;

DATABASES, GENETIC; PROTEOME; PROTEOMICS; SACCHAROMYCES CEREVISIAE; SACCHAROMYCES CEREVISIAE PROTEINS; TANDEM MASS SPECTROMETRY;

EID: 85040611817     PISSN: 24054712     EISSN: 24054720     Source Type: Journal    
DOI: 10.1016/j.cels.2017.12.004     Document Type: Article

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