Proteomics

Dataset Information

0

Quantitative analysis of fission yeast transcriptomes and proteomes in proliferating and quiescent cells


ABSTRACT: Data on absolute molecule numbers will empower the modeling, understanding, and comparison of cellular functions and biological systems. We quantified transcriptomes and proteomes in fission yeast during cellular proliferation and quiescence. This rich resource provides the first comprehensive reference for all RNA and most protein concentrations in a eukaryote under two key physiological conditions. The integrated data set supports quantitative biology and affords unique insights into cell regulation. Although mRNAs are typically expressed in a narrow range above 1 copy/cell, most long, noncoding RNAs, except for a distinct subset, are tightly repressed below 1 copy/cell. Cell-cycle-regulated transcription tunes mRNA numbers to phase-specific requirements but can also bring about more switch-like expression. Proteins greatly exceed mRNAs in abundance and dynamic range, and concentrations are regulated to functional demands. Upon transition to quiescence, the proteome changes substantially, but, in stark contrast to mRNAs, proteins do not uniformly decrease but scale with cell volume. Proteomics data generation and processing: Extracted proteins were enzymatically digested using trypsin, the peptides were separated into 12 fractions using an OFF-GEL Fractionator (Agilent), and analyzed on an Orbitrap Velos LC-MS platform (Thermo Scientific). Peptides were quantified and identified using the Progenesis LC-MS (Nonlinear Dynamics) and Mascot software, respectively. Absolute abundance for 39 proteins was determined using spiked-in heavy reference peptides to translate the summed MS-intensities of all peptides to copies/cell for all identified proteins. The associated microarray and RNA-seq datasets are in ArrayExpress with the following accession numbers: Microarrays: E-TABM-1075, RNA-seq: E-MTAB-1154.

INSTRUMENT(S): LTQ Orbitrap

ORGANISM(S): Schizosaccharomyces Pombe

TISSUE(S): Permanent Cell Line Cell, Cell Culture

SUBMITTER: Alexander Schmidt  

LAB HEAD: Alexander Schmidt

PROVIDER: PXD000276 | Pride | 2013-06-06

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
A10-12023.mzXML Mzxml
A10-12024.mzXML Mzxml
A10-12026.mzXML Mzxml
A10-12027.mzXML Mzxml
A10-12029.mzXML Mzxml
Items per page:
1 - 5 of 37
altmetric image

Publications

Quantitative analysis of fission yeast transcriptomes and proteomes in proliferating and quiescent cells.

Marguerat Samuel S   Schmidt Alexander A   Codlin Sandra S   Chen Wei W   Aebersold Ruedi R   Bähler Jürg J  

Cell 20121001 3


Data on absolute molecule numbers will empower the modeling, understanding, and comparison of cellular functions and biological systems. We quantified transcriptomes and proteomes in fission yeast during cellular proliferation and quiescence. This rich resource provides the first comprehensive reference for all RNA and most protein concentrations in a eukaryote under two key physiological conditions. The integrated data set supports quantitative biology and affords unique insights into cell regu  ...[more]

Similar Datasets

2013-05-28 | E-MTAB-1153 | biostudies-arrayexpress
2012-10-26 | E-MTAB-1154 | biostudies-arrayexpress
2017-03-08 | GSE83734 | GEO
2021-05-14 | PXD024139 | Pride
| PRJNA275011 | ENA
2016-10-06 | PXD003085 | Pride
2008-11-20 | E-TABM-399 | biostudies-arrayexpress
2008-12-20 | E-TABM-398 | biostudies-arrayexpress
2019-09-11 | PXD014292 | Pride
2015-08-18 | PXD000747 | Pride