Proteomics,Multiomics

Dataset Information

0

Dynamic profiling of the protein life cycle in response to pathogens


ABSTRACT: Jovanovic M,Rooney M, Mertins P, Przybylski D, Chevrier N, Satija R, Rodriguez EH, Fields AP, Schwartz S, Raychowdhury R, Mumbach M, Eisenhaure T, Rabani M, Gennert D, Lu D, Delorey T, Weissman JS, Carr SA, Hacohen N, Regev A, submitted 2015. Protein expression is regulated by production and degradation of mRNAs and proteins, but their specific relationships remain unknown. We combine measurements of protein production and degradation and mRNA dynamics to build a quantitative genomic model of the differential regulation of gene expression in LPS stimulated mouse dendritic cells. Changes in mRNA abundance play a dominant role in determining most dynamic fold changes in protein levels. Conversely, the preexisting proteome of proteins performing basic cellular functions is remodeled primarily through changes in protein production or degradation, accounting for over half of the absolute change in protein molecules in the cell. Thus, the proteome is regulated by transcriptional induction of novel cellular functions and remodeling of preexisting functions through the protein life cycle.

OTHER RELATED OMICS DATASETS IN: PRJNA256212GSE59793PRJNA256196PRJNA256211

INSTRUMENT(S): Q Exactive

ORGANISM(S): Mus Musculus (ncbitaxon:10090)

SUBMITTER: Steven A. Carr 

PROVIDER: MSV000078994 | MassIVE | Thu Jan 15 08:19:00 GMT 2015

REPOSITORIES: MassIVE

altmetric image

Publications


Protein expression is regulated by the production and degradation of messenger RNAs (mRNAs) and proteins, but their specific relationships remain unknown. We combine measurements of protein production and degradation and mRNA dynamics so as to build a quantitative genomic model of the differential regulation of gene expression in lipopolysaccharide-stimulated mouse dendritic cells. Changes in mRNA abundance play a dominant role in determining most dynamic fold changes in protein levels. Converse  ...[more]

Similar Datasets

2015-03-06 | GSE59792 | GEO
2015-03-06 | GSE59784 | GEO
2015-03-06 | E-GEOD-59792 | biostudies-arrayexpress
2015-03-06 | E-GEOD-59784 | biostudies-arrayexpress
| PRJNA434215 | ENA
2011-08-30 | E-GEOD-24391 | biostudies-arrayexpress
2014-08-30 | E-GEOD-53405 | biostudies-arrayexpress
2014-08-30 | GSE53405 | GEO
2011-08-31 | GSE24391 | GEO
2017-03-29 | MSV000080771 | MassIVE