Literature DB >> 24596151

A proteomic chronology of gene expression through the cell cycle in human myeloid leukemia cells.

Tony Ly1, Yasmeen Ahmad, Adam Shlien, Dominique Soroka, Allie Mills, Michael J Emanuele, Michael R Stratton, Angus I Lamond.   

Abstract

Technological advances have enabled the analysis of cellular protein and RNA levels with unprecedented depth and sensitivity, allowing for an unbiased re-evaluation of gene regulation during fundamental biological processes. Here, we have chronicled the dynamics of protein and mRNA expression levels across a minimally perturbed cell cycle in human myeloid leukemia cells using centrifugal elutriation combined with mass spectrometry-based proteomics and RNA-Seq, avoiding artificial synchronization procedures. We identify myeloid-specific gene expression and variations in protein abundance, isoform expression and phosphorylation at different cell cycle stages. We dissect the relationship between protein and mRNA levels for both bulk gene expression and for over ∼6000 genes individually across the cell cycle, revealing complex, gene-specific patterns. This data set, one of the deepest surveys to date of gene expression in human cells, is presented in an online, searchable database, the Encyclopedia of Proteome Dynamics (http://www.peptracker.com/epd/). DOI: http://dx.doi.org/10.7554/eLife.01630.001.

Entities:  

Keywords:  RNA-Seq; cell cycle; mass spectrometry; proteomics; transcriptomics

Mesh:

Substances:

Year:  2014        PMID: 24596151      PMCID: PMC3936288          DOI: 10.7554/eLife.01630

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


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