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A proteomic chronology of gene expression through the cell cycle in human myeloid leukemia cells
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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3936288/ https://www.ncbi.nlm.nih.gov/pubmed/24596151 http://dx.doi.org/10.7554/eLife.01630 |
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author | Ly, Tony Ahmad, Yasmeen Shlien, Adam Soroka, Dominique Mills, Allie Emanuele, Michael J Stratton, Michael R Lamond, Angus I |
author_facet | Ly, Tony Ahmad, Yasmeen Shlien, Adam Soroka, Dominique Mills, Allie Emanuele, Michael J Stratton, Michael R Lamond, Angus I |
author_sort | Ly, Tony |
collection | PubMed |
description | 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 |
format | Online Article Text |
id | pubmed-3936288 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-39362882014-03-05 A proteomic chronology of gene expression through the cell cycle in human myeloid leukemia cells Ly, Tony Ahmad, Yasmeen Shlien, Adam Soroka, Dominique Mills, Allie Emanuele, Michael J Stratton, Michael R Lamond, Angus I eLife Biochemistry 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 eLife Sciences Publications, Ltd 2014-03-04 /pmc/articles/PMC3936288/ /pubmed/24596151 http://dx.doi.org/10.7554/eLife.01630 Text en Copyright © 2014, Ly et al http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Biochemistry Ly, Tony Ahmad, Yasmeen Shlien, Adam Soroka, Dominique Mills, Allie Emanuele, Michael J Stratton, Michael R Lamond, Angus I A proteomic chronology of gene expression through the cell cycle in human myeloid leukemia cells |
title | A proteomic chronology of gene expression through the cell cycle in human myeloid leukemia cells |
title_full | A proteomic chronology of gene expression through the cell cycle in human myeloid leukemia cells |
title_fullStr | A proteomic chronology of gene expression through the cell cycle in human myeloid leukemia cells |
title_full_unstemmed | A proteomic chronology of gene expression through the cell cycle in human myeloid leukemia cells |
title_short | A proteomic chronology of gene expression through the cell cycle in human myeloid leukemia cells |
title_sort | proteomic chronology of gene expression through the cell cycle in human myeloid leukemia cells |
topic | Biochemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3936288/ https://www.ncbi.nlm.nih.gov/pubmed/24596151 http://dx.doi.org/10.7554/eLife.01630 |
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