Dynamic profiling of the protein life cycle in response to pathogens
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 expressio...
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Format: | Article |
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American Association for the Advancement of Science (AAAS)
2016
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Online Access: | http://hdl.handle.net/1721.1/105732 https://orcid.org/0000-0001-8567-2049 |
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author | Jovanovic, M. Mertins, P. Przybylski, D. Chevrier, N. Satija, R. Rodriguez, E. H. Fields, A. P. Schwartz, S. Raychowdhury, R. Mumbach, M. R. Eisenhaure, T. Rabani, M. Gennert, D. Lu, D. Delorey, T. Weissman, J. S. Carr, S. A. Hacohen, N. Regev, Aviv Rooney, Michael Steven |
author2 | Harvard University--MIT Division of Health Sciences and Technology |
author_facet | Harvard University--MIT Division of Health Sciences and Technology Jovanovic, M. Mertins, P. Przybylski, D. Chevrier, N. Satija, R. Rodriguez, E. H. Fields, A. P. Schwartz, S. Raychowdhury, R. Mumbach, M. R. Eisenhaure, T. Rabani, M. Gennert, D. Lu, D. Delorey, T. Weissman, J. S. Carr, S. A. Hacohen, N. Regev, Aviv Rooney, Michael Steven |
author_sort | Jovanovic, M. |
collection | MIT |
description | 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. |
first_indexed | 2024-09-23T12:04:30Z |
format | Article |
id | mit-1721.1/105732 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T12:04:30Z |
publishDate | 2016 |
publisher | American Association for the Advancement of Science (AAAS) |
record_format | dspace |
spelling | mit-1721.1/1057322022-09-27T23:59:02Z Dynamic profiling of the protein life cycle in response to pathogens Jovanovic, M. Mertins, P. Przybylski, D. Chevrier, N. Satija, R. Rodriguez, E. H. Fields, A. P. Schwartz, S. Raychowdhury, R. Mumbach, M. R. Eisenhaure, T. Rabani, M. Gennert, D. Lu, D. Delorey, T. Weissman, J. S. Carr, S. A. Hacohen, N. Regev, Aviv Rooney, Michael Steven Harvard University--MIT Division of Health Sciences and Technology Massachusetts Institute of Technology. Department of Biology Regev, Aviv Rooney, Michael Steven 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. National Human Genome Research Institute (U.S.) (Center for Excellence in Genomics Science P50 HG006193) Broad Institute of MIT and Harvard National Institutes of Health (U.S.) (Pioneer Award) Howard Hughes Medical Institute National Institutes of Health (U.S.) (Training Program in Bioinformatics and Integrative Genomics Training Grant) 2016-12-06T21:08:55Z 2016-12-06T21:08:55Z 2015-03 2014-07 Article http://purl.org/eprint/type/JournalArticle 0036-8075 1095-9203 http://hdl.handle.net/1721.1/105732 Jovanovic, M. et al. “Dynamic Profiling of the Protein Life Cycle in Response to Pathogens.” Science 347.6226 (2015): 1259038–1259038. https://orcid.org/0000-0001-8567-2049 en_US http://dx.doi.org/10.1126/science.1259038 Science Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf American Association for the Advancement of Science (AAAS) PMC |
spellingShingle | Jovanovic, M. Mertins, P. Przybylski, D. Chevrier, N. Satija, R. Rodriguez, E. H. Fields, A. P. Schwartz, S. Raychowdhury, R. Mumbach, M. R. Eisenhaure, T. Rabani, M. Gennert, D. Lu, D. Delorey, T. Weissman, J. S. Carr, S. A. Hacohen, N. Regev, Aviv Rooney, Michael Steven Dynamic profiling of the protein life cycle in response to pathogens |
title | Dynamic profiling of the protein life cycle in response to pathogens |
title_full | Dynamic profiling of the protein life cycle in response to pathogens |
title_fullStr | Dynamic profiling of the protein life cycle in response to pathogens |
title_full_unstemmed | Dynamic profiling of the protein life cycle in response to pathogens |
title_short | Dynamic profiling of the protein life cycle in response to pathogens |
title_sort | dynamic profiling of the protein life cycle in response to pathogens |
url | http://hdl.handle.net/1721.1/105732 https://orcid.org/0000-0001-8567-2049 |
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