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Dynamic profiling of the protein life cycle in response to pathogens.

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Title: Dynamic profiling of the protein life cycle in response to pathogens.
Authors: Jovanovic, Marko, Rooney, Michael S., Mertins, Philipp, Przybylski, Dariusz, Chevrier, Nicolas, Satija, Rahul, Rodriguez, Edwin H., Fields, Alexander P., Schwartz, Schraga, Raychowdhury, Raktima, Mumbach, Maxwell R., Eisenhaure, Thomas, Rabani, Michal, Gennert, Dave, Lu, Diana, Delorey, Toni, Weissman, Jonathan S., Carr, Steven A., Hacohen, Nir, Regev, Aviv
Source: Science (pre-March 2025). 3/6/2015, Vol. 347 Issue 6226, p1112-038-7. 8p.
Subjects: Pathogenic microorganisms, Protein expression, Messenger RNA, Proteolysis, Gene expression, Lipopolysaccharides, Dendritic cells, Proteomics
Abstract: 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. Conversely, the preexisting proteome of proteins performing basic cellular functions is remodeled primarily through changes in protein production or degradation, accounting for more than half of the absolute change in protein molecules in the cell. Thus, the proteome is regulated by transcriptional induction for newly activated cellular functions and by protein life-cycle changes for remodeling of preexisting functions. [ABSTRACT FROM AUTHOR]
Copyright of Science (pre-March 2025) is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: <searchLink fieldCode="AR" term="%22Jovanovic%2C+Marko%22">Jovanovic, Marko</searchLink><br /><searchLink fieldCode="AR" term="%22Rooney%2C+Michael+S%2E%22">Rooney, Michael S.</searchLink><br /><searchLink fieldCode="AR" term="%22Mertins%2C+Philipp%22">Mertins, Philipp</searchLink><br /><searchLink fieldCode="AR" term="%22Przybylski%2C+Dariusz%22">Przybylski, Dariusz</searchLink><br /><searchLink fieldCode="AR" term="%22Chevrier%2C+Nicolas%22">Chevrier, Nicolas</searchLink><br /><searchLink fieldCode="AR" term="%22Satija%2C+Rahul%22">Satija, Rahul</searchLink><br /><searchLink fieldCode="AR" term="%22Rodriguez%2C+Edwin+H%2E%22">Rodriguez, Edwin H.</searchLink><br /><searchLink fieldCode="AR" term="%22Fields%2C+Alexander+P%2E%22">Fields, Alexander P.</searchLink><br /><searchLink fieldCode="AR" term="%22Schwartz%2C+Schraga%22">Schwartz, Schraga</searchLink><br /><searchLink fieldCode="AR" term="%22Raychowdhury%2C+Raktima%22">Raychowdhury, Raktima</searchLink><br /><searchLink fieldCode="AR" term="%22Mumbach%2C+Maxwell+R%2E%22">Mumbach, Maxwell R.</searchLink><br /><searchLink fieldCode="AR" term="%22Eisenhaure%2C+Thomas%22">Eisenhaure, Thomas</searchLink><br /><searchLink fieldCode="AR" term="%22Rabani%2C+Michal%22">Rabani, Michal</searchLink><br /><searchLink fieldCode="AR" term="%22Gennert%2C+Dave%22">Gennert, Dave</searchLink><br /><searchLink fieldCode="AR" term="%22Lu%2C+Diana%22">Lu, Diana</searchLink><br /><searchLink fieldCode="AR" term="%22Delorey%2C+Toni%22">Delorey, Toni</searchLink><br /><searchLink fieldCode="AR" term="%22Weissman%2C+Jonathan+S%2E%22">Weissman, Jonathan S.</searchLink><br /><searchLink fieldCode="AR" term="%22Carr%2C+Steven+A%2E%22">Carr, Steven A.</searchLink><br /><searchLink fieldCode="AR" term="%22Hacohen%2C+Nir%22">Hacohen, Nir</searchLink><br /><searchLink fieldCode="AR" term="%22Regev%2C+Aviv%22">Regev, Aviv</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Science+%28pre-March+2025%29%22">Science (pre-March 2025)</searchLink>. 3/6/2015, Vol. 347 Issue 6226, p1112-038-7. 8p.
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  Data: <searchLink fieldCode="DE" term="%22Pathogenic+microorganisms%22">Pathogenic microorganisms</searchLink><br /><searchLink fieldCode="DE" term="%22Protein+expression%22">Protein expression</searchLink><br /><searchLink fieldCode="DE" term="%22Messenger+RNA%22">Messenger RNA</searchLink><br /><searchLink fieldCode="DE" term="%22Proteolysis%22">Proteolysis</searchLink><br /><searchLink fieldCode="DE" term="%22Gene+expression%22">Gene expression</searchLink><br /><searchLink fieldCode="DE" term="%22Lipopolysaccharides%22">Lipopolysaccharides</searchLink><br /><searchLink fieldCode="DE" term="%22Dendritic+cells%22">Dendritic cells</searchLink><br /><searchLink fieldCode="DE" term="%22Proteomics%22">Proteomics</searchLink>
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  Data: 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. Conversely, the preexisting proteome of proteins performing basic cellular functions is remodeled primarily through changes in protein production or degradation, accounting for more than half of the absolute change in protein molecules in the cell. Thus, the proteome is regulated by transcriptional induction for newly activated cellular functions and by protein life-cycle changes for remodeling of preexisting functions. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Science (pre-March 2025) is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1126/science.1259038
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        Text: English
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        PageCount: 8
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        Type: general
      – SubjectFull: Protein expression
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      – SubjectFull: Messenger RNA
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      – SubjectFull: Dendritic cells
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      – SubjectFull: Proteomics
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