Literature DB >> 23696377

Synthesis and degradation jointly determine the responsiveness of the cellular proteome.

Björn Schwanhäusser1, Jana Wolf, Matthias Selbach, Dorothea Busse.   

Abstract

It is of fundamental importance to understand how the individual processes of gene expression, transcription, and translation, as well as mRNA and protein stability, act in concert to produce dynamic cellular proteomes. We use the concept of response times to illustrate the relation between degradation processes and responsiveness of the proteome to system changes and to provide supporting experimental evidence: proteins with short response times tend to be more strongly up-regulated after 1 hour of TNFα stimulation than proteins with longer response times. Furthermore, based on process-dependent response times, we demonstrate that synthesis and degradation act in concert to enable rapid responses. Finally, by building on a previously published data set quantifying the mammalian gene expression cascade, we speculate on how combinations of stable and unstable mRNAs and proteins may be wired to transcriptional or translational regulation to support gene function.
© 2013 WILEY Periodicals, Inc.

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Year:  2013        PMID: 23696377     DOI: 10.1002/bies.201300017

Source DB:  PubMed          Journal:  Bioessays        ISSN: 0265-9247            Impact factor:   4.345


  13 in total

1.  One third of dynamic protein expression profiles can be predicted by a simple rate equation.

Authors:  Konstantine Tchourine; Christopher S Poultney; Li Wang; Gustavo M Silva; Sandhya Manohar; Christian L Mueller; Richard Bonneau; Christine Vogel
Journal:  Mol Biosyst       Date:  2014-11

2.  Salinity-induced regulation of the myo-inositol biosynthesis pathway in tilapia gill epithelium.

Authors:  Romina Sacchi; Johnathon Li; Fernando Villarreal; Alison M Gardell; Dietmar Kültz
Journal:  J Exp Biol       Date:  2013-09-26       Impact factor: 3.312

3.  Activity-Dependent Degradation of the Nascentome by the Neuronal Membrane Proteasome.

Authors:  Kapil V Ramachandran; Jack M Fu; Thomas B Schaffer; Chan Hyun Na; Michael Delannoy; Seth S Margolis
Journal:  Mol Cell       Date:  2018-07-05       Impact factor: 17.970

4.  Dynamic impacts of the inhibition of the molecular chaperone Hsp90 on the T-cell proteome have implications for anti-cancer therapy.

Authors:  Ivo Fierro-Monti; Pablo Echeverria; Julien Racle; Celine Hernandez; Didier Picard; Manfredo Quadroni
Journal:  PLoS One       Date:  2013-11-27       Impact factor: 3.240

5.  Stochastic fluctuations and distributed control of gene expression impact cellular memory.

Authors:  Guillaume Corre; Daniel Stockholm; Ophélie Arnaud; Gaël Kaneko; José Viñuelas; Yoshiaki Yamagata; Thi My Anh Neildez-Nguyen; Jean-Jacques Kupiec; Guillaume Beslon; Olivier Gandrillon; András Paldi
Journal:  PLoS One       Date:  2014-12-22       Impact factor: 3.240

6.  Integrated time-lapse and single-cell transcription studies highlight the variable and dynamic nature of human hematopoietic cell fate commitment.

Authors:  Alice Moussy; Jérémie Cosette; Romuald Parmentier; Cindy da Silva; Guillaume Corre; Angélique Richard; Olivier Gandrillon; Daniel Stockholm; András Páldi
Journal:  PLoS Biol       Date:  2017-07-27       Impact factor: 8.029

7.  A multiregional proteomic survey of the postnatal human brain.

Authors:  Becky C Carlyle; Robert R Kitchen; Jean E Kanyo; Edward Z Voss; Mihovil Pletikos; André M M Sousa; TuKiet T Lam; Mark B Gerstein; Nenad Sestan; Angus C Nairn
Journal:  Nat Neurosci       Date:  2017-11-13       Impact factor: 24.884

8.  Gene expression profiling of acute myeloid leukemia samples from adult patients with AML-M1 and -M2 through boutique microarrays, real-time PCR and droplet digital PCR.

Authors:  Luiza Handschuh; Maciej Kaźmierczak; Marek C Milewski; Michał Góralski; Magdalena Łuczak; Marzena Wojtaszewska; Barbara Uszczyńska-Ratajczak; Krzysztof Lewandowski; Mieczysław Komarnicki; Marek Figlerowicz
Journal:  Int J Oncol       Date:  2017-12-28       Impact factor: 5.650

9.  Single-Cell Tracking of A549 Lung Cancer Cells Exposed to a Marine Toxin Reveals Correlations in Pedigree Tree Profiles.

Authors:  Mónica Suárez Korsnes; Reinert Korsnes
Journal:  Front Oncol       Date:  2018-07-04       Impact factor: 6.244

10.  Condition-Specific Modeling of Biophysical Parameters Advances Inference of Regulatory Networks.

Authors:  Konstantine Tchourine; Christine Vogel; Richard Bonneau
Journal:  Cell Rep       Date:  2018-04-10       Impact factor: 9.423

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