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Signaling Networks Converge on TORC1-SREBP Activity to Promote Endoplasmic Reticulum Homeostasis

Overview of attention for article published in PLOS ONE, July 2014
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Title
Signaling Networks Converge on TORC1-SREBP Activity to Promote Endoplasmic Reticulum Homeostasis
Published in
PLOS ONE, July 2014
DOI 10.1371/journal.pone.0101164
Pubmed ID
Authors

Miguel Sanchez-Alvarez, Fabian Finger, Maria del Mar Arias-Garcia, Vicky Bousgouni, Patricia Pascual-Vargas, Chris Bakal

Abstract

The function and capacity of the endoplasmic reticulum (ER) is determined by multiple processes ranging from the local regulation of peptide translation, translocation, and folding, to global changes in lipid composition. ER homeostasis thus requires complex interactions amongst numerous cellular components. However, describing the networks that maintain ER function during changes in cell behavior and environmental fluctuations has, to date, proven difficult. Here we perform a systems-level analysis of ER homeostasis, and find that although signaling networks that regulate ER function have a largely modular architecture, the TORC1-SREBP signaling axis is a central node that integrates signals emanating from different sub-networks. TORC1-SREBP promotes ER homeostasis by regulating phospholipid biosynthesis and driving changes in ER morphology. In particular, our network model shows TORC1-SREBP serves to integrate signals promoting growth and G1-S progression in order to maintain ER function during cell proliferation.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 2%
Unknown 49 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 26%
Student > Ph. D. Student 12 24%
Student > Master 5 10%
Student > Bachelor 3 6%
Student > Doctoral Student 3 6%
Other 5 10%
Unknown 9 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 44%
Biochemistry, Genetics and Molecular Biology 9 18%
Medicine and Dentistry 4 8%
Engineering 2 4%
Neuroscience 2 4%
Other 1 2%
Unknown 10 20%