Literature DB >> 21045205

Rewiring of transcriptional regulatory networks: hierarchy, rather than connectivity, better reflects the importance of regulators.

Nitin Bhardwaj1, Philip M Kim, Mark B Gerstein.   

Abstract

Network connectivity has been related to essentiality: Highly connected proteins (hubs) are more important for cell growth and survival. Although this is intuitively reasonable, another way to assess the role of a regulator is to assign it to a level within a "chain-of-command" hierarchy. Here, we analyzed the effects of network rewiring events on transcriptional regulatory hierarchies in two species. First, we superimposed the phenotypic effects of tampering with specific genes and their regulatory connections directly onto the hierarchies. To study second-order effects, which involved changes in the level of regulators within the hierarchy upon deletions or insertions of other regulators or connections, we reconstructed modified hierarchies. We found that rewiring events that affected upper levels had a more marked effect on cell proliferation rate and survival than did those involving lower levels. Moreover, we showed that the hierarchical level and type of change better reflected the phenotypic effect of rewiring than did the number of changes. We also investigated other features connected to the importance of upper-level regulators: In particular, relative to lower-level regulators, upper-level regulators exhibited a greater range of expression values across species, had fewer functionally redundant copies, and had a shorter half-life. Overall, our analysis shows that broadly constructed hierarchies may better reflect the importance of regulators for cell growth than classifications based on the number of connections (hubbiness).

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Year:  2010        PMID: 21045205     DOI: 10.1126/scisignal.2001014

Source DB:  PubMed          Journal:  Sci Signal        ISSN: 1945-0877            Impact factor:   8.192


  32 in total

1.  Division of labor in honey bees is associated with transcriptional regulatory plasticity in the brain.

Authors:  Adam R Hamilton; Ian M Traniello; Allyson M Ray; Arminius S Caldwell; Samuel A Wickline; Gene E Robinson
Journal:  J Exp Biol       Date:  2019-07-16       Impact factor: 3.312

2.  High-Throughput Identification of Cis-Regulatory Rewiring Events in Yeast.

Authors:  Shrutii Sarda; Sridhar Hannenhalli
Journal:  Mol Biol Evol       Date:  2015-09-23       Impact factor: 16.240

3.  Computational design of genomic transcriptional networks with adaptation to varying environments.

Authors:  Javier Carrera; Santiago F Elena; Alfonso Jaramillo
Journal:  Proc Natl Acad Sci U S A       Date:  2012-08-27       Impact factor: 11.205

4.  Cross-Disciplinary Network Comparison: Matchmaking Between Hairballs.

Authors:  Koon-Kiu Yan; Daifeng Wang; Anurag Sethi; Paul Muir; Robert Kitchen; Chao Cheng; Mark Gerstein
Journal:  Cell Syst       Date:  2016-03-23       Impact factor: 10.304

5.  Architecture of the human regulatory network derived from ENCODE data.

Authors:  Mark B Gerstein; Anshul Kundaje; Manoj Hariharan; Stephen G Landt; Koon-Kiu Yan; Chao Cheng; Xinmeng Jasmine Mu; Ekta Khurana; Joel Rozowsky; Roger Alexander; Renqiang Min; Pedro Alves; Alexej Abyzov; Nick Addleman; Nitin Bhardwaj; Alan P Boyle; Philip Cayting; Alexandra Charos; David Z Chen; Yong Cheng; Declan Clarke; Catharine Eastman; Ghia Euskirchen; Seth Frietze; Yao Fu; Jason Gertz; Fabian Grubert; Arif Harmanci; Preti Jain; Maya Kasowski; Phil Lacroute; Jing Jane Leng; Jin Lian; Hannah Monahan; Henriette O'Geen; Zhengqing Ouyang; E Christopher Partridge; Dorrelyn Patacsil; Florencia Pauli; Debasish Raha; Lucia Ramirez; Timothy E Reddy; Brian Reed; Minyi Shi; Teri Slifer; Jing Wang; Linfeng Wu; Xinqiong Yang; Kevin Y Yip; Gili Zilberman-Schapira; Serafim Batzoglou; Arend Sidow; Peggy J Farnham; Richard M Myers; Sherman M Weissman; Michael Snyder
Journal:  Nature       Date:  2012-09-06       Impact factor: 49.962

6.  The core regulation module of stress-responsive regulatory networks in yeast.

Authors:  Dongsan Kim; Man-Sun Kim; Kwang-Hyun Cho
Journal:  Nucleic Acids Res       Date:  2012-07-10       Impact factor: 16.971

7.  The relationship between the hierarchical position of proteins in the human signal transduction network and their rate of evolution.

Authors:  David Alvarez-Ponce
Journal:  BMC Evol Biol       Date:  2012-09-28       Impact factor: 3.260

8.  HIDEN: Hierarchical decomposition of regulatory networks.

Authors:  Günhan Gülsoy; Nirmalya Bandhyopadhyay; Tamer Kahveci
Journal:  BMC Bioinformatics       Date:  2012-09-28       Impact factor: 3.169

9.  The co-regulation mechanism of transcription factors in the human gene regulatory network.

Authors:  Junil Kim; Minsoo Choi; Jeong-Rae Kim; Hua Jin; V Narry Kim; Kwang-Hyun Cho
Journal:  Nucleic Acids Res       Date:  2012-07-13       Impact factor: 16.971

10.  Functional and topological characterization of transcriptional cooperativity in yeast.

Authors:  Daniel Aguilar; Baldo Oliva
Journal:  BMC Res Notes       Date:  2012-05-10
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