Literature DB >> 20827600

Regulating the regulators: modulators of transcription factor activity.

Logan Everett1, Matthew Hansen, Sridhar Hannenhalli.   

Abstract

Gene transcription is largely regulated by DNA-binding transcription factors (TFs). However, the TF activity itself is modulated via, among other things, post-translational modifications (PTMs) by specific modification enzymes in response to cellular stimuli. TF-PTMs thus serve as "molecular switchboards" that map upstream signaling events to the downstream transcriptional events. An important long-term goal is to obtain a genome-wide map of "regulatory triplets" consisting of a TF, target gene, and a modulator gene that specifically modulates the regulation of the target gene by the TF. A variety of genome-wide data sets can be exploited by computational methods to obtain a rough map of regulatory triplets, which can guide directed experiments. However, a prerequisite to developing such computational tools is a systematic catalog of known instances of regulatory triplets. We first describe PTM-Switchboard, a recent database that stores triplets of genes such that the ability of one gene (the TF) to regulate a target gene is dependent on one or more PTMs catalyzed by a third gene, the modifying enzyme. We also review current computational approaches to infer regulatory triplets from genome-wide data sets and conclude with a discussion of potential future research. PTM-Switchboard is accessible at http://cagr.pcbi.upenn.edu/PTMswitchboard /

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Year:  2010        PMID: 20827600     DOI: 10.1007/978-1-60761-854-6_19

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  11 in total

1.  Transcriptional regulation via TF-modifying enzymes: an integrative model-based analysis.

Authors:  Logan J Everett; Shane T Jensen; Sridhar Hannenhalli
Journal:  Nucleic Acids Res       Date:  2011-04-05       Impact factor: 16.971

2.  Dynamic modification of the ETS transcription factor PEA3 by sumoylation and p300-mediated acetylation.

Authors:  Baoqiang Guo; Niki Panagiotaki; Stacey Warwood; Andrew D Sharrocks
Journal:  Nucleic Acids Res       Date:  2011-05-04       Impact factor: 16.971

3.  Gene network inference and visualization tools for biologists: application to new human transcriptome datasets.

Authors:  Daniel Hurley; Hiromitsu Araki; Yoshinori Tamada; Ben Dunmore; Deborah Sanders; Sally Humphreys; Muna Affara; Seiya Imoto; Kaori Yasuda; Yuki Tomiyasu; Kosuke Tashiro; Christopher Savoie; Vicky Cho; Stephen Smith; Satoru Kuhara; Satoru Miyano; D Stephen Charnock-Jones; Edmund J Crampin; Cristin G Print
Journal:  Nucleic Acids Res       Date:  2011-11-24       Impact factor: 16.971

4.  The Human Blood Metabolome-Transcriptome Interface.

Authors:  Jörg Bartel; Jan Krumsiek; Katharina Schramm; Jerzy Adamski; Christian Gieger; Christian Herder; Maren Carstensen; Annette Peters; Wolfgang Rathmann; Michael Roden; Konstantin Strauch; Karsten Suhre; Gabi Kastenmüller; Holger Prokisch; Fabian J Theis
Journal:  PLoS Genet       Date:  2015-06-18       Impact factor: 5.917

5.  Transcriptomic profiling identifies novel mechanisms of transcriptional regulation of the cytochrome P450 (Cyp)3a11 gene.

Authors:  Guncha Taneja; Suman Maity; Weiwu Jiang; Bhagavatula Moorthy; Cristian Coarfa; Romi Ghose
Journal:  Sci Rep       Date:  2019-04-30       Impact factor: 4.379

6.  Distinct and competitive regulatory patterns of tumor suppressor genes and oncogenes in ovarian cancer.

Authors:  Min Zhao; Jingchun Sun; Zhongming Zhao
Journal:  PLoS One       Date:  2012-08-30       Impact factor: 3.240

7.  Enhancer RNA profiling predicts transcription factor activity.

Authors:  Joseph G Azofeifa; Mary A Allen; Josephina R Hendrix; Timothy Read; Jonathan D Rubin; Robin D Dowell
Journal:  Genome Res       Date:  2018-02-15       Impact factor: 9.043

Review 8.  Molecular Structure, Binding Affinity, and Biological Activity in the Epigenome.

Authors:  Balázs Zoltán Zsidó; Csaba Hetényi
Journal:  Int J Mol Sci       Date:  2020-06-10       Impact factor: 5.923

9.  Monitoring Response of a Few bZip Transcription Factors in Response to Osmotic Stress in Sunflower.

Authors:  Zeinab Esmailzadeh Mianlengeh; Masood Soltani Najafabadi; Abbas Saidi; Hossein Askari
Journal:  Iran J Biotechnol       Date:  2018-05-15       Impact factor: 1.671

Review 10.  Melatonin and Melatonergic Influence on Neuronal Transcription Factors: Implications for the Development of Novel Therapies for Neurodegenerative Disorders.

Authors:  Olakunle J. Onaolapo; Adejoke Y. Onaolapo; Olugbenga A. Olowe; Mojisola O. Udoh; David O. Udoh; Thomas I. Nathaniel
Journal:  Curr Neuropharmacol       Date:  2020       Impact factor: 7.363

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