Literature DB >> 23124862

From specific to global analysis of posttranscriptional regulation in eukaryotes: posttranscriptional regulatory networks.

Sarath Chandra Janga1.   

Abstract

Regulation of gene expression occurs at several levels in eukaryotic organisms and is a highly controlled process. Although RNAs have been traditionally viewed as passive molecules in the pathway from transcription to translation, there is mounting evidence that their metabolism is controlled by a class of proteins called RNA-binding proteins (RBPs), as well as a number of small RNAs. In this review, I provide an overview of the recent developments in our understanding of the repertoire of RBPs across diverse model systems, and discuss the computational and experimental approaches currently available for the construction of posttranscriptional networks governed by them. I also present an overview of the different roles played by RBPs in the cellular context, based on their cis-regulatory modules identified in the literature and discuss how their interplay can result in the dynamic, spatial and tissue-specific expression maps of RNAs. I finally present the concept of posttranscriptional network of RBPs and their cognate RNA targets and discuss their cross-talk with other important posttranscriptional regulatory molecules such as microRNAs s, resulting in diverse functional network motifs. I argue that with rapid developments in the genome-wide elucidation of posttranscriptional networks it would not only be possible to gain a deeper understanding of regulation at a level that has been under-appreciated in the past, but would also allow us to use the newly developed high-throughput approaches to interrogate the prevalence of these phenomena in different states, and thereby study their relevance to physiology and disease across organisms.

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Year:  2012        PMID: 23124862     DOI: 10.1093/bfgp/els046

Source DB:  PubMed          Journal:  Brief Funct Genomics        ISSN: 2041-2649            Impact factor:   4.241


  11 in total

1.  SliceIt: A genome-wide resource and visualization tool to design CRISPR/Cas9 screens for editing protein-RNA interaction sites in the human genome.

Authors:  Sasank Vemuri; Rajneesh Srivastava; Quoseena Mir; Seyedsasan Hashemikhabir; X Charlie Dong; Sarath Chandra Janga
Journal:  Methods       Date:  2019-09-05       Impact factor: 3.608

Review 2.  Regulators of cardiac fibroblast cell state.

Authors:  Ross Bretherton; Darrian Bugg; Emily Olszewski; Jennifer Davis
Journal:  Matrix Biol       Date:  2020-05-19       Impact factor: 11.583

3.  Dissecting the expression landscape of RNA-binding proteins in human cancers.

Authors:  Bobak Kechavarzi; Sarath Chandra Janga
Journal:  Genome Biol       Date:  2014-01-10       Impact factor: 13.583

Review 4.  Epigenomics and the concept of degeneracy in biological systems.

Authors:  Ryszard Maleszka; Paul H Mason; Andrew B Barron
Journal:  Brief Funct Genomics       Date:  2013-12-12       Impact factor: 4.241

5.  SeAMotE: a method for high-throughput motif discovery in nucleic acid sequences.

Authors:  Federico Agostini; Davide Cirillo; Riccardo Delli Ponti; Gian Gaetano Tartaglia
Journal:  BMC Genomics       Date:  2014-10-23       Impact factor: 3.969

Review 6.  Guardian of Genetic Messenger-RNA-Binding Proteins.

Authors:  Antje Anji; Meena Kumari
Journal:  Biomolecules       Date:  2016-01-06

7.  Dissecting the expression relationships between RNA-binding proteins and their cognate targets in eukaryotic post-transcriptional regulatory networks.

Authors:  Sneha Nishtala; Yaseswini Neelamraju; Sarath Chandra Janga
Journal:  Sci Rep       Date:  2016-05-10       Impact factor: 4.379

8.  Seten: a tool for systematic identification and comparison of processes, phenotypes, and diseases associated with RNA-binding proteins from condition-specific CLIP-seq profiles.

Authors:  Gungor Budak; Rajneesh Srivastava; Sarath Chandra Janga
Journal:  RNA       Date:  2017-03-23       Impact factor: 4.942

9.  Database of RNA binding protein expression and disease dynamics (READ DB).

Authors:  Seyedsasan Hashemikhabir; Yaseswini Neelamraju; Sarath Chandra Janga
Journal:  Database (Oxford)       Date:  2015-07-25       Impact factor: 3.451

10.  Mutational landscape of RNA-binding proteins in human cancers.

Authors:  Yaseswini Neelamraju; Abel Gonzalez-Perez; Poornima Bhat-Nakshatri; Harikrishna Nakshatri; Sarath Chandra Janga
Journal:  RNA Biol       Date:  2017-11-14       Impact factor: 4.652

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