Literature DB >> 21842360

Is transcription the dominant force during dynamic changes in gene expression?

Martin Turner1.   

Abstract

Dynamic changes in gene expression punctuate lymphocyte development and are a characteristic of lymphocyte activation. A prevailing view has been that these changes are driven by DNA transcription factors, which are the dominant force in gene expression. Accumulating evidence is challenging this DNA centric view and has highlighted the prevalence and dynamic nature of RNA handling mechanisms. Alternative splicing and differential polyadenylation appear to be more widespread than first thought. Changes in mRNA decay rates also affect the abundance of transcripts and this mechanism may contribute significantly to gene expression. Additional RNA handling mechanisms that control the intracellular localization of mRNA and association with translating ribosomes are also important. Thus, gene expression is regulated through the coordination of transcriptional and post-transcriptional mechanisms. Developing a more "RNA centric" view of gene expression will allow a more systematic understanding of how gene expression and cell function are integrated.

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Year:  2011        PMID: 21842360     DOI: 10.1007/978-1-4419-5632-3_1

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  8 in total

1.  Optimization of translation profiles enhances protein expression and solubility.

Authors:  Anne-Katrin Hess; Paul Saffert; Klaus Liebeton; Zoya Ignatova
Journal:  PLoS One       Date:  2015-05-12       Impact factor: 3.240

2.  Reversible and rapid transfer-RNA deactivation as a mechanism of translational repression in stress.

Authors:  Andreas Czech; Sandra Wende; Mario Mörl; Tao Pan; Zoya Ignatova
Journal:  PLoS Genet       Date:  2013-08-29       Impact factor: 5.917

Review 3.  Uncovering the Role of RNA-Binding Proteins in Gene Expression in the Immune System.

Authors:  Manuel D Díaz-Muñoz; Martin Turner
Journal:  Front Immunol       Date:  2018-05-23       Impact factor: 7.561

4.  Transcriptional Profiles of California Sea Lion Peripheral NK and CD+8 T Cells Reflect Ecological Regionalization and Infection by Oncogenic Viruses.

Authors:  Ignacio Peñín; Mónica E Figueroa-Cabañas; Fabiola Guerrero-de la Rosa; Luis A Soto-García; Roberto Álvarez-Martínez; Adriana Flores-Morán; Karina Acevedo-Whitehouse
Journal:  Front Immunol       Date:  2019-03-12       Impact factor: 7.561

5.  Systematic analysis of lncRNA and microRNA dynamic features reveals diagnostic and prognostic biomarkers of myocardial infarction.

Authors:  Hongbo Shi; Haoran Sun; Jiayao Li; Ziyi Bai; Jie Wu; Xiuhong Li; Yingli Lv; Guangde Zhang
Journal:  Aging (Albany NY)       Date:  2020-01-12       Impact factor: 5.682

Review 6.  Cooperation of RNA-Binding Proteins - a Focus on Roquin Function in T Cells.

Authors:  Gesine Behrens; Vigo Heissmeyer
Journal:  Front Immunol       Date:  2022-02-18       Impact factor: 7.561

7.  Interplay of microRNAs, transcription factors and target genes: linking dynamic expression changes to function.

Authors:  Petr V Nazarov; Susanne E Reinsbach; Arnaud Muller; Nathalie Nicot; Demetra Philippidou; Laurent Vallar; Stephanie Kreis
Journal:  Nucleic Acids Res       Date:  2013-01-17       Impact factor: 16.971

8.  Studying Dynamic Features in Myocardial Infarction Progression by Integrating miRNA-Transcription Factor Co-Regulatory Networks and Time-Series RNA Expression Data from Peripheral Blood Mononuclear Cells.

Authors:  Hongbo Shi; Guangde Zhang; Jing Wang; Zhenzhen Wang; Xiaoxia Liu; Liang Cheng; Weimin Li
Journal:  PLoS One       Date:  2016-07-01       Impact factor: 3.240

  8 in total

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