Literature DB >> 31284216

Visualizing transcription: key to understanding gene expression dynamics.

Ineke Brouwer1, Tineke L Lenstra2.   

Abstract

Visualization of transcription in living cells has taught us that genes are often transcribed in bursts, with periods of gene activity interspersed by periods of inactivity. Recently, technological advances in live-cell imaging have provided a more detailed picture of the characteristics of transcriptional bursts, and have allowed direct visualization of the upstream regulatory steps of bursting at single-molecule resolution. In this review, we highlight the latest insights into transcription dynamics and we discuss recent developments in understanding the regulation of transcriptional bursting through the binding kinetics of transcription factors, enhancer-promoter interactions and clustering/phase separation of the transcriptional machinery.
Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.

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Year:  2019        PMID: 31284216     DOI: 10.1016/j.cbpa.2019.05.031

Source DB:  PubMed          Journal:  Curr Opin Chem Biol        ISSN: 1367-5931            Impact factor:   8.822


  14 in total

1.  Statistics of Nascent and Mature RNA Fluctuations in a Stochastic Model of Transcriptional Initiation, Elongation, Pausing, and Termination.

Authors:  Tatiana Filatova; Nikola Popovic; Ramon Grima
Journal:  Bull Math Biol       Date:  2020-12-22       Impact factor: 1.758

Review 2.  The epigenetic basis of cellular heterogeneity.

Authors:  Benjamin Carter; Keji Zhao
Journal:  Nat Rev Genet       Date:  2020-11-26       Impact factor: 53.242

3.  S100A11 activates the pentose phosphate pathway to induce malignant biological behaviour of pancreatic ductal adenocarcinoma.

Authors:  Xue Zeng; Hong Guo; Zhuang Liu; Zilan Qin; Yuyang Cong; Naihan Ren; Yuxiang Zhang; Na Zhang
Journal:  Cell Death Dis       Date:  2022-06-25       Impact factor: 9.685

4.  E2F1-mediated GINS2 transcriptional activation promotes tumor progression through PI3K/AKT/mTOR pathway in hepatocellular carcinoma.

Authors:  Yao Zhang; Xiaopei Hao; Guoyong Han; Yiwei Lu; Zhiqiang Chen; Long Zhang; Jindao Wu; Xuehao Wang
Journal:  Am J Cancer Res       Date:  2022-04-15       Impact factor: 5.942

5.  An intrinsically disordered region-mediated confinement state contributes to the dynamics and function of transcription factors.

Authors:  David A Garcia; Thomas A Johnson; Diego M Presman; Gregory Fettweis; Kaustubh Wagh; Lorenzo Rinaldi; Diana A Stavreva; Ville Paakinaho; Rikke A M Jensen; Susanne Mandrup; Arpita Upadhyaya; Gordon L Hager
Journal:  Mol Cell       Date:  2021-02-08       Impact factor: 19.328

Review 6.  Following the tracks: How transcription factor binding dynamics control transcription.

Authors:  Wim J de Jonge; Heta P Patel; Joseph V W Meeussen; Tineke L Lenstra
Journal:  Biophys J       Date:  2022-03-23       Impact factor: 3.699

Review 7.  Monitoring the spatio-temporal organization and dynamics of the genome.

Authors:  Haitham A Shaban; Andrew Seeber
Journal:  Nucleic Acids Res       Date:  2020-04-17       Impact factor: 16.971

8.  Clues of in vivo nuclear gene regulation by mitochondrial short non-coding RNAs.

Authors:  Marco Passamonti; Federico Plazzi; Marco Calderone; Manuel Delpero
Journal:  Sci Rep       Date:  2020-05-19       Impact factor: 4.379

Review 9.  Capturing and Understanding the Dynamics and Heterogeneity of Gene Expression in the Living Cell.

Authors:  Amparo Pascual-Ahuir; Josep Fita-Torró; Markus Proft
Journal:  Int J Mol Sci       Date:  2020-11-05       Impact factor: 5.923

10.  A deep learning framework combined with word embedding to identify DNA replication origins.

Authors:  Feng Wu; Runtao Yang; Chengjin Zhang; Lina Zhang
Journal:  Sci Rep       Date:  2021-01-12       Impact factor: 4.379

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