Literature DB >> 29165040

A code for transcription elongation speed.

Eyal Cohen1, Zohar Zafrir2, Tamir Tuller2,3.   

Abstract

The two major steps of gene expression are transcription and translation. While hundreds of studies regarding the effect of sequence features on the translation elongation process have been published, very few connect sequence features to the transcription elongation rate. We suggest, for the first time, that short transcript sub-sequences have a typical effect on RNA polymerase (RNAP) speed: we show that nucleotide 5-mers tend to have typical RNAP speed (or transcription rate), which is consistent along different parts of genes and among different groups of genes with high correlation. We also demonstrate that relative RNAP speed correlates with mRNA levels of endogenous and heterologous genes. Furthermore, we show that the estimated transcription and translation elongation rates correlate in endogenous genes. Finally, we demonstrate that our results are consistent for different high resolution experimental measurements of RNAP densities. These results suggest for the first time that transcription elongation is partly encoded in the transcript, affected by the codon-usage, and optimized by evolution with a significant effect on gene expression and organismal fitness.

Entities:  

Keywords:  RNA polymerase; Transcription elongation; codon-usage bias; transcript evolution

Mesh:

Substances:

Year:  2017        PMID: 29165040      PMCID: PMC5785986          DOI: 10.1080/15476286.2017.1384118

Source DB:  PubMed          Journal:  RNA Biol        ISSN: 1547-6286            Impact factor:   4.652


  56 in total

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Authors:  Bradley Zamft; Lacramioara Bintu; Toyotaka Ishibashi; Carlos Bustamante
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-21       Impact factor: 11.205

2.  The RNA polymerase flow model of gene transcription.

Authors:  Shlomit Edri; Eran Gazit; Eyal Cohen; Tamir Tuller
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2014-02       Impact factor: 3.833

3.  The codon Adaptation Index--a measure of directional synonymous codon usage bias, and its potential applications.

Authors:  P M Sharp; W H Li
Journal:  Nucleic Acids Res       Date:  1987-02-11       Impact factor: 16.971

4.  Exonic transcription factor binding directs codon choice and affects protein evolution.

Authors:  Andrew B Stergachis; Eric Haugen; Anthony Shafer; Wenqing Fu; Benjamin Vernot; Alex Reynolds; Anthony Raubitschek; Steven Ziegler; Emily M LeProust; Joshua M Akey; John A Stamatoyannopoulos
Journal:  Science       Date:  2013-12-13       Impact factor: 47.728

5.  Backtracking determines the force sensitivity of RNAP II in a factor-dependent manner.

Authors:  Eric A Galburt; Stephan W Grill; Anna Wiedmann; Lucyna Lubkowska; Jason Choy; Eva Nogales; Mikhail Kashlev; Carlos Bustamante
Journal:  Nature       Date:  2007-03-14       Impact factor: 49.962

6.  Genome-wide analysis in vivo of translation with nucleotide resolution using ribosome profiling.

Authors:  Nicholas T Ingolia; Sina Ghaemmaghami; John R S Newman; Jonathan S Weissman
Journal:  Science       Date:  2009-02-12       Impact factor: 47.728

7.  Composite effects of gene determinants on the translation speed and density of ribosomes.

Authors:  Tamir Tuller; Isana Veksler-Lublinsky; Nir Gazit; Martin Kupiec; Eytan Ruppin; Michal Ziv-Ukelson
Journal:  Genome Biol       Date:  2011-11-03       Impact factor: 13.583

8.  A map of nucleosome positions in yeast at base-pair resolution.

Authors:  Kristin Brogaard; Liqun Xi; Ji-Ping Wang; Jonathan Widom
Journal:  Nature       Date:  2012-06-28       Impact factor: 49.962

9.  Properties of untranslated regions of the S. cerevisiae genome.

Authors:  Tamir Tuller; Eytan Ruppin; Martin Kupiec
Journal:  BMC Genomics       Date:  2009-08-22       Impact factor: 3.969

10.  Selection on codon bias in yeast: a transcriptional hypothesis.

Authors:  Edoardo Trotta
Journal:  Nucleic Acids Res       Date:  2013-08-13       Impact factor: 16.971

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  8 in total

Review 1.  The effects of codon bias and optimality on mRNA and protein regulation.

Authors:  Fabian Hia; Osamu Takeuchi
Journal:  Cell Mol Life Sci       Date:  2020-10-30       Impact factor: 9.261

Review 2.  So close, no matter how far: multiple paths connecting transcription to mRNA translation in eukaryotes.

Authors:  Boris Slobodin; Rivka Dikstein
Journal:  EMBO Rep       Date:  2020-08-16       Impact factor: 8.807

3.  Prediction and large-scale analysis of primary operons in plastids reveals unique genetic features in the evolution of chloroplasts.

Authors:  Noam Shahar; Iddo Weiner; Lior Stotsky; Tamir Tuller; Iftach Yacoby
Journal:  Nucleic Acids Res       Date:  2019-04-23       Impact factor: 16.971

Review 4.  Multi-level remodeling of transcriptional landscapes in aging and longevity.

Authors:  Rochelle W Lai; Ryan Lu; Prakroothi S Danthi; Juan I Bravo; Alexandre Goumba; Nirmal Kumar Sampathkumar; Bérénice A Benayoun
Journal:  BMB Rep       Date:  2019-01       Impact factor: 4.778

5.  Networks of ribosome flow models for modeling and analyzing intracellular traffic.

Authors:  Itzik Nanikashvili; Yoram Zarai; Alexander Ovseevich; Tamir Tuller; Michael Margaliot
Journal:  Sci Rep       Date:  2019-02-08       Impact factor: 4.379

6.  A comprehensive analysis of the phylogenetic signal in ramp sequences in 211 vertebrates.

Authors:  Lauren M McKinnon; Justin B Miller; Michael F Whiting; John S K Kauwe; Perry G Ridge
Journal:  Sci Rep       Date:  2021-01-12       Impact factor: 4.379

7.  Full-length ribosome density prediction by a multi-input and multi-output model.

Authors:  Tingzhong Tian; Shuya Li; Peng Lang; Dan Zhao; Jianyang Zeng
Journal:  PLoS Comput Biol       Date:  2021-03-26       Impact factor: 4.475

8.  CSN: unsupervised approach for inferring biological networks based on the genome alone.

Authors:  Maya Galili; Tamir Tuller
Journal:  BMC Bioinformatics       Date:  2020-05-15       Impact factor: 3.169

  8 in total

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