Literature DB >> 19233208

Synergy of repression and silencing gradients along the chromosome.

Prasuna Ratna1, Simone Scherrer, Christoph Fleischli, Attila Becskei.   

Abstract

The expression of a gene is determined by the transcriptional activators and repressors bound to its regulatory regions. It is not clear how these opposing activities are summed to define the degree of silencing of genes within a segment of the eukaryotic chromosome. We show that the general repressor Ssn6 and the silencing protein Sir3 generate inhibitory gradients with similar slopes over a transcribed gene, even though Ssn6 is considered a promoter-specific repressor of single genes, while Sir3 is a regional silencer. When two repression or silencing gradients flank a gene, they have a multiplicative effect on gene expression. A significant amplification of the interacting gradients distinguishes silencing from repression. When a silencing gradient is enhanced, the distance-dependence of the amplification changes and long-range effects are established preferentially. These observations reveal that repression and silencing proteins can attain different tiers in a hierarchy of conserved regulatory modes. The quantitative rules associated with these modes will help to explain the co-expression pattern of adjacent genes in the genome.

Mesh:

Substances:

Year:  2009        PMID: 19233208     DOI: 10.1016/j.jmb.2009.02.025

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  9 in total

1.  Modeling of chromosomal epigenetic silencing processes.

Authors:  Attila Becskei; Simone Scherrer; Janos Z Kelemen; Ann Ehrenhofer Murray
Journal:  Transcription       Date:  2011-07

2.  Engineering Epigenetic Regulation Using Synthetic Read-Write Modules.

Authors:  Minhee Park; Nikit Patel; Albert J Keung; Ahmad S Khalil
Journal:  Cell       Date:  2018-12-06       Impact factor: 41.582

3.  Spatial epigenetic control of mono- and bistable gene expression.

Authors:  János Z Kelemen; Prasuna Ratna; Simone Scherrer; Attila Becskei
Journal:  PLoS Biol       Date:  2010-03-16       Impact factor: 8.029

4.  Combinatorial gene regulation using auto-regulation.

Authors:  Rutger Hermsen; Bas Ursem; Pieter Rein ten Wolde
Journal:  PLoS Comput Biol       Date:  2010-06-10       Impact factor: 4.475

5.  Stochastic signalling rewires the interaction map of a multiple feedback network during yeast evolution.

Authors:  Chieh Hsu; Simone Scherrer; Antoine Buetti-Dinh; Prasuna Ratna; Julia Pizzolato; Vincent Jaquet; Attila Becskei
Journal:  Nat Commun       Date:  2012-02-21       Impact factor: 14.919

Review 6.  The epigenome: the next substrate for engineering.

Authors:  Minhee Park; Albert J Keung; Ahmad S Khalil
Journal:  Genome Biol       Date:  2016-08-31       Impact factor: 13.583

7.  Multiplexed gene control reveals rapid mRNA turnover.

Authors:  Antoine Baudrimont; Sylvia Voegeli; Eduardo Calero Viloria; Fabian Stritt; Marine Lenon; Takeo Wada; Vincent Jaquet; Attila Becskei
Journal:  Sci Adv       Date:  2017-07-12       Impact factor: 14.136

8.  Control and signal processing by transcriptional interference.

Authors:  Antoine Buetti-Dinh; Rosemarie Ungricht; János Z Kelemen; Chetak Shetty; Prasuna Ratna; Attila Becskei
Journal:  Mol Syst Biol       Date:  2009-08-18       Impact factor: 11.429

Review 9.  Impact of Methods on the Measurement of mRNA Turnover.

Authors:  Takeo Wada; Attila Becskei
Journal:  Int J Mol Sci       Date:  2017-12-15       Impact factor: 5.923

  9 in total

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