Literature DB >> 20627890

TATA is a modular component of synthetic promoters.

Ilaria Mogno1, Francesco Vallania, Robi D Mitra, Barak A Cohen.   

Abstract

The expression of most genes is regulated by multiple transcription factors. The interactions between transcription factors produce complex patterns of gene expression that are not always obvious from the arrangement of cis-regulatory elements in a promoter. One critical element of promoters is the TATA box, the docking site for the RNA polymerase holoenzyme. Using a synthetic promoter system coupled to a thermodynamic model of combinatorial regulation, we analyze the effects of different strength TATA boxes on various aspects of combinatorial cis-regulation. The thermodynamic model explains 75% of the variance in gene expression in synthetic promoter libraries with different strength TATA boxes, suggesting that many of the salient aspects of cis-regulation are captured by the model. Our results demonstrate that the effect of changing the TATA box on gene expression is the same for all synthetic promoters regardless of the arrangement of cis-regulatory sites we studied. Our analysis also showed that in our synthetic system the strength of the RNA polymerase-TATA interaction does not alter the combinatorial interactions between transcription factors, or between transcription factors and RNA polymerase. Finally, we show that although stronger TATA boxes increase expression in a predictable fashion, stronger TATA boxes have very little effect on noise in our synthetic promoters, regardless of the arrangement of cis-regulatory sites. Our results support a modular model of promoter function, where cis-regulatory elements can be mixed and matched (programmed) with outcomes on expression that are predictable based on the rules of simple protein-protein and protein-DNA interactions.

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Year:  2010        PMID: 20627890      PMCID: PMC2945188          DOI: 10.1101/gr.106732.110

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  37 in total

1.  Redundant roles for the TFIID and SAGA complexes in global transcription.

Authors:  T I Lee; H C Causton; F C Holstege; W C Shen; N Hannett; E G Jennings; F Winston; M R Green; R A Young
Journal:  Nature       Date:  2000-06-08       Impact factor: 49.962

Review 2.  Orchestrated response: a symphony of transcription factors for gene control.

Authors:  B Lemon; R Tjian
Journal:  Genes Dev       Date:  2000-10-15       Impact factor: 11.361

3.  A genetic signature of interspecies variations in gene expression.

Authors:  Itay Tirosh; Adina Weinberger; Miri Carmi; Naama Barkai
Journal:  Nat Genet       Date:  2006-06-18       Impact factor: 38.330

4.  Phenotypic consequences of promoter-mediated transcriptional noise.

Authors:  William J Blake; Gábor Balázsi; Michael A Kohanski; Farren J Isaacs; Kevin F Murphy; Yina Kuang; Charles R Cantor; David R Walt; James J Collins
Journal:  Mol Cell       Date:  2006-12-28       Impact factor: 17.970

5.  Noise in protein expression scales with natural protein abundance.

Authors:  Arren Bar-Even; Johan Paulsson; Narendra Maheshri; Miri Carmi; Erin O'Shea; Yitzhak Pilpel; Naama Barkai
Journal:  Nat Genet       Date:  2006-05-21       Impact factor: 38.330

Review 6.  Stochastic gene expression: from single molecules to the proteome.

Authors:  Benjamin B Kaufmann; Alexander van Oudenaarden
Journal:  Curr Opin Genet Dev       Date:  2007-02-20       Impact factor: 5.578

7.  Gene expression from random libraries of yeast promoters.

Authors:  Martin Ligr; Rahul Siddharthan; Fredrick R Cross; Eric D Siggia
Journal:  Genetics       Date:  2006-01-16       Impact factor: 4.562

8.  Combinatorial promoter design for engineering noisy gene expression.

Authors:  Kevin F Murphy; Gábor Balázsi; James J Collins
Journal:  Proc Natl Acad Sci U S A       Date:  2007-07-24       Impact factor: 11.205

9.  Cis-regulatory logic in the endo16 gene: switching from a specification to a differentiation mode of control.

Authors:  C H Yuh; H Bolouri; E H Davidson
Journal:  Development       Date:  2001-03       Impact factor: 6.868

10.  The cis-regulatory logic of the mammalian photoreceptor transcriptional network.

Authors:  Timothy H-C Hsiau; Claudiu Diaconu; Connie A Myers; Jongwoo Lee; Constance L Cepko; Joseph C Corbo
Journal:  PLoS One       Date:  2007-07-25       Impact factor: 3.240

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  40 in total

Review 1.  Synthetic Promoters: Designing the cis Regulatory Modules for Controlled Gene Expression.

Authors:  Jameel Aysha; Muhammad Noman; Fawei Wang; Weican Liu; Yonggang Zhou; Haiyan Li; Xiaowei Li
Journal:  Mol Biotechnol       Date:  2018-08       Impact factor: 2.695

2.  Candidate SNP markers of aggressiveness-related complications and comorbidities of genetic diseases are predicted by a significant change in the affinity of TATA-binding protein for human gene promoters.

Authors:  Irina V Chadaeva; Mikhail P Ponomarenko; Dmitry A Rasskazov; Ekaterina B Sharypova; Elena V Kashina; Marina Yu Matveeva; Tatjana V Arshinova; Petr M Ponomarenko; Olga V Arkova; Natalia P Bondar; Ludmila K Savinkova; Nikolay A Kolchanov
Journal:  BMC Genomics       Date:  2016-12-28       Impact factor: 3.969

Review 3.  In pursuit of design principles of regulatory sequences.

Authors:  Michal Levo; Eran Segal
Journal:  Nat Rev Genet       Date:  2014-06-10       Impact factor: 53.242

4.  Mapping the fine structure of a eukaryotic promoter input-output function.

Authors:  Arun S Rajkumar; Nicolas Dénervaud; Sebastian J Maerkl
Journal:  Nat Genet       Date:  2013-08-18       Impact factor: 38.330

5.  Cell-to-cell variability in the propensity to transcribe explains correlated fluctuations in gene expression.

Authors:  Marc S Sherman; Kim Lorenz; M Hunter Lanier; Barak A Cohen
Journal:  Cell Syst       Date:  2015-11-25       Impact factor: 10.304

6.  Commitment to a cellular transition precedes genome-wide transcriptional change.

Authors:  Umut Eser; Melody Falleur-Fettig; Amy Johnson; Jan M Skotheim
Journal:  Mol Cell       Date:  2011-08-19       Impact factor: 17.970

7.  Fitness effects of altering gene expression noise in Saccharomyces cerevisiae.

Authors:  Fabien Duveau; Andrea Hodgins-Davis; Brian Ph Metzger; Bing Yang; Stephen Tryban; Elizabeth A Walker; Tricia Lybrook; Patricia J Wittkopp
Journal:  Elife       Date:  2018-08-20       Impact factor: 8.140

8.  Nucleosome organization affects the sensitivity of gene expression to promoter mutations.

Authors:  Gil Hornung; Moshe Oren; Naama Barkai
Journal:  Mol Cell       Date:  2012-03-29       Impact factor: 17.970

Review 9.  Synthetic circuits, devices and modules.

Authors:  Hong Zhang; Taijiao Jiang
Journal:  Protein Cell       Date:  2010-12-10       Impact factor: 14.870

10.  Sequence features of yeast and human core promoters that are predictive of maximal promoter activity.

Authors:  Shai Lubliner; Leeat Keren; Eran Segal
Journal:  Nucleic Acids Res       Date:  2013-04-17       Impact factor: 16.971

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