Literature DB >> 22009988

Compensation for differences in gene copy number among yeast ribosomal proteins is encoded within their promoters.

Danny Zeevi1, Eilon Sharon, Maya Lotan-Pompan, Yaniv Lubling, Zohar Shipony, Tali Raveh-Sadka, Leeat Keren, Michal Levo, Adina Weinberger, Eran Segal.   

Abstract

Coordinate regulation of ribosomal protein (RP) genes is key for controlling cell growth. In yeast, it is unclear how this regulation achieves the required equimolar amounts of the different RP components, given that some RP genes exist in duplicate copies, while others have only one copy. Here, we tested whether the solution to this challenge is partly encoded within the DNA sequence of the RP promoters, by fusing 110 different RP promoters to a fluorescent gene reporter, allowing us to robustly detect differences in their promoter activities that are as small as ~10%. We found that single-copy RP promoters have significantly higher activities, suggesting that proper RP stoichiometry is indeed partly encoded within the RP promoters. Notably, we also partially uncovered how this regulation is encoded by finding that RP promoters with higher activity have more nucleosome-disfavoring sequences and characteristic spatial organizations of these sequences and of binding sites for key RP regulators. Mutations in these elements result in a significant decrease of RP promoter activity. Thus, our results suggest that intrinsic (DNA-dependent) nucleosome organization may be a key mechanism by which genomes encode biologically meaningful promoter activities. Our approach can readily be applied to uncover how transcriptional programs of other promoters are encoded.

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Year:  2011        PMID: 22009988      PMCID: PMC3227101          DOI: 10.1101/gr.119669.110

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


  52 in total

1.  TOR regulates ribosomal protein gene expression via PKA and the Forkhead transcription factor FHL1.

Authors:  Dietmar E Martin; Alexandre Soulard; Michael N Hall
Journal:  Cell       Date:  2004-12-29       Impact factor: 41.582

2.  An HMG protein, Hmo1, associates with promoters of many ribosomal protein genes and throughout the rRNA gene locus in Saccharomyces cerevisiae.

Authors:  Daniel B Hall; Joseph T Wade; Kevin Struhl
Journal:  Mol Cell Biol       Date:  2006-05       Impact factor: 4.272

3.  Microtiter plate transformation using the LiAc/SS carrier DNA/PEG method.

Authors:  R Daniel Gietz; Robert H Schiestl
Journal:  Nat Protoc       Date:  2007       Impact factor: 13.491

4.  Growth-regulated recruitment of the essential yeast ribosomal protein gene activator Ifh1.

Authors:  Stephan B Schawalder; Mehdi Kabani; Isabelle Howald; Urmila Choudhury; Michel Werner; David Shore
Journal:  Nature       Date:  2004-12-23       Impact factor: 49.962

5.  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

6.  A high-resolution map of transcription in the yeast genome.

Authors:  Lior David; Wolfgang Huber; Marina Granovskaia; Joern Toedling; Curtis J Palm; Lee Bofkin; Ted Jones; Ronald W Davis; Lars M Steinmetz
Journal:  Proc Natl Acad Sci U S A       Date:  2006-03-28       Impact factor: 11.205

7.  Fine-structure analysis of ribosomal protein gene transcription.

Authors:  Yu Zhao; Kerri B McIntosh; Dipayan Rudra; Stephan Schawalder; David Shore; Jonathan R Warner
Journal:  Mol Cell Biol       Date:  2006-07       Impact factor: 4.272

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.  An improved map of conserved regulatory sites for Saccharomyces cerevisiae.

Authors:  Kenzie D MacIsaac; Ting Wang; D Benjamin Gordon; David K Gifford; Gary D Stormo; Ernest Fraenkel
Journal:  BMC Bioinformatics       Date:  2006-03-07       Impact factor: 3.169

10.  Programming gene expression with combinatorial promoters.

Authors:  Robert Sidney Cox; Michael G Surette; Michael B Elowitz
Journal:  Mol Syst Biol       Date:  2007-11-13       Impact factor: 11.429

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  32 in total

1.  Manipulating nucleosome disfavoring sequences allows fine-tune regulation of gene expression in yeast.

Authors:  Tali Raveh-Sadka; Michal Levo; Uri Shabi; Boaz Shany; Leeat Keren; Maya Lotan-Pompan; Danny Zeevi; Eilon Sharon; Adina Weinberger; Eran Segal
Journal:  Nat Genet       Date:  2012-05-27       Impact factor: 38.330

2.  Deciphering the rules by which 5'-UTR sequences affect protein expression in yeast.

Authors:  Shlomi Dvir; Lars Velten; Eilon Sharon; Danny Zeevi; Lucas B Carey; Adina Weinberger; Eran Segal
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-05       Impact factor: 11.205

3.  Codon usage of highly expressed genes affects proteome-wide translation efficiency.

Authors:  Idan Frumkin; Marc J Lajoie; Christopher J Gregg; Gil Hornung; George M Church; Yitzhak Pilpel
Journal:  Proc Natl Acad Sci U S A       Date:  2018-05-07       Impact factor: 11.205

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.  Large ribosomal protein 4 increases efficiency of viral recoding sequences.

Authors:  Lisa Green; Brian Houck-Loomis; Andrew Yueh; Stephen P Goff
Journal:  J Virol       Date:  2012-06-20       Impact factor: 5.103

Review 6.  Strategies to discover regulatory circuits of the mammalian immune system.

Authors:  Ido Amit; Aviv Regev; Nir Hacohen
Journal:  Nat Rev Immunol       Date:  2011-11-18       Impact factor: 53.106

Review 7.  Determinants of nucleosome positioning.

Authors:  Kevin Struhl; Eran Segal
Journal:  Nat Struct Mol Biol       Date:  2013-03       Impact factor: 15.369

8.  Two DNA-encoded strategies for increasing expression with opposing effects on promoter dynamics and transcriptional noise.

Authors:  Maya Dadiani; David van Dijk; Barak Segal; Yair Field; Gil Ben-Artzi; Tali Raveh-Sadka; Michal Levo; Irene Kaplow; Adina Weinberger; Eran Segal
Journal:  Genome Res       Date:  2013-02-12       Impact factor: 9.043

9.  Promoter sequence determines the relationship between expression level and noise.

Authors:  Lucas B Carey; David van Dijk; Peter M A Sloot; Jaap A Kaandorp; Eran Segal
Journal:  PLoS Biol       Date:  2013-04-02       Impact factor: 8.029

10.  Regulatory elements of Caenorhabditis elegans ribosomal protein genes.

Authors:  Monica C Sleumer; Guifeng Wei; Yunfei Wang; Hao Chang; Tao Xu; Runsheng Chen; Michael Q Zhang
Journal:  BMC Genomics       Date:  2012-08-28       Impact factor: 3.969

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