Cited by 457Genomics and Chromatin DynamicsGene Regulatory Network AnalysisFungal and yeast genetics research

Inferring gene regulatory logic from high-throughput measurements of thousands of systematically designed promoters

Open access
Sharon, Eilon, Kalma, Yael, Sharp, Ayala, Raveh-Sadka, Tali, Levo, Michal, Zeevi, Danny, Keren, Leeat, Yakhini, Zohar +2 more·2012·Nature Biotechnology

Abstract

Despite extensive research, our understanding of the rules according to which cis-regulatory sequences are converted into gene expression is limited. We devised a method for obtaining parallel, highly accurate gene expression measurements from thousands of designed promoters and applied it to measure the effect of systematic changes in the location, number, orientation, affinity and organization of transcription-factor binding sites and nucleosome-disfavoring sequences. Our analyses reveal a clear relationship between expression and binding-site multiplicity, as well as dependencies of expression on the distance between transcription-factor binding sites and gene starts which are transcription-factor specific, including a striking ∼10-bp periodic relationship between gene expression and binding-site location. We show how this approach can measure transcription-factor sequence specificities and the sensitivity of transcription-factor sites to the surrounding sequence context, and compare the activity of 75 yeast transcription factors. Our method can be used to study both cis and trans effects of genotype on transcriptional, post-transcriptional and translational control.

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  • Measuring enhancer activity of synthetic, systematically designed DNA sequences with TFBSs placed in an otherwise inert sequence context is an alternative way to study the cis-regulatory code.

    “An alternative way to study the cis-regulatory code is to measure the enhancer activity of synthetic, systematically designed DNA sequences, where TF binding sites (TFBSs) are placed in an otherwise inert sequence context.27,30,31,32,33,34”

    From Design principles of cell-state-specific enhancers in hematopoiesis (2025) · cites this paper as [32]

    The Results section (“Parallel expression measurements of thousands of designed promoters,” page unavailable) describes a library of synthetic promoters used to measure how designed TF-binding-site changes affect reporter expression. But the paper measures promoter expression, not enhancer activity, and its Results section on surrounding sequence shows that the sequence context can itself affect expression; it does not establish an otherwise inert context. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

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  1. [1]Chiang DY Nix DA Shultzaberger RK Gasch AP Eisen MB Flexible promoter architecture requirements for coactivator recruitment BMC Mol Biol 2006 7 16 16646957 PMC1488866
  2. [2]Ligr M Siddharthan R Cross FR Siggia ED Gene expression from random libraries of yeast promoters Genetics 2006 172 2113 2122 16415362 PMC1456374
  3. [3]Kinkhabwala A Guet CC Uncovering cis regulatory codes using synthetic promoter shuffling PLoS One 2008 3 e2030 18446205 PMC2321153
  4. [4]Gertz J Siggia ED Cohen BA Analysis of combinatorial cis-regulation in synthetic and genomic promoters Nature 2009 457 215 218 19029883 PMC2677908
  5. [5]Cox RS 3rd Surette MG Elowitz MB Programming gene expression with combinatorial promoters Mol Syst Biol 2007 3 145 18004278 PMC2132448
  6. [6]Kinney JB Murugan A Callan CG Jr Cox EC Using deep sequencing to characterize the biophysical mechanism of a transcriptional regulatory sequence Proc Natl Acad Sci U S A 2010 107 9158 9163 20439748 PMC2889059
  7. [7]Giniger E Ptashne M Cooperative DNA binding of the yeast transcriptional activator GAL4 Proc Natl Acad Sci U S A 1988 85 382 386 3124106 PMC279552
  8. [8]Iyer V Struhl K Poly(dA:dT), a ubiquitous promoter element that stimulates transcription via its intrinsic DNA structure Embo J 1995 14 2570 2579 7781610 PMC398371
  9. [9]Lam FH Steger DJ O'Shea EK Chromatin decouples promoter threshold from dynamic range Nature 2008 453 246 250 18418379 PMC2435410
  10. [10]Murphy KF Balazsi G Collins JJ Combinatorial promoter design for engineering noisy gene expression Proc Natl Acad Sci U S A 2007 104 12726 12731 17652177 PMC1931564
  11. [11]Patwardhan RP High-resolution analysis of DNA regulatory elements by synthetic saturation mutagenesis Nat Biotechnol 2009 27 1173 1175 19915551 PMC2849652
  12. [12]Patwardhan RP Massively parallel functional dissection of mammalian enhancers in vivo Nat Biotechnol 2012 30 265 270 22371081 PMC3402344
  13. [13]Melnikov A Systematic dissection and optimization of inducible enhancers in human cells using a massively parallel reporter assay Nat Biotechnol 2012 30 271 277 22371084 PMC3297981
  14. [14]LeProust EM Synthesis of high-quality libraries of long (150mer) oligonucleotides by a novel depurination controlled process Nucleic Acids Res 2010 38 2522 2540 20308161 PMC2860131
  15. [15]Kaplan N The DNA-encoded nucleosome organization of a eukaryotic genome Nature 2009 458 362 366 19092803 PMC2658732
  16. [16]Baliga NS Promoter analysis by saturation mutagenesis Biological procedures online 2001 3 64 69 12734578 PMC145547
  17. [17]Anderson JD Widom J Poly(dA-dT) promoter elements increase the equilibrium accessibility of nucleosomal DNA target sites Mol Cell Biol 2001 21 3830 3839 11340174 PMC87046
  18. [18]Segal E Widom J Poly(dA:dT) tracts: major determinants of nucleosome organization Curr Opin Struct Biol 2009 19 65 71 19208466 PMC2673466
  19. [19]Zeevi D Compensation for differences in gene copy number among yeast ribosomal proteins is encoded within their promoters Genome Res 2011 21 2114 2128 22009988 PMC3227101
  20. [20]Badis G Diversity and complexity in DNA recognition by transcription factors Science 2009 324 1720 1723 19443739 PMC2905877
  21. [23]Zhao Y Fine-structure analysis of ribosomal protein gene transcription Mol Cell Biol 2006 26 4853 4862 16782874 PMC1489154
  22. [24]Blaiseau PL Lesuisse E Camadro JM Aft2p, a novel iron-regulated transcription activator that modulates, with Aft1p, intracellular iron use and resistance to oxidative stress in yeast J Biol Chem 2001 276 34221 34226 11448968
  23. [25]Lamb TM Mitchell AP The transcription factor Rim101p governs ion tolerance and cell differentiation by direct repression of the regulatory genes NRG1 and SMP1 in Saccharomyces cerevisiae Mol Cell Biol 2003 23 677 686 12509465 PMC151549
  24. [26]Hanlon SE Rizzo JM Tatomer DC Lieb JD Buck MJ The stress response factors Yap6, Cin5, Phd1, and Skn7 direct targeting of the conserved co-repressor Tup1-Ssn6 in S cerevisiae PLoS One 2011 6 e19060 21552514 PMC3084262
  25. [27]Canizares JV Pallotti C Sainz-Pardo I Iranzo M Mormeneo S The SRD2 gene is involved in Saccharomyces cerevisiae morphogenesis Archives of microbiology 2002 177 352 357 11889490
  26. [28]Akache B Wu K Turcotte B Phenotypic analysis of genes encoding yeast zinc cluster proteins Nucleic Acids Res 2001 29 2181 2190 11353088 PMC55459
  27. [29]Woudt LP Smit AB Mager WH Planta RJ Conserved sequence elements upstream of the gene encoding yeast ribosomal protein L25 are involved in transcription activation Embo J 1986 5 1037 1040 3013611 PMC1166898
  28. [30]Lieb JD Liu X Botstein D Brown PO Promoter-specific binding of Rap1 revealed by genome-wide maps of protein-DNA association Nat Genet 2001 28 327 334 11455386
  29. [32]Maerkl SJ Quake SR A systems approach to measuring the binding energy landscapes of transcription factors Science 2007 315 233 237 17218526
  30. [33]Bulyk ML Gentalen E Lockhart DJ Church GM Quantifying DNA-protein interactions by double-stranded DNA arrays Nat Biotechnol 1999 17 573 577 10385322
  31. [34]Raveh-Sadka T Manipulating Nucleosome Disfavoring Sequences Allows Fine-Tune Regulation of Gene Expression in Yeast Submitted for publication. 22634752
  32. [35]Kim JH Polish J Johnston M Specificity and regulation of DNA binding by the yeast glucose transporter gene repressor Rgt1 Mol Cell Biol 2003 23 5208 5216 12861007 PMC165726
  33. [36]Karolchik D The UCSC Genome Browser Database Nucleic Acids Res 2003 31 51 54 12519945 PMC165576
  34. [37]Zhu C High-resolution DNA binding specificity analysis of yeast transcription factors Genome Res 2009 19 556 566 19158363 PMC2665775
  35. [38]Cleary MA Production of complex nucleic acid libraries using highly parallel in situ oligonucleotide synthesis Nat Methods 2004 1 241 248 15782200
  36. [39]Sheff MA Thorn KS Optimized cassettes for fluorescent protein tagging in Saccharomyces cerevisiae Yeast 2004 21 661 670 15197731
  37. [40]Breslow DK A comprehensive strategy enabling high-resolution functional analysis of the yeast genome Nat Methods 2008 5 711 718 18622397 PMC2756093
  38. [41]Hoaglin DC Mosteller F Tukey JW Understanding robust and exploratory data anlysis 1983 Wiley

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Authors
Sharon, E., Kalma, Y., Sharp, A., Raveh-Sadka, T., Levo, M., Zeevi, D., Keren, L., Yakhini, Z., Weinberger, A., & Segal, E.
Affiliations
Weizmann Institute of Science (IL)
Corresponding author
  • Weinberger, Adina
  • Segal, Eran
Venue
Nature Biotechnology
Published
2012-05-20
Volume
30
Issue
6
Pages
521-530
ISSN
  • 0733-222X (ISSN-L)
  • 1087-0156
  • 1546-1696
OpenAlex
W2145674897
Cited by
457
References
3
Citations by year
2026: 17 · 2025: 26 · 2024: 17 · 2023: 31 · 2022: 27 · 2021: 42 · 2020: 30 · 2019: 27 · 2018: 33 · 2017: 30 · 2016: 53 · 2015: 36 · 2014: 45 · 2013: 35 · 2012: 8
FWCI
14.92
Type
journal article
Language
en
Open access
Locations
  • Nature Biotechnology (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health (5r01ca119176-10)
  • National Cancer Institute (R01-CA119176)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fungal and yeast genetics research
Keywords
cis-regulatory sequences, transcription factor binding sites, promoter design, yeast promoters, transcriptional regulation, sequence context effects
MeSH terms
Binding Sites, Genetic Engineering, Genotype, Models, Genetic, Nucleosomes, Promoter Regions, Genetic, Research Design, Transcription Factors, Yeasts, Gene Expression Regulation, Fungal, Cluster Analysis, Genome, Fungal, Computational Biology, Gene Regulatory Networks, High-Throughput Nucleotide Sequencing

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