2016
Large-scale mapping of gene regulatory logic reveals context-dependent repression by transcriptional activators
van Dijk D, Sharon E, Lotan-Pompan M, Weinberger A, Segal E, Carey LB. Large-scale mapping of gene regulatory logic reveals context-dependent repression by transcriptional activators. Genome Research 2016, 27: 87-94. PMID: 27965290, PMCID: PMC5204347, DOI: 10.1101/gr.212316.116.Peer-Reviewed Original ResearchConceptsTranscription factorsGene regulatory logicPromoter DNA sequencesGene expression outputActive transcription factorTarget gene expressionGene expression profilesMaximum promoter activityTranscriptional activatorExpression outputRegulatory logicDNA sequencesGene expressionPromoter activityIntracellular signalsExpression profilesTF moleculesActivity of thousandsActivator siteLocal poolAbsolute expressionTF concentrationPromoterKey mediatorExpression
2014
Probing the effect of promoters on noise in gene expression using thousands of designed sequences
Sharon E, van Dijk D, Kalma Y, Keren L, Manor O, Yakhini Z, Segal E. Probing the effect of promoters on noise in gene expression using thousands of designed sequences. Genome Research 2014, 24: 1698-1706. PMID: 25030889, PMCID: PMC4199362, DOI: 10.1101/gr.168773.113.Peer-Reviewed Original ResearchConceptsExpression noiseGene expressionMean expression levelTranscription factorsPromoter sequencesExpression levelsGene expression noisePromoter DNA sequencesMore transcription factorsNucleosome-disfavoring sequencesHigher expression noiseDifferent promoter sequencesNonspecific DNA bindingOne-dimensional slidingCellular functionsHigh-throughput methodNative promoterDNA sequencesDNA bindingSynthetic promotersPromoterIdentical cellsTarget siteSequence
2013
Promoter Sequence Determines the Relationship between Expression Level and Noise
Carey LB, van Dijk D, Sloot PM, Kaandorp JA, Segal E. Promoter Sequence Determines the Relationship between Expression Level and Noise. PLOS Biology 2013, 11: e1001528. PMID: 23565060, PMCID: PMC3614515, DOI: 10.1371/journal.pbio.1001528.Peer-Reviewed Original ResearchMeSH KeywordsAlcohol DehydrogenaseBacterial ProteinsBase SequenceBinding SitesCation Transport ProteinsEnzyme InductionGene ExpressionGene Expression Regulation, FungalGene LibraryGenes, ReporterKineticsLuminescent ProteinsModels, GeneticPromoter Regions, GeneticProtein BindingSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsTranscription FactorsConceptsTranscriptional burstsUnique transcriptional statesTranscription factor activitySingle target geneExpression levelsMechanism of repressionAbility of cellsTF activityGene expression levelsExtracellular cuesTranscriptional statesTranscriptional regulationPromoter DNAPromoter sequencesSingle TFCell variabilityTarget genesRegulatory mechanismsExpression changesZap1Diverse mechanismsNative targetsFactor activityExpression increasesGenesTwo DNA-encoded strategies for increasing expression with opposing effects on promoter dynamics and transcriptional noise
Dadiani M, van Dijk D, Segal B, Field Y, Ben-Artzi G, Raveh-Sadka T, Levo M, Kaplow I, Weinberger A, Segal E. Two DNA-encoded strategies for increasing expression with opposing effects on promoter dynamics and transcriptional noise. Genome Research 2013, 23: 966-976. PMID: 23403035, PMCID: PMC3668364, DOI: 10.1101/gr.149096.112.Peer-Reviewed Original ResearchConceptsPromoter dynamicsExpression variabilityPromoter transitionsSingle-cell time-lapse microscopyInactive stateSequence changesNucleosome-disfavoring sequencesCis-regulatory elementsProcess of transcriptionActive stateNumber of transcriptsTime-lapse microscopyCell populationsTranscriptional noiseTranscriptional dynamicsSite resultsTranscription factorsDNA sequencesGene expressionMean expressionIdentical populationsIndividual cellsSequence resultsExpression levelsTranscripts