2022
A transcriptional cycling model recapitulates chromatin-dependent features of noisy inducible transcription
Bullock ME, Moreno-Martinez N, Miller-Jensen K. A transcriptional cycling model recapitulates chromatin-dependent features of noisy inducible transcription. PLOS Computational Biology 2022, 18: e1010152. PMID: 36084132, PMCID: PMC9491597, DOI: 10.1371/journal.pcbi.1010152.Peer-Reviewed Original ResearchConceptsGene expression noiseExpression noiseTranscriptional burstingPromoter statesDifferent chromatin environmentsChromatin environmentChromatin statePause releaseTranscription factor NFChromatin accessibilityChromatin remodelingTranscriptional noiseChromatin locationsInducible transcriptionSubstantial phenotypic heterogeneityTranscriptional activationTranscription factorsTranscript distributionPolymerase complexTarget genesPolymerase bindingGene expressionPromoter activityViral activationBiological processes
2013
Genetic Selection for Context-Dependent Stochastic Phenotypes: Sp1 and TATA Mutations Increase Phenotypic Noise in HIV-1 Gene Expression
Miller-Jensen K, Skupsky R, Shah PS, Arkin AP, Schaffer DV. Genetic Selection for Context-Dependent Stochastic Phenotypes: Sp1 and TATA Mutations Increase Phenotypic Noise in HIV-1 Gene Expression. PLOS Computational Biology 2013, 9: e1003135. PMID: 23874178, PMCID: PMC3708878, DOI: 10.1371/journal.pcbi.1003135.Peer-Reviewed Original ResearchConceptsGenomic contextGene expressionSp1 mutationPromoter sequencesStochastic phenotypeEukaryotic gene expressionForward genetic screenBasal expressionHIV-1 gene expressionViral gene expressionCore promoter regionSingle-cell experimentsGene expression levelsGenetic screenHIV LTR promoterPhenotypic noiseAbsence of TatTranscription factorsPromoter elementsGenomic integrationPositive feedback loopGenetic elementsRelevant model systemPromoter regionGenetic selection