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
2017
Systems analysis of latent HIV reversal reveals altered stress kinase signaling and increased cell death in infected T cells
Fong LE, Sulistijo ES, Miller-Jensen K. Systems analysis of latent HIV reversal reveals altered stress kinase signaling and increased cell death in infected T cells. Scientific Reports 2017, 7: 16179. PMID: 29170390, PMCID: PMC5701066, DOI: 10.1038/s41598-017-15532-0.Peer-Reviewed Original ResearchConceptsInfected T cellsT cellsT cell reservoirCell deathPMA/ionomycinCD3/CD28Phosphorylation of IκBαViral protein expressionPhosphorylation signaturesHIV eradicationLatent CD4HIV reactivationLatent reservoirLatent HIVActivation of p38Latent infectionClinical strategiesViral latencyViral expressionProtein expressionUninfected cellsInfected cellsDeathCD4Cell reservoir
2015
Distinct promoter activation mechanisms modulate noise-driven HIV gene expression
Chavali AK, Wong VC, Miller-Jensen K. Distinct promoter activation mechanisms modulate noise-driven HIV gene expression. Scientific Reports 2015, 5: 17661. PMID: 26666681, PMCID: PMC4678399, DOI: 10.1038/srep17661.Peer-Reviewed Original Research
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