2024
Transcription factor-dependent regulatory networks of sexual reproduction in Fusarium graminearum.
Kim W, Kim D, Wang Z, Liu M, Townsend J, Trail F. Transcription factor-dependent regulatory networks of sexual reproduction in Fusarium graminearum. MBio 2024, e0303024. PMID: 39589130, DOI: 10.1128/mbio.03030-24.Peer-Reviewed Original ResearchMating-type locusSexual reproductionKnockout mutantsTranscription factorsTranscriptome dataStage of sexual developmentRegulatory networksTranscriptional cascadeDevelopmental phenotypesSexual developmentAscospore productionRegulation of sexual developmentUpstream activatorSexual fruiting bodiesTranscriptional regulatory cascadeMulticellular body planRegulate sexual developmentMultiple transcription factorsFusarium graminearum</i>Systems biology approachComplex reproductive biologyEarly stages of sexual developmentArrest phenotypeTF networksFilamentous fungi
2016
PhyloOncology: Understanding cancer through phylogenetic analysis
Somarelli JA, Ware KE, Kostadinov R, Robinson JM, Amri H, Abu-Asab M, Fourie N, Diogo R, Swofford D, Townsend JP. PhyloOncology: Understanding cancer through phylogenetic analysis. Biochimica Et Biophysica Acta (BBA) - Reviews On Cancer 2016, 1867: 101-108. PMID: 27810337, PMCID: PMC9583457, DOI: 10.1016/j.bbcan.2016.10.006.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeSH KeywordsAdaptation, PhysiologicalAlgorithmsAnimalsBiomarkers, TumorCell Transformation, NeoplasticEvolution, MolecularGene Expression Regulation, NeoplasticGenetic FitnessGenetic Predisposition to DiseaseGenomicsHeredityHumansModels, GeneticMutationNeoplasmsPedigreePhenotypePhylogenySignal TransductionSystems BiologyTime FactorsConceptsDr. Robert A. GatenbyGenome-scale dataSystems biology approachPowerful systems biology approachUse of phylogeneticsPhylogenetic analysisBiology approachPhylogenetic applicationsSubclonal evolutionCancer biologyCancer progressionSuite of algorithmsPhylogeneticsCancer data setsCancer samplesImproved therapeutic interventionRobust approachDecades of researchFundamental insightsNew toolBiologyDiverse fieldsGatenbyData setsTherapeutic interventions