2024
Identifying topologically associating domains using differential kernels
Maisuradze L, King M, Surovtsev I, Mochrie S, Shattuck M, O’Hern C. Identifying topologically associating domains using differential kernels. PLOS Computational Biology 2024, 20: e1012221. PMID: 39008525, PMCID: PMC11249266, DOI: 10.1371/journal.pcbi.1012221.Peer-Reviewed Original ResearchConceptsTopologically associating domainsHi-C mapsFalse discovery rateChromatin conformation capture techniquesEnhancer-promoter interactionsLow false discovery rateSelf-interacting regionsStructure of chromatinRegulate gene expressionAverage contact probabilitiesHi-CLocus IDNA transcriptionGene expressionChromatinDiscovery rateContact probabilityBiological phenomenaState-of-the-artKernel-based techniqueComputer visionReplicationCorrelated changesDisease statesCapture techniques
2018
Integration of Biochemical and Mechanical Signals at the Nuclear Periphery: Impacts on Skin Development and Disease
Stewart R, King M, Horsley V. Integration of Biochemical and Mechanical Signals at the Nuclear Periphery: Impacts on Skin Development and Disease. Stem Cell Biology And Regenerative Medicine 2018, 263-292. DOI: 10.1007/978-3-319-16769-5_11.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsNuclear laminaIntegral inner nuclear membrane proteinsInner nuclear membrane proteinSkin developmentMechanical signalsNuclear membrane proteinsInner nuclear membraneIntegration of biochemicalGenome integrityNuclear peripheryTranscriptional outputNuclear laminsAssociated chromatinMembrane proteinsNuclear interiorTissue-level mechanicsGene expressionNuclear membraneSkin homeostasisKeratinocyte differentiationMechanical inputChromatinLaminsLaminaProtein