Using a comprehensive atlas and predictive models to reveal the complexity and evolution of brain-active regulatory elements
Pratt H, Andrews G, Shedd N, Phalke N, Li T, Pampari A, Jensen M, Wen C, Consortium P, Gandal M, Geschwind D, Gerstein M, Moore J, Kundaje A, Colubri A, Weng Z. Using a comprehensive atlas and predictive models to reveal the complexity and evolution of brain-active regulatory elements. Science Advances 2024, 10: eadj4452. PMID: 38781344, PMCID: PMC11114231, DOI: 10.1126/sciadv.adj4452.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBrainEpigenesis, GeneticEvolution, MolecularGene Expression RegulationHumansMental DisordersNeuronsRegulatory Elements, TranscriptionalRegulatory Sequences, Nucleic AcidTranscription FactorsConceptsEpigenetic dataCell-type-specific gene regulationCis-regulatory elementsComprehensive atlasGenetic variants associated with psychiatric disordersLineage-specific transcription factorsBrain cell typesMammalian elementsPsychENCODE ConsortiumNoncoding regionsEvolutionary historyGene regulationRegulatory elementsSequence mutationsTranscription factorsSequence syntaxRegulatory informationPrimate-specific sequencesBinding sitesHuman traitsCell typesFunctional implicationsPsychiatric disordersSequenceFetal brain development