2023
High-throughput functional analysis of autism genes in zebrafish identifies convergence in dopaminergic and neuroimmune pathways
Mendes H, Neelakantan U, Liu Y, Fitzpatrick S, Chen T, Wu W, Pruitt A, Jin D, Jamadagni P, Carlson M, Lacadie C, Enriquez K, Li N, Zhao D, Ijaz S, Sakai C, Szi C, Rooney B, Ghosh M, Nwabudike I, Gorodezky A, Chowdhury S, Zaheer M, McLaughlin S, Fernandez J, Wu J, Eilbott J, Vander Wyk B, Rihel J, Papademetris X, Wang Z, Hoffman E. High-throughput functional analysis of autism genes in zebrafish identifies convergence in dopaminergic and neuroimmune pathways. Cell Reports 2023, 42: 112243. PMID: 36933215, PMCID: PMC10277173, DOI: 10.1016/j.celrep.2023.112243.Peer-Reviewed Original ResearchConceptsGene lossFunctional analysisHigh-throughput functional analysisZebrafish mutantsGene discoverySelect mutantsASD genesAutism genesKey pathwaysASD biologyBrain size differencesMutantsGenesSize differencesPathwayGlobal increaseRelevant mechanismsBiologyCentral challengeNeuroimmune dysfunctionRegionFunctionDiscoveryAutism spectrum disorder
2017
Characteristics of allelic gene expression in human brain cells from single-cell RNA-seq data analysis
Zhao D, Lin M, Pedrosa E, Lachman HM, Zheng D. Characteristics of allelic gene expression in human brain cells from single-cell RNA-seq data analysis. BMC Genomics 2017, 18: 860. PMID: 29126398, PMCID: PMC5681780, DOI: 10.1186/s12864-017-4261-x.Peer-Reviewed Original ResearchConceptsMonoallelic expressionHuman brain cellsGene expressionMonoallelic gene expressionAllelic gene expressionGenome-wide levelSingle-cell RNA-seq datasetsRNA-seq data analysisAllelic expression studiesSingle-cell RNA-seq data analysisRNA-seq datasetsSingle nucleotide variantsBrain cellsCellular identityAutosomal genesNeuronal diversityExpression studiesNucleotide variantsCorrelated expressionGenesIndividual cellsHuman psychiatric disordersNeuronal cellsSingle cellsCell function