Machine learning reveals bilateral distribution of somatic L1 insertions in human neurons and glia
Zhu X, Zhou B, Pattni R, Gleason K, Tan C, Kalinowski A, Sloan S, Fiston-Lavier AS, Mariani J, Petrov D, Barres BA, Duncan L, Abyzov A, Vogel H, Moran J, Vaccarino F, Tamminga C, Levinson D, Urban A. Machine learning reveals bilateral distribution of somatic L1 insertions in human neurons and glia. Nature Neuroscience 2021, 24: 186-196. PMID: 33432196, PMCID: PMC8806165, DOI: 10.1038/s41593-020-00767-4.Peer-Reviewed Original ResearchMeSH KeywordsAdaptor Proteins, Signal TransducingAdultCation Transport ProteinsEmbryonic DevelopmentFemaleGenomeHeLa CellsHigh-Throughput Nucleotide SequencingHumansLong Interspersed Nucleotide ElementsMachine LearningMental DisordersMutagenesis, InsertionalNeurogliaNeuronsPregnancyRetroelementsSchizophreniaConceptsBrain developmentPossible pathological effectsAnatomical distributionBilateral distributionHuman neuronsNervous systemHuman nervous systemNeuropsychiatric diseasesNeuropsychiatric disordersGliaPathological effectsNeuronsSomatic L1 insertionsWhole-genome sequencingHuman brainSomatic retrotransposition