期刊
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
卷 117, 期 25, 页码 13886-13895出版社
NATL ACAD SCIENCES
DOI: 10.1073/pnas.2006163117
关键词
PRDD-seq; single-cell MosaicHunter; birthdating; cortical layer; neurodevelopment
资金
- Stuart H. Q. and Victoria Quan Fellowship in Neurobiology
- Harvard/MIT MD-PhD program [T32GM007753]
- National Institute on Aging [K01AG051791]
- Suh Kyungbae Foundation
- Allen Discovery Center program through The Paul G. Allen Frontiers Group
- Manton Center for Orphan Disease Research
- National Institute of Neurological Disorders and Stroke [R01NS032457]
- National Institute of Mental Health [U01MH106883]
Elucidating the lineage relationships among different cell types is key to understanding human brain development. Here we de- veloped parallel RNA and DNA analysis after deep sequencing (PRDD-seq), which combines RNA analysis of neuronal cell types with analysis of nested spontaneous DNA somatic mutations as cell lineage markers, identified from joint analysis of single -cell and bulk DNA sequencing by single -cell MosaicHunter (scMH). PRDD-seq enables simultaneous reconstruction of neuronal cell type, cell lineage, and sequential neuronal formation ( ?birthdate ?) in postmortem human cerebral cortex. Analysis of two human brains showed remarkable quantitative details that relate muta- tion mosaic frequency to clonal patterns, confirming an early di- vergence of precursors for excitatory and inhibitory neurons, and an ?inside -out ? layer formation of excitatory neurons as seen in other species. In addition our analysis allows an estimate of excit- atory neuron -restricted precursors (about 10) that generate the excitatory neurons within a cortical column. Inhibitory neurons showed complex, subtype -specific patterns of neurogenesis, in- cluding some patterns of development conserved relative to mouse, but also some aspects of primate cortical interneuron de- velopment not seen in mouse. PRDD-seq can be broadly applied to characterize cell identity and lineage from diverse archival samples with single -cell resolution and in potentially any developmental or disease condition.
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