ID
45887
Description
Principal Investigator: Arnold Kriegstein, MD, PhD, Developmental and Stem Cell Biology Program, School of Medicine, University of California, San Francisco, CA, USA MeSH: Stem cells, neural,Cerebral Cortex https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000989 We sought to characterize cellular heterogeneity in the human cerebral cortex at a molecular level during cortical neurogenesis. We captured single cells and generated sequencing libraries using the C1TM Single-Cell Auto Prep System (Fluidigm), the SMARTer Ultra Low RNA Kit (Clontech), and the Nextera XT DNA Sample Preparation Kit (Illumina). We performed unbiased clustering of the single cells and further examined transcriptional variation among cell groups interpreted as radial glia. Within this population, the major sources of variation related to cell cycle progression and the stem cell niche from which radial glia were captured. We found that outer subventricular zone radial glia (oRG cells) preferentially express genes related to extracellular matrix formation, migration, and stemness, including *TNC*, *PTPRZ1*, *FAM107A*, *HOPX*, and *LIFR* and related this transcriptional state to the position, morphology, and cell behaviors previously used to classify the cell type. Our results suggest that oRG cells maintain the subventricular niche through local production of growth factors, potentiation of growth factor signals by extracellular matrix proteins, and activation of self-renewal pathways, thereby contributing to the developmental and evolutionary expansion of the human neocortex. For *study version 2*, we have updated this data set to include additional primary cells that we infer to represent microglia, endothelial cells, and immature astrocytes, as well as additional cells from the developing neural retina, and from iPS-cell derived cerebral organoids. The genes distinguishing these cell populations may reveal biological processes supporting the diverse functions of these cell types as well as vulnerabilities of specific cell types in human genetic diseases and in viral infections. For *study version 3*, we have updated the data set to include additional primary cells, including those published in Nowakowski, et al. (2017). For *study version 4*, we have performed parallel analyses of transcriptomes and physiological responses of 476 single cells isolated from developing human cortex. As a result, we were able to identify physiological response profiles of specific progenitor and neuronal cell types during human cortical development.
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- 11/25/23 11/25/23 - Simon Heim
Copyright Holder
Arnold Kriegstein, MD, PhD, Developmental and Stem Cell Biology Program, School of Medicine, University of California, San Francisco, CA, USA
Uploaded on
November 25, 2023
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License
Creative Commons BY 4.0
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dbGaP phs000989 Study of Human Developmental Neurogenesis
This subject consent data table contains subject IDs and consent group information.
- StudyEvent: SEV1
- This subject consent data table contains subject IDs and consent group information.
- This subject sample mapping data table includes a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs.
- This subject phenotypes data table includes estimated age in weeks or gestational week of subjects.
- This sample attributes table includes the body site where samples were collected, analyte type, tumor status, and the cell or tissue type or subtype of sample.
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This subject consent data table contains subject IDs and consent group information.
- StudyEvent: SEV1
- This subject consent data table contains subject IDs and consent group information.
- This subject sample mapping data table includes a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs.
- This subject phenotypes data table includes estimated age in weeks or gestational week of subjects.
- This sample attributes table includes the body site where samples were collected, analyte type, tumor status, and the cell or tissue type or subtype of sample.