| Field |
Value |
| Identifier |
nemo:dat-917e9vs |
| Dataset Name |
Single-cell genomics reveals region-specific developmental trajectories underlying neuronal diversity in the human hypothalamus |
| Version |
NA |
| Release Date |
NA |
| DOI |
NA |
| Source Data URL |
This dataset has open and restricted access data. The open access data can be accessed using downloadable paths in the bdbag. We are in the process of organizing restricted data for access approval requests via NDA. Once that is complete, please follow instructions for controlled access requests available at https://nemoarchive.org/resources/accessing-controlled-access-data.php |
| Dataset Collection URL |
https://data.nemoarchive.org/publication_release/Herb_SAment_Transcriptomic_Hypothalamus_2023.tgz |
| Description |
The development and diversity of neuronal subtypes in the human hypothalamus has been insufficiently characterized. We sequenced the transcriptomes of 40,927 cells from the prenatal human hypothalamus spanning from 6 to 25 gestational weeks and 25,424 mature neurons in regions of the adult human hypothalamus, revealing a temporal trajectory from proliferative stem cell populations to mature neurons and glia. Developing hypothalamic neurons followed branching trajectories leading to 170 transcriptionally distinct neuronal subtypes in ten hypothalamic nuclei in the adult. The uniqueness of hypothalamic neuronal lineages was examined developmentally by comparing excitatory lineages present in cortex and inhibitory lineages in ganglionic eminence from the same individuals, revealing both distinct and shared drivers of neuronal maturation across the human forebrain. Cross-species comparisons to the mouse hypothalamus identified human-specific POMC populations expressing unique combinations of transcription factors and neuropeptides. These results provide the first comprehensive transcriptomic view of human hypothalamus development at cellular resolution. |
| Keywords |
NA |
| Total Files in Collection |
367 |
| Total Size in Collection (in GB) |
1148.2 |
| Authors |
Brian R. Herb, Hannah J. Glover, Aparna Bhaduri, Carlo Colantuoni, Tracy L. Bale, Kimberly Siletti, Sten Linnarsson, Rebecca Hodge, Ed Lein, Arnold R. Kriegstein, Claudia A. Doege, Seth A. Ament |
| Organization |
Institute for Genome Sciences, University of Maryland Baltimore School of Medicine |
| Contact Person |
Seth Ament |
| Contact E-Mail |
SAment@som.umaryland.edu |
| External Identifier |
|
| Grant Name |
NA |
| Consortium |
BICCN |
| Data Repository |
NeMO |
| Data Repository RRID |
RRID:SCR_016152 |
| Data License |
Public data available under CC BY 4.0; controlled access data subject to data use certification |
| Data Access |
https://biccn.org/terms-of-use |
| Community Standards |
https://biccn.org/standards |
| Study Organism |
human |
| Protocol ID |
NA |
