Journal article
A molecular census of arcuate hypothalamus and median eminence cell types
Nature neuroscience, Vol.20(3), pp.484-496
03/2017
DOI: 10.1038/nn.4495
PMCID: PMC5323293
PMID: 28166221
Abstract
The hypothalamic arcuate-median eminence complex (Arc-ME) controls energy balance, fertility and growth through molecularly distinct cell types, many of which remain unknown. To catalog cell types in an unbiased way, we profiled gene expression in 20,921 individual cells in and around the adult mouse Arc-ME using Drop-seq. We identify 50 transcriptionally distinct Arc-ME cell populations, including a rare tanycyte population at the Arc-ME diffusion barrier, a new leptin-sensing neuron population, multiple agouti-related peptide (AgRP) and pro-opiomelanocortin (POMC) subtypes, and an orexigenic somatostatin neuron population. We extended Drop-seq to detect dynamic expression changes across relevant physiological perturbations, revealing cell type-specific responses to energy status, including distinct responses in AgRP and POMC neuron subtypes. Finally, integrating our data with human genome-wide association study data implicates two previously unknown neuron populations in the genetic control of obesity. This resource will accelerate biological discovery by providing insights into molecular and cell type diversity from which function can be inferred.
Details
- Title: Subtitle
- A molecular census of arcuate hypothalamus and median eminence cell types
- Creators
- John N Campbell - Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USAEvan Z Macosko - Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USAHenning Fenselau - Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USATune H Pers - Department of Epidemiology Research, Statens Serum Institut, Copenhagen, DenmarkAnna Lyubetskaya - Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USADanielle Tenen - Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USAMelissa Goldman - Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USAAnne M J Verstegen - Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USAJon M Resch - Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USASteven A McCarroll - Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USAEvan D Rosen - Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USABradford B Lowell - Program in Neuroscience, Harvard Medical School, Boston, Massachusetts, USALinus T Tsai - Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
- Resource Type
- Journal article
- Publication Details
- Nature neuroscience, Vol.20(3), pp.484-496
- DOI
- 10.1038/nn.4495
- PMID
- 28166221
- PMCID
- PMC5323293
- NLM abbreviation
- Nat Neurosci
- ISSN
- 1097-6256
- eISSN
- 1546-1726
- Publisher
- United States
- Grant note
- R01 DK096010 / NIDDK NIH HHS R01 DK089044 / NIDDK NIH HHS R01 DK102173 / NIDDK NIH HHS R01 DK102170 / NIDDK NIH HHS P30 DK057521 / NIDDK NIH HHS R37 DK053477 / NIDDK NIH HHS R01 DK111401 / NIDDK NIH HHS R01 DK085171 / NIDDK NIH HHS R01 DK075632 / NIDDK NIH HHS F32 DK103387 / NIDDK NIH HHS P30 DK046200 / NIDDK NIH HHS R25 MH094612 / NIMH NIH HHS R01 DK071051 / NIDDK NIH HHS
- Language
- English
- Date published
- 03/2017
- Academic Unit
- Iowa Neuroscience Institute; Neuroscience and Pharmacology
- Record Identifier
- 9984065855102771
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