4.7 Article

A molecular census of arcuate hypothalamus and median eminence cell types

Journal

NATURE NEUROSCIENCE
Volume 20, Issue 3, Pages 484-496

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/nn.4495

Keywords

-

Categories

Funding

  1. US National Institutes of Health [R01 DK096010, R01 DK089044, R01 DK071051, R01 DK075632, R37 DK053477, P30 DK057521, R01 DK102170, R01 DK085171, R01 DK102173, P30 DK046200, 2P30DK057521-16, F32 DK103387]
  2. Department of Defense [W81XWH-15-1-0251]
  3. American Heart Association [14POST20100011]
  4. Lundbeck Foundation
  5. Benzon Foundation
  6. Stanley Center for Psychiatric Research
  7. Stanley-MGH Fellowship in Psychiatric Neuroscience
  8. Lundbeck Foundation [R190-2014-3904] Funding Source: researchfish
  9. NNF Center for Basic Metabolic Research [Pers Group] Funding Source: researchfish
  10. Novo Nordisk Fonden [NNF16OC0021496] Funding Source: researchfish

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available