Campbell John N, Macosko Evan Z, Fenselau Henning, Pers Tune H, Lyubetskaya Anna, Tenen Danielle, Goldman Melissa, Verstegen Anne M J, Resch Jon M, McCarroll Steven A, Rosen Evan D, Lowell Bradford B, Tsai Linus T
Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA.
Nat Neurosci. 2017 Mar;20(3):484-496. doi: 10.1038/nn.4495. Epub 2017 Feb 6.
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.
下丘脑弓状核 - 正中隆起复合体(Arc - ME)通过分子特征不同的细胞类型控制能量平衡、生育能力和生长,其中许多细胞类型仍不为人知。为了以无偏见的方式对细胞类型进行分类,我们使用Drop - seq技术分析了成年小鼠Arc - ME及其周围20921个单个细胞中的基因表达。我们鉴定出50个转录特征不同的Arc - ME细胞群,包括Arc - ME扩散屏障处的一种罕见的伸长细胞群、一个新的瘦素感应神经元群、多个刺鼠相关肽(AgRP)和阿黑皮素原(POMC)亚型,以及一个促食欲的生长抑素神经元群。我们扩展了Drop - seq技术以检测相关生理扰动下的动态表达变化,揭示了细胞类型对能量状态的特异性反应,包括AgRP和POMC神经元亚型的不同反应。最后,将我们的数据与人类全基因组关联研究数据相结合,发现了两个先前未知的神经元群与肥胖的遗传控制有关。该资源将通过深入了解分子和细胞类型多样性(从中可以推断功能)来加速生物学发现。