Molecular, spatial, and functional single-cell profiling of the hypothalamic preoptic region
Author(s) -
Jeffrey R. Moffitt,
Dhananjay Bambah-Mukku,
Stephen W. Eichhorn,
Eric Vaughn,
Karthik Shekhar,
J. Pérez,
Nimrod D. Rubinstein,
Junjie Hao,
Aviv Regev,
Catherine Dulac,
Xiaowei Zhuang
Publication year - 2018
Publication title -
science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 12.556
H-Index - 1186
eISSN - 1095-9203
pISSN - 0036-8075
DOI - 10.1126/science.aau5324
Subject(s) - profiling (computer programming) , preoptic area , hypothalamus , biology , neuroscience , computational biology , computer science , operating system
The hypothalamus controls essential social behaviors and homeostatic functions. However, the cellular architecture of hypothalamic nuclei-including the molecular identity, spatial organization, and function of distinct cell types-is poorly understood. Here, we developed an imaging-based in situ cell-type identification and mapping method and combined it with single-cell RNA-sequencing to create a molecularly annotated and spatially resolved cell atlas of the mouse hypothalamic preoptic region. We profiled ~1 million cells, identified ~70 neuronal populations characterized by distinct neuromodulatory signatures and spatial organizations, and defined specific neuronal populations activated during social behaviors in male and female mice, providing a high-resolution framework for mechanistic investigation of behavior circuits. The approach described opens a new avenue for the construction of cell atlases in diverse tissues and organisms.
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