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Science· 2018Q1

Molecular, spatial, and functional single-cell profiling of the hypothalamic preoptic region

Jeffrey R. Moffitt, Dhananjay Bambah-Mukku, Stephen W. Eichhorn, Eric Vaughn et al.

Short summary

Researchers have created a high-resolution, spatially mapped atlas of the mouse hypothalamic preoptic region by profiling nearly 1 million cells, identifying ~70 distinct neuronal populations.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Developed a new imaging-based method for in situ cell-type identification and mapping.
  • Created a spatially resolved cell atlas of the mouse hypothalamic preoptic region.
  • Profiled ~1 million cells, identifying ~70 neuronal populations with distinct neuromodulatory signatures.
  • Defined specific neuronal populations activated during social behaviors in male and female mice.

AI-generated from the title and abstract; the full text is not read.

Abstract

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.

The authors' abstract, as published at the source. Science, 2018 · DOI ↗

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Field: Endocrine and Autonomic Systems

Endocrine and Autonomic SystemsNeuroscience