# A three dimensional multimodal cellular connectivity atlas of the mouse hypothalamus

> **NIH NIH R01** · UNIVERSITY OF CALIFORNIA LOS ANGELES · 2023 · $652,246

## Abstract

Project Summary/Abstract
The mammalian hypothalamus plays a critical role in behaviors essential for survival. The lateral hypothalamic
area (LHA) occupies 55% of the hypothalamus and contains diverse neuron types, yet remains an
undifferentiated region in mouse atlases. Much remains unknown about its structural and functional organization
at the regional, cell-type specific, and individual neuron scales. Further, the hypothalamus is structurally and
functionally sexually dimorphic, yet differentiated brain atlases for the sexes is absent. We hypothesize that
multiscale heterogeneity of LHA structural organization underlies the specificity and properties of its cell type-
specific circuit functional organization. We will investigate this using established and innovative approaches to
correlate and synthesize molecular, cellular, and circuit-level LHA data into a multimodal, multiscale LHA
reference atlas. In Aim 1, we will construct a multiscale, multimodal, 3D reference atlas of the male and female
mouse hypothalamus based on the cyto- and chemoarchitecture of the LHA (Aim 1a). These volumetric 3D
lightsheet data will be registered to the Allen CCF and structural delineations will be conducted using a novel
cloud-based 3D approach. In Aim 1b, we will use our connectivity-based parcellation strategy to refine the
delineation of the LHA at a much higher granularity based on the systematic analysis of >300 sets of pre-collected
neural pathways and additional connectivity data collected via conditional (Cre-dependent) viral pathway tracing
methods. The refined parcellation of LHA subdivisions will be validated by investigating specificities of their
input/output organization. In Aim 2, we will systematically investigate LHA molecular diversity and network
organization across meso- and microscale resolutions. First, for each LHA subdivision, we will investigate the
molecular identities of target-specific GABA and GLU projection neurons by combining retrograde pathway
labeling with RNAscope or HiPlex RNAscope (Aim 2a). Then, for these target-specific GABA & GLU neuron
types, we will systematically examine their axon collateralizations (Aim 2b) and neural inputs (Aim 2c) using a 2-
way viral labeling method in Vgat-Cre and Vglut2-Cre knock-in mice. Finally, in Aim 2d, by combining a novel
genetic sparse labeling method (MORF) with brain clearing, 3D microscopic imaging, and computational
reconstruction algorithms, we will reconstruct the fine detailed single neuron morphology (dendrites and axons)
of >2000 GABA and GLU neurons in male and female LHA. All of the data will be registered into the newly
constructed 3D hypothalamic atlas (Aim 1) within the CCF to construct an unprecedentedly comprehensive
cellular atlas of the male and female hypothalamus. In Aim 3, we will establish a computational platform and a
specialized computational infrastructure for (1) circuit, neuronal, and synaptic reconstruction, annotation, and
error correction validated with ...

## Key facts

- **NIH application ID:** 10719606
- **Project number:** 1R01NS133744-01
- **Recipient organization:** UNIVERSITY OF CALIFORNIA LOS ANGELES
- **Principal Investigator:** Hong-Wei Dong
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2023
- **Award amount:** $652,246
- **Award type:** 1
- **Project period:** 2023-07-15 → 2028-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10719606

## Citation

> US National Institutes of Health, RePORTER application 10719606, A three dimensional multimodal cellular connectivity atlas of the mouse hypothalamus (1R01NS133744-01). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10719606. Licensed CC0.

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