@article {67815, title = {EASI-FISH for thick tissue defines lateral hypothalamus spatio-molecular organization.}, journal = {Cell}, volume = {184}, year = {2021}, month = {2021 Dec 01}, pages = {6361}, abstract = {

Determining the spatial organization and morphological characteristics of molecularly defined cell types is a major bottleneck for characterizing the architecture underpinning brain function. We developed Expansion-Assisted Iterative Fluorescence In Situ Hybridization (EASI-FISH) to survey gene expression in brain tissue, as well as a turnkey computational pipeline to rapidly process large EASI-FISH image datasets. EASI-FISH was optimized for thick brain sections (300\ μm) to facilitate reconstruction of spatio-molecular domains that generalize across brains. Using the EASI-FISH pipeline, we investigated the spatial distribution of dozens of molecularly defined cell types in the lateral hypothalamic area (LHA), a brain region with poorly defined anatomical organization. Mapping cell types in the LHA revealed nine spatially and molecularly defined subregions. EASI-FISH also facilitates iterative reanalysis of scRNA-seq datasets to determine marker-genes that further dissociated spatial and morphological heterogeneity. The EASI-FISH pipeline democratizes mapping molecularly defined cell types, enabling discoveries about brain organization.

}, issn = {1097-4172}, doi = {10.1016/j.cell.2021.11.024}, author = {Wang, Yuhan and Eddison, Mark and Fleishman, Greg and Weigert, Martin and Xu, Shengjin and Wang, Tim and Rokicki, Konrad and Goina, Cristian and Henry, Fredrick E and Lemire, Andrew L and Schmidt, Uwe and Yang, Hui and Svoboda, Karel and Myers, Eugene W and Saalfeld, Stephan and Korff, Wyatt and Sternson, Scott M and Tillberg, Paul W} } @article {65798, title = {Behavioral state coding by molecularly defined paraventricular hypothalamic cell type ensembles.}, journal = {Science}, volume = {370}, year = {2020}, month = {2020 Oct 16}, abstract = {

Brains encode behaviors using neurons amenable to systematic classification by gene expression. The contribution of molecular identity to neural coding is not understood because of the challenges involved with measuring neural dynamics and molecular information from the same cells. We developed CaRMA (calcium and RNA multiplexed activity) imaging based on recording in vivo single-neuron calcium dynamics followed by gene expression analysis. We simultaneously monitored activity in hundreds of neurons in mouse paraventricular hypothalamus (PVH). Combinations of cell-type marker genes had predictive power for neuronal responses across 11 behavioral states. The PVH uses combinatorial assemblies of molecularly defined neuron populations for grouped-ensemble coding of survival behaviors. The neuropeptide receptor neuropeptide Y receptor type 1 (Npy1r) amalgamated multiple cell types with similar responses. Our results show that molecularly defined neurons are important processing units for brain function.

}, issn = {1095-9203}, doi = {10.1126/science.abb2494}, author = {Xu, Shengjin and Yang, Hui and Menon, Vilas and Lemire, Andrew L and Wang, Lihua and Henry, Fredrick E and Turaga, Srinivas C and Sternson, Scott M} } @article {47033, title = {Cell type-specific transcriptomics of hypothalamic energy-sensing neuron responses to weight-loss.}, journal = {eLife}, volume = {4}, year = {2015}, month = {2015 Sep 2}, abstract = {

Molecular and cellular processes in neurons are critical for sensing and responding to energy deficit states, such as during weight-loss. AGRP neurons are a key hypothalamic population that is activated during energy deficit and increases appetite and weight-gain. Cell type-specific transcriptomics can be used to identify pathways that counteract weight-loss, and here we report high-quality gene expression profiles of AGRP neurons from well-fed and food-deprived young adult mice. For comparison, we also analyzed POMC neurons, an intermingled population that suppresses appetite and body weight. We find that AGRP neurons are considerably more sensitive to energy deficit than POMC neurons. Furthermore, we identify cell type-specific pathways involving endoplasmic reticulum-stress, circadian signaling, ion channels, neuropeptides, and receptors. Combined with methods to validate and manipulate these pathways, this resource greatly expands molecular insight into neuronal regulation of body weight, and may be useful for devising therapeutic strategies for obesity and eating disorders.

}, issn = {2050-084X}, doi = {10.7554/eLife.09800}, author = {Henry, Fredrick E and Sugino, Ken and Tozer, Adam and Branco, Tiago and Sternson, Scott M} } @article {47263, title = {An emerging technology framework for the neurobiology of appetite.}, journal = {Cell Metabolism}, volume = {23}, year = {2015}, month = {2015 Dec 24}, pages = {234-53}, abstract = {

Advances in neuro-technology for mapping, manipulating, and monitoring molecularly defined cell types are rapidly advancing insight into neural circuits that regulate appetite. Here, we review these important tools and their applications in circuits that control food seeking and consumption. Technical capabilities provided by these tools establish a rigorous experimental framework for research into the neurobiology of hunger.

}, doi = {10.1016/j.cmet.2015.12.002}, author = {Sternson, Scott M and Atasoy, Deniz and Betley, J Nicholas and Henry, Fredrick E and Xu, Sheng-jin} }