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Introduction

We provide a detailed multi-omics view of the spatial and temporal changes of different astrocyte populations in response to a high-fat high-sugar diet. Using a combination of proteomics, RNAseq, and scRNAseq data and their integrated analysis, together with in vivo labeling of astrocyte-specific molecular markers, we show that the anatomical location of astrocytes determines the cellular response to exposure to a high-caloric diet. Specifically, our results identify a high sensitivity and strong molecular response of astrocytes located in the arcuate nucleus of the hypothalamus upon exposure to a hypercaloric diet.

Summary of main findings

  • Long-term exposure to a hypercaloric diet differently affects the the transcriptional pattern of astrocytes located in the cortex, hippocampus, and hypothalamus, with the most prominent changes in the proteomic profile of hypothalamic astrocytes.
  • Unlike other cell types in the ARC, astrocytes rapidly respond to a hypercaloric diet with a remarkable, yet transient, transcriptional activation.
  • The number of astrocytes expressing the astrocytic markers Aldh1L1 and GFAP increases upon a high-fat high-sugar (HFHS) diet feeding in a intraregional- and time-dependent manner.
  • The spatial location of Aldh1L1- and GFAP- expressing astrocytes in the ARC undergoes a dynamic reorganization in response to hypercaloric diet.

Overview

Given that the CNS control of metabolism highly depends on functional hypothalamic astrocyte-neuron interactions we find our insights into the rapid and selective changes in astrocytes in response to a hypercaloric diet, before significant changes in body weight, inflammation, and insulin sensitivity, of particular interest. We provide a comprehensive multi-omics data collection on astrocytes and other cell types during different time points of the initial adaptation to a high caloric diet to better understand the cellular circuitries acting in the ARC and their rearrangements in response to the HFHS diet. Of note, our spatial point pattern analysis method advances cell analysis in various disciplines and experimental setups, helping to describe the anatomy at a cellular level.

Data and analysis

All the data required for performing the analysis and publishing in the reference articles will be soon deposited in the National Center for Biotechnology Information Gene Expression Omnibus (GEO) and are accessible through the GEO Series accession numbers:

Data type Link to the data Notebook
Transcriptomics GSE205313 transcriptomics_analysis_v1.ipynb
Proteomics ProtData proteomics_analysis_v1.ipynb
Singel-Cell RNA-Seq GSE205667 astrocyte_scRNAseq_cluster_approach.ipynb
Astrocyte spatial point patterns ASPP_data Csppa_analysis.ipynb

To access one of the data sets for instance GSE78279 you need to run the code below. Unpacking the data requires tar and gunzip, which should already be available on most systems.

cd ../  #To get to the main GitHub repo folder
mkdir -p data/AstrocytesHeterogenityARC/
cd data/AstrocytesHeterogenityARC/
wget ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE78nnn/GSE78279/suppl/GSE78279_RAW.tar
mkdir GSE78279_RAW
tar -C GSE78279_RAW -xvf GSE78279_RAW.tar
gunzip GSE78279_RAW/*_Regional_*

License

AstrocytesHeterogenityARC is distributed under the MIT license. Please read the license before using AstrocytesHeterogenityARC, distributed in the LICENSE file.

References

Publications related to AstrocytesHeterogenityARC include:

Please cite the publication if you use AstrocytesHeterogenityARC.