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Overview

Pathological changes in adipose tissue are a major underlying cause of systemic insulin resistance and metabolic syndrome. However, the mechanisms underlying this functional impairment are unknown due to an inability to identify and target dysfunctional adipocytes. Based on our previous work and ongoing projects in the laboratory, we conclude that white and brown adipose tissues are functionally and developmentally diverse and that differences between cell populations within these different depots can be detected at the cell surface. Thus, our primary objective is identifying individual cell populations and signaling pathways responsible for initiating local and subsequent systemic insulin resistance.

Implementation

Python pipeline for analysis and visualization of scRNA-seq data from adolescent (2w) and adult (8w) mice of brown, perigonadal, and subcutaneous adipose depots.

Data and notebooks

All the data and notebooks required for performing temporal integrative genomics analysis and publishing in the reference articles have been deposited in the National Center for Biotechnology Information Gene Expression Omnibus (GEO). They are accessible through the GEO Series accession numbers:

Publication GEO number Notebook
Suwandhi et. al. GSE164350 asc1_white_vs_beige_adipocyte_fate.ipynb
Karlina et. al. GSE161447 brown_adipocytes_subtypes.ipynb
Yan et. al. [GSE...] adipocyte_scRNAseq_imuneCells.ipynb
Altun et. al. [GSE...] igf1_preadipocytes_full_analysis_v0_.ipynb

To access one of the data sets for instance GSE164350 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/tigaR_data_analysis/
cd data/tigaR_data_analysis/
wget ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE78nnn/GSE164350/suppl/GSE164350_RAW.tar
mkdir GSE164350_RAW
tar -C GSE164350_RAW -xvf GSE164350_RAW.tar
gunzip GSE164350_RAW/*_Regional_*

License

scRNAseq_AdipocyteSubtyping repository is distributed under the GPL-3.0 License. Please read the license before using information from the repository distributed in the LICENSE file.

References

Publications:

  • Suwandhi, L., Altun, I., Karlina, R., Miok, V., Wiedemann, T., Fischer, D., Walzthoeni, T., Lindner, C., Böttcher, Anika., Heinzmann, S.S., Israel, A., Khalil, A. E. M. M., Braun, A., Pramme-Steinwachs, I., Burtscher, I., Schmitt-Kopplin, P., Heinig, M., Elsner, M., Lickert, Heiko., Theis, F. J., Ussar, S. (2021), "Asc-1 regulates white versus beige adipocyte fate in a subcutaneous stromal cell population", Nature communications, 12(1), 1-12.

  • Karlina, R., Lutter, D., Miok, V., Fischer, D., Altun, I., Schöttl, T., Schorpp, K., Israel, A., Cero, Cheryl., Johnson, J.W., Kapser-Fischer, I., Böttcher, A., Keipert, S., Feuchtinger, A., Graf, E., Strom, T., Walch, A., Lickert, H., Walzthoeni, T., Heinig, M., Theis, F.J., García-Cáceres, C., Cypess, A.M., Ussar, S. (2021). "Identification and characterization of distinct brown adipocyte subtypes in C57BL/6J mice". Life science alliance, 4(1).

  • Ussar, S., Karlina, R., Lutter, D., Miok, V., Fischer, D., Altun, I., Schöttl, T., Schorpp, K., Israel, A., Cero, Cheryl., Johnson, J.W., Kapser-Fischer, I., Böttcher, A., Keipert, S., Feuchtinger, A., Graf, E., Strom, T., Walch, A., Lickert, H., Walzthoeni, T., Heinig, M., Theis, F.J., García-Cáceres, C., Cypess, A.M., Ussar, S. (2021). "Identification and characterization of distinct murine brown adipocyte lineages". bioRxiv, 4(1).

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Python pipelines for analysis of adipocyte scRNA-seq data

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