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Single-cell transcriptome dataset of human and mouse in vitro adipogenesis models
Adipogenesis is a process in which fat-specific progenitor cells (preadipocytes) differentiate into adipocytes that carry out the key metabolic functions of the adipose tissue, including glucose uptake, energy storage, and adipokine secretion. Several cell lines are routinely used to study the molec...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10275883/ https://www.ncbi.nlm.nih.gov/pubmed/37328521 http://dx.doi.org/10.1038/s41597-023-02293-x |
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author | Li, Jiehan Jin, Christopher Gustafsson, Stefan Rao, Abhiram Wabitsch, Martin Park, Chong Y. Quertermous, Thomas Knowles, Joshua W. Bielczyk-Maczynska, Ewa |
author_facet | Li, Jiehan Jin, Christopher Gustafsson, Stefan Rao, Abhiram Wabitsch, Martin Park, Chong Y. Quertermous, Thomas Knowles, Joshua W. Bielczyk-Maczynska, Ewa |
author_sort | Li, Jiehan |
collection | PubMed |
description | Adipogenesis is a process in which fat-specific progenitor cells (preadipocytes) differentiate into adipocytes that carry out the key metabolic functions of the adipose tissue, including glucose uptake, energy storage, and adipokine secretion. Several cell lines are routinely used to study the molecular regulation of adipogenesis, in particular the immortalized mouse 3T3-L1 line and the primary human Simpson-Golabi-Behmel syndrome (SGBS) line. However, the cell-to-cell variability of transcriptional changes prior to and during adipogenesis in these models is not well understood. Here, we present a single-cell RNA-Sequencing (scRNA-Seq) dataset collected before and during adipogenic differentiation of 3T3-L1 and SGBS cells. To minimize the effects of experimental variation, we mixed 3T3-L1 and SGBS cells and used computational analysis to demultiplex transcriptomes of mouse and human cells. In both models, adipogenesis results in the appearance of three cell clusters, corresponding to preadipocytes, early and mature adipocytes. These data provide a groundwork for comparative studies on these widely used in vitro models of human and mouse adipogenesis, and on cell-to-cell variability during this process. |
format | Online Article Text |
id | pubmed-10275883 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102758832023-06-18 Single-cell transcriptome dataset of human and mouse in vitro adipogenesis models Li, Jiehan Jin, Christopher Gustafsson, Stefan Rao, Abhiram Wabitsch, Martin Park, Chong Y. Quertermous, Thomas Knowles, Joshua W. Bielczyk-Maczynska, Ewa Sci Data Data Descriptor Adipogenesis is a process in which fat-specific progenitor cells (preadipocytes) differentiate into adipocytes that carry out the key metabolic functions of the adipose tissue, including glucose uptake, energy storage, and adipokine secretion. Several cell lines are routinely used to study the molecular regulation of adipogenesis, in particular the immortalized mouse 3T3-L1 line and the primary human Simpson-Golabi-Behmel syndrome (SGBS) line. However, the cell-to-cell variability of transcriptional changes prior to and during adipogenesis in these models is not well understood. Here, we present a single-cell RNA-Sequencing (scRNA-Seq) dataset collected before and during adipogenic differentiation of 3T3-L1 and SGBS cells. To minimize the effects of experimental variation, we mixed 3T3-L1 and SGBS cells and used computational analysis to demultiplex transcriptomes of mouse and human cells. In both models, adipogenesis results in the appearance of three cell clusters, corresponding to preadipocytes, early and mature adipocytes. These data provide a groundwork for comparative studies on these widely used in vitro models of human and mouse adipogenesis, and on cell-to-cell variability during this process. Nature Publishing Group UK 2023-06-16 /pmc/articles/PMC10275883/ /pubmed/37328521 http://dx.doi.org/10.1038/s41597-023-02293-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Li, Jiehan Jin, Christopher Gustafsson, Stefan Rao, Abhiram Wabitsch, Martin Park, Chong Y. Quertermous, Thomas Knowles, Joshua W. Bielczyk-Maczynska, Ewa Single-cell transcriptome dataset of human and mouse in vitro adipogenesis models |
title | Single-cell transcriptome dataset of human and mouse in vitro adipogenesis models |
title_full | Single-cell transcriptome dataset of human and mouse in vitro adipogenesis models |
title_fullStr | Single-cell transcriptome dataset of human and mouse in vitro adipogenesis models |
title_full_unstemmed | Single-cell transcriptome dataset of human and mouse in vitro adipogenesis models |
title_short | Single-cell transcriptome dataset of human and mouse in vitro adipogenesis models |
title_sort | single-cell transcriptome dataset of human and mouse in vitro adipogenesis models |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10275883/ https://www.ncbi.nlm.nih.gov/pubmed/37328521 http://dx.doi.org/10.1038/s41597-023-02293-x |
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