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. 2023 Jun 16;10(1):387.
doi: 10.1038/s41597-023-02293-x.

Single-cell transcriptome dataset of human and mouse in vitro adipogenesis models

Affiliations

Single-cell transcriptome dataset of human and mouse in vitro adipogenesis models

Jiehan Li et al. Sci Data. .

Abstract

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.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
scRNA-Seq of mouse and human adipogenesis. (a) Schematic of the workflow. Human SGBS and mouse 3T3-L1 cells were analyzed at two time points, corresponding to before (D0) and during (D5 for 3T3-L1, D8 for SGBS) adipogenesis. At each time point, live cells were purified using exclusion of propidium iodide-stained cells by FACS. Equal numbers of SGBS and 3T3-L1 cells were then mixed and subjected to microfluidic single-cell capture with GelBeads-in-emulsion (GEMs) using 10X Chromium Controller. Single-cell cDNA libraries were prepared using the Chromium Single Cell 3′ Library & Gel Bead Kit (10X Genomics), followed by sequencing on Illumina HiSeq 4000. Computational analysis involved barcode processing, UMI counting, demultiplexing, gene and cell filtering, normalization, and clustering. (b) Representative light microscopy images of differentiated cells, SGBS at day 8 (D8) and 3T3-L1 at day 5 (D5), show similar pattern of lipid deposition in adipocytes (arrows). Scale bar: 50 µm.
Fig. 2
Fig. 2
Single-cell RNA-Seq dataset quality assessment following inferring the species from transcriptome. (a,b) Plots representing quantification of the alignment of individual cell’s transcriptomes to the human (hg19) and mouse (mm10) genomes at (a) D0 3T3-L1/D0 SGBS, and (b) D5 3T3-L1/D8 SGBS. (c,d) Violin plots of gene counts (nFeature_RNA) and UMI counts (nCount_RNA) after quality control filtering in (c) SGBS cells and (d) 3T3-L1 cells, separated by the day of differentiation.
Fig. 3
Fig. 3
Clustering of scRNA-Seq data in human SGBS cells. (a) Primary component analysis (PCA) plot. (b) UMAP plot. (c) Pseudotime analysis. (d) t-SNE plot. (e) Assignment of cells by differentiation day (D0 vs. D8), superimposed on the t-SNE plot. (f) Heatmap showing the expression of top 10 enriched genes per cell cluster.
Fig. 4
Fig. 4
Clustering of scRNA-Seq data in murine 3T3-L1 cells. (a) Primary component analysis (PCA) plot. (b) UMAP plot. (c) Pseudotime analysis. (d) t-SNE plot. (e) Assignment of cells by differentiation day (D0 vs. D5), superimposed on the t-SNE plot. (f) Heatmap showing the expression of top 10 enriched genes per cell cluster.
Fig. 5
Fig. 5
Feature plots showing the expression of cluster marker genes for individual clusters in human SGBS cells. (a) Cluster 0 (preadipocytes); (b) Cluster 1 (differentiating); (c) Cluster 2 (adipocytes).
Fig. 6
Fig. 6
Feature plots showing the expression of cluster marker genes for individual clusters in mouse 3T3-L1 cells. (a) Cluster 0 (preadipocytes); (b) Cluster 1 (differentiating); (c) Cluster 2 (adipocytes).
Fig. 7
Fig. 7
Venn diagram representation of the number of unique and shared marker genes between SGBS and 3T3-L1 cell lines, separated by cell cluster.

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