mesenchymal stem cell adipocyte differentiation medium  (PromoCell)

Journal: bioRxiv

Article Title: Scalable longitudinal imaging and transcriptomics of cells in dynamic enclosures

doi: 10.64898/2026.05.05.723030

Figure Lengend Snippet: A: UMAP based on transcriptomic data from primary human preadipocytes differentiated for seven days on a fibronectin-coated flow cell. The colors correspond to different clusters based on transcriptomic analysis. B: Transcriptomic UMAP colored by the lipid accumulation score, defined as the ratio between the BODIPY stain and the nuclear stain in each CCE. The insets show examples of cells that are very close in gene expression space but differ in their lipid content. C: violin plots depicting the distribution of lipid accumulation scores (y axis) across the transcriptomic clusters (x axis). D: actual (x axis) vs predicted (y axis) lipid accumulation scores from the elastic net model. The plot is for the held-out test set (20% of the total data). E: Euler diagram showing the overlap between top-20 differentially expressed genes between transcriptomic clusters (blue) and model-selected predictors of lipid accumulation (pink). F: average Log2 fold-change between clusters (x axis) vs absolute model coefficient (y axis) for the genes selected by the model. The red color indicates genes that are among the top-20 differentially expressed genes between transcriptomic clusters. G: Gene expression UMAP colored by the top-3 positive predictors identified by the model, showing that the expression values of these genes are uniformly distributed across the UMAP based on global transcriptomic differences. H: UMAP based on transcriptomic data for BV2 mouse microglial cells. The colors correspond to different clusters based on transcriptomic analysis. I: transcriptomic UMAP colored by phagocytic activity as measured by pHrodo™ intensity after four hours. J: UMAP based on DINOv2 features, colored by phagocytic activity showing a greater degree of separation between high vs low phagocytic scores, compared to the transcriptomic UMAP in panel H. K: violin plots depicting the distribution of phagocytic scores (y axis) across the transcriptomic clusters (x axis). L: R 2 performance of elastic net models trained on expression-only features, DINOv2-only features or a combination of the two (x axis). The data refers to the held-out test set (20% of the total data). M: actual (x axis) vs predicted (y axis) phagocytic scores from the elastic net model using the combined expression and DINOv2 features. The plot is for the held-out test set (20% of the total data). N: Euler plot showing the overlap between top-20 differentially expressed genes between transcriptomic clusters (blue) and model-selected predictors of phagocytic activity (pink). O: average Log2 fold-change between clusters (x axis) vs absolute models coefficient (y axis) for the genes selected by the expression-only model. The red color indicates genes that are among the top-20 differentially expressed genes between transcriptomic clusters. P: ridge plots displaying the expression level (x axis) of Gpnmb and Clec4e across transcriptomic clusters (x axis). These two genes are among the top positive predictors for the gene expression-based model and have clear mechanistic evidence linking them to the phagocytosis process. However, their expression is very similar across all the transcriptomic clusters.

Article Snippet: Adipogenesis was induced using Adipocytes Differentiation Toolkit for Adipose Derived MSCs and Preadipocytes (ATCC, # PCS-500-050).

Techniques: Staining, Gene Expression, Expressing, Activity Assay

Journal: Regenerative Therapy

Article Title: Extracellular vesicles derived from adipose-derived mesenchymal stem/stromal cells prevent synovial inflammation and attenuate cartilage degeneration in rodent osteoarthritis

doi: 10.1016/j.reth.2025.101056

Figure Lengend Snippet: Single-cell RNA sequencing profiling of joint cell populations following extracellular vesicle (EVs) treatment. (a) The UMAP plot displaying the classification of joint cell populations into ten distinct clusters under three conditions: WT, PBS-treated (PBS), and EVs-treated (EVs). ( b ) Cell typing of clusters based on gene expression. Cluster 1 (NK cells), Cluster 2 (T cells), Cluster 3 (pre-B cells), Cluster 4 (Neutrophils), Cluster 5 (B cells), Cluster 6 (Chondrocyte progenitor cells), Cluster 7 (Hematopoietic progenitors), Cluster 8 (Mesenchymal cells), Cluster 9 (Plasma cells), and Cluster 10 (Erythroblasts). ( c ) Heatmap displaying the expression of representative marker genes for each cluster, including Col12a1 for the "Chondrocyte" cluster, and Col1a1 for the "Mesenchymal cell" cluster, and CD45/CD14 for the "Hematopoietic" cluster.

Article Snippet: For adipocyte differentiation, either BioMirai Lab's induction kit or PromoCell's mesenchymal stem cell adipocyte differentiation medium was used, with Oil Red O staining to assess lipid accumulation.

Techniques: RNA Sequencing, Gene Expression, Clinical Proteomics, Expressing, Marker

Journal: Regenerative Therapy

Article Title: Extracellular vesicles derived from adipose-derived mesenchymal stem/stromal cells prevent synovial inflammation and attenuate cartilage degeneration in rodent osteoarthritis

doi: 10.1016/j.reth.2025.101056

Figure Lengend Snippet: Differential gene expression besed on Single-cell RNA sequencing of joint cell clusters following extracellular vesicle (EVs) treatment . ( a-d ) Comparison of gene expression in EVs, PBS, and WT groups (a) in Cluster 6 (chondrocyte progenitors) (COL2A1, COL1A2, PRG4, MMP3, CCL2, and FGF18). ( b ) in Cluster 1 (NK cells) (CD14, MRC1, CD163, CD86, CD80, and NOS2). ( c ) in Cluster 8 (Mesenchymal cells) (COL2A1, COL1A2, PRG4, CCL2, and FGF18) ( d ) in Cluster 4 (Neutrophils) (APOE, AGPAT4, HAPLN1, CDKN1C, MET, and CEMIP2). (e) Flow cytometry analysis confirmed that the proportion of CD11b + CD163 + M2 macrophages was approximately 2.5-fold higher in the EVs-treated group compared to the PBS-treated group.

Article Snippet: For adipocyte differentiation, either BioMirai Lab's induction kit or PromoCell's mesenchymal stem cell adipocyte differentiation medium was used, with Oil Red O staining to assess lipid accumulation.

Techniques: Gene Expression, RNA Sequencing, Comparison, Flow Cytometry