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preadipocytes  (ATCC)


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    ATCC preadipocytes
    A: UMAP based on transcriptomic data from primary human <t>preadipocytes</t> 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.
    Preadipocytes, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 240 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    1) Product Images from "Scalable longitudinal imaging and transcriptomics of cells in dynamic enclosures"

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

    Journal: bioRxiv

    doi: 10.64898/2026.05.05.723030

    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.
    Figure Legend 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.

    Techniques Used: Staining, Gene Expression, Expressing, Activity Assay

    Related Articles

    Cell Culture:

    Article Title: MEST mediates the impact of prenatal bisphenol A exposure on long-term body weight development
    Article Snippet: Human adipose-derived mesenchymal stem cells (MSC; ATCC®, PCS-500-011; #59753760) and culture media were purchased from LGC Standards (Wesel, Germany). .. For adipocyte differentiation MSCs at passage 1–3 were seeded at 9600 cells/cm 2 and were cultured with Adipocyte Differentiation Initiation Medium (ADIM; ATCC Adipocyte Differentiation Toolkit PCS-500-050) for 4 days. .. Thereafter, Adipocyte Maintenance Medium (ADMM; ATCC® Adipocyte Differentiation Toolkit PCS-500-050) was applied for the subsequent 11 days.



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    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.

    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