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asc52telo  (ATCC)


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    ATCC asc52telo
    The Impact of K9-MILo on the differentiation potential of <t>ASC52telo</t> cells. (a) Schematic representation of K9-MILo vector. (b) AlphaFold3-predicted structural model of K9-MILo. (c) RT-qPCR analysis of K9-MILo and endogenous MPP8 expression levels on day 0 of differentiation, normalized to RPLP0. Data are represented as Boxplot, n = 3, Mann–Whitney U test, * marks statistically significant differences (p < 0, 05) between ASC52telo versus the corresponding expression in ASC52telo-K9-MILo cells. (d) Differentiation of ASC52telo-K9-MILo cell line into osteocytes and adipocytes, right: Alizarin red staining of calcium deposits (red color); middle and left: Nile red staining of accumulated lipids (green fluorescence). Scale bar: 1,000 μm. (e) Quantification of differentiation efficiency. Top: Osteogenic differentiation was assessed by calculating the ratio of Alizarin Red S-positive pixels to total pixels in RGB images. Center and bottom: Adipogenic differentiation efficiency was evaluated by manual counting of cells containing lipid droplets within a 200 μm 2 area using ImageJ 1.54p (n = 4).
    Asc52telo, supplied by ATCC, used in various techniques. Bioz Stars score: 96/100, based on 247 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/htert+asc52telo/pmc13278876-157-6-8?v=ATCC
    Average 96 stars, based on 247 article reviews
    asc52telo - by Bioz Stars, 2026-08
    96/100 stars

    Images

    1) Product Images from "Live monitoring uncovers divergent epigenetic remodeling during osteogenic and adipogenic differentiation of mesenchymal stem cells"

    Article Title: Live monitoring uncovers divergent epigenetic remodeling during osteogenic and adipogenic differentiation of mesenchymal stem cells

    Journal: Frontiers in Cell and Developmental Biology

    doi: 10.3389/fcell.2026.1823110

    The Impact of K9-MILo on the differentiation potential of ASC52telo cells. (a) Schematic representation of K9-MILo vector. (b) AlphaFold3-predicted structural model of K9-MILo. (c) RT-qPCR analysis of K9-MILo and endogenous MPP8 expression levels on day 0 of differentiation, normalized to RPLP0. Data are represented as Boxplot, n = 3, Mann–Whitney U test, * marks statistically significant differences (p < 0, 05) between ASC52telo versus the corresponding expression in ASC52telo-K9-MILo cells. (d) Differentiation of ASC52telo-K9-MILo cell line into osteocytes and adipocytes, right: Alizarin red staining of calcium deposits (red color); middle and left: Nile red staining of accumulated lipids (green fluorescence). Scale bar: 1,000 μm. (e) Quantification of differentiation efficiency. Top: Osteogenic differentiation was assessed by calculating the ratio of Alizarin Red S-positive pixels to total pixels in RGB images. Center and bottom: Adipogenic differentiation efficiency was evaluated by manual counting of cells containing lipid droplets within a 200 μm 2 area using ImageJ 1.54p (n = 4).
    Figure Legend Snippet: The Impact of K9-MILo on the differentiation potential of ASC52telo cells. (a) Schematic representation of K9-MILo vector. (b) AlphaFold3-predicted structural model of K9-MILo. (c) RT-qPCR analysis of K9-MILo and endogenous MPP8 expression levels on day 0 of differentiation, normalized to RPLP0. Data are represented as Boxplot, n = 3, Mann–Whitney U test, * marks statistically significant differences (p < 0, 05) between ASC52telo versus the corresponding expression in ASC52telo-K9-MILo cells. (d) Differentiation of ASC52telo-K9-MILo cell line into osteocytes and adipocytes, right: Alizarin red staining of calcium deposits (red color); middle and left: Nile red staining of accumulated lipids (green fluorescence). Scale bar: 1,000 μm. (e) Quantification of differentiation efficiency. Top: Osteogenic differentiation was assessed by calculating the ratio of Alizarin Red S-positive pixels to total pixels in RGB images. Center and bottom: Adipogenic differentiation efficiency was evaluated by manual counting of cells containing lipid droplets within a 200 μm 2 area using ImageJ 1.54p (n = 4).

    Techniques Used: Plasmid Preparation, Quantitative RT-PCR, Expressing, MANN-WHITNEY, Staining, Fluorescence

    Experimental and analytical pipeline for tracking heterochromatin dynamics during MSC differentiation. (a) Experimental workflow (left). A stable ASC52telo-MSC line constitutively expressing K9-MILo (generated via lentiviral transduction and bulk FACS sorting) is differentiated toward adipogenic or osteogenic lineages for up to 13 days. Every 48 h, live cells are imaged by widefield fluorescence microscopy (green channel). Automated XY positioning captures the same fields of view across all time points. Representative images show the nuclear distribution of H3K9me3 as a punctate heterochromatin pattern. (b) Analytical pipeline (right). Acquired nuclear images undergo segmentation. For each nucleus, 98 features are extracted (Haralick texture features, TAS, Zernike moments, chromatin distribution statistics). Feature vectors are averaged across 40 nuclei per condition per time point, then subjected to PCA. PC1 and PC2 are used to generate scatter plots revealing clustering of heterochromatin states.
    Figure Legend Snippet: Experimental and analytical pipeline for tracking heterochromatin dynamics during MSC differentiation. (a) Experimental workflow (left). A stable ASC52telo-MSC line constitutively expressing K9-MILo (generated via lentiviral transduction and bulk FACS sorting) is differentiated toward adipogenic or osteogenic lineages for up to 13 days. Every 48 h, live cells are imaged by widefield fluorescence microscopy (green channel). Automated XY positioning captures the same fields of view across all time points. Representative images show the nuclear distribution of H3K9me3 as a punctate heterochromatin pattern. (b) Analytical pipeline (right). Acquired nuclear images undergo segmentation. For each nucleus, 98 features are extracted (Haralick texture features, TAS, Zernike moments, chromatin distribution statistics). Feature vectors are averaged across 40 nuclei per condition per time point, then subjected to PCA. PC1 and PC2 are used to generate scatter plots revealing clustering of heterochromatin states.

    Techniques Used: Expressing, Generated, Transduction, Fluorescence, Microscopy

    Evaluation of indomethacin impact on adipogenic differentiation of ASC52telo-K9-MILo. (a) Main signalling components in adipogenic differentiation, classical components of the differentiation cocktail are shown as dark green. (b) Adipogenic differentiation of ASC52telo, Nile red staining of accumulated lipids (green fluorescence) . (c) Principal component analysis of adipogenic differentiation in the presence and absence of indomethacin.
    Figure Legend Snippet: Evaluation of indomethacin impact on adipogenic differentiation of ASC52telo-K9-MILo. (a) Main signalling components in adipogenic differentiation, classical components of the differentiation cocktail are shown as dark green. (b) Adipogenic differentiation of ASC52telo, Nile red staining of accumulated lipids (green fluorescence) . (c) Principal component analysis of adipogenic differentiation in the presence and absence of indomethacin.

    Techniques Used: Staining, Fluorescence



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    The Impact of K9-MILo on the differentiation potential of <t>ASC52telo</t> cells. (a) Schematic representation of K9-MILo vector. (b) AlphaFold3-predicted structural model of K9-MILo. (c) RT-qPCR analysis of K9-MILo and endogenous MPP8 expression levels on day 0 of differentiation, normalized to RPLP0. Data are represented as Boxplot, n = 3, Mann–Whitney U test, * marks statistically significant differences (p < 0, 05) between ASC52telo versus the corresponding expression in ASC52telo-K9-MILo cells. (d) Differentiation of ASC52telo-K9-MILo cell line into osteocytes and adipocytes, right: Alizarin red staining of calcium deposits (red color); middle and left: Nile red staining of accumulated lipids (green fluorescence). Scale bar: 1,000 μm. (e) Quantification of differentiation efficiency. Top: Osteogenic differentiation was assessed by calculating the ratio of Alizarin Red S-positive pixels to total pixels in RGB images. Center and bottom: Adipogenic differentiation efficiency was evaluated by manual counting of cells containing lipid droplets within a 200 μm 2 area using ImageJ 1.54p (n = 4).
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    The Impact of K9-MILo on the differentiation potential of <t>ASC52telo</t> cells. (a) Schematic representation of K9-MILo vector. (b) AlphaFold3-predicted structural model of K9-MILo. (c) RT-qPCR analysis of K9-MILo and endogenous MPP8 expression levels on day 0 of differentiation, normalized to RPLP0. Data are represented as Boxplot, n = 3, Mann–Whitney U test, * marks statistically significant differences (p < 0, 05) between ASC52telo versus the corresponding expression in ASC52telo-K9-MILo cells. (d) Differentiation of ASC52telo-K9-MILo cell line into osteocytes and adipocytes, right: Alizarin red staining of calcium deposits (red color); middle and left: Nile red staining of accumulated lipids (green fluorescence). Scale bar: 1,000 μm. (e) Quantification of differentiation efficiency. Top: Osteogenic differentiation was assessed by calculating the ratio of Alizarin Red S-positive pixels to total pixels in RGB images. Center and bottom: Adipogenic differentiation efficiency was evaluated by manual counting of cells containing lipid droplets within a 200 μm 2 area using ImageJ 1.54p (n = 4).
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    The Impact of K9-MILo on the differentiation potential of <t>ASC52telo</t> cells. (a) Schematic representation of K9-MILo vector. (b) AlphaFold3-predicted structural model of K9-MILo. (c) RT-qPCR analysis of K9-MILo and endogenous MPP8 expression levels on day 0 of differentiation, normalized to RPLP0. Data are represented as Boxplot, n = 3, Mann–Whitney U test, * marks statistically significant differences (p < 0, 05) between ASC52telo versus the corresponding expression in ASC52telo-K9-MILo cells. (d) Differentiation of ASC52telo-K9-MILo cell line into osteocytes and adipocytes, right: Alizarin red staining of calcium deposits (red color); middle and left: Nile red staining of accumulated lipids (green fluorescence). Scale bar: 1,000 μm. (e) Quantification of differentiation efficiency. Top: Osteogenic differentiation was assessed by calculating the ratio of Alizarin Red S-positive pixels to total pixels in RGB images. Center and bottom: Adipogenic differentiation efficiency was evaluated by manual counting of cells containing lipid droplets within a 200 μm 2 area using ImageJ 1.54p (n = 4).
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    The Impact of K9-MILo on the differentiation potential of <t>ASC52telo</t> cells. (a) Schematic representation of K9-MILo vector. (b) AlphaFold3-predicted structural model of K9-MILo. (c) RT-qPCR analysis of K9-MILo and endogenous MPP8 expression levels on day 0 of differentiation, normalized to RPLP0. Data are represented as Boxplot, n = 3, Mann–Whitney U test, * marks statistically significant differences (p < 0, 05) between ASC52telo versus the corresponding expression in ASC52telo-K9-MILo cells. (d) Differentiation of ASC52telo-K9-MILo cell line into osteocytes and adipocytes, right: Alizarin red staining of calcium deposits (red color); middle and left: Nile red staining of accumulated lipids (green fluorescence). Scale bar: 1,000 μm. (e) Quantification of differentiation efficiency. Top: Osteogenic differentiation was assessed by calculating the ratio of Alizarin Red S-positive pixels to total pixels in RGB images. Center and bottom: Adipogenic differentiation efficiency was evaluated by manual counting of cells containing lipid droplets within a 200 μm 2 area using ImageJ 1.54p (n = 4).
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    The Impact of K9-MILo on the differentiation potential of <t>ASC52telo</t> cells. (a) Schematic representation of K9-MILo vector. (b) AlphaFold3-predicted structural model of K9-MILo. (c) RT-qPCR analysis of K9-MILo and endogenous MPP8 expression levels on day 0 of differentiation, normalized to RPLP0. Data are represented as Boxplot, n = 3, Mann–Whitney U test, * marks statistically significant differences (p < 0, 05) between ASC52telo versus the corresponding expression in ASC52telo-K9-MILo cells. (d) Differentiation of ASC52telo-K9-MILo cell line into osteocytes and adipocytes, right: Alizarin red staining of calcium deposits (red color); middle and left: Nile red staining of accumulated lipids (green fluorescence). Scale bar: 1,000 μm. (e) Quantification of differentiation efficiency. Top: Osteogenic differentiation was assessed by calculating the ratio of Alizarin Red S-positive pixels to total pixels in RGB images. Center and bottom: Adipogenic differentiation efficiency was evaluated by manual counting of cells containing lipid droplets within a 200 μm 2 area using ImageJ 1.54p (n = 4).
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    The Impact of K9-MILo on the differentiation potential of <t>ASC52telo</t> cells. (a) Schematic representation of K9-MILo vector. (b) AlphaFold3-predicted structural model of K9-MILo. (c) RT-qPCR analysis of K9-MILo and endogenous MPP8 expression levels on day 0 of differentiation, normalized to RPLP0. Data are represented as Boxplot, n = 3, Mann–Whitney U test, * marks statistically significant differences (p < 0, 05) between ASC52telo versus the corresponding expression in ASC52telo-K9-MILo cells. (d) Differentiation of ASC52telo-K9-MILo cell line into osteocytes and adipocytes, right: Alizarin red staining of calcium deposits (red color); middle and left: Nile red staining of accumulated lipids (green fluorescence). Scale bar: 1,000 μm. (e) Quantification of differentiation efficiency. Top: Osteogenic differentiation was assessed by calculating the ratio of Alizarin Red S-positive pixels to total pixels in RGB images. Center and bottom: Adipogenic differentiation efficiency was evaluated by manual counting of cells containing lipid droplets within a 200 μm 2 area using ImageJ 1.54p (n = 4).
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    The Impact of K9-MILo on the differentiation potential of <t>ASC52telo</t> cells. (a) Schematic representation of K9-MILo vector. (b) AlphaFold3-predicted structural model of K9-MILo. (c) RT-qPCR analysis of K9-MILo and endogenous MPP8 expression levels on day 0 of differentiation, normalized to RPLP0. Data are represented as Boxplot, n = 3, Mann–Whitney U test, * marks statistically significant differences (p < 0, 05) between ASC52telo versus the corresponding expression in ASC52telo-K9-MILo cells. (d) Differentiation of ASC52telo-K9-MILo cell line into osteocytes and adipocytes, right: Alizarin red staining of calcium deposits (red color); middle and left: Nile red staining of accumulated lipids (green fluorescence). Scale bar: 1,000 μm. (e) Quantification of differentiation efficiency. Top: Osteogenic differentiation was assessed by calculating the ratio of Alizarin Red S-positive pixels to total pixels in RGB images. Center and bottom: Adipogenic differentiation efficiency was evaluated by manual counting of cells containing lipid droplets within a 200 μm 2 area using ImageJ 1.54p (n = 4).
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    mscs  (ATCC)
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    The Impact of K9-MILo on the differentiation potential of <t>ASC52telo</t> cells. (a) Schematic representation of K9-MILo vector. (b) AlphaFold3-predicted structural model of K9-MILo. (c) RT-qPCR analysis of K9-MILo and endogenous MPP8 expression levels on day 0 of differentiation, normalized to RPLP0. Data are represented as Boxplot, n = 3, Mann–Whitney U test, * marks statistically significant differences (p < 0, 05) between ASC52telo versus the corresponding expression in ASC52telo-K9-MILo cells. (d) Differentiation of ASC52telo-K9-MILo cell line into osteocytes and adipocytes, right: Alizarin red staining of calcium deposits (red color); middle and left: Nile red staining of accumulated lipids (green fluorescence). Scale bar: 1,000 μm. (e) Quantification of differentiation efficiency. Top: Osteogenic differentiation was assessed by calculating the ratio of Alizarin Red S-positive pixels to total pixels in RGB images. Center and bottom: Adipogenic differentiation efficiency was evaluated by manual counting of cells containing lipid droplets within a 200 μm 2 area using ImageJ 1.54p (n = 4).
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    Image Search Results


    The Impact of K9-MILo on the differentiation potential of ASC52telo cells. (a) Schematic representation of K9-MILo vector. (b) AlphaFold3-predicted structural model of K9-MILo. (c) RT-qPCR analysis of K9-MILo and endogenous MPP8 expression levels on day 0 of differentiation, normalized to RPLP0. Data are represented as Boxplot, n = 3, Mann–Whitney U test, * marks statistically significant differences (p < 0, 05) between ASC52telo versus the corresponding expression in ASC52telo-K9-MILo cells. (d) Differentiation of ASC52telo-K9-MILo cell line into osteocytes and adipocytes, right: Alizarin red staining of calcium deposits (red color); middle and left: Nile red staining of accumulated lipids (green fluorescence). Scale bar: 1,000 μm. (e) Quantification of differentiation efficiency. Top: Osteogenic differentiation was assessed by calculating the ratio of Alizarin Red S-positive pixels to total pixels in RGB images. Center and bottom: Adipogenic differentiation efficiency was evaluated by manual counting of cells containing lipid droplets within a 200 μm 2 area using ImageJ 1.54p (n = 4).

    Journal: Frontiers in Cell and Developmental Biology

    Article Title: Live monitoring uncovers divergent epigenetic remodeling during osteogenic and adipogenic differentiation of mesenchymal stem cells

    doi: 10.3389/fcell.2026.1823110

    Figure Lengend Snippet: The Impact of K9-MILo on the differentiation potential of ASC52telo cells. (a) Schematic representation of K9-MILo vector. (b) AlphaFold3-predicted structural model of K9-MILo. (c) RT-qPCR analysis of K9-MILo and endogenous MPP8 expression levels on day 0 of differentiation, normalized to RPLP0. Data are represented as Boxplot, n = 3, Mann–Whitney U test, * marks statistically significant differences (p < 0, 05) between ASC52telo versus the corresponding expression in ASC52telo-K9-MILo cells. (d) Differentiation of ASC52telo-K9-MILo cell line into osteocytes and adipocytes, right: Alizarin red staining of calcium deposits (red color); middle and left: Nile red staining of accumulated lipids (green fluorescence). Scale bar: 1,000 μm. (e) Quantification of differentiation efficiency. Top: Osteogenic differentiation was assessed by calculating the ratio of Alizarin Red S-positive pixels to total pixels in RGB images. Center and bottom: Adipogenic differentiation efficiency was evaluated by manual counting of cells containing lipid droplets within a 200 μm 2 area using ImageJ 1.54p (n = 4).

    Article Snippet: HEK293T (CRL-3216TM, ATCC, United States) and ASC52telo (SCRC-4000TM, ATCC, United States) cells were cultured at 37 °C (5% CO2) in DMEM medium with glutamine (4.5 g/L glucose; PanEco, Russia), containing 10% fetal bovine serum (HyClone, United States), 100 U/mL penicillin and 100 μg/mL streptomycin (HyClone, United States).

    Techniques: Plasmid Preparation, Quantitative RT-PCR, Expressing, MANN-WHITNEY, Staining, Fluorescence

    Experimental and analytical pipeline for tracking heterochromatin dynamics during MSC differentiation. (a) Experimental workflow (left). A stable ASC52telo-MSC line constitutively expressing K9-MILo (generated via lentiviral transduction and bulk FACS sorting) is differentiated toward adipogenic or osteogenic lineages for up to 13 days. Every 48 h, live cells are imaged by widefield fluorescence microscopy (green channel). Automated XY positioning captures the same fields of view across all time points. Representative images show the nuclear distribution of H3K9me3 as a punctate heterochromatin pattern. (b) Analytical pipeline (right). Acquired nuclear images undergo segmentation. For each nucleus, 98 features are extracted (Haralick texture features, TAS, Zernike moments, chromatin distribution statistics). Feature vectors are averaged across 40 nuclei per condition per time point, then subjected to PCA. PC1 and PC2 are used to generate scatter plots revealing clustering of heterochromatin states.

    Journal: Frontiers in Cell and Developmental Biology

    Article Title: Live monitoring uncovers divergent epigenetic remodeling during osteogenic and adipogenic differentiation of mesenchymal stem cells

    doi: 10.3389/fcell.2026.1823110

    Figure Lengend Snippet: Experimental and analytical pipeline for tracking heterochromatin dynamics during MSC differentiation. (a) Experimental workflow (left). A stable ASC52telo-MSC line constitutively expressing K9-MILo (generated via lentiviral transduction and bulk FACS sorting) is differentiated toward adipogenic or osteogenic lineages for up to 13 days. Every 48 h, live cells are imaged by widefield fluorescence microscopy (green channel). Automated XY positioning captures the same fields of view across all time points. Representative images show the nuclear distribution of H3K9me3 as a punctate heterochromatin pattern. (b) Analytical pipeline (right). Acquired nuclear images undergo segmentation. For each nucleus, 98 features are extracted (Haralick texture features, TAS, Zernike moments, chromatin distribution statistics). Feature vectors are averaged across 40 nuclei per condition per time point, then subjected to PCA. PC1 and PC2 are used to generate scatter plots revealing clustering of heterochromatin states.

    Article Snippet: HEK293T (CRL-3216TM, ATCC, United States) and ASC52telo (SCRC-4000TM, ATCC, United States) cells were cultured at 37 °C (5% CO2) in DMEM medium with glutamine (4.5 g/L glucose; PanEco, Russia), containing 10% fetal bovine serum (HyClone, United States), 100 U/mL penicillin and 100 μg/mL streptomycin (HyClone, United States).

    Techniques: Expressing, Generated, Transduction, Fluorescence, Microscopy

    Evaluation of indomethacin impact on adipogenic differentiation of ASC52telo-K9-MILo. (a) Main signalling components in adipogenic differentiation, classical components of the differentiation cocktail are shown as dark green. (b) Adipogenic differentiation of ASC52telo, Nile red staining of accumulated lipids (green fluorescence) . (c) Principal component analysis of adipogenic differentiation in the presence and absence of indomethacin.

    Journal: Frontiers in Cell and Developmental Biology

    Article Title: Live monitoring uncovers divergent epigenetic remodeling during osteogenic and adipogenic differentiation of mesenchymal stem cells

    doi: 10.3389/fcell.2026.1823110

    Figure Lengend Snippet: Evaluation of indomethacin impact on adipogenic differentiation of ASC52telo-K9-MILo. (a) Main signalling components in adipogenic differentiation, classical components of the differentiation cocktail are shown as dark green. (b) Adipogenic differentiation of ASC52telo, Nile red staining of accumulated lipids (green fluorescence) . (c) Principal component analysis of adipogenic differentiation in the presence and absence of indomethacin.

    Article Snippet: HEK293T (CRL-3216TM, ATCC, United States) and ASC52telo (SCRC-4000TM, ATCC, United States) cells were cultured at 37 °C (5% CO2) in DMEM medium with glutamine (4.5 g/L glucose; PanEco, Russia), containing 10% fetal bovine serum (HyClone, United States), 100 U/mL penicillin and 100 μg/mL streptomycin (HyClone, United States).

    Techniques: Staining, Fluorescence