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penicillin streptomycin p s  (ATCC)


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    ATCC penicillin streptomycin p s
    Penicillin Streptomycin P S, supplied by ATCC, used in various techniques. Bioz Stars score: 94/100, based on 24 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Average 94 stars, based on 24 article reviews
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    Temporal analysis of the BMSC paracrine profile on different scaffolds. (A) Confocal microscopy images from Live/Dead fluorescence staining of BMSCs encapsulated within the PCL/HAp-GelMA/BMSCs scaffold after 1, 3, 5, and 14 d of 3D culture (live cells, green; dead cells, red). (B) The concentrations of key paracrine factors (TGF-β, PGE2, <t>VEGF,</t> HGF, and BMP-2) from BMSCs cultured in different scaffolds, quantified from culture supernatants at day 3 and day 7. (C) Corresponding relative mRNA expression levels of TGFB1, PTGS2, VEGFA, HGF, and BMP-2 in BMSCs at day 3 and day 7, as determined by qPCR analysis. Data are presented as mean ± SD (n = 3) *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001; ns: not significant.
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    Transcriptional heterogeneity and lineage‐resolved progression in primary senescence at single‐cell level. (A) Experimental overview. Renal <t>epithelial</t> cells were irradiated (IR; 10 Gy, 10 days) to induce primary senescence, with quiescent controls (QUI; 0.01% serum, 3 days) processed for scRNA‐seq. (B) Expression levels of senescence and SASP‐related genes in senescent relative to the controls (QUI, n = 3; IR, n = 3). (C) Secreted IL‐6 levels in CM measured using ELISA (QUI, n = 6; IR, n = 6). Data are presented as the means ± the standard error of the mean (unpaired two‐tailed t ‐test; * p < 0.05, ** p < 0.01, *** p < 0.001). (D) UMAP of primary dataset showing clusters grouped into non‐senescent (C4 and C9), intermediate (C0, C1, C3, and C7), and fully senescent states (C5, C6, and C8) (left). Each bar represents either IR or QUI, and each colored segment's height indicates the fraction of one of the three senescence states within that group (middle). Stacked bar chart showing the proportions of IR and QUI cells across each cluster (right). (E) Feature plots showing expression levels of proliferation and senescence‐associated genes. (F) Heatmap of pathway activity across clusters scored via gene set variation analysis, with Z ‐score normalization. (G) UMAP trajectory analysis using Slingshot identifying three senescence progression lineages. Trajectory lines overlaid on UMAP. Cell clusters are colored by pseudotime progression. (H, I) Boxplots of normalized pathway scores for DNA repair (H) and SASP‐related gene sets (I) across clusters (Kruskal–Wallis test, with pairwise Wilcoxon rank‐sum test; adjusted p‐values as shown). (J) Enriched pathways of non‐senescent, intermediate, and fully senescent states in the primary SnCs. p‐values were calculated using a hypergeometric distribution. (K) TradeSeq‐based heatmap of temporally regulated top 500 genes along the pseudotime trajectory for lineage 3 ( p < 0.05), with representative late‐pseudotime genes highlighted.
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    Image Search Results


    Temporal analysis of the BMSC paracrine profile on different scaffolds. (A) Confocal microscopy images from Live/Dead fluorescence staining of BMSCs encapsulated within the PCL/HAp-GelMA/BMSCs scaffold after 1, 3, 5, and 14 d of 3D culture (live cells, green; dead cells, red). (B) The concentrations of key paracrine factors (TGF-β, PGE2, VEGF, HGF, and BMP-2) from BMSCs cultured in different scaffolds, quantified from culture supernatants at day 3 and day 7. (C) Corresponding relative mRNA expression levels of TGFB1, PTGS2, VEGFA, HGF, and BMP-2 in BMSCs at day 3 and day 7, as determined by qPCR analysis. Data are presented as mean ± SD (n = 3) *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001; ns: not significant.

    Journal: Bioactive Materials

    Article Title: Mesenchymal stromal cells-loaded 3D radially aligned composite scaffold with potentiated paracrine signaling for sequential bone regeneration

    doi: 10.1016/j.bioactmat.2026.02.059

    Figure Lengend Snippet: Temporal analysis of the BMSC paracrine profile on different scaffolds. (A) Confocal microscopy images from Live/Dead fluorescence staining of BMSCs encapsulated within the PCL/HAp-GelMA/BMSCs scaffold after 1, 3, 5, and 14 d of 3D culture (live cells, green; dead cells, red). (B) The concentrations of key paracrine factors (TGF-β, PGE2, VEGF, HGF, and BMP-2) from BMSCs cultured in different scaffolds, quantified from culture supernatants at day 3 and day 7. (C) Corresponding relative mRNA expression levels of TGFB1, PTGS2, VEGFA, HGF, and BMP-2 in BMSCs at day 3 and day 7, as determined by qPCR analysis. Data are presented as mean ± SD (n = 3) *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001; ns: not significant.

    Article Snippet: ELISA kits for PGE2 (Cat. No. E-EL-0034), TGF-β (Cat. No. E-EL-0162), VEGF (Cat. No. E-EL-R2603), and HGF (Cat. No. E-EL-R0496) were purchased from Elabscience (Wuhan, China).

    Techniques: Confocal Microscopy, Fluorescence, Staining, Cell Culture, Expressing

    Temporal analysis of the BMSC paracrine profile on different scaffolds. (A) Confocal microscopy images from Live/Dead fluorescence staining of BMSCs encapsulated within the PCL/HAp-GelMA/BMSCs scaffold after 1, 3, 5, and 14 d of 3D culture (live cells, green; dead cells, red). (B) The concentrations of key paracrine factors (TGF-β, PGE2, VEGF, HGF, and BMP-2) from BMSCs cultured in different scaffolds, quantified from culture supernatants at day 3 and day 7. (C) Corresponding relative mRNA expression levels of TGFB1, PTGS2, VEGFA, HGF, and BMP-2 in BMSCs at day 3 and day 7, as determined by qPCR analysis. Data are presented as mean ± SD (n = 3) *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001; ns: not significant.

    Journal: Bioactive Materials

    Article Title: Mesenchymal stromal cells-loaded 3D radially aligned composite scaffold with potentiated paracrine signaling for sequential bone regeneration

    doi: 10.1016/j.bioactmat.2026.02.059

    Figure Lengend Snippet: Temporal analysis of the BMSC paracrine profile on different scaffolds. (A) Confocal microscopy images from Live/Dead fluorescence staining of BMSCs encapsulated within the PCL/HAp-GelMA/BMSCs scaffold after 1, 3, 5, and 14 d of 3D culture (live cells, green; dead cells, red). (B) The concentrations of key paracrine factors (TGF-β, PGE2, VEGF, HGF, and BMP-2) from BMSCs cultured in different scaffolds, quantified from culture supernatants at day 3 and day 7. (C) Corresponding relative mRNA expression levels of TGFB1, PTGS2, VEGFA, HGF, and BMP-2 in BMSCs at day 3 and day 7, as determined by qPCR analysis. Data are presented as mean ± SD (n = 3) *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001; ns: not significant.

    Article Snippet: ELISA kits for PGE2 (Cat. No. E-EL-0034), TGF-β (Cat. No. E-EL-0162), VEGF (Cat. No. E-EL-R2603), and HGF (Cat. No. E-EL-R0496) were purchased from Elabscience (Wuhan, China).

    Techniques: Confocal Microscopy, Fluorescence, Staining, Cell Culture, Expressing

    Temporal analysis of the BMSC paracrine profile on different scaffolds. (A) Confocal microscopy images from Live/Dead fluorescence staining of BMSCs encapsulated within the PCL/HAp-GelMA/BMSCs scaffold after 1, 3, 5, and 14 d of 3D culture (live cells, green; dead cells, red). (B) The concentrations of key paracrine factors (TGF-β, PGE2, VEGF, HGF, and BMP-2) from BMSCs cultured in different scaffolds, quantified from culture supernatants at day 3 and day 7. (C) Corresponding relative mRNA expression levels of TGFB1, PTGS2, VEGFA, HGF, and BMP-2 in BMSCs at day 3 and day 7, as determined by qPCR analysis. Data are presented as mean ± SD (n = 3) *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001; ns: not significant.

    Journal: Bioactive Materials

    Article Title: Mesenchymal stromal cells-loaded 3D radially aligned composite scaffold with potentiated paracrine signaling for sequential bone regeneration

    doi: 10.1016/j.bioactmat.2026.02.059

    Figure Lengend Snippet: Temporal analysis of the BMSC paracrine profile on different scaffolds. (A) Confocal microscopy images from Live/Dead fluorescence staining of BMSCs encapsulated within the PCL/HAp-GelMA/BMSCs scaffold after 1, 3, 5, and 14 d of 3D culture (live cells, green; dead cells, red). (B) The concentrations of key paracrine factors (TGF-β, PGE2, VEGF, HGF, and BMP-2) from BMSCs cultured in different scaffolds, quantified from culture supernatants at day 3 and day 7. (C) Corresponding relative mRNA expression levels of TGFB1, PTGS2, VEGFA, HGF, and BMP-2 in BMSCs at day 3 and day 7, as determined by qPCR analysis. Data are presented as mean ± SD (n = 3) *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001; ns: not significant.

    Article Snippet: ELISA kits for PGE2 (Cat. No. E-EL-0034), TGF-β (Cat. No. E-EL-0162), VEGF (Cat. No. E-EL-R2603), and HGF (Cat. No. E-EL-R0496) were purchased from Elabscience (Wuhan, China).

    Techniques: Confocal Microscopy, Fluorescence, Staining, Cell Culture, Expressing

    Characterisation of primary human peritoneal mesothelial cells (HPMCs) and human peritoneal fibroblasts (HPFs) compared to the LP-9 mesothelial cell line and normal human dermal fibroblasts (NHDFs). (A) Representative phase-contrast micrographs of LP-9, HPMCs, NHDFs and HPFs. Mesothelial and fibroblast cells exhibit cobblestone and spindle-like morphologies, respectively. (B) We observed localised expression of the cytoskeletal markers cytokeratin (CK) and vimentin (VIM) in LP-9 cells and HPMCs, while VIM, but not CK, was expressed in NHDFs and HPFs. HPMCs ( n =6) showed a high percentage of CK + /VIM + cells [98.20±1.05% (mean±s.d.)], while HPFs ( n =3) exhibited 81.36±5.63% CK − /VIM + cells. Scale bars: 200 µm (A); 50 µm (B).

    Journal: Disease Models & Mechanisms

    Article Title: Compound design of a patient-derived 3D cell culture system modelling early peritoneal endometriosis

    doi: 10.1242/dmm.052436

    Figure Lengend Snippet: Characterisation of primary human peritoneal mesothelial cells (HPMCs) and human peritoneal fibroblasts (HPFs) compared to the LP-9 mesothelial cell line and normal human dermal fibroblasts (NHDFs). (A) Representative phase-contrast micrographs of LP-9, HPMCs, NHDFs and HPFs. Mesothelial and fibroblast cells exhibit cobblestone and spindle-like morphologies, respectively. (B) We observed localised expression of the cytoskeletal markers cytokeratin (CK) and vimentin (VIM) in LP-9 cells and HPMCs, while VIM, but not CK, was expressed in NHDFs and HPFs. HPMCs ( n =6) showed a high percentage of CK + /VIM + cells [98.20±1.05% (mean±s.d.)], while HPFs ( n =3) exhibited 81.36±5.63% CK − /VIM + cells. Scale bars: 200 µm (A); 50 µm (B).

    Article Snippet: NHDFs were cultured in Fibroblast Growth Medium (Promocell, C-23110) containing 1 ng/ml recombinant human basic fibroblast growth factor and 5 μg/ml recombinant human insulin, supplemented with 2 mM L-glutamine and 100 μg/ml Primocin.

    Techniques: Expressing

    Establishing composite 3D hydrogel constructs using peritoneal mesothelial cells and fibroblasts. (A) Schematic illustration of model construction and culture timeline. (B) Representative axial view [also seen in C (M3)] and Haematoxylin and Eosin (H&E)-stained section of a hydrogel construct showing the formation of a mesothelial monolayer (ML) and submesothelial layer (SML) on a transwell membrane (TM). (C) Representative images of hydrogel matrices using M1 (collagen I), M2 (70:30 collagen I:Matrigel ratio), M3 (50:50 collagen I:Matrigel ratio) and M4 (collagen I+human fibronectin). Construct generated with matrix combination M3 demonstrated minimal contraction in LP-9/NHDF and HPMC/HPF trials. (D) Lactate dehydrogenase (LDH) cytotoxicity assay in M3 composite hydrogel constructs containing HPMC/HPF ( n =3 donors) over a 10-day culture period. (E) Dual immunofluorescence staining of cleaved caspase-3 (CC-3) and VIM to detect apoptotic HPMCs/HPFs in M3 constructs on day 3 and day 10 of culture ( n =3). Scale bars: 300 µm (B); 100 µm (C); 50 µm (E).

    Journal: Disease Models & Mechanisms

    Article Title: Compound design of a patient-derived 3D cell culture system modelling early peritoneal endometriosis

    doi: 10.1242/dmm.052436

    Figure Lengend Snippet: Establishing composite 3D hydrogel constructs using peritoneal mesothelial cells and fibroblasts. (A) Schematic illustration of model construction and culture timeline. (B) Representative axial view [also seen in C (M3)] and Haematoxylin and Eosin (H&E)-stained section of a hydrogel construct showing the formation of a mesothelial monolayer (ML) and submesothelial layer (SML) on a transwell membrane (TM). (C) Representative images of hydrogel matrices using M1 (collagen I), M2 (70:30 collagen I:Matrigel ratio), M3 (50:50 collagen I:Matrigel ratio) and M4 (collagen I+human fibronectin). Construct generated with matrix combination M3 demonstrated minimal contraction in LP-9/NHDF and HPMC/HPF trials. (D) Lactate dehydrogenase (LDH) cytotoxicity assay in M3 composite hydrogel constructs containing HPMC/HPF ( n =3 donors) over a 10-day culture period. (E) Dual immunofluorescence staining of cleaved caspase-3 (CC-3) and VIM to detect apoptotic HPMCs/HPFs in M3 constructs on day 3 and day 10 of culture ( n =3). Scale bars: 300 µm (B); 100 µm (C); 50 µm (E).

    Article Snippet: NHDFs were cultured in Fibroblast Growth Medium (Promocell, C-23110) containing 1 ng/ml recombinant human basic fibroblast growth factor and 5 μg/ml recombinant human insulin, supplemented with 2 mM L-glutamine and 100 μg/ml Primocin.

    Techniques: Construct, Staining, Membrane, Generated, LDH Cytotoxicity Assay, Immunofluorescence

    Histological and functional analysis of the human parietal peritoneum and peritoneal layer models. (A) Histological staining of transverse sections through parietal peritoneum and composite 3D hydrogel constructs composed of LP-9/NHDFs and HPMCs/HPFs. Immunofluorescence using antibodies against the mesothelial markers podoplanin (PDPN) and mesothelin (MSLN), and submesothelial markers fibroblast specific protein 1 (FSP1) and tumor endothelial marker 1 (TEM1). (B) Colocalisation of MSLN and collagen IV (COLIV) suggesting spontaneous basal lamina formation. (C) Human tissue plasminogen activator (tPA) enzyme-linked immunosorbent assay (ELISA) to determine the functionality of the mesothelial cells in models assembled with HPMCs from three different donors over a 10-day culture period. Scale bars: 50 µm; 15 µm (insets in B).

    Journal: Disease Models & Mechanisms

    Article Title: Compound design of a patient-derived 3D cell culture system modelling early peritoneal endometriosis

    doi: 10.1242/dmm.052436

    Figure Lengend Snippet: Histological and functional analysis of the human parietal peritoneum and peritoneal layer models. (A) Histological staining of transverse sections through parietal peritoneum and composite 3D hydrogel constructs composed of LP-9/NHDFs and HPMCs/HPFs. Immunofluorescence using antibodies against the mesothelial markers podoplanin (PDPN) and mesothelin (MSLN), and submesothelial markers fibroblast specific protein 1 (FSP1) and tumor endothelial marker 1 (TEM1). (B) Colocalisation of MSLN and collagen IV (COLIV) suggesting spontaneous basal lamina formation. (C) Human tissue plasminogen activator (tPA) enzyme-linked immunosorbent assay (ELISA) to determine the functionality of the mesothelial cells in models assembled with HPMCs from three different donors over a 10-day culture period. Scale bars: 50 µm; 15 µm (insets in B).

    Article Snippet: NHDFs were cultured in Fibroblast Growth Medium (Promocell, C-23110) containing 1 ng/ml recombinant human basic fibroblast growth factor and 5 μg/ml recombinant human insulin, supplemented with 2 mM L-glutamine and 100 μg/ml Primocin.

    Techniques: Functional Assay, Staining, Construct, Immunofluorescence, Marker, Enzyme-linked Immunosorbent Assay

    Transcriptional heterogeneity and lineage‐resolved progression in primary senescence at single‐cell level. (A) Experimental overview. Renal epithelial cells were irradiated (IR; 10 Gy, 10 days) to induce primary senescence, with quiescent controls (QUI; 0.01% serum, 3 days) processed for scRNA‐seq. (B) Expression levels of senescence and SASP‐related genes in senescent relative to the controls (QUI, n = 3; IR, n = 3). (C) Secreted IL‐6 levels in CM measured using ELISA (QUI, n = 6; IR, n = 6). Data are presented as the means ± the standard error of the mean (unpaired two‐tailed t ‐test; * p < 0.05, ** p < 0.01, *** p < 0.001). (D) UMAP of primary dataset showing clusters grouped into non‐senescent (C4 and C9), intermediate (C0, C1, C3, and C7), and fully senescent states (C5, C6, and C8) (left). Each bar represents either IR or QUI, and each colored segment's height indicates the fraction of one of the three senescence states within that group (middle). Stacked bar chart showing the proportions of IR and QUI cells across each cluster (right). (E) Feature plots showing expression levels of proliferation and senescence‐associated genes. (F) Heatmap of pathway activity across clusters scored via gene set variation analysis, with Z ‐score normalization. (G) UMAP trajectory analysis using Slingshot identifying three senescence progression lineages. Trajectory lines overlaid on UMAP. Cell clusters are colored by pseudotime progression. (H, I) Boxplots of normalized pathway scores for DNA repair (H) and SASP‐related gene sets (I) across clusters (Kruskal–Wallis test, with pairwise Wilcoxon rank‐sum test; adjusted p‐values as shown). (J) Enriched pathways of non‐senescent, intermediate, and fully senescent states in the primary SnCs. p‐values were calculated using a hypergeometric distribution. (K) TradeSeq‐based heatmap of temporally regulated top 500 genes along the pseudotime trajectory for lineage 3 ( p < 0.05), with representative late‐pseudotime genes highlighted.

    Journal: Aging Cell

    Article Title: Transcriptional Profiling at Single‐Cell Resolution Reveals Diversity and Regulatory Networks of Primary and Secondary Senescent Cells

    doi: 10.1111/acel.70540

    Figure Lengend Snippet: Transcriptional heterogeneity and lineage‐resolved progression in primary senescence at single‐cell level. (A) Experimental overview. Renal epithelial cells were irradiated (IR; 10 Gy, 10 days) to induce primary senescence, with quiescent controls (QUI; 0.01% serum, 3 days) processed for scRNA‐seq. (B) Expression levels of senescence and SASP‐related genes in senescent relative to the controls (QUI, n = 3; IR, n = 3). (C) Secreted IL‐6 levels in CM measured using ELISA (QUI, n = 6; IR, n = 6). Data are presented as the means ± the standard error of the mean (unpaired two‐tailed t ‐test; * p < 0.05, ** p < 0.01, *** p < 0.001). (D) UMAP of primary dataset showing clusters grouped into non‐senescent (C4 and C9), intermediate (C0, C1, C3, and C7), and fully senescent states (C5, C6, and C8) (left). Each bar represents either IR or QUI, and each colored segment's height indicates the fraction of one of the three senescence states within that group (middle). Stacked bar chart showing the proportions of IR and QUI cells across each cluster (right). (E) Feature plots showing expression levels of proliferation and senescence‐associated genes. (F) Heatmap of pathway activity across clusters scored via gene set variation analysis, with Z ‐score normalization. (G) UMAP trajectory analysis using Slingshot identifying three senescence progression lineages. Trajectory lines overlaid on UMAP. Cell clusters are colored by pseudotime progression. (H, I) Boxplots of normalized pathway scores for DNA repair (H) and SASP‐related gene sets (I) across clusters (Kruskal–Wallis test, with pairwise Wilcoxon rank‐sum test; adjusted p‐values as shown). (J) Enriched pathways of non‐senescent, intermediate, and fully senescent states in the primary SnCs. p‐values were calculated using a hypergeometric distribution. (K) TradeSeq‐based heatmap of temporally regulated top 500 genes along the pseudotime trajectory for lineage 3 ( p < 0.05), with representative late‐pseudotime genes highlighted.

    Article Snippet: Human renal epithelial cells (ATCC; PCS‐400‐011) were cultured in Renal Epithelial Cell Basal Medium (ATCC; PCS‐400‐030) supplemented with the Renal Epithelial Cell Growth Kit (ATCC; PCS‐400‐040), which maintains the cultures at a final serum concentration of 0.5% and incubated at 37°C in 10% CO 2 and 3% O 2 .

    Techniques: Single Cell, Irradiation, Expressing, Enzyme-linked Immunosorbent Assay, Two Tailed Test, Activity Assay

    SASP‐driven secondary senescence shows distinct transcriptional states. (A) Experimental overview: Proliferative renal epithelial cells were treated with CM from quiescent cells (QCMT) or primary senescent cells (SCMT) and separately processed for scRNA‐seq. (B) qPCR validation of senescence/SASP‐associated genes and expressed as fold changes in SCMT versus QCMT (QCMT, n = 4; SCMT, n = 3). Data are presented as the mean ± standard error of the mean. * p < 0.05, ** p < 0.01, *** p < 0.001 (two‐tailed unpaired t ‐test) (C) Secreted IL‐6 levels in CM measured by ELISA (QCMT, n = 12; SCMT, n = 8). (D) UMAP of secondary SnCs showing clusters grouped into non‐senescent (C2 and C6), intermediate (C0, C1, and C4), and fully senescent clusters (C3, C5, and C7) (left). Each bar represents either QCMT or SCMT, and each colored segment's height indicates the fraction of one of the three senescence states within that group (middle). Stacked bar chart showing the proportions of QCMT and SCMT cells across each cluster (right). (E) Feature plots of representative proliferation and senescence‐associated genes across clusters. (F) Heatmap of pathway activities across clusters ( Z ‐score normalized). (G) UMAP trajectory analysis using Slingshot identifies four lineages with distinct terminal clusters, including a senescence‐resistant endpoint. Trajectory lines indicate senescence progression, and clusters are colored by pseudotime. (H, I) Boxplots of DNA repair (H) and SASP‐related gene set scores (I) across clusters (Kruskal–Wallis two‐sided test with pairwise Wilcoxon rank‐sum test; adjusted p‐values as shown). (J) Enriched pathways categorized into non‐senescent, intermediate, and fully senescent states. p‐values were calculated using a hypergeometric distribution. (K) Heatmap displaying temporally regulated the top 500 genes identified through tradeSeq along the pseudotime trajectory for lineage 4 in secondary senescence (hypergeometric distribution; p < 0.05).

    Journal: Aging Cell

    Article Title: Transcriptional Profiling at Single‐Cell Resolution Reveals Diversity and Regulatory Networks of Primary and Secondary Senescent Cells

    doi: 10.1111/acel.70540

    Figure Lengend Snippet: SASP‐driven secondary senescence shows distinct transcriptional states. (A) Experimental overview: Proliferative renal epithelial cells were treated with CM from quiescent cells (QCMT) or primary senescent cells (SCMT) and separately processed for scRNA‐seq. (B) qPCR validation of senescence/SASP‐associated genes and expressed as fold changes in SCMT versus QCMT (QCMT, n = 4; SCMT, n = 3). Data are presented as the mean ± standard error of the mean. * p < 0.05, ** p < 0.01, *** p < 0.001 (two‐tailed unpaired t ‐test) (C) Secreted IL‐6 levels in CM measured by ELISA (QCMT, n = 12; SCMT, n = 8). (D) UMAP of secondary SnCs showing clusters grouped into non‐senescent (C2 and C6), intermediate (C0, C1, and C4), and fully senescent clusters (C3, C5, and C7) (left). Each bar represents either QCMT or SCMT, and each colored segment's height indicates the fraction of one of the three senescence states within that group (middle). Stacked bar chart showing the proportions of QCMT and SCMT cells across each cluster (right). (E) Feature plots of representative proliferation and senescence‐associated genes across clusters. (F) Heatmap of pathway activities across clusters ( Z ‐score normalized). (G) UMAP trajectory analysis using Slingshot identifies four lineages with distinct terminal clusters, including a senescence‐resistant endpoint. Trajectory lines indicate senescence progression, and clusters are colored by pseudotime. (H, I) Boxplots of DNA repair (H) and SASP‐related gene set scores (I) across clusters (Kruskal–Wallis two‐sided test with pairwise Wilcoxon rank‐sum test; adjusted p‐values as shown). (J) Enriched pathways categorized into non‐senescent, intermediate, and fully senescent states. p‐values were calculated using a hypergeometric distribution. (K) Heatmap displaying temporally regulated the top 500 genes identified through tradeSeq along the pseudotime trajectory for lineage 4 in secondary senescence (hypergeometric distribution; p < 0.05).

    Article Snippet: Human renal epithelial cells (ATCC; PCS‐400‐011) were cultured in Renal Epithelial Cell Basal Medium (ATCC; PCS‐400‐030) supplemented with the Renal Epithelial Cell Growth Kit (ATCC; PCS‐400‐040), which maintains the cultures at a final serum concentration of 0.5% and incubated at 37°C in 10% CO 2 and 3% O 2 .

    Techniques: Biomarker Discovery, Two Tailed Test, Enzyme-linked Immunosorbent Assay