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human osteosarcoma cell lines  (ATCC)


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    Structured Review

    ATCC human osteosarcoma cell lines
    Identification of active compounds and target prediction in YHD. (A) Venn diagram of the target of YHD and the target of <t>osteosarcoma.</t> (B – D) Gene Ontology (GO) enrichment analysis results. (E, F) Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis results. (G) The component-target-pathway-disease network implicated in the mechanism of YHD in osteosarcoma treatment. The triangles represent osteosarcoma, the diamonds represent pathways, the circles represent key genes, and the squares represent the active ingredients of YHD. (H) Heatmap of molecular docking score. A binding energy heatmap with a bluer color indicates a more stable binding. (I) Molecular docking visualization between the active components of YHD and key targets.
    Human Osteosarcoma Cell Lines, supplied by ATCC, used in various techniques. Bioz Stars score: 97/100, based on 1403 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/human osteosarcoma cell lines/product/ATCC
    Average 97 stars, based on 1403 article reviews
    human osteosarcoma cell lines - by Bioz Stars, 2026-05
    97/100 stars

    Images

    1) Product Images from "Network pharmacology reveals that Yanghe Decoction inhibits osteosarcoma progression via ROS-induced mitochondrial dysfunction and enhances cisplatin sensitivity"

    Article Title: Network pharmacology reveals that Yanghe Decoction inhibits osteosarcoma progression via ROS-induced mitochondrial dysfunction and enhances cisplatin sensitivity

    Journal: Genes & Diseases

    doi: 10.1016/j.gendis.2025.101862

    Identification of active compounds and target prediction in YHD. (A) Venn diagram of the target of YHD and the target of osteosarcoma. (B – D) Gene Ontology (GO) enrichment analysis results. (E, F) Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis results. (G) The component-target-pathway-disease network implicated in the mechanism of YHD in osteosarcoma treatment. The triangles represent osteosarcoma, the diamonds represent pathways, the circles represent key genes, and the squares represent the active ingredients of YHD. (H) Heatmap of molecular docking score. A binding energy heatmap with a bluer color indicates a more stable binding. (I) Molecular docking visualization between the active components of YHD and key targets.
    Figure Legend Snippet: Identification of active compounds and target prediction in YHD. (A) Venn diagram of the target of YHD and the target of osteosarcoma. (B – D) Gene Ontology (GO) enrichment analysis results. (E, F) Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis results. (G) The component-target-pathway-disease network implicated in the mechanism of YHD in osteosarcoma treatment. The triangles represent osteosarcoma, the diamonds represent pathways, the circles represent key genes, and the squares represent the active ingredients of YHD. (H) Heatmap of molecular docking score. A binding energy heatmap with a bluer color indicates a more stable binding. (I) Molecular docking visualization between the active components of YHD and key targets.

    Techniques Used: Binding Assay

    YHD selectively inhibits osteosarcoma (OS) cells without affecting the viability or apoptosis of normal human cells. (A, B) CCK8 assay detected the effect of YHD on the viability of OS cells at 24 h and 48 h. (C, D) Colony formation assay detected the effect of YHD on the colony-forming ability of OS cells. (E – G) Flow cytometry was used to detect the effect of YHD on the cell cycle of OS cells. (H – J) Western blot analysis detected the effect of YHD on the levels of proliferation-related proteins in OS cells. Data were presented as mean ± standard deviation ( n = 3). ∗ p < 0.05 and ∗∗ p < 0.01 versus the blank group.
    Figure Legend Snippet: YHD selectively inhibits osteosarcoma (OS) cells without affecting the viability or apoptosis of normal human cells. (A, B) CCK8 assay detected the effect of YHD on the viability of OS cells at 24 h and 48 h. (C, D) Colony formation assay detected the effect of YHD on the colony-forming ability of OS cells. (E – G) Flow cytometry was used to detect the effect of YHD on the cell cycle of OS cells. (H – J) Western blot analysis detected the effect of YHD on the levels of proliferation-related proteins in OS cells. Data were presented as mean ± standard deviation ( n = 3). ∗ p < 0.05 and ∗∗ p < 0.01 versus the blank group.

    Techniques Used: CCK-8 Assay, Colony Assay, Flow Cytometry, Western Blot, Standard Deviation

    YHD can inhibit the migration and invasion of osteosarcoma (OS) cells, and promote their apoptosis. (A, B) Scratch healing assay showed that YHD inhibited the migration of OS cells. (C, D) Transwell assay showed that YHD inhibited the invasion of OS cells. (E – G) Western blot analysis detected the effect of YHD on the levels of proteins related to migration and invasion in OS cells. (H–K) Flow cytometry was used to detect the effect of YHD on apoptosis in OS cells. (L – N) Western blot analysis detected the effect of YHD on the levels of apoptosis-related proteins in OS cells. Data were presented as mean ± standard deviation ( n = 3). ∗ p < 0.05 and ∗∗ p < 0.01 versus the blank group.
    Figure Legend Snippet: YHD can inhibit the migration and invasion of osteosarcoma (OS) cells, and promote their apoptosis. (A, B) Scratch healing assay showed that YHD inhibited the migration of OS cells. (C, D) Transwell assay showed that YHD inhibited the invasion of OS cells. (E – G) Western blot analysis detected the effect of YHD on the levels of proteins related to migration and invasion in OS cells. (H–K) Flow cytometry was used to detect the effect of YHD on apoptosis in OS cells. (L – N) Western blot analysis detected the effect of YHD on the levels of apoptosis-related proteins in OS cells. Data were presented as mean ± standard deviation ( n = 3). ∗ p < 0.05 and ∗∗ p < 0.01 versus the blank group.

    Techniques Used: Migration, Transwell Assay, Western Blot, Flow Cytometry, Standard Deviation

    YHD induces osteosarcoma (OS) cell death by increasing ROS levels. (A) The effect of YHD on ROS levels in OS cells was detected using the DCFH probe method. (B) After N-acetylcysteine (NAC) treatment, the effect of YHD on ROS levels in OS cells was detected using the DCFH probe method. (C) After NAC treatment, CCK8 assay detected the effect of YHD on the viability of OS cells at 24 h and 48 h. (D, E) After NAC treatment, scratch healing assay showed that YHD inhibited the migration of OS cells. (F, G) After NAC treatment, Transwell assay showed that YHD inhibited the invasion of OS cells. (H, I) After NAC treatment, flow cytometry was used to detect the effect of YHD on the apoptosis of OS cells. Data were presented as mean ± standard deviation ( n = 3). ∗ p < 0.05 and ∗∗ p < 0.01 versus the blank group.
    Figure Legend Snippet: YHD induces osteosarcoma (OS) cell death by increasing ROS levels. (A) The effect of YHD on ROS levels in OS cells was detected using the DCFH probe method. (B) After N-acetylcysteine (NAC) treatment, the effect of YHD on ROS levels in OS cells was detected using the DCFH probe method. (C) After NAC treatment, CCK8 assay detected the effect of YHD on the viability of OS cells at 24 h and 48 h. (D, E) After NAC treatment, scratch healing assay showed that YHD inhibited the migration of OS cells. (F, G) After NAC treatment, Transwell assay showed that YHD inhibited the invasion of OS cells. (H, I) After NAC treatment, flow cytometry was used to detect the effect of YHD on the apoptosis of OS cells. Data were presented as mean ± standard deviation ( n = 3). ∗ p < 0.05 and ∗∗ p < 0.01 versus the blank group.

    Techniques Used: CCK-8 Assay, Migration, Transwell Assay, Flow Cytometry, Standard Deviation

    YHD can induce mitochondrial dysfunction in osteosarcoma (OS) cells. (A) Real-time quantitative PCR was used to measure mitochondrial DNA (mtDNA) levels. (B, C) Western blot analysis detected the effect of YHD on the expression levels of proteins related to mitochondrial biogenesis in OS cells. (D, E) JC-1 staining detected the effect of YHD on the mitochondrial membrane potential in OS cells. (F, G) MitoSOX staining detected the effect of YHD on mitochondrial ROS levels in OS cells. (H) Seahorse XFe24 analyzer measured the effect of YHD on the oxygen consumption rate (OCR) in OS cells. (I) The effect of YHD on ATP content in OS cells. Data were presented as mean ± standard deviation ( n = 3). ∗ p < 0.05 and ∗∗ p < 0.01 versus the blank group.
    Figure Legend Snippet: YHD can induce mitochondrial dysfunction in osteosarcoma (OS) cells. (A) Real-time quantitative PCR was used to measure mitochondrial DNA (mtDNA) levels. (B, C) Western blot analysis detected the effect of YHD on the expression levels of proteins related to mitochondrial biogenesis in OS cells. (D, E) JC-1 staining detected the effect of YHD on the mitochondrial membrane potential in OS cells. (F, G) MitoSOX staining detected the effect of YHD on mitochondrial ROS levels in OS cells. (H) Seahorse XFe24 analyzer measured the effect of YHD on the oxygen consumption rate (OCR) in OS cells. (I) The effect of YHD on ATP content in OS cells. Data were presented as mean ± standard deviation ( n = 3). ∗ p < 0.05 and ∗∗ p < 0.01 versus the blank group.

    Techniques Used: Real-time Polymerase Chain Reaction, Western Blot, Expressing, Staining, Membrane, Standard Deviation

    YHD exerts anti-tumor effects on osteosarcoma (OS) cells through the PI3K/AKT and p38 signaling pathways. (A) Principal component analysis revealed a clear distinction in gene expression profiles between the control and YHD groups. (B) Volcano plot identified 3495 differentially expressed genes in the YHD group. (C) Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. (D – G) Gene Set Enrichment Analysis (GSEA) of control and YHD groups. (H, I) Western blot analysis detected the effect of YHD on proteins related to the PI3K/AKT and MAPK pathways in OS cells. (J, K) After the addition of a PI3K activator and a P38 inhibitor, scratch healing assay showed that YHD inhibited the migration of OS cells. (L, M) After the addition of a PI3K activator and a P38 inhibitor, JC-1 staining detected the effect of YHD on the mitochondrial membrane potential in OS cells. Data were presented as mean ± standard deviation ( n = 3). ∗ p < 0.05 and ∗∗ p < 0.01 versus the blank group.
    Figure Legend Snippet: YHD exerts anti-tumor effects on osteosarcoma (OS) cells through the PI3K/AKT and p38 signaling pathways. (A) Principal component analysis revealed a clear distinction in gene expression profiles between the control and YHD groups. (B) Volcano plot identified 3495 differentially expressed genes in the YHD group. (C) Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. (D – G) Gene Set Enrichment Analysis (GSEA) of control and YHD groups. (H, I) Western blot analysis detected the effect of YHD on proteins related to the PI3K/AKT and MAPK pathways in OS cells. (J, K) After the addition of a PI3K activator and a P38 inhibitor, scratch healing assay showed that YHD inhibited the migration of OS cells. (L, M) After the addition of a PI3K activator and a P38 inhibitor, JC-1 staining detected the effect of YHD on the mitochondrial membrane potential in OS cells. Data were presented as mean ± standard deviation ( n = 3). ∗ p < 0.05 and ∗∗ p < 0.01 versus the blank group.

    Techniques Used: Protein-Protein interactions, Gene Expression, Control, Western Blot, Migration, Staining, Membrane, Standard Deviation



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    Image Search Results


    Identification of active compounds and target prediction in YHD. (A) Venn diagram of the target of YHD and the target of osteosarcoma. (B – D) Gene Ontology (GO) enrichment analysis results. (E, F) Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis results. (G) The component-target-pathway-disease network implicated in the mechanism of YHD in osteosarcoma treatment. The triangles represent osteosarcoma, the diamonds represent pathways, the circles represent key genes, and the squares represent the active ingredients of YHD. (H) Heatmap of molecular docking score. A binding energy heatmap with a bluer color indicates a more stable binding. (I) Molecular docking visualization between the active components of YHD and key targets.

    Journal: Genes & Diseases

    Article Title: Network pharmacology reveals that Yanghe Decoction inhibits osteosarcoma progression via ROS-induced mitochondrial dysfunction and enhances cisplatin sensitivity

    doi: 10.1016/j.gendis.2025.101862

    Figure Lengend Snippet: Identification of active compounds and target prediction in YHD. (A) Venn diagram of the target of YHD and the target of osteosarcoma. (B – D) Gene Ontology (GO) enrichment analysis results. (E, F) Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis results. (G) The component-target-pathway-disease network implicated in the mechanism of YHD in osteosarcoma treatment. The triangles represent osteosarcoma, the diamonds represent pathways, the circles represent key genes, and the squares represent the active ingredients of YHD. (H) Heatmap of molecular docking score. A binding energy heatmap with a bluer color indicates a more stable binding. (I) Molecular docking visualization between the active components of YHD and key targets.

    Article Snippet: Human osteosarcoma cell lines (HOS, 143B), human bone marrow stromal cells (HS-5), human proximal renal tubular epithelial cells (HK-2), and human normal liver cells (LO2) were all purchased from the American Type Culture Collection (ATCC).

    Techniques: Binding Assay

    YHD selectively inhibits osteosarcoma (OS) cells without affecting the viability or apoptosis of normal human cells. (A, B) CCK8 assay detected the effect of YHD on the viability of OS cells at 24 h and 48 h. (C, D) Colony formation assay detected the effect of YHD on the colony-forming ability of OS cells. (E – G) Flow cytometry was used to detect the effect of YHD on the cell cycle of OS cells. (H – J) Western blot analysis detected the effect of YHD on the levels of proliferation-related proteins in OS cells. Data were presented as mean ± standard deviation ( n = 3). ∗ p < 0.05 and ∗∗ p < 0.01 versus the blank group.

    Journal: Genes & Diseases

    Article Title: Network pharmacology reveals that Yanghe Decoction inhibits osteosarcoma progression via ROS-induced mitochondrial dysfunction and enhances cisplatin sensitivity

    doi: 10.1016/j.gendis.2025.101862

    Figure Lengend Snippet: YHD selectively inhibits osteosarcoma (OS) cells without affecting the viability or apoptosis of normal human cells. (A, B) CCK8 assay detected the effect of YHD on the viability of OS cells at 24 h and 48 h. (C, D) Colony formation assay detected the effect of YHD on the colony-forming ability of OS cells. (E – G) Flow cytometry was used to detect the effect of YHD on the cell cycle of OS cells. (H – J) Western blot analysis detected the effect of YHD on the levels of proliferation-related proteins in OS cells. Data were presented as mean ± standard deviation ( n = 3). ∗ p < 0.05 and ∗∗ p < 0.01 versus the blank group.

    Article Snippet: Human osteosarcoma cell lines (HOS, 143B), human bone marrow stromal cells (HS-5), human proximal renal tubular epithelial cells (HK-2), and human normal liver cells (LO2) were all purchased from the American Type Culture Collection (ATCC).

    Techniques: CCK-8 Assay, Colony Assay, Flow Cytometry, Western Blot, Standard Deviation

    YHD can inhibit the migration and invasion of osteosarcoma (OS) cells, and promote their apoptosis. (A, B) Scratch healing assay showed that YHD inhibited the migration of OS cells. (C, D) Transwell assay showed that YHD inhibited the invasion of OS cells. (E – G) Western blot analysis detected the effect of YHD on the levels of proteins related to migration and invasion in OS cells. (H–K) Flow cytometry was used to detect the effect of YHD on apoptosis in OS cells. (L – N) Western blot analysis detected the effect of YHD on the levels of apoptosis-related proteins in OS cells. Data were presented as mean ± standard deviation ( n = 3). ∗ p < 0.05 and ∗∗ p < 0.01 versus the blank group.

    Journal: Genes & Diseases

    Article Title: Network pharmacology reveals that Yanghe Decoction inhibits osteosarcoma progression via ROS-induced mitochondrial dysfunction and enhances cisplatin sensitivity

    doi: 10.1016/j.gendis.2025.101862

    Figure Lengend Snippet: YHD can inhibit the migration and invasion of osteosarcoma (OS) cells, and promote their apoptosis. (A, B) Scratch healing assay showed that YHD inhibited the migration of OS cells. (C, D) Transwell assay showed that YHD inhibited the invasion of OS cells. (E – G) Western blot analysis detected the effect of YHD on the levels of proteins related to migration and invasion in OS cells. (H–K) Flow cytometry was used to detect the effect of YHD on apoptosis in OS cells. (L – N) Western blot analysis detected the effect of YHD on the levels of apoptosis-related proteins in OS cells. Data were presented as mean ± standard deviation ( n = 3). ∗ p < 0.05 and ∗∗ p < 0.01 versus the blank group.

    Article Snippet: Human osteosarcoma cell lines (HOS, 143B), human bone marrow stromal cells (HS-5), human proximal renal tubular epithelial cells (HK-2), and human normal liver cells (LO2) were all purchased from the American Type Culture Collection (ATCC).

    Techniques: Migration, Transwell Assay, Western Blot, Flow Cytometry, Standard Deviation

    YHD induces osteosarcoma (OS) cell death by increasing ROS levels. (A) The effect of YHD on ROS levels in OS cells was detected using the DCFH probe method. (B) After N-acetylcysteine (NAC) treatment, the effect of YHD on ROS levels in OS cells was detected using the DCFH probe method. (C) After NAC treatment, CCK8 assay detected the effect of YHD on the viability of OS cells at 24 h and 48 h. (D, E) After NAC treatment, scratch healing assay showed that YHD inhibited the migration of OS cells. (F, G) After NAC treatment, Transwell assay showed that YHD inhibited the invasion of OS cells. (H, I) After NAC treatment, flow cytometry was used to detect the effect of YHD on the apoptosis of OS cells. Data were presented as mean ± standard deviation ( n = 3). ∗ p < 0.05 and ∗∗ p < 0.01 versus the blank group.

    Journal: Genes & Diseases

    Article Title: Network pharmacology reveals that Yanghe Decoction inhibits osteosarcoma progression via ROS-induced mitochondrial dysfunction and enhances cisplatin sensitivity

    doi: 10.1016/j.gendis.2025.101862

    Figure Lengend Snippet: YHD induces osteosarcoma (OS) cell death by increasing ROS levels. (A) The effect of YHD on ROS levels in OS cells was detected using the DCFH probe method. (B) After N-acetylcysteine (NAC) treatment, the effect of YHD on ROS levels in OS cells was detected using the DCFH probe method. (C) After NAC treatment, CCK8 assay detected the effect of YHD on the viability of OS cells at 24 h and 48 h. (D, E) After NAC treatment, scratch healing assay showed that YHD inhibited the migration of OS cells. (F, G) After NAC treatment, Transwell assay showed that YHD inhibited the invasion of OS cells. (H, I) After NAC treatment, flow cytometry was used to detect the effect of YHD on the apoptosis of OS cells. Data were presented as mean ± standard deviation ( n = 3). ∗ p < 0.05 and ∗∗ p < 0.01 versus the blank group.

    Article Snippet: Human osteosarcoma cell lines (HOS, 143B), human bone marrow stromal cells (HS-5), human proximal renal tubular epithelial cells (HK-2), and human normal liver cells (LO2) were all purchased from the American Type Culture Collection (ATCC).

    Techniques: CCK-8 Assay, Migration, Transwell Assay, Flow Cytometry, Standard Deviation

    YHD can induce mitochondrial dysfunction in osteosarcoma (OS) cells. (A) Real-time quantitative PCR was used to measure mitochondrial DNA (mtDNA) levels. (B, C) Western blot analysis detected the effect of YHD on the expression levels of proteins related to mitochondrial biogenesis in OS cells. (D, E) JC-1 staining detected the effect of YHD on the mitochondrial membrane potential in OS cells. (F, G) MitoSOX staining detected the effect of YHD on mitochondrial ROS levels in OS cells. (H) Seahorse XFe24 analyzer measured the effect of YHD on the oxygen consumption rate (OCR) in OS cells. (I) The effect of YHD on ATP content in OS cells. Data were presented as mean ± standard deviation ( n = 3). ∗ p < 0.05 and ∗∗ p < 0.01 versus the blank group.

    Journal: Genes & Diseases

    Article Title: Network pharmacology reveals that Yanghe Decoction inhibits osteosarcoma progression via ROS-induced mitochondrial dysfunction and enhances cisplatin sensitivity

    doi: 10.1016/j.gendis.2025.101862

    Figure Lengend Snippet: YHD can induce mitochondrial dysfunction in osteosarcoma (OS) cells. (A) Real-time quantitative PCR was used to measure mitochondrial DNA (mtDNA) levels. (B, C) Western blot analysis detected the effect of YHD on the expression levels of proteins related to mitochondrial biogenesis in OS cells. (D, E) JC-1 staining detected the effect of YHD on the mitochondrial membrane potential in OS cells. (F, G) MitoSOX staining detected the effect of YHD on mitochondrial ROS levels in OS cells. (H) Seahorse XFe24 analyzer measured the effect of YHD on the oxygen consumption rate (OCR) in OS cells. (I) The effect of YHD on ATP content in OS cells. Data were presented as mean ± standard deviation ( n = 3). ∗ p < 0.05 and ∗∗ p < 0.01 versus the blank group.

    Article Snippet: Human osteosarcoma cell lines (HOS, 143B), human bone marrow stromal cells (HS-5), human proximal renal tubular epithelial cells (HK-2), and human normal liver cells (LO2) were all purchased from the American Type Culture Collection (ATCC).

    Techniques: Real-time Polymerase Chain Reaction, Western Blot, Expressing, Staining, Membrane, Standard Deviation

    YHD exerts anti-tumor effects on osteosarcoma (OS) cells through the PI3K/AKT and p38 signaling pathways. (A) Principal component analysis revealed a clear distinction in gene expression profiles between the control and YHD groups. (B) Volcano plot identified 3495 differentially expressed genes in the YHD group. (C) Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. (D – G) Gene Set Enrichment Analysis (GSEA) of control and YHD groups. (H, I) Western blot analysis detected the effect of YHD on proteins related to the PI3K/AKT and MAPK pathways in OS cells. (J, K) After the addition of a PI3K activator and a P38 inhibitor, scratch healing assay showed that YHD inhibited the migration of OS cells. (L, M) After the addition of a PI3K activator and a P38 inhibitor, JC-1 staining detected the effect of YHD on the mitochondrial membrane potential in OS cells. Data were presented as mean ± standard deviation ( n = 3). ∗ p < 0.05 and ∗∗ p < 0.01 versus the blank group.

    Journal: Genes & Diseases

    Article Title: Network pharmacology reveals that Yanghe Decoction inhibits osteosarcoma progression via ROS-induced mitochondrial dysfunction and enhances cisplatin sensitivity

    doi: 10.1016/j.gendis.2025.101862

    Figure Lengend Snippet: YHD exerts anti-tumor effects on osteosarcoma (OS) cells through the PI3K/AKT and p38 signaling pathways. (A) Principal component analysis revealed a clear distinction in gene expression profiles between the control and YHD groups. (B) Volcano plot identified 3495 differentially expressed genes in the YHD group. (C) Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. (D – G) Gene Set Enrichment Analysis (GSEA) of control and YHD groups. (H, I) Western blot analysis detected the effect of YHD on proteins related to the PI3K/AKT and MAPK pathways in OS cells. (J, K) After the addition of a PI3K activator and a P38 inhibitor, scratch healing assay showed that YHD inhibited the migration of OS cells. (L, M) After the addition of a PI3K activator and a P38 inhibitor, JC-1 staining detected the effect of YHD on the mitochondrial membrane potential in OS cells. Data were presented as mean ± standard deviation ( n = 3). ∗ p < 0.05 and ∗∗ p < 0.01 versus the blank group.

    Article Snippet: Human osteosarcoma cell lines (HOS, 143B), human bone marrow stromal cells (HS-5), human proximal renal tubular epithelial cells (HK-2), and human normal liver cells (LO2) were all purchased from the American Type Culture Collection (ATCC).

    Techniques: Protein-Protein interactions, Gene Expression, Control, Western Blot, Migration, Staining, Membrane, Standard Deviation

    Representative dose‒response curves used to determine the IC50 values for a well-established osteosarcoma cell line, MG63 (REG IC 50 26±3 µM) ( a ), and primary cells, APR1 (REG IC 50 42±12 µM) ( b ). Data are presented as mean ± SD from n = 3 biological replicates, each performed in 4 technical replicates.

    Journal: Cancer Management and Research

    Article Title: Regorafenib-Induced Stress Response Alters the Bioenergetic Profile of Osteosarcoma Cells and Modulates Gene Expression Associated with Metabolic regulation-a Potential Mechanism of Osteosarcoma Treatment-Related Adaptation

    doi: 10.2147/CMAR.S562346

    Figure Lengend Snippet: Representative dose‒response curves used to determine the IC50 values for a well-established osteosarcoma cell line, MG63 (REG IC 50 26±3 µM) ( a ), and primary cells, APR1 (REG IC 50 42±12 µM) ( b ). Data are presented as mean ± SD from n = 3 biological replicates, each performed in 4 technical replicates.

    Article Snippet: Regorafenib activity was analyzed in vitro using a well-established human osteosarcoma cell line, MG63 (ATCC; CRL-1427), and primary APR1 cells established from patient tissue.

    Techniques:

    Visualization of the morphology of MG63 and APR1 osteosarcoma cells by epifluorescence microscopy under control (DMSO-treated) and regorafenib-treated (IC50) conditions. Key cellular structures were visualized via fluorescent dyes: the nuclei were stained with DAPI (blue), the actin cytoskeleton was stained with phalloidin Atto-488 (green), and the mitochondrial network was stained with mitoRed (red). Magnification 100x, scale bar: 200 µm; 200x, scale bar: 100 µm.

    Journal: Cancer Management and Research

    Article Title: Regorafenib-Induced Stress Response Alters the Bioenergetic Profile of Osteosarcoma Cells and Modulates Gene Expression Associated with Metabolic regulation-a Potential Mechanism of Osteosarcoma Treatment-Related Adaptation

    doi: 10.2147/CMAR.S562346

    Figure Lengend Snippet: Visualization of the morphology of MG63 and APR1 osteosarcoma cells by epifluorescence microscopy under control (DMSO-treated) and regorafenib-treated (IC50) conditions. Key cellular structures were visualized via fluorescent dyes: the nuclei were stained with DAPI (blue), the actin cytoskeleton was stained with phalloidin Atto-488 (green), and the mitochondrial network was stained with mitoRed (red). Magnification 100x, scale bar: 200 µm; 200x, scale bar: 100 µm.

    Article Snippet: Regorafenib activity was analyzed in vitro using a well-established human osteosarcoma cell line, MG63 (ATCC; CRL-1427), and primary APR1 cells established from patient tissue.

    Techniques: Epifluorescence Microscopy, Control, Staining

    The invasion of the osteosarcoma cell lines MG63 and APR1 is modulated by regorafenib. Representative images ( a ) and quantitative analysis ( b ) illustrating the invasive capacity of MG63 and APR1 cells following treatment with regorafenib at the IC50 concentration. Magnification: 40-fold and 100-fold; scale bar: 100 µm. Statistical significance was indicated via asterisks ****p<0.0001. Data are shown as mean ± SD based on three independent biological replicates, each assessed in two technical replicates, with two images per replicate subjected to ImageJ analysis. Results are expressed as the percentage of migrated cells per field and normalized to the corresponding control conditions.

    Journal: Cancer Management and Research

    Article Title: Regorafenib-Induced Stress Response Alters the Bioenergetic Profile of Osteosarcoma Cells and Modulates Gene Expression Associated with Metabolic regulation-a Potential Mechanism of Osteosarcoma Treatment-Related Adaptation

    doi: 10.2147/CMAR.S562346

    Figure Lengend Snippet: The invasion of the osteosarcoma cell lines MG63 and APR1 is modulated by regorafenib. Representative images ( a ) and quantitative analysis ( b ) illustrating the invasive capacity of MG63 and APR1 cells following treatment with regorafenib at the IC50 concentration. Magnification: 40-fold and 100-fold; scale bar: 100 µm. Statistical significance was indicated via asterisks ****p<0.0001. Data are shown as mean ± SD based on three independent biological replicates, each assessed in two technical replicates, with two images per replicate subjected to ImageJ analysis. Results are expressed as the percentage of migrated cells per field and normalized to the corresponding control conditions.

    Article Snippet: Regorafenib activity was analyzed in vitro using a well-established human osteosarcoma cell line, MG63 (ATCC; CRL-1427), and primary APR1 cells established from patient tissue.

    Techniques: Concentration Assay, Control

    The DNA content distribution in the osteosarcoma cell lines was assessed via flow cytometry. Representative histograms ( a ) illustrate the proliferative status of cells across the cell cycle phases in the control and regorafenib-treated groups. The cells were classified into three distinct populations: G0/G1 phase, S phase, and G2/M phase ( b ). Statistically significant differences are indicated by asterisks (**p < 0.01 and ***p < 0.001), whereas comparisons with no statistically significant differences are marked as “ns”. Values represent the mean ± SD derived from two independent biological replicates, each including three technical replicates.

    Journal: Cancer Management and Research

    Article Title: Regorafenib-Induced Stress Response Alters the Bioenergetic Profile of Osteosarcoma Cells and Modulates Gene Expression Associated with Metabolic regulation-a Potential Mechanism of Osteosarcoma Treatment-Related Adaptation

    doi: 10.2147/CMAR.S562346

    Figure Lengend Snippet: The DNA content distribution in the osteosarcoma cell lines was assessed via flow cytometry. Representative histograms ( a ) illustrate the proliferative status of cells across the cell cycle phases in the control and regorafenib-treated groups. The cells were classified into three distinct populations: G0/G1 phase, S phase, and G2/M phase ( b ). Statistically significant differences are indicated by asterisks (**p < 0.01 and ***p < 0.001), whereas comparisons with no statistically significant differences are marked as “ns”. Values represent the mean ± SD derived from two independent biological replicates, each including three technical replicates.

    Article Snippet: Regorafenib activity was analyzed in vitro using a well-established human osteosarcoma cell line, MG63 (ATCC; CRL-1427), and primary APR1 cells established from patient tissue.

    Techniques: Flow Cytometry, Control, Derivative Assay

    Effect of regorafenib at the IC 5 0 concentration on the expression profile of genes associated with cancer-related pathways in MG63 ( a ) and APR1 ( b ) osteosarcoma cell lines. The x-axis of volcano plot represents log 2 (fold regulation) and the y-axis −log 1 0 (p-value). Upregulated genes are marked with red upward arrows, whereas downregulated genes are marked with green downward arrows. Genes consistently up- or downregulated in both MG-63 and APR-1 cells are additionally highlighted with light-red or light-green circles, respectively. Vertical dashed lines indicate the fold-change cutoff used to define differential expression.Genes showing expression changes of at least 2-fold were classified as differentially expressed. Gene expression levels were normalized to those of reference genes ( ACTB , B2M , RPLP0 , and GAPDH ) and calculated using the 2^(-ΔΔCt) method. The reactions for this assay were performed using three independent biological replicates, each processed as one technical replicate.

    Journal: Cancer Management and Research

    Article Title: Regorafenib-Induced Stress Response Alters the Bioenergetic Profile of Osteosarcoma Cells and Modulates Gene Expression Associated with Metabolic regulation-a Potential Mechanism of Osteosarcoma Treatment-Related Adaptation

    doi: 10.2147/CMAR.S562346

    Figure Lengend Snippet: Effect of regorafenib at the IC 5 0 concentration on the expression profile of genes associated with cancer-related pathways in MG63 ( a ) and APR1 ( b ) osteosarcoma cell lines. The x-axis of volcano plot represents log 2 (fold regulation) and the y-axis −log 1 0 (p-value). Upregulated genes are marked with red upward arrows, whereas downregulated genes are marked with green downward arrows. Genes consistently up- or downregulated in both MG-63 and APR-1 cells are additionally highlighted with light-red or light-green circles, respectively. Vertical dashed lines indicate the fold-change cutoff used to define differential expression.Genes showing expression changes of at least 2-fold were classified as differentially expressed. Gene expression levels were normalized to those of reference genes ( ACTB , B2M , RPLP0 , and GAPDH ) and calculated using the 2^(-ΔΔCt) method. The reactions for this assay were performed using three independent biological replicates, each processed as one technical replicate.

    Article Snippet: Regorafenib activity was analyzed in vitro using a well-established human osteosarcoma cell line, MG63 (ATCC; CRL-1427), and primary APR1 cells established from patient tissue.

    Techniques: Concentration Assay, Expressing, Quantitative Proteomics, Gene Expression

    Heatmap illustrating the expression profiles of all 84 genes involved in pathways associated with oncogenesis. The heatmap provides a comprehensive overview of gene expression modulation in MG63 and APR1 osteosarcoma cell lines following treatment with regorafenib at the IC50 concentration.

    Journal: Cancer Management and Research

    Article Title: Regorafenib-Induced Stress Response Alters the Bioenergetic Profile of Osteosarcoma Cells and Modulates Gene Expression Associated with Metabolic regulation-a Potential Mechanism of Osteosarcoma Treatment-Related Adaptation

    doi: 10.2147/CMAR.S562346

    Figure Lengend Snippet: Heatmap illustrating the expression profiles of all 84 genes involved in pathways associated with oncogenesis. The heatmap provides a comprehensive overview of gene expression modulation in MG63 and APR1 osteosarcoma cell lines following treatment with regorafenib at the IC50 concentration.

    Article Snippet: Regorafenib activity was analyzed in vitro using a well-established human osteosarcoma cell line, MG63 (ATCC; CRL-1427), and primary APR1 cells established from patient tissue.

    Techniques: Expressing, Gene Expression, Concentration Assay

    ( A and C ) Representative microscopic images of BrdU incorporation assays in U2OS and MG63 osteosarcoma cells under normoxic (control) and CoCl 2 induced hypoxic conditions. Scale bar = 50 μm. ( B and D ) Quantification of BrdU-positive cells showing a significant decrease in proliferation in hypoxic U2OS and MG63 cells compared with their respective controls (n ≥ 20 cells per condition). ( E and G ) Representative images of colony-formation assays in control and CoCl₂-treated hypoxic U2OS and MG63 cells, respectively. (F and H) Quantification of colony numbers showing a marked reduction in the clonogenic potential of hypoxic osteosarcoma cells. ( I and K ). Representative images of cell-migration assays in U2OS and MG63 cells under control and hypoxic conditions. Scale bar = 50 µm. ( J and L) Quantification of migrated cells showed a significant reduction in the migratory capacity of hypoxic U2OS and MG63 cells, respectively. Statistical significance was calculated using two-tailed Student’s t -test and is represented as mean ± SD from three biological replicates. ns: non-significant, *P < 0.05, **P < 0.005, ***P < 0.0005, ****P < 0.0001.

    Journal: bioRxiv

    Article Title: Cytoplasmic capping enzyme targeted, hypoxia-responsive RNAs, RORA and KCTD16 modulate the aggressiveness of CoCl 2 -induced hypoxic osteosarcoma cells

    doi: 10.64898/2026.03.30.715387

    Figure Lengend Snippet: ( A and C ) Representative microscopic images of BrdU incorporation assays in U2OS and MG63 osteosarcoma cells under normoxic (control) and CoCl 2 induced hypoxic conditions. Scale bar = 50 μm. ( B and D ) Quantification of BrdU-positive cells showing a significant decrease in proliferation in hypoxic U2OS and MG63 cells compared with their respective controls (n ≥ 20 cells per condition). ( E and G ) Representative images of colony-formation assays in control and CoCl₂-treated hypoxic U2OS and MG63 cells, respectively. (F and H) Quantification of colony numbers showing a marked reduction in the clonogenic potential of hypoxic osteosarcoma cells. ( I and K ). Representative images of cell-migration assays in U2OS and MG63 cells under control and hypoxic conditions. Scale bar = 50 µm. ( J and L) Quantification of migrated cells showed a significant reduction in the migratory capacity of hypoxic U2OS and MG63 cells, respectively. Statistical significance was calculated using two-tailed Student’s t -test and is represented as mean ± SD from three biological replicates. ns: non-significant, *P < 0.05, **P < 0.005, ***P < 0.0005, ****P < 0.0001.

    Article Snippet: Human osteosarcoma cell lines U2OS and MG63 were procured from the American Type Culture Collection (ATCC) and the National Centre for Cell Science (NCCS), Pune, respectively.

    Techniques: BrdU Incorporation Assay, Control, Migration, Two Tailed Test

    ( A ) U2OS cells, either stably expressing K294A upon doxycycline induction or uninduced controls, were biochemically fractionated into nuclear and cytoplasmic compartments. Western blot analysis confirmed fractionation quality using Lamin A/C as a nuclear marker and GAPDH as a cytoplasmic marker. Myc blotting verified the expression of K294A upon doxycycline induction. ( B ) Quantitative real-time PCR analysis revealed a significant reduction in the cytoplasmic levels of RORA and KCTD16 transcripts in K294A expressing cells compared with controls, while BNIP3 levels remained unchanged. ( C ) Western blot analysis further confirmed decreased protein levels of RORA and KCTD16 in K294A-expressing cells. Myc blotting verified stable K294A expression. ( D ) Densitometric analysis of RORA and KCTD16 protein bands from panel C was performed using ImageJ software. β-Actin was used as a loading control for normalization. Statistical analysis was calculated by performing two-tailed Student’s t -test. ( E ) Table summarizing the internal CAGE (Cap Analysis of Gene Expression) sites identified within the analysed transcripts, with the specific positions highlighted in red. ( F - J ) Bar graphs representing the genomic distribution of CAGE peaks for each gene, illustrating the relative frequency of CAGE signals across different transcript regions. ( K ) Schematic illustration of the Xrn1 susceptibility assay used to assess the stability of 5′-capped transcripts. ( L ) Relative 5′-end loss of RORA and KCTD16 was assessed using an in vitro Xrn1 susceptibility assay. In K294A-expressing cells, both transcripts exhibited a level of 5′-end loss comparable to STAT3 , a known cCE target, relative to control cells. Statistical analysis was performed using one sample Student’s t -test. ( M ) Western blot analysis showing Xrn1 protein levels in Xrn1 knockdown cells with or without doxycycline-induced K294A expression. Myc detection confirmed successful induction of the dominant-negative cCE mutant. ( N ) Quantification of Xrn1 knockdown efficiency was performed using ImageJ software, with β-Actin serving as the internal loading control. ( O ) RORA and KCTD16 exhibited the most pronounced rescue in Xrn1 knockdown cells expressing K294A, indicating their strong dependence on cytoplasmic capping for stability. Statistical significance was determined using one-way ANOVA. All the data is represented as mean ± SD from three biological replicates. ns: non-significant, *P < 0.05, **P < 0.005, ***P < 0.0005, ****P < 0.0001.

    Journal: bioRxiv

    Article Title: Cytoplasmic capping enzyme targeted, hypoxia-responsive RNAs, RORA and KCTD16 modulate the aggressiveness of CoCl 2 -induced hypoxic osteosarcoma cells

    doi: 10.64898/2026.03.30.715387

    Figure Lengend Snippet: ( A ) U2OS cells, either stably expressing K294A upon doxycycline induction or uninduced controls, were biochemically fractionated into nuclear and cytoplasmic compartments. Western blot analysis confirmed fractionation quality using Lamin A/C as a nuclear marker and GAPDH as a cytoplasmic marker. Myc blotting verified the expression of K294A upon doxycycline induction. ( B ) Quantitative real-time PCR analysis revealed a significant reduction in the cytoplasmic levels of RORA and KCTD16 transcripts in K294A expressing cells compared with controls, while BNIP3 levels remained unchanged. ( C ) Western blot analysis further confirmed decreased protein levels of RORA and KCTD16 in K294A-expressing cells. Myc blotting verified stable K294A expression. ( D ) Densitometric analysis of RORA and KCTD16 protein bands from panel C was performed using ImageJ software. β-Actin was used as a loading control for normalization. Statistical analysis was calculated by performing two-tailed Student’s t -test. ( E ) Table summarizing the internal CAGE (Cap Analysis of Gene Expression) sites identified within the analysed transcripts, with the specific positions highlighted in red. ( F - J ) Bar graphs representing the genomic distribution of CAGE peaks for each gene, illustrating the relative frequency of CAGE signals across different transcript regions. ( K ) Schematic illustration of the Xrn1 susceptibility assay used to assess the stability of 5′-capped transcripts. ( L ) Relative 5′-end loss of RORA and KCTD16 was assessed using an in vitro Xrn1 susceptibility assay. In K294A-expressing cells, both transcripts exhibited a level of 5′-end loss comparable to STAT3 , a known cCE target, relative to control cells. Statistical analysis was performed using one sample Student’s t -test. ( M ) Western blot analysis showing Xrn1 protein levels in Xrn1 knockdown cells with or without doxycycline-induced K294A expression. Myc detection confirmed successful induction of the dominant-negative cCE mutant. ( N ) Quantification of Xrn1 knockdown efficiency was performed using ImageJ software, with β-Actin serving as the internal loading control. ( O ) RORA and KCTD16 exhibited the most pronounced rescue in Xrn1 knockdown cells expressing K294A, indicating their strong dependence on cytoplasmic capping for stability. Statistical significance was determined using one-way ANOVA. All the data is represented as mean ± SD from three biological replicates. ns: non-significant, *P < 0.05, **P < 0.005, ***P < 0.0005, ****P < 0.0001.

    Article Snippet: Human osteosarcoma cell lines U2OS and MG63 were procured from the American Type Culture Collection (ATCC) and the National Centre for Cell Science (NCCS), Pune, respectively.

    Techniques: Stable Transfection, Expressing, Western Blot, Fractionation, Marker, Real-time Polymerase Chain Reaction, Software, Control, Two Tailed Test, Gene Expression, Drug Susceptibility Assay, In Vitro, Knockdown, Dominant Negative Mutation, Mutagenesis

    ( A and B ) qPCR analysis of the selected transcripts in U2OS and MG63 cells revealed reduced expression following treatment with the HIF1α inhibitor PX478, irrespective of hypoxia induction. ( C and E ) Western blot analysis of U2OS and MG63 cells demonstrated reduced protein levels of all selected targets, including HIF1α, in PX478-treated hypoxic samples. ( D and F ) Quantification of western blot band intensities corresponding to panels C and E was performed using ImageJ software. β-Actin served as the loading control for normalization. Data are presented as mean ± SD from three biological replicates. Statistical significance was determined using one-way ANOVA. ns, not significant; *P < 0.05; **P < 0.005; ***P < 0.0005; ****P < 0.0001.

    Journal: bioRxiv

    Article Title: Cytoplasmic capping enzyme targeted, hypoxia-responsive RNAs, RORA and KCTD16 modulate the aggressiveness of CoCl 2 -induced hypoxic osteosarcoma cells

    doi: 10.64898/2026.03.30.715387

    Figure Lengend Snippet: ( A and B ) qPCR analysis of the selected transcripts in U2OS and MG63 cells revealed reduced expression following treatment with the HIF1α inhibitor PX478, irrespective of hypoxia induction. ( C and E ) Western blot analysis of U2OS and MG63 cells demonstrated reduced protein levels of all selected targets, including HIF1α, in PX478-treated hypoxic samples. ( D and F ) Quantification of western blot band intensities corresponding to panels C and E was performed using ImageJ software. β-Actin served as the loading control for normalization. Data are presented as mean ± SD from three biological replicates. Statistical significance was determined using one-way ANOVA. ns, not significant; *P < 0.05; **P < 0.005; ***P < 0.0005; ****P < 0.0001.

    Article Snippet: Human osteosarcoma cell lines U2OS and MG63 were procured from the American Type Culture Collection (ATCC) and the National Centre for Cell Science (NCCS), Pune, respectively.

    Techniques: Expressing, Western Blot, Software, Control

    ( A ) Western blot analysis of c-Myc protein levels in U2OS cells under normoxic and CoCl₂-induced hypoxic conditions. ( B ) Densitometric quantification of c-Myc expression from panel A using ImageJ, showing reduced c-Myc levels in hypoxic U2OS cells. β-Actin served as the loading control. Statistical significance was determined using two-tailed Student’s t -test. ( C and E ) Western blots showing siRNA-mediated depletion of RORA ( C ) and KCTD16 ( I ) in U2OS and MG63 cells under hypoxic conditions. HIF1α blot confirms hypoxia induction. c-Myc levels were elevated upon depletion of either gene. ( D and J ) ImageJ-based densitometric quantification of blots from panels C and I , normalized to β-actin. Statistical analysis was performed using one-way ANOVA. ( E and K ) Representative microscopic images of BrdU incorporation assays in RORA and KCTD16 depleted hypoxic U2OS and MG63 cells, respectively. Scale bar = 50 μm. ( F and L ) Quantification of BrdU-positive cells showing increased proliferation upon RORA or KCTD16 depletion under hypoxic conditions (n ≥ 20 cells per condition). ( G and M ) Representative images of colony formation assays in RORA-and KCTD16-depleted hypoxic osteosarcoma cells. ( H and N ) Quantitative analysis showing enhanced clonogenic potential following RORA or KCTD16 depletion in hypoxic cells. Statistical significance was calculated using one-way ANOVA. All the data is represented as ± SD from three biological replicates. ns: non-significant, *P < 0.05, **P < 0.005, ***P < 0.0005, ****P < 0.0001.

    Journal: bioRxiv

    Article Title: Cytoplasmic capping enzyme targeted, hypoxia-responsive RNAs, RORA and KCTD16 modulate the aggressiveness of CoCl 2 -induced hypoxic osteosarcoma cells

    doi: 10.64898/2026.03.30.715387

    Figure Lengend Snippet: ( A ) Western blot analysis of c-Myc protein levels in U2OS cells under normoxic and CoCl₂-induced hypoxic conditions. ( B ) Densitometric quantification of c-Myc expression from panel A using ImageJ, showing reduced c-Myc levels in hypoxic U2OS cells. β-Actin served as the loading control. Statistical significance was determined using two-tailed Student’s t -test. ( C and E ) Western blots showing siRNA-mediated depletion of RORA ( C ) and KCTD16 ( I ) in U2OS and MG63 cells under hypoxic conditions. HIF1α blot confirms hypoxia induction. c-Myc levels were elevated upon depletion of either gene. ( D and J ) ImageJ-based densitometric quantification of blots from panels C and I , normalized to β-actin. Statistical analysis was performed using one-way ANOVA. ( E and K ) Representative microscopic images of BrdU incorporation assays in RORA and KCTD16 depleted hypoxic U2OS and MG63 cells, respectively. Scale bar = 50 μm. ( F and L ) Quantification of BrdU-positive cells showing increased proliferation upon RORA or KCTD16 depletion under hypoxic conditions (n ≥ 20 cells per condition). ( G and M ) Representative images of colony formation assays in RORA-and KCTD16-depleted hypoxic osteosarcoma cells. ( H and N ) Quantitative analysis showing enhanced clonogenic potential following RORA or KCTD16 depletion in hypoxic cells. Statistical significance was calculated using one-way ANOVA. All the data is represented as ± SD from three biological replicates. ns: non-significant, *P < 0.05, **P < 0.005, ***P < 0.0005, ****P < 0.0001.

    Article Snippet: Human osteosarcoma cell lines U2OS and MG63 were procured from the American Type Culture Collection (ATCC) and the National Centre for Cell Science (NCCS), Pune, respectively.

    Techniques: Western Blot, Expressing, Control, Two Tailed Test, BrdU Incorporation Assay

    ( A and I ) Western blots showing RORA, KCTD16, and c-Myc levels in U2OS and MG63 cells, respectively. ( B and J ) Densitometric quantification of the blots using ImageJ demonstrated that overexpression of RORA or KCTD16 led to reduced c-Myc expression in both cell lines. β-Actin was used as a loading control for normalization. ( C and K ) Representative microscopic images of BrdU incorporation assays in RORA and KCTD16 overexpressing U2OS and MG63 cells, respectively. Scale bar = 50 μm. ( D and L ) Quantification of BrdU-positive cells showing significantly decreased proliferative capacity in RORA and KCTD16-overexpressing cells (n ≥ 20 cells per condition). ( E and M ) Representative images of colony formation assays in RORA and KCTD16 overexpressing osteosarcoma cells. ( F and N ) Quantification of colonies demonstrating a marked reduction in clonogenic potential upon RORA or KCTD16 overexpression. ( G and O ) Representative images of migration assays in RORA and KCTD16-overexpressing cells. Scale bar = 50 μm. ( H and P ) Quantification of migrated cells showing significantly impaired migratory capacity in RORA and KCTD16 overexpressing osteosarcoma cells. Statistical analysis was performed using one-way ANOVA, and all data are presented as mean ± SD from three independent biological replicates. Significance is indicated as follows: ns, not significant; *P < 0.05; **P < 0.005; ***P < 0.0005; ****P < 0.0001.

    Journal: bioRxiv

    Article Title: Cytoplasmic capping enzyme targeted, hypoxia-responsive RNAs, RORA and KCTD16 modulate the aggressiveness of CoCl 2 -induced hypoxic osteosarcoma cells

    doi: 10.64898/2026.03.30.715387

    Figure Lengend Snippet: ( A and I ) Western blots showing RORA, KCTD16, and c-Myc levels in U2OS and MG63 cells, respectively. ( B and J ) Densitometric quantification of the blots using ImageJ demonstrated that overexpression of RORA or KCTD16 led to reduced c-Myc expression in both cell lines. β-Actin was used as a loading control for normalization. ( C and K ) Representative microscopic images of BrdU incorporation assays in RORA and KCTD16 overexpressing U2OS and MG63 cells, respectively. Scale bar = 50 μm. ( D and L ) Quantification of BrdU-positive cells showing significantly decreased proliferative capacity in RORA and KCTD16-overexpressing cells (n ≥ 20 cells per condition). ( E and M ) Representative images of colony formation assays in RORA and KCTD16 overexpressing osteosarcoma cells. ( F and N ) Quantification of colonies demonstrating a marked reduction in clonogenic potential upon RORA or KCTD16 overexpression. ( G and O ) Representative images of migration assays in RORA and KCTD16-overexpressing cells. Scale bar = 50 μm. ( H and P ) Quantification of migrated cells showing significantly impaired migratory capacity in RORA and KCTD16 overexpressing osteosarcoma cells. Statistical analysis was performed using one-way ANOVA, and all data are presented as mean ± SD from three independent biological replicates. Significance is indicated as follows: ns, not significant; *P < 0.05; **P < 0.005; ***P < 0.0005; ****P < 0.0001.

    Article Snippet: Human osteosarcoma cell lines U2OS and MG63 were procured from the American Type Culture Collection (ATCC) and the National Centre for Cell Science (NCCS), Pune, respectively.

    Techniques: Western Blot, Over Expression, Expressing, Control, BrdU Incorporation Assay, Migration