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helicobacter infection human gastric cancer cell lines ags  (ATCC)


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    ATCC helicobacter infection human gastric cancer cell lines ags
    Helicobacter Infection Human Gastric Cancer Cell Lines Ags, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 3411 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/human+gastric+cell+lines/AGS/pm42173319-216-3-12
    Average 99 stars, based on 3411 article reviews
    helicobacter infection human gastric cancer cell lines ags - by Bioz Stars, 2026-10
    99/100 stars

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    Article Title: LncRNA E2F-Mediated Cell Proliferation Enhancing lncRNA Regulates Cancer Cell Behaviors and Affects Prognosis of Gastric Cancer.
    Article Snippet: Background A recent study reported a novel long non-coding RNA (lncRNA) E2F-mediated cell proliferation enhancing lncRNA (EPEL, human chromosome 4, intergenic region) plays an oncogenic role in lung cancer.. Aims We aimed to investigate the role of lncRNA EPEL in gastric cancer.. Methods Gene expression was analyzed by RT-qPCR and western blot.

    Article Title: AT101 exerts a synergetic efficacy in gastric cancer patients with 5-FU based treatment through promoting apoptosis and autophagy
    Article Snippet: AGS and NCI-N87 cells are human gastric cell lines that were obtained from ATCC (American Type Culture Collection) and were maintained in RPMI-1640 (Roswell Park Memorial Institute-1640) medium with 10% fetal bovine serum (Corning Cellgro Inc., Herndon, VA, USA).

    Article Title: Long Non-coding RNA LINC01503 Promotes Gastric Cancer Cell Proliferation and Invasion by Regulating Wnt Signaling.
    Article Snippet: Background Previous studies have indicated that the dysregulation of long non-coding RNAs plays an important role in tumors.. LINC01503 is a newly discovered lncRNA that promotes development of various tumor types.. However, the function of LINC01503 in gastric cancer has not been reported yet.

    Cell Culture:

    Article Title: AT101 exerts a synergetic efficacy in gastric cancer patients with 5-FU based treatment through promoting apoptosis and autophagy.
    Article Snippet: .. Cell lines and cell culture AGS and NCI-N87 cells are human gastric cell lines that were obtained from ATCC (American Type Culture Collection) and were maintained in RPMI-1640 (Roswell Park Memorial Institute-1640) medium with 10% fetal bovine serum (Corning Cellgro Inc., Herndon, VA, USA). ..

    Article Title: lncRNA HOXC-AS1 promotes gastric cancer via binding eIF4AIII by activating Wnt/β-catenin signaling.
    Article Snippet: Chao Zhou1, Na An2, Chunyan Cao3, Guodong Wang4* 1 Digestive System Department, Yankuang new journey general hospital, NO.560, East Kuangjian Road, Zoucheng, Jining City, Shandong Province, China l51vae@jczye.com 2 Qingdao central hospital, no.127, south siliu road, Shibei district, Qingdao City,Shandong Province, China nn25t4@jczye.com 3 Emergency Department,Qingdao Central Hospital, No.127, siliu South Road, Shibei District, Qingdao City,Shandong Province, China ibub6k@jczye.com 4 Digestive System Department, Changle County People's Hospital,No.. 278 Limin street, Changle County, Weifang City, Shandong Province,China. hj87566@126.com



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    Knockdown of SKA2 inhibits gastric cancer growth in vitro and in vivo (A) SKA2 mRNA expression levels in gastric cancer from the TCGA database via the GEPIA2 portal. ∗ p < 0.05. (B) The KM-Plotter database was used to demonstrate the impact of high SKA2 expression on the overall survival (OS) of patients with gastric cancer. (C–E) Relative cell growth of <t>SNU638,</t> NUGC3, and SNU668 SKA2-knockdown cell lines was detected using CCK-8 assay ( n = 5). (F–H) Colony formation assay showed inhibited viability after SKA2-knockdown in SNU638, NUGC3, and SNU668 cell lines compared to control. Representative images are shown from 3 biologically independent experiments. (I–K) Relative cell growth of SKA2 overexpression in SNU638, NUGC3, and SNU668 SKA2-knockdown cell lines was detected using CCK-8 assay ( n = 5). (L) NUGC3 scramble cells and NUGC3 SKA2-knockdown cells were injected subcutaneously into BALB/c-nude mice ( n = 5 mice per group). Three weeks after injection, xenografts were removed. Representative images of xenografts were shown. (M) Tumor volume and (N) tumor weight were determined. Data in (C)–(E), (I)–(K), (M), and (N) are presented as mean ± SD, n = 5 biologically independent samples. Data in (F)–(H) are presented as mean ± SD, n = 3 biologically independent experiments. p values in (C)–(E), (I)–(K), and (M) are based on two-factor repeated measures ANOVA. p values in (A), (F)–(H), and (N) are based on Student’s t test or one-way ANOVA (∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001).
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    Image Search Results


    Knockdown of SKA2 inhibits gastric cancer growth in vitro and in vivo (A) SKA2 mRNA expression levels in gastric cancer from the TCGA database via the GEPIA2 portal. ∗ p < 0.05. (B) The KM-Plotter database was used to demonstrate the impact of high SKA2 expression on the overall survival (OS) of patients with gastric cancer. (C–E) Relative cell growth of SNU638, NUGC3, and SNU668 SKA2-knockdown cell lines was detected using CCK-8 assay ( n = 5). (F–H) Colony formation assay showed inhibited viability after SKA2-knockdown in SNU638, NUGC3, and SNU668 cell lines compared to control. Representative images are shown from 3 biologically independent experiments. (I–K) Relative cell growth of SKA2 overexpression in SNU638, NUGC3, and SNU668 SKA2-knockdown cell lines was detected using CCK-8 assay ( n = 5). (L) NUGC3 scramble cells and NUGC3 SKA2-knockdown cells were injected subcutaneously into BALB/c-nude mice ( n = 5 mice per group). Three weeks after injection, xenografts were removed. Representative images of xenografts were shown. (M) Tumor volume and (N) tumor weight were determined. Data in (C)–(E), (I)–(K), (M), and (N) are presented as mean ± SD, n = 5 biologically independent samples. Data in (F)–(H) are presented as mean ± SD, n = 3 biologically independent experiments. p values in (C)–(E), (I)–(K), and (M) are based on two-factor repeated measures ANOVA. p values in (A), (F)–(H), and (N) are based on Student’s t test or one-way ANOVA (∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001).

    Journal: iScience

    Article Title: SKA2 promotes gastric cancer progression by regulating glutathione metabolism

    doi: 10.1016/j.isci.2026.115202

    Figure Lengend Snippet: Knockdown of SKA2 inhibits gastric cancer growth in vitro and in vivo (A) SKA2 mRNA expression levels in gastric cancer from the TCGA database via the GEPIA2 portal. ∗ p < 0.05. (B) The KM-Plotter database was used to demonstrate the impact of high SKA2 expression on the overall survival (OS) of patients with gastric cancer. (C–E) Relative cell growth of SNU638, NUGC3, and SNU668 SKA2-knockdown cell lines was detected using CCK-8 assay ( n = 5). (F–H) Colony formation assay showed inhibited viability after SKA2-knockdown in SNU638, NUGC3, and SNU668 cell lines compared to control. Representative images are shown from 3 biologically independent experiments. (I–K) Relative cell growth of SKA2 overexpression in SNU638, NUGC3, and SNU668 SKA2-knockdown cell lines was detected using CCK-8 assay ( n = 5). (L) NUGC3 scramble cells and NUGC3 SKA2-knockdown cells were injected subcutaneously into BALB/c-nude mice ( n = 5 mice per group). Three weeks after injection, xenografts were removed. Representative images of xenografts were shown. (M) Tumor volume and (N) tumor weight were determined. Data in (C)–(E), (I)–(K), (M), and (N) are presented as mean ± SD, n = 5 biologically independent samples. Data in (F)–(H) are presented as mean ± SD, n = 3 biologically independent experiments. p values in (C)–(E), (I)–(K), and (M) are based on two-factor repeated measures ANOVA. p values in (A), (F)–(H), and (N) are based on Student’s t test or one-way ANOVA (∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001).

    Article Snippet: Human gastric cancer cell lines SNU638 and SNU668 were obtained from the Korean Cell Line Bank (KCLB, Seoul, Korea)., NUGC3 cells were obtained from the Japanese Collection of Research Biosources (JCRB, Osaka, Japan).

    Techniques: Knockdown, In Vitro, In Vivo, Expressing, CCK-8 Assay, Colony Assay, Control, Over Expression, Injection

    Knocking down SKA2 induces gastric cancer cell lines G2/M arrest (A and B) Cell cycle analysis of SKA2 knockdown in SNU638 and NUGC3 cell lines. Percentage of flow cytometric histogram images shows the effects of SKA2. (C) Western blotting analysis of the expression of Cyclin D1, Cyclin A2, Cyclin B1, and SKA2 in SNU638 and NUGC3 SKA2-knockdown cell lines. α-Tubulin was used as the internal control. (D and E) Cell cycle analysis of SKA2 overexpression in SNU638 and NUGC3 SKA2-knockdown cell lines. Percentage of flow cytometric histogram images shows the effects of SKA2. (F) Western blotting analysis of SKA2 overexpression in SNU638 and NUGC3 SKA2-knockdown cell lines using anti-Cyclin D1, anti-Cyclin A2, anti-Cyclin B1, and anti-SKA2 antibodies. α-Tubulin was used as the internal control. Representative flow cytometry histograms and blotting images are shown from 3 biologically independent experiments. Data in (A)–(B) and (D)–(E) are presented as mean ± SD, n = 3 biologically independent experiments. p values are based on a one-way ANOVA test. ns, no significance (∗∗ p < 0.01; ∗∗∗ p < 0.001).

    Journal: iScience

    Article Title: SKA2 promotes gastric cancer progression by regulating glutathione metabolism

    doi: 10.1016/j.isci.2026.115202

    Figure Lengend Snippet: Knocking down SKA2 induces gastric cancer cell lines G2/M arrest (A and B) Cell cycle analysis of SKA2 knockdown in SNU638 and NUGC3 cell lines. Percentage of flow cytometric histogram images shows the effects of SKA2. (C) Western blotting analysis of the expression of Cyclin D1, Cyclin A2, Cyclin B1, and SKA2 in SNU638 and NUGC3 SKA2-knockdown cell lines. α-Tubulin was used as the internal control. (D and E) Cell cycle analysis of SKA2 overexpression in SNU638 and NUGC3 SKA2-knockdown cell lines. Percentage of flow cytometric histogram images shows the effects of SKA2. (F) Western blotting analysis of SKA2 overexpression in SNU638 and NUGC3 SKA2-knockdown cell lines using anti-Cyclin D1, anti-Cyclin A2, anti-Cyclin B1, and anti-SKA2 antibodies. α-Tubulin was used as the internal control. Representative flow cytometry histograms and blotting images are shown from 3 biologically independent experiments. Data in (A)–(B) and (D)–(E) are presented as mean ± SD, n = 3 biologically independent experiments. p values are based on a one-way ANOVA test. ns, no significance (∗∗ p < 0.01; ∗∗∗ p < 0.001).

    Article Snippet: Human gastric cancer cell lines SNU638 and SNU668 were obtained from the Korean Cell Line Bank (KCLB, Seoul, Korea)., NUGC3 cells were obtained from the Japanese Collection of Research Biosources (JCRB, Osaka, Japan).

    Techniques: Cell Cycle Assay, Knockdown, Western Blot, Expressing, Control, Over Expression, Flow Cytometry

    Knocking down SKA2 induces gastric cancer cell line apoptosis (A and B) Effects of SKA2 knockdown on apoptosis in SNU638 and NUGC3 cell lines. Representative flow cytometric plots are shown. (C) Western blotting analysis of the expression of PARP, Cleaved-Caspase3, and SKA2 in SNU638 and NUGC3 SKA2-knockdown cell lines. α-Tubulin was used as the internal control. (D and E) Effects of SKA2 overexpression on apoptosis in SNU638 and NUGC3 SKA2-knockdown cell lines. Representative flow cytometric plots are shown. (F) Western blotting analysis of SKA2 overexpression in SNU638 and NUGC3 SKA2-knockdown cell lines using anti-PARP, anti-Cleaved-Caspase3, and anti-SKA2 antibodies. α-Tubulin was used as the internal control. Representative flow cytometry plots and blotting images are shown from 3 biologically independent experiments. Data in (A)–(B) and (D)–(E) are presented as mean ± SD, n = 3 biologically independent experiments. p values are based on a one-way ANOVA test (∗∗∗ p < 0.001).

    Journal: iScience

    Article Title: SKA2 promotes gastric cancer progression by regulating glutathione metabolism

    doi: 10.1016/j.isci.2026.115202

    Figure Lengend Snippet: Knocking down SKA2 induces gastric cancer cell line apoptosis (A and B) Effects of SKA2 knockdown on apoptosis in SNU638 and NUGC3 cell lines. Representative flow cytometric plots are shown. (C) Western blotting analysis of the expression of PARP, Cleaved-Caspase3, and SKA2 in SNU638 and NUGC3 SKA2-knockdown cell lines. α-Tubulin was used as the internal control. (D and E) Effects of SKA2 overexpression on apoptosis in SNU638 and NUGC3 SKA2-knockdown cell lines. Representative flow cytometric plots are shown. (F) Western blotting analysis of SKA2 overexpression in SNU638 and NUGC3 SKA2-knockdown cell lines using anti-PARP, anti-Cleaved-Caspase3, and anti-SKA2 antibodies. α-Tubulin was used as the internal control. Representative flow cytometry plots and blotting images are shown from 3 biologically independent experiments. Data in (A)–(B) and (D)–(E) are presented as mean ± SD, n = 3 biologically independent experiments. p values are based on a one-way ANOVA test (∗∗∗ p < 0.001).

    Article Snippet: Human gastric cancer cell lines SNU638 and SNU668 were obtained from the Korean Cell Line Bank (KCLB, Seoul, Korea)., NUGC3 cells were obtained from the Japanese Collection of Research Biosources (JCRB, Osaka, Japan).

    Techniques: Knockdown, Western Blot, Expressing, Control, Over Expression, Flow Cytometry

    Identification and enrichment analyses of DEGs associated with SKA2 (A) The number of up-regulated and down-regulated DEGs. (B) Heatmap plot for hierarchical cluster analysis of all sequencing samples and DEGs. (C) Volcano plot for the distribution of DEGs. (D) GO enrichment analysis results for DEGs. (E) Heatmap plot of top 20 genes ranked in metabolic process. (F and G) Real-time PCR detection of SKA2 and SLC6A9 in SNU638 and NUGC3 SKA2-knockdown cell lines. (H) Western blotting analysis of the expression of SLC6A9/Glyt1 and SKA2 in SNU638 and NUGC3 SKA2-knockdown cell lines. α-Tubulin was used as the internal control. (I and J) Real-time PCR detection of SKA2 and SLC6A9 in SKA2 overexpression in SNU638 and NUGC3 SKA2-knockdown cell lines. (K) Western blotting analysis of SKA2 overexpression in SNU638 and NUGC3 SKA2-knockdown cell lines using anti-SLC6A9/Glyt1 and anti-SKA2 antibodies. α-Tubulin was used as the internal control. Representative blotting images are shown from 3 biologically independent experiments. Data in (F)–(G) and (I)–(J) are presented as mean ± SD, n = 3 biologically independent experiments. p values are based on a one-way ANOVA test (∗∗∗ p < 0.001).

    Journal: iScience

    Article Title: SKA2 promotes gastric cancer progression by regulating glutathione metabolism

    doi: 10.1016/j.isci.2026.115202

    Figure Lengend Snippet: Identification and enrichment analyses of DEGs associated with SKA2 (A) The number of up-regulated and down-regulated DEGs. (B) Heatmap plot for hierarchical cluster analysis of all sequencing samples and DEGs. (C) Volcano plot for the distribution of DEGs. (D) GO enrichment analysis results for DEGs. (E) Heatmap plot of top 20 genes ranked in metabolic process. (F and G) Real-time PCR detection of SKA2 and SLC6A9 in SNU638 and NUGC3 SKA2-knockdown cell lines. (H) Western blotting analysis of the expression of SLC6A9/Glyt1 and SKA2 in SNU638 and NUGC3 SKA2-knockdown cell lines. α-Tubulin was used as the internal control. (I and J) Real-time PCR detection of SKA2 and SLC6A9 in SKA2 overexpression in SNU638 and NUGC3 SKA2-knockdown cell lines. (K) Western blotting analysis of SKA2 overexpression in SNU638 and NUGC3 SKA2-knockdown cell lines using anti-SLC6A9/Glyt1 and anti-SKA2 antibodies. α-Tubulin was used as the internal control. Representative blotting images are shown from 3 biologically independent experiments. Data in (F)–(G) and (I)–(J) are presented as mean ± SD, n = 3 biologically independent experiments. p values are based on a one-way ANOVA test (∗∗∗ p < 0.001).

    Article Snippet: Human gastric cancer cell lines SNU638 and SNU668 were obtained from the Korean Cell Line Bank (KCLB, Seoul, Korea)., NUGC3 cells were obtained from the Japanese Collection of Research Biosources (JCRB, Osaka, Japan).

    Techniques: Sequencing, Real-time Polymerase Chain Reaction, Knockdown, Western Blot, Expressing, Control, Over Expression

    The intracellular GSH and ROS level affected by SKA2 and SLC6A9/Glyt1 in GC (A–E) Intracellular glycine, serine, threonine, methionine, and glutathione levels in SKA2-shRNA/SNU638 and scramble-shRNA/SNU638 cells. (F and G) Relative DCFH-DA fluorescence measured by flow cytometry of cells treated with SKA2 shRNA or scrambled shRNA. (H and I) Relative DCFH-DA fluorescence measured by flow cytometry of SKA2 overexpression in SNU638 and NUGC3 SKA2-knockdown cell lines. (J) Western blotting analysis of GLYT1 overexpression in SNU638 and NUGC3 SKA2-knockdown cell lines using anti-Flag and anti-SKA2 antibodies. α-Tubulin was used as the internal control. (K) Relative DCFH-DA fluorescence measured by flow cytometry of Glyt1 overexpression in SNU638 SKA2-knockdown cell lines. (L) Relative DCFH-DA fluorescence measured by flow cytometry of Glyt1 overexpression in NUGC3 SKA2-knockdown cell lines. (M) Cell cycle analysis of GLYT1 overexpression in SNU638 SKA2-knockdown cell lines. (N) Effects of GLYT1 overexpression on apoptosis in SNU638 SKA2-knockdown cell lines. Representative flow cytometry histograms and blotting images are shown from 3 biologically independent experiments. Data are presented as mean ± SD, n = 3 biologically independent experiments. p values in (A)–(E) are based on Student’s t test. p values in (F)–(N) are based on a one-way ANOVA test (ns, no significance; ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001).

    Journal: iScience

    Article Title: SKA2 promotes gastric cancer progression by regulating glutathione metabolism

    doi: 10.1016/j.isci.2026.115202

    Figure Lengend Snippet: The intracellular GSH and ROS level affected by SKA2 and SLC6A9/Glyt1 in GC (A–E) Intracellular glycine, serine, threonine, methionine, and glutathione levels in SKA2-shRNA/SNU638 and scramble-shRNA/SNU638 cells. (F and G) Relative DCFH-DA fluorescence measured by flow cytometry of cells treated with SKA2 shRNA or scrambled shRNA. (H and I) Relative DCFH-DA fluorescence measured by flow cytometry of SKA2 overexpression in SNU638 and NUGC3 SKA2-knockdown cell lines. (J) Western blotting analysis of GLYT1 overexpression in SNU638 and NUGC3 SKA2-knockdown cell lines using anti-Flag and anti-SKA2 antibodies. α-Tubulin was used as the internal control. (K) Relative DCFH-DA fluorescence measured by flow cytometry of Glyt1 overexpression in SNU638 SKA2-knockdown cell lines. (L) Relative DCFH-DA fluorescence measured by flow cytometry of Glyt1 overexpression in NUGC3 SKA2-knockdown cell lines. (M) Cell cycle analysis of GLYT1 overexpression in SNU638 SKA2-knockdown cell lines. (N) Effects of GLYT1 overexpression on apoptosis in SNU638 SKA2-knockdown cell lines. Representative flow cytometry histograms and blotting images are shown from 3 biologically independent experiments. Data are presented as mean ± SD, n = 3 biologically independent experiments. p values in (A)–(E) are based on Student’s t test. p values in (F)–(N) are based on a one-way ANOVA test (ns, no significance; ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001).

    Article Snippet: Human gastric cancer cell lines SNU638 and SNU668 were obtained from the Korean Cell Line Bank (KCLB, Seoul, Korea)., NUGC3 cells were obtained from the Japanese Collection of Research Biosources (JCRB, Osaka, Japan).

    Techniques: shRNA, Fluorescence, Flow Cytometry, Over Expression, Knockdown, Western Blot, Control, Cell Cycle Assay

    Knocking down SKA2-induced cell-cycle arrest and apoptosis through the SKA2/ROS/ATM axis in GC cell lines (A) Western blotting analysis of γ-H2AX (Ser139), ATM, p -ATM (Ser1981), p -Chk2 (Thr68), and SKA2 expression in SNU638 and NUGC3 SKA2-knockdown cell lines. (B) Western blotting analysis of SKA2 overexpression in SNU638 and NUGC3 SKA2-knockdown cell lines using antibodies against γ-H2AX (Ser139), ATM, p -ATM (Ser1981), p -Chk2 (Thr68), and SKA2. (C) Western blotting analysis of KU-55933 treatment in SNU638 and NUGC3 SKA2-knockdown cell lines using antibodies against cyclin D1, cyclin A2, cyclin B1, p -Chk2 (Thr68), PARP, Cleaved-Caspase3, JNK, p -JNK (Thr183/Tyr185), ATM, p -ATM (Ser1981), and SKA2. (D) Western blotting analysis of BML-277 treatment in SNU638 and NUGC3 SKA2-knockdown cell lines using antibodies against cyclin D1, cyclin A2, cyclin B1, p -Chk2 (Thr68), and SKA2. (E) Western blotting analysis of P38, p-P38 (Thr180/Tyr182), ERK, p -ERK1/2 (Thr202/Tyr204), JNK, p -JNK (Thr183/Tyr185), and SKA2 expression in SNU638 and NUGC3 SKA2-knockdown cell lines. (F) Western blotting analysis of the rescue effect of SKA2 overexpression on MAPK pathway markers (ERK, p -ERK1/2, JNK, and p -JNK) in SNU638 and NUGC3 SKA2-knockdown cell lines. (G) Western blotting analysis of JNK-IN-8 treatment in SNU638 SKA2-knockdown cell lines using antibodies against PARP, cleaved-caspase3, JNK, p -JNK (Thr183/Tyr185), and SKA2. α-Tubulin was used as the internal control for all blots. Representative blotting images are shown from 3 independent experiments.

    Journal: iScience

    Article Title: SKA2 promotes gastric cancer progression by regulating glutathione metabolism

    doi: 10.1016/j.isci.2026.115202

    Figure Lengend Snippet: Knocking down SKA2-induced cell-cycle arrest and apoptosis through the SKA2/ROS/ATM axis in GC cell lines (A) Western blotting analysis of γ-H2AX (Ser139), ATM, p -ATM (Ser1981), p -Chk2 (Thr68), and SKA2 expression in SNU638 and NUGC3 SKA2-knockdown cell lines. (B) Western blotting analysis of SKA2 overexpression in SNU638 and NUGC3 SKA2-knockdown cell lines using antibodies against γ-H2AX (Ser139), ATM, p -ATM (Ser1981), p -Chk2 (Thr68), and SKA2. (C) Western blotting analysis of KU-55933 treatment in SNU638 and NUGC3 SKA2-knockdown cell lines using antibodies against cyclin D1, cyclin A2, cyclin B1, p -Chk2 (Thr68), PARP, Cleaved-Caspase3, JNK, p -JNK (Thr183/Tyr185), ATM, p -ATM (Ser1981), and SKA2. (D) Western blotting analysis of BML-277 treatment in SNU638 and NUGC3 SKA2-knockdown cell lines using antibodies against cyclin D1, cyclin A2, cyclin B1, p -Chk2 (Thr68), and SKA2. (E) Western blotting analysis of P38, p-P38 (Thr180/Tyr182), ERK, p -ERK1/2 (Thr202/Tyr204), JNK, p -JNK (Thr183/Tyr185), and SKA2 expression in SNU638 and NUGC3 SKA2-knockdown cell lines. (F) Western blotting analysis of the rescue effect of SKA2 overexpression on MAPK pathway markers (ERK, p -ERK1/2, JNK, and p -JNK) in SNU638 and NUGC3 SKA2-knockdown cell lines. (G) Western blotting analysis of JNK-IN-8 treatment in SNU638 SKA2-knockdown cell lines using antibodies against PARP, cleaved-caspase3, JNK, p -JNK (Thr183/Tyr185), and SKA2. α-Tubulin was used as the internal control for all blots. Representative blotting images are shown from 3 independent experiments.

    Article Snippet: Human gastric cancer cell lines SNU638 and SNU668 were obtained from the Korean Cell Line Bank (KCLB, Seoul, Korea)., NUGC3 cells were obtained from the Japanese Collection of Research Biosources (JCRB, Osaka, Japan).

    Techniques: Western Blot, Expressing, Knockdown, Over Expression, Control

    Impact of GPR173 on gastric cancer cell proliferation in vitro and in vivo. A Relative mRNA expression of GPR173 in 10 pairs of gastric cancer tissues (Tumor) and adjacent Non-tumor tissues (Non-tumor) was measured by RT-qPCR. B Protein expression level of GPR173 in the human Non-tumor gastric mucosal epithelial cell line (GES-1) and various gastric cancer cell lines was detected by Western blot. C Western blot analysis validating the knockdown efficiency of GPR173 in MKN-45 cells and overexpression efficiency in AGS cells at the protein level. GAPDH served as the loading control. D The relative mRNA expression of GPR173 in MKN-45 cells transfected with different siRNAs (si-1, si-2, si-3) compared to negative control (NC) was determined by RT-qPCR. E The relative mRNA expression of GPR173 in AGS cells transfected with GPR173 overexpression plasmid (OE) compared to empty vector (Vector) was confirmed by RT-qPCR. F , H A colony formation assay and its quantification showed that knockdown of GPR173 inhibited the colony-forming ability of MKN-45 cells. G , H A colony formation assay and its quantification indicated that overexpression of GPR173 (OE) enhanced the colony-forming ability of AGS cells. I , K An EdU incorporation assay and its quantification revealed that knockdown of GPR173 suppressed the proliferation of MKN-45 cells. J , K An EdU incorporation assay and its quantification demonstrated that overexpression of GPR173 promoted the proliferation of AGS cells. L A CCK-8 assay showed that GPR173 knockdown inhibited the viability of MKN-45 cells. M A CCK-8 assay indicated that GPR173 overexpression enhanced the viability of AGS cells. N Representative images of subcutaneous xenograft tumors in nude mice injected with GPR173-overexpressing AGS cells (OE-GPR173) or control cells (Vector). O Quantitative comparison of tumor weights from each group at the experimental endpoint. P Tumor growth curves showing changes in tumor volume over time for each group. Q Representative images of IHC staining for GPR173 and the proliferation marker Ki-67 in subcutaneous xenograft tumors. Data are presented as the mean ± standard deviation (SD). Statistical significance was determined using Student’s t-test for comparisons between two groups A , D - O and one-way ANOVA for multiple comparisons. Tumor growth curves P were analyzed using two-way ANOVA

    Journal: World Journal of Surgical Oncology

    Article Title: Analysis of the proliferative role and prognostic value of GPR173 in gastric cancer

    doi: 10.1186/s12957-026-04274-x

    Figure Lengend Snippet: Impact of GPR173 on gastric cancer cell proliferation in vitro and in vivo. A Relative mRNA expression of GPR173 in 10 pairs of gastric cancer tissues (Tumor) and adjacent Non-tumor tissues (Non-tumor) was measured by RT-qPCR. B Protein expression level of GPR173 in the human Non-tumor gastric mucosal epithelial cell line (GES-1) and various gastric cancer cell lines was detected by Western blot. C Western blot analysis validating the knockdown efficiency of GPR173 in MKN-45 cells and overexpression efficiency in AGS cells at the protein level. GAPDH served as the loading control. D The relative mRNA expression of GPR173 in MKN-45 cells transfected with different siRNAs (si-1, si-2, si-3) compared to negative control (NC) was determined by RT-qPCR. E The relative mRNA expression of GPR173 in AGS cells transfected with GPR173 overexpression plasmid (OE) compared to empty vector (Vector) was confirmed by RT-qPCR. F , H A colony formation assay and its quantification showed that knockdown of GPR173 inhibited the colony-forming ability of MKN-45 cells. G , H A colony formation assay and its quantification indicated that overexpression of GPR173 (OE) enhanced the colony-forming ability of AGS cells. I , K An EdU incorporation assay and its quantification revealed that knockdown of GPR173 suppressed the proliferation of MKN-45 cells. J , K An EdU incorporation assay and its quantification demonstrated that overexpression of GPR173 promoted the proliferation of AGS cells. L A CCK-8 assay showed that GPR173 knockdown inhibited the viability of MKN-45 cells. M A CCK-8 assay indicated that GPR173 overexpression enhanced the viability of AGS cells. N Representative images of subcutaneous xenograft tumors in nude mice injected with GPR173-overexpressing AGS cells (OE-GPR173) or control cells (Vector). O Quantitative comparison of tumor weights from each group at the experimental endpoint. P Tumor growth curves showing changes in tumor volume over time for each group. Q Representative images of IHC staining for GPR173 and the proliferation marker Ki-67 in subcutaneous xenograft tumors. Data are presented as the mean ± standard deviation (SD). Statistical significance was determined using Student’s t-test for comparisons between two groups A , D - O and one-way ANOVA for multiple comparisons. Tumor growth curves P were analyzed using two-way ANOVA

    Article Snippet: The human Non-tumor gastric epithelial cell line GES-1 and human GC cell lines (MKN-45, HGC-27, SNU-216, MKN-73, AGS) were obtained from Genechem (Shanghai, China) or the Chinese Academy of Sciences Cell Bank (Shanghai, China).

    Techniques: In Vitro, In Vivo, Expressing, Quantitative RT-PCR, Western Blot, Knockdown, Over Expression, Control, Transfection, Negative Control, Plasmid Preparation, Colony Assay, CCK-8 Assay, Injection, Comparison, Immunohistochemistry, Marker, Standard Deviation