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Effects of TDO2 silencing in primary LSMC. Cells were transfected with siTDO2 or control <t>siRNA</t> <t>(siNC)</t> for 96 h, followed by assessment of gene expression by qRT-PCR. Expression levels of TDO2, VDR, MMP11, MMP14, COL11A1, CBX4, LINC02568, LINC01310, LINC02544, LINC02182, and miR-584-5p are shown. Data represent mean ± SEM from four independent experiments ( n = 4). Statistical significance is indicated as * P <0.05 and *** P <0.01.
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Effects of TDO2 silencing in primary LSMC. Cells were transfected with siTDO2 or control <t>siRNA</t> <t>(siNC)</t> for 96 h, followed by assessment of gene expression by qRT-PCR. Expression levels of TDO2, VDR, MMP11, MMP14, COL11A1, CBX4, LINC02568, LINC01310, LINC02544, LINC02182, and miR-584-5p are shown. Data represent mean ± SEM from four independent experiments ( n = 4). Statistical significance is indicated as * P <0.05 and *** P <0.01.
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( A, B ) G3BP1 was transiently silenced with <t>siRNA,</t> or not; cells were then serum-starved and stimulated with PDGF-BB, as indicated. Activation of PDGFR, STAT1, ERK1/2, AKT, PLCγ, and STAT3 signaling pathways was determined by immunoblotting for phosphorylated and total amounts of the signaling proteins. The experiments were repeated four times.
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( A, B ) G3BP1 was transiently silenced with <t>siRNA,</t> or not; cells were then serum-starved and stimulated with PDGF-BB, as indicated. Activation of PDGFR, STAT1, ERK1/2, AKT, PLCγ, and STAT3 signaling pathways was determined by immunoblotting for phosphorylated and total amounts of the signaling proteins. The experiments were repeated four times.
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Proliferation, survival, and invasion phenotypes were reshaped by gain- and loss-of-function perturbation. (A) WB analysis of CENPI protein in HCC cell lines (HCCLM3, Hep3B, and HepG2); HepG2 showed the highest CENPI expression ( n = 3). (B) WB analysis of CENPI protein in si-CENPI-transfected HepG2 cells; si-CENPI decreased CENPI levels vs <t>si-NC,</t> *** p < 0.001 ( n = 3). (C) WB analysis of CENPI protein in oe-CENPI-transfected HepG2 cells; oe-CENPI increased CENPI levels vs oe-NC, *** p < 0.001 ( n = 3). (D) CCK-8 assay for HepG2 proliferation; si-CENPI decreased absorbance (weaker proliferation) vs si-NC, while oe-CENPI increased it (stronger proliferation) vs oe-NC, * p < 0.05 ( n = 3). (E) Wound-healing assay for HepG2 migration; healing status recorded at 0/24 h. si-CENPI decelerated wound closure vs si-NC, while oe-CENPI accelerated it vs oe-NC; scale bar = 100 μm, ** p < 0.01 ( n = 3). (F) Flow cytometry for HepG2 apoptosis; apoptotic rates quantified. si-CENPI increased apoptotic rate vs si-NC, while oe-CENPI decreased it vs oe-NC, ** p < 0.01 ( n = 3). (G) Transwell assay for HepG2 invasion in Matrigel-coated chambers; invaded cells stained and counted. si-CENPI reduced invaded cells vs si-NC, while oe-CENPI increased them vs oe-NC; scale bar = 275 μm, *** p < 0.001 ( n = 3). (H) Flow cytometry for HepG2 cell cycle; si-CENPI increased the proportion of cells in G1 phase and decreased that in S phase vs si-NC, ** p < 0.01, while oe-CENPI showed the opposite effect vs oe-NC, * p < 0.05 ( n = 3). Data are presented as mean ± SD of three independent experiments; error bars represent SD.
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Proliferation, survival, and invasion phenotypes were reshaped by gain- and loss-of-function perturbation. (A) WB analysis of CENPI protein in HCC cell lines (HCCLM3, Hep3B, and HepG2); HepG2 showed the highest CENPI expression ( n = 3). (B) WB analysis of CENPI protein in si-CENPI-transfected HepG2 cells; si-CENPI decreased CENPI levels vs <t>si-NC,</t> *** p < 0.001 ( n = 3). (C) WB analysis of CENPI protein in oe-CENPI-transfected HepG2 cells; oe-CENPI increased CENPI levels vs oe-NC, *** p < 0.001 ( n = 3). (D) CCK-8 assay for HepG2 proliferation; si-CENPI decreased absorbance (weaker proliferation) vs si-NC, while oe-CENPI increased it (stronger proliferation) vs oe-NC, * p < 0.05 ( n = 3). (E) Wound-healing assay for HepG2 migration; healing status recorded at 0/24 h. si-CENPI decelerated wound closure vs si-NC, while oe-CENPI accelerated it vs oe-NC; scale bar = 100 μm, ** p < 0.01 ( n = 3). (F) Flow cytometry for HepG2 apoptosis; apoptotic rates quantified. si-CENPI increased apoptotic rate vs si-NC, while oe-CENPI decreased it vs oe-NC, ** p < 0.01 ( n = 3). (G) Transwell assay for HepG2 invasion in Matrigel-coated chambers; invaded cells stained and counted. si-CENPI reduced invaded cells vs si-NC, while oe-CENPI increased them vs oe-NC; scale bar = 275 μm, *** p < 0.001 ( n = 3). (H) Flow cytometry for HepG2 cell cycle; si-CENPI increased the proportion of cells in G1 phase and decreased that in S phase vs si-NC, ** p < 0.01, while oe-CENPI showed the opposite effect vs oe-NC, * p < 0.05 ( n = 3). Data are presented as mean ± SD of three independent experiments; error bars represent SD.
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Effects of TDO2 silencing in primary LSMC. Cells were transfected with siTDO2 or control siRNA (siNC) for 96 h, followed by assessment of gene expression by qRT-PCR. Expression levels of TDO2, VDR, MMP11, MMP14, COL11A1, CBX4, LINC02568, LINC01310, LINC02544, LINC02182, and miR-584-5p are shown. Data represent mean ± SEM from four independent experiments ( n = 4). Statistical significance is indicated as * P <0.05 and *** P <0.01.

Journal: Clinical Science (London, England : 1979)

Article Title: In vivo inhibition of TDO2 in fibroids results in widespread alteration in the tumor transcriptome

doi: 10.1042/CS20260395

Figure Lengend Snippet: Effects of TDO2 silencing in primary LSMC. Cells were transfected with siTDO2 or control siRNA (siNC) for 96 h, followed by assessment of gene expression by qRT-PCR. Expression levels of TDO2, VDR, MMP11, MMP14, COL11A1, CBX4, LINC02568, LINC01310, LINC02544, LINC02182, and miR-584-5p are shown. Data represent mean ± SEM from four independent experiments ( n = 4). Statistical significance is indicated as * P <0.05 and *** P <0.01.

Article Snippet: For gene silencing experiments, primary LSMCs were transfected with 50 nM of either a non-targeting control siRNA (siNC) or siRNA targeting TDO2 (siTDO2; 5′-CUAUCACUACCUGCGAUCAACUGUG-3′) using PureFection transfection reagent (System Biosciences, Mountain View, CA, U.S.A.), according to the manufacturer’s protocol.

Techniques: Transfection, Control, Gene Expression, Quantitative RT-PCR, Expressing

( A, B ) G3BP1 was transiently silenced with siRNA, or not; cells were then serum-starved and stimulated with PDGF-BB, as indicated. Activation of PDGFR, STAT1, ERK1/2, AKT, PLCγ, and STAT3 signaling pathways was determined by immunoblotting for phosphorylated and total amounts of the signaling proteins. The experiments were repeated four times.

Journal: Bioscience Reports

Article Title: G3BP1 is a SWI/SNF-bound regulator of transcription that modulates activation of STATs

doi: 10.1042/BSR20250290

Figure Lengend Snippet: ( A, B ) G3BP1 was transiently silenced with siRNA, or not; cells were then serum-starved and stimulated with PDGF-BB, as indicated. Activation of PDGFR, STAT1, ERK1/2, AKT, PLCγ, and STAT3 signaling pathways was determined by immunoblotting for phosphorylated and total amounts of the signaling proteins. The experiments were repeated four times.

Article Snippet: AG01523 cells were transiently transfected with 20 nM siRNA of Trilencer-27 G3BP siRNA (#SR, OriGene Technologies, U.S.A.) or 20 nM scrambled negative control siRNA (#SR30004, OriGene Technologies, U.S.A.), using SilentFect reagent (Bio-Rad), and incubated for 72 to 96 h at 37°C in a CO 2 incubator.

Techniques: Activation Assay, Protein-Protein interactions, Western Blot

(A–F) After transient silencing of G3BP1 with siRNA, or not, and serum starvation overnight, AG01523 cells were stimulated with PDGF-BB for 1 h (black bars) or left unstimulated (0 h, gray bars). mRNA expression of G3BP1 ( A ), STAT3 ( B ), STAT1 ( C ), FOS ( D ), MYC ( E ), and CCND1 (cyclin D1) ( F ) is presented relative to the expression of control gene HPRT . Statistical analysis was performed on four independent repeats using Student’s t -test. *, P- value <0.05; **, P <0.01. The experiments were repeated six times.

Journal: Bioscience Reports

Article Title: G3BP1 is a SWI/SNF-bound regulator of transcription that modulates activation of STATs

doi: 10.1042/BSR20250290

Figure Lengend Snippet: (A–F) After transient silencing of G3BP1 with siRNA, or not, and serum starvation overnight, AG01523 cells were stimulated with PDGF-BB for 1 h (black bars) or left unstimulated (0 h, gray bars). mRNA expression of G3BP1 ( A ), STAT3 ( B ), STAT1 ( C ), FOS ( D ), MYC ( E ), and CCND1 (cyclin D1) ( F ) is presented relative to the expression of control gene HPRT . Statistical analysis was performed on four independent repeats using Student’s t -test. *, P- value <0.05; **, P <0.01. The experiments were repeated six times.

Article Snippet: AG01523 cells were transiently transfected with 20 nM siRNA of Trilencer-27 G3BP siRNA (#SR, OriGene Technologies, U.S.A.) or 20 nM scrambled negative control siRNA (#SR30004, OriGene Technologies, U.S.A.), using SilentFect reagent (Bio-Rad), and incubated for 72 to 96 h at 37°C in a CO 2 incubator.

Techniques: Expressing, Control

( A ) G3BP1 was knocked down by siRNA, or not, in AG01523 fibroblasts. Cells were then grown in medium containing 1% FBS and increasing concentrations of PDGF-BB. The amount of DNA and, therefore, the proliferation rate was determined by measuring absorption of fluorescently labeled DNA-intercalating dye using the CyQuant assay. The experiments were repeated three times. ( B ) Schematic illustration of the findings of the study. G3BP1 acts as a co-activator of PDGF-BB-induced activation of STAT3 and as a co-repressor of the transcription of cyclin D1 and STAT1 due to its association with the SWI/SNF chromatin remodeling complex.

Journal: Bioscience Reports

Article Title: G3BP1 is a SWI/SNF-bound regulator of transcription that modulates activation of STATs

doi: 10.1042/BSR20250290

Figure Lengend Snippet: ( A ) G3BP1 was knocked down by siRNA, or not, in AG01523 fibroblasts. Cells were then grown in medium containing 1% FBS and increasing concentrations of PDGF-BB. The amount of DNA and, therefore, the proliferation rate was determined by measuring absorption of fluorescently labeled DNA-intercalating dye using the CyQuant assay. The experiments were repeated three times. ( B ) Schematic illustration of the findings of the study. G3BP1 acts as a co-activator of PDGF-BB-induced activation of STAT3 and as a co-repressor of the transcription of cyclin D1 and STAT1 due to its association with the SWI/SNF chromatin remodeling complex.

Article Snippet: AG01523 cells were transiently transfected with 20 nM siRNA of Trilencer-27 G3BP siRNA (#SR, OriGene Technologies, U.S.A.) or 20 nM scrambled negative control siRNA (#SR30004, OriGene Technologies, U.S.A.), using SilentFect reagent (Bio-Rad), and incubated for 72 to 96 h at 37°C in a CO 2 incubator.

Techniques: Labeling, CyQUANT Assay, Activation Assay

Proliferation, survival, and invasion phenotypes were reshaped by gain- and loss-of-function perturbation. (A) WB analysis of CENPI protein in HCC cell lines (HCCLM3, Hep3B, and HepG2); HepG2 showed the highest CENPI expression ( n = 3). (B) WB analysis of CENPI protein in si-CENPI-transfected HepG2 cells; si-CENPI decreased CENPI levels vs si-NC, *** p < 0.001 ( n = 3). (C) WB analysis of CENPI protein in oe-CENPI-transfected HepG2 cells; oe-CENPI increased CENPI levels vs oe-NC, *** p < 0.001 ( n = 3). (D) CCK-8 assay for HepG2 proliferation; si-CENPI decreased absorbance (weaker proliferation) vs si-NC, while oe-CENPI increased it (stronger proliferation) vs oe-NC, * p < 0.05 ( n = 3). (E) Wound-healing assay for HepG2 migration; healing status recorded at 0/24 h. si-CENPI decelerated wound closure vs si-NC, while oe-CENPI accelerated it vs oe-NC; scale bar = 100 μm, ** p < 0.01 ( n = 3). (F) Flow cytometry for HepG2 apoptosis; apoptotic rates quantified. si-CENPI increased apoptotic rate vs si-NC, while oe-CENPI decreased it vs oe-NC, ** p < 0.01 ( n = 3). (G) Transwell assay for HepG2 invasion in Matrigel-coated chambers; invaded cells stained and counted. si-CENPI reduced invaded cells vs si-NC, while oe-CENPI increased them vs oe-NC; scale bar = 275 μm, *** p < 0.001 ( n = 3). (H) Flow cytometry for HepG2 cell cycle; si-CENPI increased the proportion of cells in G1 phase and decreased that in S phase vs si-NC, ** p < 0.01, while oe-CENPI showed the opposite effect vs oe-NC, * p < 0.05 ( n = 3). Data are presented as mean ± SD of three independent experiments; error bars represent SD.

Journal: Cancer Biology & Therapy

Article Title: Centromere protein I promotes hepatocellular carcinoma progression by activating PI3K/AKT/mTOR-CDK2 cascade

doi: 10.1080/15384047.2026.2667596

Figure Lengend Snippet: Proliferation, survival, and invasion phenotypes were reshaped by gain- and loss-of-function perturbation. (A) WB analysis of CENPI protein in HCC cell lines (HCCLM3, Hep3B, and HepG2); HepG2 showed the highest CENPI expression ( n = 3). (B) WB analysis of CENPI protein in si-CENPI-transfected HepG2 cells; si-CENPI decreased CENPI levels vs si-NC, *** p < 0.001 ( n = 3). (C) WB analysis of CENPI protein in oe-CENPI-transfected HepG2 cells; oe-CENPI increased CENPI levels vs oe-NC, *** p < 0.001 ( n = 3). (D) CCK-8 assay for HepG2 proliferation; si-CENPI decreased absorbance (weaker proliferation) vs si-NC, while oe-CENPI increased it (stronger proliferation) vs oe-NC, * p < 0.05 ( n = 3). (E) Wound-healing assay for HepG2 migration; healing status recorded at 0/24 h. si-CENPI decelerated wound closure vs si-NC, while oe-CENPI accelerated it vs oe-NC; scale bar = 100 μm, ** p < 0.01 ( n = 3). (F) Flow cytometry for HepG2 apoptosis; apoptotic rates quantified. si-CENPI increased apoptotic rate vs si-NC, while oe-CENPI decreased it vs oe-NC, ** p < 0.01 ( n = 3). (G) Transwell assay for HepG2 invasion in Matrigel-coated chambers; invaded cells stained and counted. si-CENPI reduced invaded cells vs si-NC, while oe-CENPI increased them vs oe-NC; scale bar = 275 μm, *** p < 0.001 ( n = 3). (H) Flow cytometry for HepG2 cell cycle; si-CENPI increased the proportion of cells in G1 phase and decreased that in S phase vs si-NC, ** p < 0.01, while oe-CENPI showed the opposite effect vs oe-NC, * p < 0.05 ( n = 3). Data are presented as mean ± SD of three independent experiments; error bars represent SD.

Article Snippet: CENPI-targeting siRNAs and a nontargeting control siRNA (si-NC) were synthesized by Sangon Biotech (Shanghai, China).

Techniques: Expressing, Transfection, CCK-8 Assay, Wound Healing Assay, Migration, Flow Cytometry, Transwell Assay, Staining

Cell cycle and mTORC1 programs emerged as dominant signatures accompanied by CDK2 elevation and EMT marker remodeling. (A) KEGG pathway enrichment analysis (top ten significantly enriched pathways); the cell cycle pathway was most significant, with significance represented by −log10 ( p value), based on CENPI-related differentially expressed genes. (B) GSEA analysis of CENPI-related genes; enriched pathways include cell cycle-related (E2F_TARGETS) and mechanism-related (mTORC1_SIGNALING), significance represented by normalized enrichment score (NES). (C) WB analysis of cell cycle-related proteins (CDK2, Cyclin D1) and CENPI in si-CENPI and oe-CENPI-transfected HCC cells; CDK2 showed the most obvious change, ** p < 0.01 vs si-NC and * p < 0.05 vs oe-NC ( n = 3). (D) WB detection of PI3K/AKT/mTOR pathway proteins (PI3K, p-PI3K, AKT, p-AKT, mTOR, p-mTOR), EMT proteins (N-cadherin, E-cadherin, Vimentin), and CENPI in si-CENPI and oe-CENPI-transfected HCC cells, * p < 0.05 and ** p < 0.01 ( n = 3). Quantitative data are presented as mean ± SD of three independent experiments; error bars represent SD.

Journal: Cancer Biology & Therapy

Article Title: Centromere protein I promotes hepatocellular carcinoma progression by activating PI3K/AKT/mTOR-CDK2 cascade

doi: 10.1080/15384047.2026.2667596

Figure Lengend Snippet: Cell cycle and mTORC1 programs emerged as dominant signatures accompanied by CDK2 elevation and EMT marker remodeling. (A) KEGG pathway enrichment analysis (top ten significantly enriched pathways); the cell cycle pathway was most significant, with significance represented by −log10 ( p value), based on CENPI-related differentially expressed genes. (B) GSEA analysis of CENPI-related genes; enriched pathways include cell cycle-related (E2F_TARGETS) and mechanism-related (mTORC1_SIGNALING), significance represented by normalized enrichment score (NES). (C) WB analysis of cell cycle-related proteins (CDK2, Cyclin D1) and CENPI in si-CENPI and oe-CENPI-transfected HCC cells; CDK2 showed the most obvious change, ** p < 0.01 vs si-NC and * p < 0.05 vs oe-NC ( n = 3). (D) WB detection of PI3K/AKT/mTOR pathway proteins (PI3K, p-PI3K, AKT, p-AKT, mTOR, p-mTOR), EMT proteins (N-cadherin, E-cadherin, Vimentin), and CENPI in si-CENPI and oe-CENPI-transfected HCC cells, * p < 0.05 and ** p < 0.01 ( n = 3). Quantitative data are presented as mean ± SD of three independent experiments; error bars represent SD.

Article Snippet: CENPI-targeting siRNAs and a nontargeting control siRNA (si-NC) were synthesized by Sangon Biotech (Shanghai, China).

Techniques: Marker, Transfection

Orthotopic growth suppression was accompanied by pathway deactivation and reversal of EMT marker directionality. (A and B) Quantification of tumor weight in orthotopic xenograft models; shRNA-mediated CENPI silencing reduced tumor weight compared with models; scale bar = 1 cm, (C) Assessment of body weight changes; CENPI silencing attenuated cachexia-driven body weight loss, *** p < 0.001 vs control and ### p < 0.001 vs model ( n = 6). (D) Measurement of final tumor mass; CENPI silencing decreased tumor mass vs models without overt hepatotoxicity, ** p < 0.01 vs model ( n = 6). (E) WB analysis of EMT markers (E-cadherin, N-cadherin, and Vimentin) and PI3K/AKT/mTOR-CDK2 pathway proteins in resected tumor tissues. CENPI silencing induced a mesenchymal-to-epithelial reverting signature, with E-cadherin increased and N-cadherin/Vimentin suppressed. Concomitantly, p-PI3K, p-AKT, p-mTOR, and total CDK2 levels were diminished, indicating inactivation of the PI3K/AKT/mTOR-CDK2 relay, * p < 0.05 vs control, # p < 0.05, and ## p < 0.01 vs model ( n = 3). Data are presented as mean ± SD; error bars represent SD.

Journal: Cancer Biology & Therapy

Article Title: Centromere protein I promotes hepatocellular carcinoma progression by activating PI3K/AKT/mTOR-CDK2 cascade

doi: 10.1080/15384047.2026.2667596

Figure Lengend Snippet: Orthotopic growth suppression was accompanied by pathway deactivation and reversal of EMT marker directionality. (A and B) Quantification of tumor weight in orthotopic xenograft models; shRNA-mediated CENPI silencing reduced tumor weight compared with models; scale bar = 1 cm, (C) Assessment of body weight changes; CENPI silencing attenuated cachexia-driven body weight loss, *** p < 0.001 vs control and ### p < 0.001 vs model ( n = 6). (D) Measurement of final tumor mass; CENPI silencing decreased tumor mass vs models without overt hepatotoxicity, ** p < 0.01 vs model ( n = 6). (E) WB analysis of EMT markers (E-cadherin, N-cadherin, and Vimentin) and PI3K/AKT/mTOR-CDK2 pathway proteins in resected tumor tissues. CENPI silencing induced a mesenchymal-to-epithelial reverting signature, with E-cadherin increased and N-cadherin/Vimentin suppressed. Concomitantly, p-PI3K, p-AKT, p-mTOR, and total CDK2 levels were diminished, indicating inactivation of the PI3K/AKT/mTOR-CDK2 relay, * p < 0.05 vs control, # p < 0.05, and ## p < 0.01 vs model ( n = 3). Data are presented as mean ± SD; error bars represent SD.

Article Snippet: CENPI-targeting siRNAs and a nontargeting control siRNA (si-NC) were synthesized by Sangon Biotech (Shanghai, China).

Techniques: Marker, shRNA, Control