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hepg2 human hepatocellular carcinoma cells ![]() Hepg2 Human Hepatocellular Carcinoma Cells, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/result/hepg2 human hepatocellular carcinoma cells/product/ATCC Average 99 stars, based on 1 article reviews
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Journal: Genes & Diseases
Article Title: Elevated diurnal CD36 expression disrupts the bile acid synthesis rhythm leading to cholestatic liver injury and inflammation via the HMGCR/CYP7A1 axis
doi: 10.1016/j.gendis.2025.101776
Figure Lengend Snippet: Hepatic CD36 was elevated in patients with PBC and PSC, and CD36 displayed abnormally robust diurnal expression in mice with cholestatic liver injury. (A) Schematic representation of the study design for the clinical and animal experiments. The figure was created via BioRender.com. (B) Representative images of liver tissue subjected to immunohistochemistry staining (IHC) for CD36 in normal controls (NCs), PBC patients, and PSC patients. Scale bars: 100 or 500 μm. (C) Western blotting analysis of CD36 expression in the livers of NC ( n = 11), PBC ( n = 5), and PSC ( n = 6) patients. (D) Relative quantification of CD36 protein expression in livers from NC ( n = 11), PBC ( n = 5), and PSC ( n = 6) patients. (E) mRNA expression levels of CD36 in the livers from NC ( n = 11), PBC ( n = 5), and PSC ( n = 6) patients. (F) Linear regression analysis of the correlations between hepatic CD36 mRNA expression and serum ALP, GGT, TBA, and TBIL levels. (G) mRNA expression levels of CD36 in the livers of SHAM and BDL mice ( n = 4 per time point per group) over a 24 h period. (H) Diurnal CD36 protein expression levels from Western blotting analysis of liver tissues from the SHAM and BDL mice ( n = 3 per time point per group). (I) Relative quantification of CD36 protein diurnal expression in liver tissues from the SHAM and BDL mice. (J) Double immunofluorescence staining for CD36 (green) and ALB (red) in the SHAM and BDL mice. Nuclei were counterstained with DAPI (blue). Scale bar: 100 μm. (K) Double immunofluorescence staining for CD36 (green) and CK19 (red) in the SHAM and BDL mice. Nuclei were counterstained with DAPI (blue). Scale bar: 100 μm. (L) Quantitative reverse transcription PCR analysis of CD36 mRNA levels in HepG2 and AML12 cells cultured for 6 h with cholic acid (CA), chenodeoxycholic acid (CDCA), and deoxycholic acid (DCA) at the indicated doses ( n = 6). All the data were presented as mean ± SEM. Group comparisons were performed via two-way ANOVA. ∗ p < 0.05, ∗∗ p < 0.01, and ∗∗∗ p < 0.001 versus the control group. ZT0 refers to the beginning of the subjective circadian period (6:00 a.m.). The black bars indicate the dark phase from 6:00 p.m. to 6:00 a.m. PBC, primary biliary cholangitis; PSC, primary sclerosing cholangitis; ALP, alkaline phosphatase; GGT, gamma-glutamyl transferase; TBA, total bile acids; TBIL, total bilirubin; BDL, bile duct ligation; ALB, albumin; CD36, cluster of differentiation 36.
Article Snippet:
Techniques: Expressing, Immunohistochemistry, Staining, Western Blot, Quantitative Proteomics, Double Immunofluorescence Staining, Reverse Transcription, Cell Culture, Control, Ligation
Journal: Tumour Virus Research
Article Title: PRMT5–mediated symmetric dimethylation of SHBs at Arg169 stabilizes SHBs and promotes angiogenesis and tumor growth
doi: 10.1016/j.tvr.2026.200340
Figure Lengend Snippet: SHBs is symmetrically dimethylated at arginine 169. (A–C) Huh7 and HepG2 cells were transfected with plasmids encoding SHBs–Strep–Flag or Strep–Flag control. Strep pull–down (IP:Strep) was performed, followed by Western blot (WB) with antibodies against (A) monomethylarginine (MMA), (B) asymmetric dimethylarginine (ADMA), or (C) symmetric dimethylarginine (SDMA). SHBs in the IP fraction and SHBs/β–actin in input lysates are shown as controls. (D) Cells expressing SHBs–Strep–Flag were treated with adenosine dialdehyde (ADOX, 40 μM) for 36 h, followed by Strep pull–down and WB for SDMA and SHBs. Densitometric ratios (SDMA/IP–SHBs and SHBs/β–actin) are shown above/below the blots. (E) Huh7 cells were transfected with plasmids encoding SHBs–Strep–Flag or the indicated R→K mutants (R73K, R78K, R79K, R169K). SDMA on immunoprecipitated SHBs was assessed by Strep pull–down and WB; densitometric SDMA/IP–SHBs ratios are shown above the blots. (F–G) HepG2 cells were transfected with plasmids encoding SHBs–Strep–Flag or SHBs/R169K–Strep–Flag (F) and SHBs/R169A–Strep–Flag (G) and analyzed by Strep pull–down and WB as in (E).
Article Snippet:
Techniques: Transfection, Control, Western Blot, Expressing, Immunoprecipitation
Journal: Tumour Virus Research
Article Title: PRMT5–mediated symmetric dimethylation of SHBs at Arg169 stabilizes SHBs and promotes angiogenesis and tumor growth
doi: 10.1016/j.tvr.2026.200340
Figure Lengend Snippet: PRMT interacts with SHBs. (A) Huh7 cells were co–transfected with plasmids encoding SHBs–Strep–Flag (or Strep–Flag control) together with Flag–PRMT9. Strep pull–down was followed by WB with anti–Flag and anti–SHBs to assess co–precipitation. (B) Huh7 and HepG2 cells were co–transfected with plasmids encoding SHBs–Strep–Flag (or Strep–Flag control) together with Flag–PRMT5 and analyzed by Strep pull–down and WB as in (A). (C) Huh7 and HepG2 cells were co–transfected with plasmids encoding Strep–Flag–PRMT5 and SHBs–myc. Strep pull–down was performed and precipitates were immunoblotted for SHBs and Flag to validate the interaction. (D) Direct interaction between SHBs and PRMT5 was tested by GST pull–down. Purified GST or GST–PRMT5 (Coomassie–stained gel, left) was incubated with in vitro–translated SHBs–Flag, and bound SHBs was detected by WB using anti–Flag (right). (E) Confocal microscopy showing subcellular localization of SHBs (red) and PRMT5 (green) with nuclear DAPI staining (blue). Merged images and a representative line–scan fluorescence intensity profile (right) are shown.
Article Snippet:
Techniques: Transfection, Control, Purification, Staining, Incubation, In Vitro, Confocal Microscopy, Fluorescence
Journal: Tumour Virus Research
Article Title: PRMT5–mediated symmetric dimethylation of SHBs at Arg169 stabilizes SHBs and promotes angiogenesis and tumor growth
doi: 10.1016/j.tvr.2026.200340
Figure Lengend Snippet: PRMT5 stabilizes SHBs protein expression in an Arg169–dependent manner. (A) Huh7 and HepG2 cells were co–transfected with plasmids encoding SHBs–Strep–Flag or SHBs/R169K–Strep–Flag together with increasing amounts of Flag–PRMT5 (0, 1, 3 μg). Whole–cell lysates were immunoblotted for SHBs, Flag, and β–actin; SHBs/β–actin ratios are shown above the blots. (B) Cells expressing SHBs–Strep–Flag or SHBs/R169K–Strep–Flag were transfected with NC or PRMT5 siRNAs (#1, #2). Lysates were immunoblotted for SHBs, PRMT5, and β–actin; SHBs/β–actin ratios are shown. (C–D) Cycloheximide (CHX) chase assays in (C) Huh7 and (D) HepG2 cells. Cells expressing SHBs or SHBs/R169K with vector or Flag–PRMT5 were treated with CHX for the indicated times (0–120 min), followed by WB for SHBs, Flag, and β–actin. Plots show relative SHBs levels normalized to time 0 with fitted linear regression (equations displayed). (E) HepG2 cells were co–transfected with plasmids encoding SHBs–Strep, HA–K48Ub, together with or without Flag–PRMT5, and treated with MG132 (20 μM) for 8 h, the ubiquitination levels of SHBs was evaluated via ubiquitination assay analysis. (F) HepG2 cells were co–transfected with plasmid encoding SHBs–Strep and TRIM21–myc (or control vector) and Flag–PRMT5 (or control vector), the cell lysates were subjected to immunoprecipitation using Strep–Tactin and analyzed by immunoblotting.
Article Snippet:
Techniques: Expressing, Transfection, Plasmid Preparation, Ubiquitin Proteomics, Control, Immunoprecipitation, Western Blot
Journal: Tumour Virus Research
Article Title: PRMT5–mediated symmetric dimethylation of SHBs at Arg169 stabilizes SHBs and promotes angiogenesis and tumor growth
doi: 10.1016/j.tvr.2026.200340
Figure Lengend Snippet: Arg169 symmetric dimethylation is required for SHBs–driven angiogenesis and tumor growth. (A) WB analysis of SHBs and BIP expression in stably transduced Huh7 and HepG2 cells (Vector, SHBs, and SHBs/R169K). (B) ELISA measurement of VEGFA levels in the supernatants of Huh7/HepG2–Vector, Huh7/HepG2–SHBs, or Huh7/HepG2–SHBs/R169K cells. (C) Endothelial tube formation assay. EA.hy926 cells were cultured with conditioned media (CM) from Huh7 or HepG2 stable lines (Vector, SHBs, SHBs/R169K). Representative images and quantification of mesh numbers are shown. (D) Transwell migration assay. EA.hy926 cells were assessed for migration in response to CM from the indicated stable lines. Representative images and quantification of migrated cell numbers per field are shown. (E) Representative images of excised subcutaneous xenograft tumors derived from Huh7–Vector, Huh7–SHBs, or Huh7–SHBs/R169K cells. (F) Tumor growth curves (tumor volume over time) for the indicated xenograft groups. (G) Tumor weights at endpoint. (H) Representative immunohistochemical staining of xenograft tumors for CD31 and SHBs, with quantification of microvessel density (MVD) based on CD31 staining. Data are presented as mean ± SD; ∗ P < 0.05 as indicated.
Article Snippet:
Techniques: Expressing, Stable Transfection, Plasmid Preparation, Enzyme-linked Immunosorbent Assay, Endothelial Tube Formation Assay, Cell Culture, Transwell Migration Assay, Migration, Derivative Assay, Immunohistochemical staining, Staining
Journal: Food Chemistry: Molecular Sciences
Article Title: Sangyod rice extract attenuates oleic acid–induced hepatic steatosis by modulating apoptotic, inflammatory, and lipid metabolic pathways
doi: 10.1016/j.fochms.2026.100387
Figure Lengend Snippet: Sangyod rice extract demonstrated a reduction in cytotoxicity and ROS levels in OA-induced HepG2 cells. (A) Viability of HepG2 cells exposed to different concentrations of Sangyod rice extract. (B) Viability of Sangyod rice extract treatment after OA-induced HepG2 cells. (C) ROS generation in OA-induced HepG2 cells. Results are presented as the mean ± SEM from four independent biological experiments ( n = 4). One-way ANOVA followed by Tukey ' s post hoc test was used to determine statistical significance. * p < 0.05 compared to the control group, and # p < 0.05 compared to the OA group. Groups: Control (0.1% DMSO); OA (0.4 mM), oleic acid-induced HepG2 cells without treatment; SR 10, OA-induced HepG2 cells +10 μg/mL Sangyod rice extract; SR 50, OA-induced HepG2 cells +50 μg/mL Sangyod rice extract; SR 100, OA-induced HepG2 cells +100 μg/mL Sangyod rice extract.
Article Snippet: The
Techniques: Control
Journal: Food Chemistry: Molecular Sciences
Article Title: Sangyod rice extract attenuates oleic acid–induced hepatic steatosis by modulating apoptotic, inflammatory, and lipid metabolic pathways
doi: 10.1016/j.fochms.2026.100387
Figure Lengend Snippet: Sangyod rice extract inhibited apoptosis in OA-induced HepG2 cells by suppressing the Bax and caspase-3 pathway. (A) Representative images of nuclei stained with Hoechst 33342. Images shown at ×20 magnification. Scale bar: 50 μm. (B) Percentage of apoptotic cells after treatment with Sangyod rice extract in OA-induced HepG2 cells. (C) Western blot analysis of Bax, Bcl-2, procaspase-3, and cleaved caspase-3. (D) Relative expression of Bax and Bcl-2. (E) Relative expression of procaspase 3, and cleaved caspase 3. Results are presented as the mean ± SEM from four independent biological experiments ( n = 4). One-way ANOVA followed by Tukey ' s post hoc test was used to determine statistical significance. *p < 0.05 compared to the control group, and #p < 0.05 compared to the OA group. Groups: Control (0.1% DMSO); OA (0.4 mM), oleic acid-induced HepG2 cells without treatment; SR 10, OA-induced HepG2 cells +10 μg/mL Sangyod rice extract; SR 50, OA-induced HepG2 cells +50 μg/mL Sangyod rice extract; SR 100, OA-induced HepG2 cells +100 μg/mL Sangyod rice extract.
Article Snippet: The
Techniques: Staining, Western Blot, Expressing, Control
Journal: Food Chemistry: Molecular Sciences
Article Title: Sangyod rice extract attenuates oleic acid–induced hepatic steatosis by modulating apoptotic, inflammatory, and lipid metabolic pathways
doi: 10.1016/j.fochms.2026.100387
Figure Lengend Snippet: Sangyod rice extract attenuated inflammation in OA-induced HepG2 cells through inhibition of the NF-κB pathway. (A) TNF-α gene, (B) IL-1β gene, (C) IL-6 gene, (D) IL-10 gene. (E) Western blot analysis of NF-κB. (F) Relative expression of NF-κB protein. Results are presented as the mean ± SEM from four independent biological experiments (n = 4). One-way ANOVA followed by Tukey ' s post hoc test was used to determine statistical significance. *p < 0.05 indicates significance compared to the control group, while #p < 0.05 denotes significance compared to the OA group. Groups: Control (0.1% DMSO); OA (0.4 mM), oleic acid-induced HepG2 cells without treatment; SR 10, OA-induced HepG2 cells +10 μg/mL Sangyod rice extract; SR 50, OA-induced HepG2 cells +50 μg/mL Sangyod rice extract; SR 100, OA-induced HepG2 cells +100 μg/mL Sangyod rice extract.
Article Snippet: The
Techniques: Inhibition, Western Blot, Expressing, Control
Journal: Food Chemistry: Molecular Sciences
Article Title: Sangyod rice extract attenuates oleic acid–induced hepatic steatosis by modulating apoptotic, inflammatory, and lipid metabolic pathways
doi: 10.1016/j.fochms.2026.100387
Figure Lengend Snippet: Sangyod rice extract reduced lipid accumulation in OA-induced HepG2 cells. (A) Oil Red O staining was conducted on HepG2 cells, with red fat droplets indicating lipid accumulation. Images shown at ×20 magnification. Scale bar: 50 μm. (B) Percentage of lipid accumulation post Oil Red O extraction. (C) Levels of TG were measured using an assay kit. The data is displayed as mean ± SEM from four independent biological experiments (n = 4). One-way ANOVA followed by Tukey ' s post hoc test was used to determine statistical significance. *p < 0.05 indicates significance compared to the control group, while #p < 0.05 denotes significance compared to the OA group. Groups: Control (0.1% DMSO); OA (0.4 mM), oleic acid-induced HepG2 cells without treatment; SR 10, OA-induced HepG2 cells +10 μg/mL Sangyod rice extract; SR 50, OA-induced HepG2 cells +50 μg/mL Sangyod rice extract; SR 100, OA-induced HepG2 cells +100 μg/mL Sangyod rice extract.
Article Snippet: The
Techniques: Staining, Extraction, Control
Journal: Food Chemistry: Molecular Sciences
Article Title: Sangyod rice extract attenuates oleic acid–induced hepatic steatosis by modulating apoptotic, inflammatory, and lipid metabolic pathways
doi: 10.1016/j.fochms.2026.100387
Figure Lengend Snippet: Effect of Sangyod rice extract on lipid metabolism in OA-induced HepG2 cells. (A) SREBP-1c gene (B) ACC gene, (C) FASN gene (D) CPT-1 A gene, (E) SCD1 gene, (F) MTTP gene. The data is displayed as mean ± SEM from four independent biological experiments (n = 4). One-way ANOVA followed by Tukey ' s post hoc test was used to determine statistical significance. *p < 0.05 indicates significance compared to the control group, while #p < 0.05 denotes significance compared to the OA group. Groups: Control (0.1% DMSO); OA (0.4 mM), oleic acid-induced HepG2 cells without treatment; SR 10, OA-induced HepG2 cells +10 μg/mL Sangyod rice extract; SR 50, OA-induced HepG2 cells +50 μg/mL Sangyod rice extract; SR 100, OA-induced HepG2 cells +100 μg/mL Sangyod rice extract.
Article Snippet: The
Techniques: Control
Journal: Food Chemistry: Molecular Sciences
Article Title: Sangyod rice extract attenuates oleic acid–induced hepatic steatosis by modulating apoptotic, inflammatory, and lipid metabolic pathways
doi: 10.1016/j.fochms.2026.100387
Figure Lengend Snippet: Effect of Sangyod rice extract on the expression of LPL-1, LPL-2, PGC-1α and PPARα in OA-induced HepG2 cells. (A) LPL-1 gene (B) LPL-2 gene, (C) PPARα gene (D) PGC-1α gene. The data is displayed as mean ± SEM from four independent biological experiments (n = 4). One-way ANOVA followed by Tukey ' s post hoc test was used to determine statistical significance. *p < 0.05 indicates significance compared to the control group, while #p < 0.05 denotes significance compared to the OA group. Groups: Control (0.1% DMSO); OA (0.4 mM), oleic acid-induced HepG2 cells without treatment; SR 10, OA-induced HepG2 cells +10 μg/mL Sangyod rice extract; SR 50, OA-induced HepG2 cells +50 μg/mL Sangyod rice extract; SR 100, OA-induced HepG2 cells +100 μg/mL Sangyod rice extract.
Article Snippet: The
Techniques: Expressing, Control
Journal: Food Chemistry: Molecular Sciences
Article Title: Sangyod rice extract attenuates oleic acid–induced hepatic steatosis by modulating apoptotic, inflammatory, and lipid metabolic pathways
doi: 10.1016/j.fochms.2026.100387
Figure Lengend Snippet: Sangyod rice extract regulates lipid metabolism through the Akt and MAPK signaling pathways. (A) Western blot analysis of Akt, ERK1/2 amd p38 MAPK, (B) Relative expression of pERK/ERK protein, (C) Relative expression of p-p38/p38 protein, (D) Relative expression of pAkt/Akt protein. The data is displayed as mean ± SEM from four independent biological experiments (n = 4). One-way ANOVA followed by Tukey ' s post hoc test was used to determine statistical significance. *p < 0.05 indicates significance compared to the control group, while #p < 0.05 denotes significance compared to the OA group. Groups: Control (0.1% DMSO); OA (0.4 mM), oleic acid-induced HepG2 cells without treatment; SR 10, OA-induced HepG2 cells +10 μg/mL Sangyod rice extract; SR 50, OA-induced HepG2 cells +50 μg/mL Sangyod rice extract; SR 100, OA-induced HepG2 cells +100 μg/mL Sangyod rice extract.
Article Snippet: The
Techniques: Protein-Protein interactions, Western Blot, Expressing, Control
Journal: iScience
Article Title: F-53B exposure accelerates progression from preexisting fatty liver to non-alcoholic steatohepatitis and hepatic fibrosis
doi: 10.1016/j.isci.2026.115675
Figure Lengend Snippet: Knockdown of L-FABP mitigated F-53B-induced damage in HepG2 cells (A) Liver-type fatty acid-binding protein (L-FABP) knockdown was confirmed by immunoblot analysis using glyceraldehyde-3-phosphate dehydrogenase (GAPDH) as the loading control ( n = 6). (B) Calculated L-FABP/GAPDH ratio ( n = 6) based on the immunoblot results shown in (A). (C) Effects of different treatments on TG content in HepG2 cells ( n = 5). (D) Fold change of TG content in NC + F-53B/NC and L-FABP KD + F-53B/L-FABP KD groups ( n = 5). (E) Interleukin-6 (IL-6) expression in HepG2 cells following different treatments. (F) Relative IL-6 expression (IL-6/GAPDH) ( n = 6). (G) Fold change of IL-6 (relative to respective control) in NC vs. L-FABP KD groups with F-53B treatment ( n = 6). (H) Transforming growth factor β1 (TGF-β1) expression in HepG2 cells following different treatments. (I) Relative TGF-β1 expression (TGF-β1/GAPDH) ( n = 6). (J) Fold change of TGF-β1 (relative to respective control) in NC vs. L-FABP KD groups with F-53B treatment ( n = 6). NC, negative control siRNA group. NC + F-53B, NC with 5 mg/L F-53B group. L-FABP KD, L-FABP-knockdown group. L-FABP KD + F-53B, L-FABP KD with 5 mg/L F-53B group. Data are presented as mean ± SEM. The significance of differences between two groups was determined using the Mann-Whitney U test, and is indicated by hash symbols: # p < 0.05, ## p < 0.01.
Article Snippet:
Techniques: Knockdown, Binding Assay, Western Blot, Control, Expressing, Negative Control, MANN-WHITNEY
Journal: iScience
Article Title: F-53B exposure accelerates progression from preexisting fatty liver to non-alcoholic steatohepatitis and hepatic fibrosis
doi: 10.1016/j.isci.2026.115675
Figure Lengend Snippet: Knockdown of L-FABP mitigated F-53B-induced damage in HepG2 cells (A) Liver-type fatty acid-binding protein (L-FABP) knockdown was confirmed by immunoblot analysis using glyceraldehyde-3-phosphate dehydrogenase (GAPDH) as the loading control ( n = 6). (B) Calculated L-FABP/GAPDH ratio ( n = 6) based on the immunoblot results shown in (A). (C) Effects of different treatments on TG content in HepG2 cells ( n = 5). (D) Fold change of TG content in NC + F-53B/NC and L-FABP KD + F-53B/L-FABP KD groups ( n = 5). (E) Interleukin-6 (IL-6) expression in HepG2 cells following different treatments. (F) Relative IL-6 expression (IL-6/GAPDH) ( n = 6). (G) Fold change of IL-6 (relative to respective control) in NC vs. L-FABP KD groups with F-53B treatment ( n = 6). (H) Transforming growth factor β1 (TGF-β1) expression in HepG2 cells following different treatments. (I) Relative TGF-β1 expression (TGF-β1/GAPDH) ( n = 6). (J) Fold change of TGF-β1 (relative to respective control) in NC vs. L-FABP KD groups with F-53B treatment ( n = 6). NC, negative control siRNA group. NC + F-53B, NC with 5 mg/L F-53B group. L-FABP KD, L-FABP-knockdown group. L-FABP KD + F-53B, L-FABP KD with 5 mg/L F-53B group. Data are presented as mean ± SEM. The significance of differences between two groups was determined using the Mann-Whitney U test, and is indicated by hash symbols: # p < 0.05, ## p < 0.01.
Article Snippet:
Techniques: Knockdown, Binding Assay, Western Blot, Control, Expressing, Negative Control, MANN-WHITNEY
Journal: Science Advances
Article Title: In vivo membrane engineering traps Gd-based MRI contrast agents for detecting microhepatocellular carcinoma
doi: 10.1126/sciadv.aec9913
Figure Lengend Snippet: ( A ) Representative Western blot analysis of GPC3 expression in HepG2, WRL-68, and Hepa1-6 cells ( n = 3 independent experiments). ( B ) Quantitation of relative GPC3 protein level from (A). Data are presented as means ± SD ( n = 3). Statistical analysis was performed using one-way ANOVA with a Tukey’s post hoc test. ( C ) Flow cytometry analysis of surface GPC3 expression in HepG2, WRL-68, and Hepa1-6 cells. ( D ) Representative IHC images of GPC3 expression (brown) in tumor tissues from orthotopic Hepa1-6 tumor-bearing mice. Scale bar, 50 μm. ( E ) CLSM images of HepG2 and Hepa1-6 cells treated with SPD1 or SPD2 nanoparticles (50 μM; red fluorescence) for 6 hours. Scale bars, 20 μm. ( F ) Time-dependent CLSM imaging of HepG2 cells treated with SPD1 nanoparticles (50 μM) showing membrane-localized fibrillar transformation. Scale bars, 20 μm. ( G ) CLSM analysis of HepG2 cells sequentially incubated with SPD1 or SPD2 nanoparticles (50 μM, 6 hours; red) and FITC-labeled anti-GPC3 antibody (green; 1:200; Abcam, #ab207080). Colocalization (yellow) indicates specific binding of SPD1 to membrane-bound GPC3. Fluorescence intensity and colocalization were quantified using MATLAB. Data are presented as means ± SD ( n = 3); n.s., not significant (one-way ANOVA with Tukey’s post hoc test). Scale bars, 20 μm. ( H ) SEM images of untreated HepG2 and WRL-68 cells or incubated with SPD1 or SPD2 nanoparticles (50 μM, 6 hours). Magnified insets highlight membrane-associated fibrillar structures. ( I ) TEM images of untreated HepG2 cells (top) and those treated with SPD1 nanoparticles (50 μM, 24 hours; bottom). Red arrows indicate membrane-associated nanofibers. Scale bars, 500 nm. ( J ) SEM images showing the persistence of SPD1-derived fibrillar networks on HepG2 cells at 6, 24, and 72 hours posttreatment (50 μM). Scale bars, 2 μm. All experiments were independently repeated three times with consistent and reproducible results.
Article Snippet:
Techniques: Western Blot, Expressing, Quantitation Assay, Flow Cytometry, Fluorescence, Imaging, Membrane, Transformation Assay, Incubation, Labeling, Binding Assay, Derivative Assay
Journal: Science Advances
Article Title: In vivo membrane engineering traps Gd-based MRI contrast agents for detecting microhepatocellular carcinoma
doi: 10.1126/sciadv.aec9913
Figure Lengend Snippet: ( A ) Representative CLSM images of HepG2 cells incubated with SPD1 nanoparticles (red, 50 μM) for 6 hours, followed by treatment with FITC-N 3 (10 to 50 μM, green) for an additional 6 hours. Merged yellow fluorescence indicates successful copper-free click conjugation between DBCO and N 3 on the cell membrane. Cells treated with SPD2+FITC-N 3 (50 μM) served as the nontargeted controls, showing minimal colocalization. Scale bars, 20 μm. ( B ) Time-dependent kinetics of bioorthogonal conjugation quantified by BCA protein assay and ICP-MS. HepG2 cells were pretreated with SPD1 or SPD2 nanoparticles (50 μM, 6 hours), followed by incubation with Gd-DOTA-N 3 (50 μM) for 0.5, 1, 6, or 12 hours. Cells treated with Gd-DOTA-N 3 alone served as baseline controls. ( C ) T 1 -weighted MR images of HepG2 cells treated with Gd-DOTA (50 μM), Gd-DOTA-N 3 (50 μM), or sequentially with SPD1 or SPD2 (50 μM, 6 hours) followed by Gd-DOTA-N 3 (50 μM, 6 hours). ( D ) Quantitative r 1 relaxivity under the corresponding treatment conditions in (C). ( E ) r 1 relaxivity of HepG2 cells preblocked with anti-GPC3 antibody (5 μg/ml, 12 hours; Abcam, #ab207080) before SPD1 treatment (50 μM, 6 hours) followed by Gd-DOTA-N 3 (50 μM, 6 hours). ( F to H ) Cell viability of WRL-68 (F), HepG2 (G), and Hepa1-6 (H) cells after sequential treatment with SPD1 or SPD2 for 6 hours followed by Gd-DOTA-N 3 (50 μM, 6 hours). Cell viability was quantified using the CCK-8 assay. Data are presented as means ± SD { n = 3 for [(A) to (E)]; n = 6 for [(F) to (H)]}. Statistical significance was performed using one-way ANOVA followed by Tukey’s post hoc test. P < 0.05 was considered statistically significant; n.s., not significant. All experiments were independently repeated three times with consistent results.
Article Snippet:
Techniques: Incubation, Fluorescence, Conjugation Assay, Membrane, Bicinchoninic Acid Protein Assay, CCK-8 Assay
Journal: PLOS One
Article Title: Unraveling the role of ChREBP in lung adenocarcinoma: Expression, regulatory networks, and potential functional impact
doi: 10.1371/journal.pone.0347907
Figure Lengend Snippet: (A) Expression levels of ChREBP ( MLXIPL ) in 66 human LUAD cell lines, derived from RNA-seq datasets available in the EMBL-EBI Expression Atlas, are presented in transcripts per million (TPM). (B-F) Expression of ChREBP in NCI-H1975, NCI-H1650, NCI-H2228 and HepG2 cells assessed using RT-qPCR assays. (B) Expression level of seven candidate HKGs. Cycle threshold (Ct) values are displayed. (C) Average expression stability values of seven HKGs determined by geNorm are shown. Expression levels of total ChREBP (D), ChREBP-α (E), and ChREBP-β (F) were normalized against the three most stable HKGs, RPS13, QARS, and RNA18S . Data represents the results of three independent experiments. Asterisks (*) indicate a significance level of p < 0.05 compared to the expression levels in the HepG2 cell line.
Article Snippet: The NCI-H1975 (ATCC CRL-5908), NCI-H1650 (ATCC CRL-5883), NCI-H2228 (ATCC CRL-5935), and
Techniques: Expressing, Derivative Assay, RNA Sequencing, Quantitative RT-PCR