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Image Search Results
Journal: International Journal of Oncology
Article Title: Circ72309 modulates gemcitabine metabolism and gemcitabine sensitivity in pancreatic cancer: Serum Circ72309 levels as a potential predictor of treatment response
doi: 10.3892/ijo.2026.5849
Figure Lengend Snippet: Effects of circ72309 overexpression on cellular function in gemcitabine-resistant cell lines. (A) Vector schema for overexpression of circ72309. (B) Dose-response curves of gemcitabine in GR_NC and GR_circ72309OE clones. GR_circ72309OE clones showed a concentration-dependent decrease in viability with a typical sigmoidal fitting (IC 50 values: GR3, 13.3 ng/ml, R 2 =0.974; GR8, 130 ng/ml, R 2 =0.951; GR10, 16.9 ng/ml, R 2 =0.984), whereas GR_NC cells retained high viability even at maximal gemcitabine concentrations, consistent with the resistant phenotype. Fitted curves are shown as solid lines, while resistant clone values without a typical sigmoidal decline are represented as dashed lines. (C) MTT assays were used to assess the effects of si-circ72309 in PC cell lines (MIAPaCa-2, PSN-1 and Panc-1). Dose-response curves were analyzed using non-linear regression with a four-parameter logistic model; all fitted curves showed excellent agreement with the experimental data (R 2 >0.95). Fitted curves are shown as solid lines. (D) Apoptosis assays following treatment with 20 ng/ml gemcitabine. * P<0.05. circRNA, circular RNA; PC, pancreatic cancer; GR, gemcitabine resistant; NC, negative control; siRNA, small interfering RNA.
Article Snippet: In the present study, three human PC cell lines: MIAPaCa-2 (RRID: CVCL_0428) purchased from the Japan Cancer Research Resources Bank, Panc-1 (RRID: CVCL_0480) purchased from the
Techniques: Over Expression, Cell Function Assay, Plasmid Preparation, Clone Assay, Concentration Assay, Negative Control, Small Interfering RNA
Journal: Journal of Imaging
Article Title: TM-Net: A Neural Net Architecture for Tone Mapping
doi: 10.3390/jimaging8120325
Figure Lengend Snippet: Mean (±standard deviation) PSNR and SSIM statistics for both networks using the Challenging Images dataset.
Article Snippet: To obtain these statistics, we used
Techniques: Standard Deviation