human ovarian cancer cell line skov3 (ATCC)
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Human Ovarian Cancer Cell Line Skov3, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 7620 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/human+ovarian+cancer+cell+lines+skov3/SK-OV-3/pmc13084341-20-13-22
Average 99 stars, based on 7620 article reviews
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1) Product Images from "Blockade of co-inhibitory receptor immune checkpoint protein TIM3/CD366 augments the anti-cancer activity of CAR-T therapy in solid tumors: An ovarian cancer example"
Article Title: Blockade of co-inhibitory receptor immune checkpoint protein TIM3/CD366 augments the anti-cancer activity of CAR-T therapy in solid tumors: An ovarian cancer example
Journal: Genes & Diseases
doi: 10.1016/j.gendis.2025.101978
Figure Legend Snippet: Specific IFN-γ and TNF-α release of T lymphocytes transduced with TIM-3-silenced HER2-specific chimeric antigen receptor (CAR) or HER2-specific CAR. (A, B) TIM-3-silenced CAR-T cells and control T cells were co-incubated with Galectin-9 + or Galectin-9 – SKOV3 tumor cells (E:T ratio 5:1 or 10:1). At 20 h after coculture, a specific enzyme-linked immunosorbent assay was used to analyze the supernatant for IFN-γ cytokine-release. Results were presented as mean ± standard deviation. (C, D) The detection of TNF-α in the same culture supernatant. Results were presented as mean ± standard deviation. ∗ P < 0.05 and ∗∗ P < 0.01.
Techniques Used: Transduction, Control, Incubation, Enzyme-linked Immunosorbent Assay, Standard Deviation
Figure Legend Snippet: TIM-3 silencing augmented the anti-tumor activity of chimeric antigen receptor-T (CAR-T) cells in vivo . 2 × 10 6 SKOV3 tumor cells expressing luciferase were intraperitoneally inoculated in a xenograft mouse model, and 7 days after inoculation, the 2 × 10 6 HER2-specific CAR-T kdTim-3 cells or CAR-T cells, or untreated T cells were intraperitoneally administered. (A, B) Tumor growth was monitored using an in vivo imaging system. (C) Survival curve of 80-day post-treatment. ∗ P < 0.05 and ∗∗ P < 0.01.
Techniques Used: Activity Assay, In Vivo, Expressing, Luciferase, In Vivo Imaging
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This study aims to identify an optimal, biologically meaningful subset of mRNA biomarkers capable of distinguishing ovarian cancer samples from healthy controls using an integrated machine learning–based feature selection framework. |
