annexin v apc pi double staining apoptosis detection kit (Keygen Biotech)
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Annexin V Apc Pi Double Staining Apoptosis Detection Kit, supplied by Keygen Biotech, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/annexin+v+apc+pi+double+staining+apoptosis+detection+kit/pmc13143765-99-21-29?v=Keygen+Biotech
Average 86 stars, based on 1 article reviews
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1) Product Images from "ITPKA suppresses glioma progression and predicts patient prognosis"
Article Title: ITPKA suppresses glioma progression and predicts patient prognosis
Journal: Frontiers in Oncology
doi: 10.3389/fonc.2026.1802857
Figure Legend Snippet: Effect of ITPKA overexpression on the functional characteristics of GBM cells. Flow cytometry analysis (A, B) shows the effect of upregulated ITPKA expression on the cell cycle progression of U251-MG and T98G cells; (C, D) evaluates the effect of upregulated ITPKA expression on the apoptosis level of the two indicated cell lines. All experimental data are presented as mean ± standard deviation (SD) from six independent repeated experiments, and Student’s t-test was used for statistical analysis. Data annotation: ns: not significant; *p < 0.05, ****p < 0.0001.
Techniques Used: Over Expression, Functional Assay, Flow Cytometry, Expressing, Standard Deviation
Figure Legend Snippet: Effect of ITPKA knockdown on the functional characteristics of GBM cells. Flow cytometry analysis (A, B) shows the effect of downregulated ITPKA expression on the cell cycle progression of U251-MG and T98G cells; (C, D) evaluates the effect of downregulated ITPKA expression on the apoptosis level of the two indicated cell lines. All experimental data are presented as mean ± standard deviation (SD) from six independent repeated experiments, and Student’s t-test was used for statistical analysis. Data annotation: ns: not significant; *p < 0.05, **p < 0.01, ****p < 0.0001.
Techniques Used: Knockdown, Functional Assay, Flow Cytometry, Expressing, Standard Deviation


