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2results about How to "Solve key technical problems" patented technology

Use of glutaroyl-coa dehydrogenase in inducing ferroptosis of liver cancer cells

PendingCN122357724ASolve key technical problemsEfficient killingGlutaric acidOncology
The application provides application of glutaroyl-CoA dehydrogenase in inducing ferroptosis of liver cancer cells, and belongs to the technical field of biotechnology.The application provides application of glutaroyl-CoA dehydrogenase (GCDH) in preparing products for evaluating risk of liver cancer and evaluating prognosis risk of liver cancer, and the tumor stage and T grade can be estimated by detecting the expression amount of GCDH, and the survival effect of liver cancer patients is evaluated.The application provides application of the overexpression reagent of GCDH in preparing products for inhibiting proliferation of liver cancer cells and inducing ferroptosis of liver cancer cells, and the ferroptosis of liver cancer cells is promoted by overexpressing GCDH in cells, and the colony formation ability of liver cancer cells is reduced.Further, the application provides application of the overexpression reagent of GCDH combined with a CA9 inhibitor in preparing products for inhibiting proliferation of liver cancer cells.
Owner:GUANGXI MEDICAL UNIVERSITY

Individual Identification Methods and Systems Based on Whole-Genome Single Nucleotide Polymorphism Data

ActiveCN121459920BSolve key technical problemsget rid of dependenceProteomicsGenomicsGenotyping error rateNucleotide
This invention discloses an individual identification method and system based on whole-genome single nucleotide polymorphism (SNP) data, belonging to the field of forensic genetics technology. The specific steps are as follows: obtaining the intersection SNP sites of the sample pairs to be identified, constructing a linkage-equilibrium SNP site set; evaluating the individual identification ability of the linkage-equilibrium SNP site set based on a power evaluation index, generating an optimal SNP site set; under the set mutual exclusion hypothesis, calculating the probability value of each optimal SNP site based on the population genotype frequency and the prior genotyping error rate, and calculating the total likelihood ratio based on the probability values ​​of each optimal SNP site; selecting a supporting hypothesis or hypothesis based on the relationship between the total likelihood ratio and a preset threshold. This invention, by introducing a semi-continuous likelihood ratio calculation model that integrates the genotyping error rate, can scientifically handle and explain the unavoidable genotyping errors in whole-genome sequencing data.
Owner:SICHUAN UNIV