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Objective: To investigate the distribution characteristics of hepatitis B virus (HBV) genotypes and the variation situation of drug resistance gene in Heilongjiang area by the gene chip technology.Methods:Serum samples were randomly collected from 400 patients of hepatitis B in our hospital from November 2012 to November 2015.The HBV genotypes and drug resistance associated multiple sites in common 4 types of antiviral drug were detected by the gene chip technology of PCR combined with reverse dot blot.Results:Among 400 samples in Heilongjiang area,83.25 ％ genotypes were genotype C (333 cases),type B 7.25 ％ (29 cases),type D 0.25 ％ (1 case) and mixed type 2.75 ％ (11 cases);188 sites were found to be resistance mutants,the total resistance frequency was 45.19 ％,rt236T mutations in 10 samples prompted drug resistance-mutations for Adefovir drug,and the resistance frequency was 5.82 ％,and 126 samples drugs resistance-mutations was Lamivudine drug in major ofrt204I and (rt180M+rt204V).126 cases were related with Lamivudine resistance,which was significantly higher than other antiviral drugs,the risk of drug resistance was greater.Conclusions:The main HBV genotype is the genotype C in Heilongjiang area,genotype B and mixed genotype are unusual,which is more likely to happen resistance to Lamivudine. [ABSTRACT FROM AUTHOR]

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Objective: To screen different express genes of K562 cells treated by two kinds of TKIs by using the GEO database and explore the bioinformatics information, so as to provide the new molecular markers for treatment and resistance. Methods: The microarray data were collected from GEO database. SAM was used to find the DEGs. and then all DEGs were analyzed by STC. GO and Pathway analysis, finally created the gene signal network and gene coexpression networks. Results: There were 1000 DEGs. moreover the main results of GO and pathway analysis of DEGs were Metabolic pathways. Apoptosis. Pathways in cancer. Cell cycle. p53 signaling pathway. At last, we found the top 20 core of node genes, there were AK2. ADSL. PKLR. PKM. SHMT2. ATIC. LDHA. ENOl. CTH.GOT1, YARS. CYP3A5. CTH. GYPA. ALAS2. MTHFD2. BLVRB. GUK1. CTSH. LM02. Conclusion: By using bioinformatics methods, we analyzed the gene chips of K562,which helped us to understand the mechanism during TKI resistance and provided new potential treatment of targeted genes. [ABSTRACT FROM AUTHOR]