C-Terminal carboxyl methylation of a human placental 23 kDa protein catalyzed by membrane-associated methyltransferase has been investigated. The 23 kDa protein substrate methylated was partially purified by DEAE-Sephacel, hydroxyapatite and Sephadex G-100 gel filtration chromatographies. The substrate protein was eluted on Sephadex G-100 gel filtration chromatography as a protein of about 29 kDa. In the absence of Mg2+, the methylation was stimulated by guanine nucleotides (GTP, GDP and GTPgammaS), but in the presence of Mg2+, only GTPgammaS stimulated the methylation which was similar to the effect on the G25K/rhoGDI complex. AFC, an inhibitor of C-terminal carboxyl methylation, inhibited the methylation of human placental 23 kDa protein. These results suggests that the substrate is a small G protein different from the G25K and is methylated on C-terminal isoprenylated cysteine residue. This was also confirmed by vapor phase analysis. The methylated substrate protein was redistributed to membrane after in vitro methylation, suggesting that the methylation of this protein is important for the redistribution of the 23 kDa small G protein for its putative role in intracellular signaling.
Cysteine/metabolism* ; Female ; GTP-Binding Proteins/metabolism* ; Guanine Nucleotides/pharmacology ; Human ; Methylation ; Placenta/metabolism* ; Placenta/enzymology ; Pregnancy ; Pregnancy Proteins/metabolism* ; Protein Methyltransferases/metabolism*

Objective: To analyze guanine nucleotide-binding protein subunit beta-2-like 1 (GNB2L1) expression based on bioinformatics, so as to evaluate its role and its relationship with survival rate during the occurrence and development of hepatocellular carcinoma. Methods: GEPIA, UALCAN and HPA databases were used to analyze the expression level of GNB2L1 and its relationship with HCC survival rate. Mutations in the GNB2L1 gene and their impact on survival were analyzed using the cBioPortal database. LinkedOmics database was used to analyze GNB2L1-related genes in HCC. Gene Ontology (GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were performed simultaneously. STEING database was used to construct the GNB2L1 protein interaction network. TIMER database was used to analyze the relationship between GNB2L1 gene expression and immune infiltration in hepatocellular carcinoma. Differential expression of GNB2L1 in plasma platelets of HCC patients and healthy controls was analyzed using mRNA-based sequencing technology. Data between groups were compared using an independent-samples t-test. Results: GNB2L1 expression level was significantly increased in HCC tissues (P<0.05), and its expression was significantly correlated with body weight, classification and stage (P<0.05). The overall survival rate was higher in GNB2L1 low expression group (P<0.001). GNB2L1 and its related genes were related to biological process regulation, metabolic process, protein binding, oxidative phosphorylation, JAK-STAT signaling pathway, Ras signaling pathway and so on. GNB2L1 had interaction with RPS12, RPS11 and RPL19, and participated in multiple biological processes such as liver regeneration and positive regulation of endogenous apoptotic signaling pathway. GNB2L1 expression was significantly positively correlated with the infiltration degree of various immune cells in HCC (P<0.05). Cox regression analysis showed that GNB2L1 was an independent risk factor for lower survival rate in patients with HCC [Hazard ratio (95% confidence interval)=1.456 (1.034~2.051), P=0.031]. GNB2L1expression levels were significantly higher in platelets of HCC patients than that of healthy controls (10.40±1.36 vs. 9.58±0.51, t=2.194, P=0.037). Conclusion: GNB2L1 has high expression and close relationship to survival rate in HCC. Therefore, GNB2L1 may be a potential biomarker of HCC.
Humans ; Carcinoma, Hepatocellular/pathology* ; Computational Biology ; Liver Neoplasms/pathology* ; Protein Subunits/metabolism* ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; RNA, Messenger ; Guanine Nucleotides ; Gene Expression ; Biomarkers, Tumor/genetics*

PURPOSE: This study aimed to assess the role of thiopurine S-methyltransferase (TPMT) and 6-thioguanine nucleotide (6-TGN) as predictors of clinical response and side effects to azathioprine (AZA), and estimate the optimal AZA dose in Korean pediatric inflammatory bowel disease (IBD) patients. MATERIALS AND METHODS: One hundred and nine pediatric IBD patients in whom AZA treatment was required were enrolled. Thiopurine metabolites were monitored since September 2010. Among them, 83 patients who had prescribed AZA for at least 3 months prior to September 2010 were enrolled and followed until October 2011 to evaluate optimal AZA dose, adverse effects and disease activity before and after thiopurine metabolite monitoring. RESULTS: The result of the TPMT genotype was that 102 patients were *1/*1 (wild type), four were *1/*3C, one was *1/*6, one was *1/*16 (heterozygote) and one was *3C/*3C (homozygote). Adverse effects happened in 31 patients pre-metabolite monitoring and in only nine patients post-metabolite monitoring. AZA dose was 1.4+/-0.31 mg/kg/day before monitoring and 1.1+/-0.46 mg/kg/day after monitoring (p<0.001). However, there were no statistical differences in disease activity during metabolite monitoring period (p=0.34). Adverse effects noticeably decreased although reduction of the AZA dose since monitoring. CONCLUSION: TPMT genotype and thiopurine metabolite monitoring could be helpful to examine TPMT genotypes before administering AZA and to measure 6-TGN concentrations during prescribing AZA in IBD patients.
Adolescent ; Adult ; Azathioprine/*adverse effects/therapeutic use ; Child ; Child, Preschool ; Female ; Genotype ; Guanine Nucleotides/metabolism ; Humans ; Inflammatory Bowel Diseases/*drug therapy/metabolism ; Male ; Methyltransferases/genetics/metabolism ; Republic of Korea ; Risk Factors ; Thionucleotides/metabolism ; Treatment Outcome

We evaluated the anti-HBV effects of nucleotide analogues, Entecavir (ETV) and Lamivudine (LAM) targeting mouse model of HBV persistent infection with recombinant adeno-associated virus 8 carrying 1.3 copies of HBV genome (rAAV8-1.3HBV). Ninety percent (27 of 30 mice) of rAAVS-treated mice were chosen as mouse model. Four groups were orally administrated with different doses of ETV (1 mg/(kgd) or 0.1 mg/(kgd)) and LAM (500 mg/(kgd) or 100 mg/(kgd)) once a day for 10 days. The other two groups were set as normal saline treated and untreated control. We detected the levels of HBV DNA, HBeAg and HBsAg in sera at different time. Results indicate that HBV DNA level decreased significantly (P < 0.05) in drug-treated groups compared with normal saline group after drug administration. Fifteen days after the drug withdrawal, HBV DNA level rebounded back obviously (P < 0.05) in groups with low doses of ETV and LAM. However, there was no apparent change of HBeAg and HBsAg in the whole process among all groups. These results showed that our model could reflect the anti-viral effect of nucleotide analogues. This model can be a useful and convenient tool for anti-HBV drug discovery.
Animals ; Antiviral Agents ; pharmacology ; Dependovirus ; genetics ; metabolism ; Disease Models, Animal ; Genetic Vectors ; Genome, Viral ; Guanine ; analogs & derivatives ; pharmacology ; Hepatitis B Antibodies ; blood ; Hepatitis B virus ; genetics ; physiology ; Hepatitis B, Chronic ; virology ; Lamivudine ; pharmacology ; Mice ; Mice, Inbred C57BL ; Nucleotides ; pharmacology ; Transduction, Genetic ; Virus Replication