Objective:The aim of this study was to investigate the inhibitory effect of apogossypolone (ApoG2) on subcutaneous implants of human LNCaP prostatic carcinoma cells, and explore its mechanism. Methods:To establish hum...Objective:The aim of this study was to investigate the inhibitory effect of apogossypolone (ApoG2) on subcutaneous implants of human LNCaP prostatic carcinoma cells, and explore its mechanism. Methods:To establish human LNCaP prostatic carcinoma cell line subcutaneous xenograft models and observe the inhibitory effect of ApoG2 on the tumor model. Immunohistochemistry was employed to observe the expression of Bcl-2, PCNA, CD31, caspase-3 and-8 in tumor tissues. The microvessel density was calculated. Results:ApoG2 could obviously inhibit the growth of subcutaneous prostatic carcinoma implant. ApoG2 decreased the expression of PCNA and CD31, and increased the expression of caspases-3,-8 in tumor tissues. Conclusion:ApoG2 has an inhibitory effect on prostatic carcinoma implants.展开更多
Autoimmune diseases （ADs） arise from an abnormal immune response of the body against substances and tissues normally present in the body. More than a hundred of ADs have been described in the literature so far. Alth...Autoimmune diseases （ADs） arise from an abnormal immune response of the body against substances and tissues normally present in the body. More than a hundred of ADs have been described in the literature so far. Although their etiology remains largely unclear, various types of ADs tend to share more associated genes with other types of ADs than with non-AD types. Here we present GAAD, a gene and AD association database. In GAAD, we collected 44,762 associations between 49 ADs and 4249 genes from public databases and MEDLINE documents. We manually verified the associations to ensure the quality and credibility. We reconstructed and recapitulated the relationships among ADs using their shared genes, which further validated the quality of our data. We also provided a list of significantly co-occurring gene pairs among ADs;with embedded tools, users can query gene co-occurrences and construct customized cooccurrence network with genes of interest. To make GAAD more straightforward to experimental biologists and medical scientists, we extracted additional information describing the associations through text mining, including the putative diagnostic value of the associations, type and position of gene polymorphisms, expression changes of implicated genes, as well as the phenotypical consequences, and grouped the associations accordingly. GAAD is freely available at http：//gaad.medgenius.info.展开更多
文摘Objective:The aim of this study was to investigate the inhibitory effect of apogossypolone (ApoG2) on subcutaneous implants of human LNCaP prostatic carcinoma cells, and explore its mechanism. Methods:To establish human LNCaP prostatic carcinoma cell line subcutaneous xenograft models and observe the inhibitory effect of ApoG2 on the tumor model. Immunohistochemistry was employed to observe the expression of Bcl-2, PCNA, CD31, caspase-3 and-8 in tumor tissues. The microvessel density was calculated. Results:ApoG2 could obviously inhibit the growth of subcutaneous prostatic carcinoma implant. ApoG2 decreased the expression of PCNA and CD31, and increased the expression of caspases-3,-8 in tumor tissues. Conclusion:ApoG2 has an inhibitory effect on prostatic carcinoma implants.
文摘Autoimmune diseases （ADs） arise from an abnormal immune response of the body against substances and tissues normally present in the body. More than a hundred of ADs have been described in the literature so far. Although their etiology remains largely unclear, various types of ADs tend to share more associated genes with other types of ADs than with non-AD types. Here we present GAAD, a gene and AD association database. In GAAD, we collected 44,762 associations between 49 ADs and 4249 genes from public databases and MEDLINE documents. We manually verified the associations to ensure the quality and credibility. We reconstructed and recapitulated the relationships among ADs using their shared genes, which further validated the quality of our data. We also provided a list of significantly co-occurring gene pairs among ADs;with embedded tools, users can query gene co-occurrences and construct customized cooccurrence network with genes of interest. To make GAAD more straightforward to experimental biologists and medical scientists, we extracted additional information describing the associations through text mining, including the putative diagnostic value of the associations, type and position of gene polymorphisms, expression changes of implicated genes, as well as the phenotypical consequences, and grouped the associations accordingly. GAAD is freely available at http：//gaad.medgenius.info.
