Identification of biomarkers for the diagnosis and treatment of primary colorectal cancer based on microarray technology
TRANSLATIONAL CANCER RESEARCH
Authors: Zheng, Zhi Gang; Ma, Bao Qing; Xiao, Yu; Wang, Tian Xi; Yu, Tian; Huo, Yu Hu; Wang, Qing Qing; Shan, Meng Jie; Meng, Ling Bing; Han, Jing
Abstract
Background: Primary colorectal cancer (PCRC) is one of the most common malignant tumors in clinic, and is characterized by high heterogeneity occurring between tumors and intracellularly. Therefore, this study aimed to explore potential gene targets for the diagnosis and treatment of PCRC via bioinformatic technology. Methods: Gene Expression Omnibus (GEO) was used to download the data used in this study. Differently expressed genes (DEGs) were identified with GEO2R, and the gene set enrichment analysis (GSEA) was implemented for enrichment analysis. Then, the researchers constructed a protein-protein interaction (PPI) network, a significant module, and a hub genes network. Results: The GSE81558 dataset was downloaded, and a total of 97 DEGs were found. There were 23 upregulated DEGs and 74 down-regulated DEGs in the PCRC samples, compared with the control group. The PPI network included a total of 42 nodes and 63 edges. One module network consisted of 11 nodes and 25 edges. Another module network consisted of 4 nodes and 6 edges. The hub genes network was created by cytoHubba using GCG, GUCA2B, CLCA4, ZG16, TMIGD1, GUCA2A, CHGA, PYY, SST, and MS4A12. Conclusions: Ten hub genes were found from the genomic samples of patients with PCRC and normal controls by bioinformatics analysis. The hub genes might provide novel ideas and evidence for the diagnosis and targeted therapy of PCRC.
The T Cell Repertoire-Diversifying Enzyme TSSP Contributes to Thymic Selection of Diabetogenic CD4 T Cell Specificities Reactive to ChgA and IAPP Autoantigens
JOURNAL OF IMMUNOLOGY
Authors: Viret, Christophe; Mahiddine, Karim; Baker, Rocky Lee; Haskins, Kathryn; Guerder, Sylvie
Abstract
Multiple studies highlighted the overtly self-reactive T cell repertoire in the diabetes-prone NOD mouse. This autoreactivity has primarily been linked to defects in apoptosis induction during central tolerance. Previous studies suggested that thymus-specific serine protease (TSSP), a putative serine protease expressed by cortical thymic epithelial cells and thymic dendritic cells, may edit the repertoire of self-peptides presented by MHC class II molecules and shapes the self-reactive CD4 T cell repertoire. To gain further insight into the role of TSSP in the selection of self-reactive CD4 T cells by endogenous self-Ags, we examined the development of thymocytes expressing distinct diabetogenic TCRs sharing common specificity in a thymic environment lacking TSSP. Using mixed bone marrow chimeras, we evaluated the effect of TSSP deficiency confined to different thymic stromal cells on the differentiation of thymocytes expressing the chromogranin A reactive BDC-2.5 and BDC-10.1 TCRs or the islet amyloid polypeptide reactive TCR BDC-6.9 and BDC-5.2.9. We found that TSSP deficiency resulted in deficient positive selection and induced deletion of the BDC-6.9 and BDC-10.1 TCRs, but it did not affect the differentiation of the BDC-2.5 and BDC-5.2.9 TCRs. Hence, TSSP has a subtle role in the generation of self-peptide ligands directing diabetogenic CD4 T cell development. These results provide additional evidence for TSSP activity as a novel mechanism promoting autoreactive CD4 T cell development/accumulation in the NOD mouse.