[The Genome-Wide Changes in Expression Profile of CML T Cells After Up-regulation of TCRζ Chain Expression].

OBJECTIVE: To analyze the changes in the gene expression profile of T cells in CML patients after TCRζ up-regulation expression, and to explore the molecular mechanism of T cell reactivation after transgenic up-regulation of TCRζ. METHODS: The peripheral blood mononuclear cells(PBMCs) from 3 newly untreated chronic-stage CML patients were collected, and the CD3+ T cells were obtained by MACS method. The TCRζ-IRES2-EGFP (experimental group) and pIRES2-EGFP (control group) plasmids were transfected into T cells by nuclear transfection technique. The gene expression profiles of CML T cells up-regulated TCRζ chain and control cells were detected by Affymetrix GeneChip Human Gene 2.0 ST Array. The differentially expressed genes were analyzed by GO functional annotation analysis and KEGG pathway enrichment analysis. RESULTS: A total of 2248 differentially-expressed genes were obtained, including 553 up-regulated genes and 1695 down-regulated genes in experimental group as compared with those in control group (P<0.05) . The GO and KEGG enrichment analyses showed that differentially expressed genes involved in the biological processes related to T cell immune function, such as TCR signaling pathway, T cell proliferation and activation. Some of core genes involved in promoting the TCR signaling pathway, T cell proliferation, activation and apoptosis pathways were significantly up-regulated, while some core genes involved in inhibiting T cell activation were significantly down-regulated. CONCLUSION: The molecular mechanism of the significantly improved T cell activation and proliferation ability in CML patients after TCRζ up-regulation may be related to the differential transcripts mediated signaling pathways of T cell activation, proliferation and apoptosis.

Identification and characterisation of cold stress-related proteins in Oryza rufipogon at the seedling stage using label-free quantitative proteomic analysis.

In this study, label-free quantitative proteomics were used to study cold stress-related proteins in Dongxiang wild rice (Oryza rufipogon Griff., DWR) and cold sensitive cultivated rice 'Xieqingzao B'(Oryza sativa L. ssp. indica cv., XB). The results demonstrated the presence of 101 and 216 differentially expressed proteins (DEPs) were detected in DWR and XB, respectively, after cold stress. Bioinformatics analysis showed that DWR and XB differed significantly in their ability to scavenge reactive oxygen species (ROS) and regulate energy metabolism. Of the 101 DEPs of DWR, 46 DEPs related to differential expressed genes were also detected by transcriptome analysis. And 13 out of 101 DEPs were located in previous cold related quantitative trait loci (QTL). Quantitative real-time PCR analysis indicated that protein expression and transcription patterns were not similar in XB and DWR. Protein-protein interaction (PPI) network was constituted using the DEPs of DWR and XB, and the following three centre proteins were identified: Q8H3I3, Q9LDN2, and Q2QXR8. Next, we selected a centre protein and two of the 37 DEPs with high levels of differential expression (fold change ≥ 2) were used for cloning and prokaryotic expression. We found that Q5Z9Q8 could significantly improve the cold tolerance of Escherichia coli.