PBMC gene differential expression profile analysis in patients with tuberculosis through high-throughput sequencing technologies

Objective:The detection of PBMC expression profile between normal people and tuberculosis patients,and compare the gene expression difference between them using high throughput sequencing technique in order to seek tuberculosis morbidity related gene.Methods: The cDNA library built from the total RNA isolated from the PBMC separated from normal people and patients of tuberculosis were amplified using bridge PCR by fixing on Flow cell through adaptor sequence,and then sequenced using Illumina sequencer.The differential gene expression profile of the two populations was analyzed using bioinformatics methods.Results: 12 270 genes of 36390 distinct tags from tuberculosis samples and 12 244 genes of 35 009 distinct tags from normal samples were obtained from the raw data generated by sequencing after filtering,alignment,and annotation.According to the standard of FDR ≤0.001,|log2 Ratio|≥1,3 097 differential genes were screened with 1 601 up regulated and 1 469 down regulated.33 significant differentially expressed genes with 16 up regulated and 17 down regulated were screened by increasing the standard by 4 fold and controlling the expression level.Conclusion: Most differential genes located in cells act as connecting function(protein junction) with enzyme catalytic activity,played important roles in metabolism,and mainly in MAPK signal pathway as well as chemokine factor signal pathway.These differential genes can be used as references of diagnose markers and drug targets in the area of tuberculosis.