Gene Expression Profiling Based on High-Throughput Sequencing Technology and Its Application in Disease Diagnosis

Abstract

Pulmonary tuberculosis tends to co-occur with other diseases, leading to the emergence of drug-resistant strains of Mycobacterium tuberculosis, which complicates the identification and treatment of pulmonary tuberculosis. The limitations of previous methods have become increasingly evident. Therefore, based on high-throughput sequencing technology, this study aims to screen for diagnostic marker genes by comparing the differences in PBMC expression profiles between pulmonary tuberculosis patients and healthy individuals. During the research process, PBMCs were first isolated from samples, total RNA was extracted, and cDNA libraries were prepared for bridge PCR amplification. Subsequently, deep sequencing was performed using an Illumina Genome Analyzer IIx sequencer to determine the read counts of target genes, calibrate sequence tags for high-throughput sequencing data, screen for differentially expressed genes of PTB and HC with higher expression levels, and make diagnoses based on the condition.