Effect of smoking on the microRNAs expression in pneumoconiosis patients / 中华劳动卫生职业病杂志

<p><b>OBJECTIVE</b>To investigate the effect of smoking on the microRNAs (miRNAs) expression in pneumoconiosis patients.</p><p><b>METHODS</b>Real-time qPCR was used to measure the expression levels of miR-21, miR-200c, miR-16, miR-204, miR-206, miR-155, let-7g, miR-30b, and miR-192 in 36 non-smoking patients with pneumoconiosis and 38 smoking patients with pneumoconiosis, and the differences in expression levels between the two groups were evaluated by two-independent samples t-test.</p><p><b>RESULTS</b>The expression of miR-192 in serum showed a significant difference between non-smoking and smoking pneumoconiosis patients (P < 0.05), and it decreased gradually in smoking patients with stage I and II pneumoconiosis. In the serum of all pneumoconiosis patients, the expression level of miR-16 was the highest, while the expression level of miR-204 was the lowest.</p><p><b>CONCLUSION</b>Pneumoconiosis patients have differential expression of miRNAs in serum, and smoking has an effect on the miRNAs expression in pneumoconiosis patients.</p>

Recent applications of Hidden Markov Models in computational biology / 基因组蛋白质组与生物信息学报·英文版

This paper examines recent developments and applications of Hidden Markov Models (HMMs) to various problems in computational biology, including multiple sequence alignment, homology detection, protein sequences classification, and genomic annotation.