SRP199030 PRJNA543959 High-throughput Sequencing Analysis of Long Noncoding RNAs and Message RNAs in Lungs of COPD Rat Model Chronic Obstructive Pulmonary Disease (COPD) is a preventable and treatable disease; however, under-diagnose of COPD is widespread worldwide in the GOLD. Long noncoding RNAs(lncRNAs), which were ever treated as “junk”, have shown an important role of the potential biomarker in lots of diseases. Based on the High-throughput Sequencing technology and bioinformatic methods, large-scale dysregulated mRNAs and lncRNAs, including 578 up-regulation mRNAs, 209 down-regulation mRNAs, 487 up-regulation lncRNAs, and 400 down-regulation lncRNAs, were detected in lung tissues of COPD rat model. And some significant differences in mRNAs and lncRNAs expressions involved in nutrition metabolism, inflammation, etc. were found via Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment analysis. Furtherly, the expressions of two pairs lncRNA-mRNAs with Kcnn4-NONRATT000458.2 and NONRATT021847.2-Lag3 were observed by RT-qPCR to validate the consistency with the results of sequencing. In conclusion, we firstly generalized the dysregulated lncRNAs and mRNAs in lungs of COPD rat model, and screened out the potential lncRNAs and mRNAs biomarkers of COPD. Importantly, these altered lncRNAs and mRNAs might implicate with nutrition metabolism, inflammation, etc. to involve in the process of COPD and are the potential biomarkers of COPD.