Project description:This project is about an untargeted metabolomic analysis in samples that come from chronic lung allograft dysfunction disease patients.
Project description:Purpose: To identify a panel of plasma exosomal miRNAs as potential biomarkers for lung cancer from the genome-wide set of currently known human miRNAs. Methods: Plasma samples from 4 lung cancer patients and 4 patients with benign lung disease were collected, and plasma exosomes were extracted by ultracentrifugation. Exosomal miRNA profiles were generated by deep sequencing based on Illumina NextSeq 500 platform. And differentially expressed exosomal miRNAs between lung cancer and benign lung disease were identified by edgeR with the default threshold of |log2 (fold change) | ≥ 1.5 and P-value < 0.05. Results: A total of 983 detectable exosomal miRNAs were analyzed to identify differentially expressed miRNAs between two groups. There were 6 significantly up-regulated miRNAs and 63 significantly down-regulated miRNAs in lung cancer cases when compared with benign lung disease. Conclusion: The comparative analysis of plasma exosomal miRNAs between lung cancer and benign lung diseases provided a reference for exploring potential biomarkers of lung cancer. And the clinical value of candidate exosomal miRNAs needs to be further verified in lung cancer clinical trials.
2025-02-04 | GSE196159 | GEO
Project description:pathogen that causes important lung disease
| PRJNA1266893 | ENA
Project description:Isolation of Burkholderia from lung disease