Novel computational analysis of large transcriptome datasets identifies sets of genes distinguishing chronic obstructive pulmonary disease from healthy lung samples

• Published in: Scientific reports Vol. 11; no. 1; pp. 10258 - 13
• Main Authors: Roessler, Fabienne K., Benedikter, Birke J., Schmeck, Bernd, Bar, Nadav
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 13.05.2021; Nature Publishing Group; Nature Portfolio
• Subjects: 631/114; 631/1647/2017/2079; 631/1647/48; 692/699/1785/4037; Chronic obstructive pulmonary disease; Computer applications; Epithelium; Gene expression; Humanities and Social Sciences; Lung diseases; Molecular modelling; multidisciplinary; Obstructive lung disease; Science; Science (multidisciplinary); Transcriptomes

Chronic obstructive pulmonary disease (COPD) kills over three million people worldwide every year. Despite its high global impact, the knowledge about the underlying molecular mechanisms is still limited. In this study, we aimed to extend the available knowledge by identifying a small set of COPD-as...