bioRxiv · 10.1101/2020.07.25.221309
Identifying hidden drivers of heterogeneous inflammatory diseases
Abstract
Chronic inflammatory diseases are characterized by complex interactions between genetic predisposition and tissue-specific immune responses. This heterogeneity complicates diagnoses and the ability to exploit omics approaches to improve disease management, develop more effective therapeutics, and apply precision medicine. Using skin inflammation as a model, we developed a method that integrates deep clinical phenotyping information (phenomics) with transcriptome data of lesional and non-lesional skin (564 samples) to identify clinically-relevant gene signatures. It led us to discover so-far unexplored factors, including CCAAT Enhancer-Binding Protein Beta (CEBPB) in neutrophil invasion, and Pituitary Tumor-Transforming 2 (PTTG2) in the pathogenic epithelial response to inflammation. These factors were validated using genetically-modified human skin equivalents, migration assays, and in situ imaging. Thus, by meaningful integration of deep clinical phenotyping and omics data we reveal hidden drivers of clinically-relevant biological processes.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Garzorz-Stark, N., Batra, R., Lauffer, F., Jargosch, M., Pilz, C., Roenneberg, S., Schaebitz, A., Boehner, A., Seiringer, P., Thomas, J., Fereydouni, B., Tsoi, L. C., Gudjonsson, J. E., Theis, F. F., Biedermann, T., Schmidt-Weber, C. B., Mueller, N., Eyerich, S., Eyerich, K.. 2020-07-26. Identifying hidden drivers of heterogeneous inflammatory diseases. https://doi.org/10.1101/2020.07.25.221309
Cite the original work for its findings. Save a collection to share your selection of sources.