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Federico, A.* ; Pavel, A.* ; Möbus, L.* ; McKean, D.* ; Del Giudice, G.* ; Fortino, V.* ; Niehues, H.* ; Rastrick, J.* ; Eyerich, K.* ; Eyerich, S. ; van den Bogaard, E.H.* ; Smith, C.* ; Weidinger, S.* ; de Rinaldis, E.* ; Greco, D.*

The integration of large-scale public data and network analysis uncovers molecular characteristics of psoriasis.

Hum. Genomics 16:62 (2022)
Publ. Version/Full Text Research data DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
In recent years, a growing interest in the characterization of the molecular basis of psoriasis has been observed. However, despite the availability of a large amount of molecular data, many pathogenic mechanisms of psoriasis are still poorly understood. In this study, we performed an integrated analysis of 23 public transcriptomic datasets encompassing both lesional and uninvolved skin samples from psoriasis patients. We defined comprehensive gene co-expression network models of psoriatic lesions and uninvolved skin. Moreover, we curated and exploited a wide range of functional information from multiple public sources in order to systematically annotate the inferred networks. The integrated analysis of transcriptomics data and co-expression networks highlighted genes that are frequently dysregulated and show aberrant patterns of connectivity in the psoriatic lesion compared with the unaffected skin. Our approach allowed us to also identify plausible, previously unknown, actors in the expression of the psoriasis phenotype. Finally, we characterized communities of co-expressed genes associated with relevant molecular functions and expression signatures of specific immune cell types associated with the psoriasis lesion. Overall, integrating experimental driven results with curated functional information from public repositories represents an efficient approach to empower knowledge generation about psoriasis and may be applicable to other complex diseases.
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Biomarkers ; Druggability ; Network Analysis ; Psoriasis ; Public Data ; Transcriptomics
ISSN (print) / ISBN 1473-9542
e-ISSN 1479-7364
Journal Human genomics
Quellenangaben Volume: 16, Issue: 1, Pages: , Article Number: 62 Supplement: ,
Publisher Stewart
Publishing Place London
Non-patent literature Publications
Reviewing status Peer reviewed
Grants International AIDS Society
Academy of Finland
European Research Council
Tampere Institute for Advanced Studies
EU IMI2