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Title:

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

Document type:
Article; Journal Article; Research Support, Non-U.S. Gov't
Author(s):
Federico, Antonio; Pavel, Alisa; Möbus, Lena; McKean, David; Del Giudice, Giusy; Fortino, Vittorio; Niehues, Hanna; Rastrick, Joe; Eyerich, Kilian; Eyerich, Stefanie; van den Bogaard, Ellen; Smith, Catherine; Weidinger, Stephan; de Rinaldis, Emanuele; Greco, Dario
Abstract:
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 lesio...     »
Journal title abbreviation:
Hum Genomics
Year:
2022
Journal volume:
16
Journal issue:
1
Fulltext / DOI:
doi:10.1186/s40246-022-00431-x
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/36437479
Print-ISSN:
1473-9542
TUM Institution:
Lehrstuhl für Molekulare Allergologie und Umweltforschung (Prof. Schmidt-Weber)
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