Abstract:
:Network-based molecular modeling of physiological behaviors has proven invaluable in the study of complex diseases such as cancer, but these approaches remain largely untested in contexts involving interacting tissues such as autoimmunity. Here, using Alopecia Areata (AA) as a model, we have adapted regulatory network analysis to specifically isolate physiological behaviors in the skin that contribute to the recruitment of immune cells in autoimmune disease. We use context-specific regulatory networks to deconvolve and identify skin-specific regulatory modules with IKZF1 and DLX4 as master regulators (MRs). These MRs are sufficient to induce AA-like molecular states in vitro in three cultured cell lines, resulting in induced NKG2D-dependent cytotoxicity. This work demonstrates the feasibility of a network-based approach for compartmentalizing and targeting molecular behaviors contributing to interactions between tissues in autoimmune disease.
journal_name
Cell Systjournal_title
Cell systemsauthors
Chen JC,Cerise JE,Jabbari A,Clynes R,Christiano AMdoi
10.1016/j.cels.2015.11.001subject
Has Abstractpub_date
2015-11-25 00:00:00pages
326-337issue
5eissn
2405-4712issn
2405-4720pii
S2405-4712(15)00187-8journal_volume
1pub_type
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