Journal
BIOCHIMICA ET BIOPHYSICA ACTA-GENERAL SUBJECTS
Volume 1866, Issue 3, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.bbagen.2021.130058
Keywords
STAT family of proteins; Disease-linked mutations; JAK-STAT role in cancer; Structure-function relationship; Post-translation modifications; Protein interaction interfaces
Categories
Funding
- NSERC [RGPIN-201405767]
- CIHR [MOP-130424, MOP-137036]
- Canada Research Chair [950-232042]
- Canadian Cancer Society [703963]
- Canadian Breast Cancer Foundation [705456]
- CFI [33536]
- Ontario Research Fund [34876]
- EU consortia ERAPerMed 'JAKSTAT-TARGET'
- ERANETPLL
- European Research Council (M-IMM project)
- Academy of Finland
- Sigrid Juselius Foundation
- Cancer Foundation Finland
- Austrian Science Fund (FWF) [SFB-F04707, SFB-F06105, F4704-B20]
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This article utilizes structural data to examine how variations in structure, post-translational modifications, and cancer genome mutations affect the specific activities of the STAT family of transcription factors. The study finds that hyper-activated STATs and their variants are associated with multiple diseases and suggest potential oncology targeting strategies.
Background: The STAT family of transcription factors control gene expression in response to signals from various stimulus. They display functions in diseases ranging from autoimmunity and chronic inflammatory disease to cancer and infectious disease.Scope of review: This work uses an approach informed by structural data to explore how domain-specific structural variations, post-translational modifications, and the cancer genome mutational landscape dictate STAT member-specific activities.Major conclusions: We illustrated the structure-function relationship of STAT proteins and highlighted their effect on member-specific activity. We correlated disease-linked STAT mutations to the structure and cancer genome mutational landscape and proposed rational drug targeting approaches of oncogenic STAT pathway addiction. General significance: Hyper-activated STATs and their variants are associated with multiple diseases and are considered high value oncology targets. A full understanding of the molecular basis of member-specific STATmediated signaling and the strategies to selectively target them requires examination of the difference in their structures and sequences.
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