Characterization of the signal transduction cascade for inflammatory gene expression in fibroblasts with ATM-ATR
Shunji Haruna1, Ken Okuda1, Akiko Shibata2
1Division of Molecular Oncological Pharmacy, Faculty of Pharmacy, Keio University, 1-5-30, Shibakoen, Minato-ku, Tokyo 105-8512, Japan.
Background And Purpose:
Ionizing radiation (IR) induces DNA double-strand breaks (DSBs), leading to micronuclei formation, which has emerged as a key mediator of inflammatory responses after IR. This study aimed to investigate the signaling cascade in inflammatory gene expression using fibroblasts harboring DNA damage response deficiency after exposure to IR.
Materials And Methods:
Micronuclei formation was examined in human dermal fibroblasts derived from patients with deficiencies in ATM, ATR, MRE11, XLF, Artemis, or BRCA2 after IR. RNA-sequencing analysis was performed to assess gene expression, pathway mapping, and the balance of transcriptional activity using the transcription factor-based downstream gene expression mapping (TDEM) method developed in this study.
Results:
Deficiencies in ATM, ATR, or MRE11 led to increased micronuclei formation after IR compared to normal cells. RNA-seq analysis revealed significant upregulation of inflammatory expression in cells deficient in ATM, ATR, or MRE11 following IR. Pathway mapping analysis identified the upregulation of RIG-I, MDA-5, IRF7, IL6, and interferon stimulated gene expression after IR. These changes were pronounced in cells deficient in ATM, ATR, or MRE11. TDEM analysis suggested the differential activation of STAT1/3-pathway between ATM and ATR deficiency.
Conclusion:
Enhanced micronuclei formation upon ATM, ATR, or MRE11 deficiency activated the cGAS/STING, RIG-I-MDA-5-IRF7-IL6 pathway, resulting in its downstream interferon stimulated gene expression following exposure to IR. Our study provides comprehensive information regarding the status of inflammation-related gene expression under DSB repair deficiency after IR. The generated dataset may be useful in developing functional biomarkers to accurately identify patients sensitive to radiotherapy.
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