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Regulation of endogenous dsRNA: strategies for self-tolerance

Carl Walkley, Jacki Heraud-Farlow, Yu-Pei Chan, Sophia Davidson

doi:10.1098/rsob.260111

Abstract

Cells must continuously distinguish cellular-derived RNA from pathogenic RNA to mount effective antiviral responses while avoiding harmful autoinflammation. Cytoplasmic RNA-sensing receptors, including RIG-I-like receptors, PKR, OAS-RNase L and ZBP1, detect RNA primarily through molecular features such as structure (double-versus single-stranded), modification state and subcellular localization rather than sequence. While these are characteristics of viral nucleic acids, mammalian genomes generate abundant self-derived double-stranded RNA (dsRNA), including from transposable elements, antisense transcription and RNA processing intermediates, which exist in the cytoplasm. This review describes our current understanding of how cells achieve self-tolerance through the active regulation of endogenous RNA. These mechanisms comprise epigenetic silencing of repetitive elements, RNA modifications (such as A-to-I editing and m 6 A), precise splicing, regulated nuclear export and decay, circRNA buffering, protein shielding and dedicated RNA degradation pathways. Insights from rare inherited monogenic interferonopathies and murine models illustrate how perturbations in these pathways lead to inappropriate activation of cytoplasmic RNA sensors and inflammatory disease when cellular dsRNA is mistakenly recognized as non-self. We highlight how dysregulated dsRNA homeostasis contributes to common autoimmune and neuroinflammatory disorders. Understanding how cells regulate endogenous dsRNA is crucial for defining disease mechanisms and developing new therapeutic strategies.

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Regulation of endogenous dsRNA: strategies for self-tolerance scores 82/100 for reproducibility readiness on LabsTrail. How the score works

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How completely the paper reports what others need to repeat its work, from 0 to 100, checked against the reporting checklist for each kind of study in it. It doesn't say whether the findings are right.

82/ 100

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History

  1. 8 Nov 2026Scored 82Details
  1. Reproducibility readinesslive
  2. Human reviewnext
  3. Wet-lab replicationlater