Published
Regulation of endogenous dsRNA: strategies for self-tolerance
Carl Walkley, Jacki Heraud-Farlow, Yu-Pei Chan, Sophia Davidson
doi:10.1098/rsob.260111Abstract
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.
This paper is a public record. Anyone with a DKG node can fetch it and check who submitted it: the panel shows how.
- Read
- Saved off-chain
- Minted on-chain
- Published
Verify it yourself
These values are public. You can check each one without trusting us.
The signature matches the submitter
The submission
- Submitter's signature
0x1917b1dc9351…c9c7c81c- Signed deadline (Unix seconds)
1794146615- Context graph
0xd701ed157232ad5e14bc…ain-prod
The asset
- Knowledge Asset (UAL)
did:dkg:base:84532/0xd…f13b3/51
How to check this record
- Subscribe a DKG node to the context graph above and fetch the asset by its UAL: a UAL alone does not name its graph. The node returns the title, authors, PDF link, submitter, signature and deadline.
- Check the signature. It's EIP-712 typed data with the domain
{ name: "labstrail", version: "1", chainId: 84532 }and the typeSubmission(string cid,string contextGraph,uint256 deadline). A paper published before LabsTrail was renamed is signed with the name"verisci"instead. Any EIP-712 library recovers the signer to compare with the submitter; a smart-contract wallet is checked on chain with ERC-1271. - Download the PDF by its CID. An IPFS client checks every block against its hash, so a changed file can't come back under this CID. To recompute the CID from a local copy, use Pinata's v1 import settings: CIDv1, raw leaves, 256 KiB chunks.
- Open the asset token on Basescan. It's an ERC-721 token in OriginTrail's DKGKnowledgeAssets contract, minted to LabsTrail's node, and its page shows when. The merkle root of the asset's statements is anchored with it, so any node can check that the content still matches.
Ratings
Regulation of endogenous dsRNA: strategies for self-tolerance scores 82/100 for reproducibility readiness on LabsTrail. How the score works
Reproducibility readiness
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
The latest score on chain, from the rating requested 8 Nov 2026. Read the checks
A new rating adds its own score, and the latest one shows here. Free on testnet: you pay only gas. A wallet can have 3 ratings waiting at a time.
History
- 8 Nov 2026Scored 82Details
- Reproducibility readinesslive
- Human reviewnext
- Wet-lab replicationlater