Since double-stranded RNA (dsRNA) is effective for silencing a wide variety of genes, all genes are typically considered equivalent targets for such RNA interference (RNAi). Yet, loss of some regulators of RNAi in the nematodeCaenorhabditis eleganscan selectively impair the silencing of some genes. Here, we show that such selective requirements can be explained by an intersecting network of regulators acting on genes with differences in their RNA metabolism. In this network, the Maelstrom domain-containing protein RDE-10, the intrinsically disordered protein MUT-16, and the Argonaute protein NRDE-3 work together so that any two are required for silencing one somatic gene, but each is singly required for silencing another somatic gene, where only the requirement for NRDE-3 can be overcome by enhanced dsRNA processing. Quantitative models and their exploratory simulations led us to find that (1) changingcis-regulatory elements of the target gene can reduce the dependence on NRDE-3, (2) animals can recover from silencing in non-dividing cells, and (3) cleavage and tailing of mRNAs with UG dinucleotides, which makes them templates for amplifying small RNAs, are enriched within ‘pUG zones’ matching the dsRNA. Similar crosstalk between pathways and restricted amplification could result in apparently selective silencing by endogenous RNAs.
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Selecting genes for analysis using historically contingent progress: from RNA changes to protein-protein interactions
SUMMARY Progress in biology has generated numerous lists of genes that share some property. But, advancing from these lists of genes to understanding their roles is slow and unsystematic. Here we use RNA silencing inC. elegansto illustrate an approach for prioritizing genes for detailed study given limited resources. The partially subjective relationships between genes forged by both deduced functional relatedness and biased progress in the field was captured as mutual information and used to cluster genes that were frequently identified yet remain understudied. Studied genes in these clusters suggest regulatory links connecting RNA silencing with other processes like the cell cycle. Many proteins encoded by the understudied genes are predicted to physically interact with known regulators of RNA silencing. These predicted influencers of RNA-regulated expression could be used for feedback regulation, which is essential for the homeostasis observed in all living systems. Thus, among the gene products altered when a process is perturbed are regulators of that process, providing a way to use RNA sequencing to identify candidate protein-protein interactions. Together, the analysis of perturbed transcripts and potential interactions of the proteins they encode could help prioritize candidate regulators of any process.
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- Award ID(s):
- 2120895
- PAR ID:
- 10541970
- Publisher / Repository:
- bioRxiv
- Date Published:
- Format(s):
- Medium: X
- Institution:
- bioRxiv
- Sponsoring Org:
- National Science Foundation
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