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Results for “RNA-RNA interactions”

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PubMed2024

Alpha- and betacoronavirus cis-acting RNA elements.

Coronaviruses have exceptionally large RNA genomes and employ multiprotein replication/transcription complexes to orchestrate specific steps of viral RNA genome replication and expression. Most of these processes involve viral cis-acting RNA elements that are engaged in vital RNA-RNA and/or RNA-protein interactions. Over the past years, a large number of studies provided interesting new insight into the structures and, to a lesser extent, functions of specific RNA elements for representative coronaviruses, and there is evidence to suggest that (a majority of) these RNA elements are conserved across genetically divergent coronavirus genera. It is becoming increasingly clear that at least some of these elements do not function in isolation but operate through complex and highly dynamic RNA-RNA interactions. This article reviews structural and functional aspects of cis-acting RNA elements conserved in alpha- and betacoronavirus 5'- and 3'-terminal genome regions, focusing on their critical roles in viral RNA synthesis and gene expression.

RNA, Viral↗

PubMed2026

hnRNPK condensates facilitate enhancer-promoter looping and RNA polymerase II recruitment.

Enhancer RNAs interact with promoter-derived RNAs to dictate enhancer-promoter looping, but the RNA-binding protein that mediates this process has remained unidentified. Here we identify hnRNPK as a general structural regulator that preferentially binds to nascent RNAs transcribed from enhancer and promoter regions, promoting enhancer-promoter looping and transcriptional activation. We further show that hnRNPK forms phase-separated, cavity-containing condensates that encapsulate RNA polymerase II (Pol II) via its RPB3 subunit, facilitating chromatin looping and potentially enabling recruitment of Pol II from enhancers to promoters through protein dimerization. Notably, a mutation associated with Au-Kline syndrome in hnRNPK (c.953+1dupG) alters its condensates from a liquid-like to a gel-like state, leading to developmental defects in knock-in mice. Fibroblasts derived from these mutants display reduced enhancer-promoter looping and decreased Pol II recruitment at promoters of key developmental genes. These findings suggest that hnRNPK is a structural regulator of enhancer-promoter communication and highlight the importance of RNA-RNA interactions mediated by RNA-binding proteins in transcriptional regulation.

RNA Polymerase II↗

PubMed2025

RNA-RNA interactions coordinate GABA metabolism and signaling.

Production, signaling, and degradation of the inhibitory neurotransmitter GABA requires tight regulation for proper nervous system function, yet the gene regulatory mechanisms underlying this control remain poorly understood. Here, we identify a post-transcriptional mechanism that coordinates expression of the GABA synthetase Gad1 with its vesicular transporter VGAT in Drosophila. While Gad1 is transcribed specifically in GABAergic neurons, VGAT mRNA is transcribed broadly across the nervous system, but is selectively translated in GABAergic neurons. We show that this specificity depends on CG14989, a putative long non-coding RNA located adjacent to the Gad1 gene locus that shares its GABAergic expression pattern. CG14989 RNA contains sequences complementary to three predicted miR-7 sites in the VGAT 3'UTR, and ectopic expression experiments revealed that it is sufficient for VGAT translation in non-GABAergic neurons, consistent with antagonism of miR-7-mediated repression. Furthermore, complementary regions to CG14989 are present in multiple other genes related to metabolism and signaling of GABA, suggesting a broader role for this mechanism. Together, our findings suggest that CG14989 functions as a regulatory hub that coordinates the molecular identity of GABAergic neurons.

Journal Article↗

PubMed2025

Transcriptome-wide analysis reveals sequence selection to avoid mRNA aggregation in E. coli.

The stability of RNA base pairing and its limited four-letter code create an intrinsic potential for promiscuous RNA-RNA interactions. In vitro, such interactions drive RNA to self-assemble into aggregates. This raises a fundamental unanswered question: within a confined cellular volume at physiological mRNA abundances, how much aggregation would arise from sequence-encoded chemistry alone? Here, we establish this baseline with large-scale kinetic simulations of the E. coli transcriptome. Our simulations reveal that sequence-encoded base-pairing energetics is sufficient to generate a dynamic network of large aggregates, organized by long, multivalent mRNA hubs. Strikingly, evolutionary analysis shows that native E. coli sequences exhibit clear signatures of selection to counteract this propensity: they fold more stably, minimize unstructured regions, and form weaker intermolecular contacts than dinucleotide-preserving controls. These findings demonstrate that maintaining transcriptome solubility has been a significant, previously unrecognized constraint shaping genome evolution, and provide a new lens to interpret cellular RNA management.

Biological Sciences (Biophysics and Computational ↗