EMBL images single‑molecule RNA folding
- EMBL-linked researchers reported real-time single-molecule measurements of nascent RNA folding, showing how individual RNA molecules form structures as they emerge during transcription. (science.org) - The Science Advances study functionally classified up to eight RNA molecule types and showed proteins, enzymes, and antisense oligos reshape only subsets of folding states. (science.org) - That matters because RNA folding usually gets averaged away; seeing transient paths molecule by molecule could sharpen RNA biology and therapeutic design. (science.org)
RNA folding sounds abstract, but it is basically the moment an RNA strand decides what kind of machine it will become. Shape is function here. If the strand folds the wrong way, it can stall, misfi(science.org)BL have now shown this process in real time at the single-molecule level, so instead of inferring an average path from a crowd of RNAs, they can watch individual molecules take different routes as structure forms. (science.org) ### What exactly did they watch? They watched nascent RNA — RNA that is still being made by RNA polymerase — fold as i(science.org)at let them follow structure formation in real time and connect different folding states to what the RNA could actually do next. The work came from Olivier Duss’s EMBL group and appeared in *Science Advances* in 2026. (science.org) ### Why is single-molecule the big deal? Because averages hide detours. In a bulk experiment, thousands or millions of RNA molecules get blended into one smooth-looking signal. But real molecules do not(science.org) catch rare intermediates, misfolded branches, and short-lived states that ensemble methods tend to wash out. That is exactly why this approach matters for RNA folding. (science.org) ### What did the new assay add? The clever part is that it did not just say “this RNA changed shape.” It linked shape changes to function across up to eight different (science.org) show up — ribosomal proteins, RNA-modifying enzymes, or antisense oligonucleotides — and see that those factors do not reshape the whole folding landscape evenly. They push on specific subsets of conformations. (science.org) ### Why does that matter biologically? Cells do not wait for RNA to finish before interacting with it. Proteins bind while the strand is still emerging. Enzyme(science.org)like snapping a finished paper crane into shape and more like trying to fold one while other hands keep touching the paper. Watching the process as it happens gets much closer to the real biological problem. (science.org) ### Did they find anything concrete? Yes — one example gave direct evidence that increased local RNA accessibility correlates with the chaperoning activity of ribosomal pr(science.org)uild the ribosome seem to keep certain RNA regions more open at the right moments, steering the molecule away from bad outcomes and toward productive assembly. (science.org) ### How does this connect to the “molecular movie” idea? There are really two related EMBL-linked stories here. One is this fluorescence-based 2026 work on nascent RNA folding in real time. The other is a 20(science.org)ral movie of a self-splicing ribozyme folding into its active form using cryo-EM, SAXS, biochemistry, and simulations. Different methods, same broader payoff — replacing static snapshots and population averages with actual folding pathways. (embl.org) ### So what does this unlock? Better mechanistic contr(science.org)molecules that stabilize a useful fold or block a harmful one. That is relevant for antisense drugs, RNA-targeting therapeutics, and basic questions like how ribosomes and other RNA machines assemble without getting trapped in dead-end shapes. (science.org) ### Bottom line? RNA does not fold along one clean script. It explores options, gets nudged by partners, and sometimes goes wrong. What this EMBL-linked work changes is visibility — scientists can now wat(embl.org)hiding. (science.org)
