Study maps RNA shape-shifting mechanisms in human and bacterial cells

Apart from carrying the information to encode proteins in, RNA molecules can adopt intricate 2D and 3D structures. Specifically, the same RNA molecule can switch between ON and OFF structures, modulating the ability of ribosomes to bind to the RNA and translate it into proteins. A new study, led by University of Groningen molecular biologist Danny Incarnato and authored by postdoctoral researcher Dr Ivana Borovska, identifies hundreds of such regulatory RNA switches in E.coli bacteria and human cells. It was published in Nature Biotechnology on 25 July.

Several years ago, Incarnato developed a method to map the alternative shapes adopted by RNA molecules in living cells. Using this method, he identified regions of RNA capable of shapeshifting between two different structures, each with its own effect. Incarnato: 'The ability of RNA to switch between alternative structures usually implies some sort of regulation, similar to an ON-OFF switch.'

Incarnato's team has now used this method to study the complexity of RNA structures in living cells. Moreover, they developed a new tool that leverages evolutionary information to identify functional RNA structural switches with high accuracy. They used the tool to uncover hundreds of them. One example is a switch that reacts to temperature and helps bacteria to respond to cold stress. Incarnato: 'Identifying a significant number of switches is a first step. The next step is to find ways to influence their functioning.' For example, small molecules could be designed to modulate these switches, which could ultimately lead to new treatments for diseases.

The current research, which has taken more than three years to complete, builds on some six years of fundamental research into the detection of 2D RNA shapes. Incarnato: 'This is revolutionary, something the whole field has been seeking for years.'

Source:
Journal reference:

Borovská, I., et al. (2025). Identification of conserved RNA regulatory switches in living cells using RNA secondary structure ensemble mapping and covariation analysis. Nature Biotechnology. doi.org/10.1038/s41587-025-02739-0.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Microbial signals rewire immunity in esophageal squamous cell carcinoma