The untapped potential of RNA structures

RNA is perhaps best known as the intermediate between genome and protein synthesis: messenger RNA molecules copy the genetic code of a gene in the cell's nucleus and transport it to the cytoplasm, where ribosomes translate the code into a protein. However, RNA is also a key regulator of almost every cellular process and the structures that are adopted by RNA molecules are thought to often be key to their functions.

Function

Danny Incarnato, Assistant Professor of Molecular Genetics, has long been interested in the role of RNA structures in the cell and works on methods to elucidate the different structures in living cells. So, when he was invited to write a review on RNA structures, he accepted without hesitation. 'And I was happy to invite my friend and colleague Robert Spitale, one of the pioneers of the "RNA revolution," to join me.'

In recent years, the knowledge of RNA molecules in the cell has increased dramatically. The ENCODE project revealed the huge number of non-coding RNAs in cells; in human cells, over ten times higher than the number of coding genes. 'Not all of them have a function,' Incarnato stresses. 'But many do, and with regard to their variety, we have barely scratched the surface.'

Drug research

Different types of non-coding RNAs have been known for a long time and it was also clear that their structure could play an important role. An example are riboswitches: RNAs that can respond to changes in the external environment by changing shape, which in turn can affect specific gene activity. 'We also knew that RNA molecules can act as enzymes,' says Incarnato. 'And, of course, ribosomes are RNA structures.' Thus, RNA molecules can act as sensors, catalysts, switches, or scaffolds and affect RNA translation, but can also affect RNA degradation and alternative splicing.

It is, therefore, no surprise that RNAs have rapidly gained momentum in drug research. Yet, our knowledge of the 'structurome' is still very limited. 'So far, we have almost exclusively looked at single structures. But RNA molecules are very dynamic and molecules with the same sequence can take on different shapes,' explains Incarnato. 'Due to the way these structures were determined, they are often averages of all the possible conformations of a single molecule.'

RNA viruses

Incarnato has pioneered methods to uncover the structural heterogeneity of RNA molecules. 'We can combine this with high throughput RNA-sequencing to probe the structural heterogeneity.' In some cases, different structures are just an 'evolutionary by-product', while in other cases they are functional. Incarnato: 'In this way, RNA molecules can regulate practically anything inside a cell and, therefore, play a role in both physiology and pathophysiology.

Although the developments in this field are rapid, they don't proceed in a very orderly manner. Incarnato: 'There is applied pharmaceutical research going on alongside lots of fundamental research.' Interfering with RNAs could be an important way to fight diseases, including those caused by RNA viruses such as SARS-CoV2. 'Yet, we don't have a clue about off-target effects. For small molecules that interfere with specific enzymes, such as kinases, profiling panels are available to evaluate off-target profiles. However, we don't know how many RNAs have similar shapes. We really need a clear map of the RNA structurome.'

Software

Another problem is that in many cases, it is impossible to know which of the different structural versions of a given RNA molecule is responsible for its function or dysfunction. 'And on top of that, RNAs can interact and create complicated regulatory networks. So, we also need a deeper understanding of how this works in cells.'

There is a lot of work still to do. In addition, software is important; computer programs are needed to translate biochemical analyses of RNAs into their different structures. Incarnato: 'In our field, you need to know as much about coding as about high throughput sequencing. All of us are at home both in wet labs and in bioinformatics.'