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W.M. Keck Foundation Awards $1.2 Million to transform understanding of RNA splicing

Asst. Prof. Yang Li will collaborate with scientists from the University of Kansas to use deep learning to find genes that respond to drugs that target RNA splicing.

The W.M. Keck Foundation has awarded a $1.2 million grant to medicinal chemistry and computational biology researchers at the University of Kansas and the University of Chicago focused on addressing a long-unresolved problem in biomedical research—finding molecules able to target the “undruggable proteome.”

 KU School of Pharmacy Assistant Professor of Medicinal Chemistry Jingxin Wang applied for and received the Keck funding jointly with University of Chicago Assistant Professor of Medicine and Human Genetics, Yang Li.   Using a type of molecule called RNA splicing modulators coupled with deep learning models, their research holds promise to be a game-changer in drug development and disease research. The pair of researchers and their lab colleagues are working to identify human genes, and particularly, sequences among those genes, that will respond to drug therapies that target an essential biological process in humans called RNA splicing. It could open the door to successful new disease therapies and cures.

“Approximately 70 percent of the proteome (the entire set of proteins in certain human tissues) cannot be targeted by a drug,” explained Wang. “This is alarming because we sometimes know how disease happens, but we don't have any method to treat the disease. This is basically the undruggable proteome problem in medicinal chemistry.”

Wang’s and Li’s research seeks to address the undruggable problem. Recently, several RNA splicing modulators have been approved by the Food and Drug Administration (FDA) for the life-saving treatment of previously untreatable spinal muscular atrophy and Duchenne muscular dystrophy.

“If we can precisely map where we can target RNA splicing, then researchers can focus on those genes and RNA sequences for drug development,” said Wang. “After systematic investigation, we will have a comprehensive map of splicing regulatory sequences for the whole human genome, and this will be a very valuable resource, not only for us but for the entire research community.”

The biochemical process in human cell development and replication is a complex system at the molecular level. Genes are encoded in DNA (deoxyribonucleic acid), which is almost identical in all human cells. DNA passes on the genetic information to RNA (ribonucleic acid) in a process called transcription. Then, RNA translates the encoded genetic information to protein in our cells. The proteins usually act as final “executors” that perform or regulate most cell functions.

Wang’s lab is focusing on RNA splicing, an essential biological process in humans that happens before the final RNA instructions are delivered to the protein. The processes of transcription, splicing and translation work together to dictate the amount and composition of proteins, which are drastically different among different tissues or cell states of health, development, disease and defense.

Wang’s lab at KU has an ambitious plan to focus on a subset of 100 genes to systematically identify the splicing regulatory sequence using chemical probes. To develop a map of druggable genes, Wang and Li propose taking the data from those experiments to train a deep learning model. Li’s lab at the University of Chicago will use machine learning to analyze and predict which of the 20,000 human genes are likely to respond to drugs that target RNA splicing.

“It’s quite a challenge to sift through that much data to identify which genes could be good targets,” Li said. “We are fortunate for this opportunity to collaborate with our partners to develop new computational approaches to study how targeting RNA splicing can overcome the ‘undruggable proteome’ problem.”

Wang is grateful for the Keck Foundation's support as it is crucial to building a new platform of precision medicine in the treatment of disease. “Without this Keck grant, we can't gather or obtain those data,” says Wang. “This would be something that NIH would want up front [to fund additional research]. The Keck Foundation emphasizes the idea and the impact, but not so much on the preliminary data. I'm so grateful that the Keck Foundation views research in a different way so that important projects like this are funded and get going. If successful, this will be one of the most advanced technology in the field of RNA splicing.”

Story provided by the University of Kansas. 

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