INDIANAPOLIS — Opening the door to a better understanding of proteins and our ability to treat and prevent diseases, the National Institutes of Health awarded $1.18 million to faculty at the Indiana University School of Informatics and Computing at IUPUI and the IU School of Medicine for a research collaboration that unites two cutting-edge technologies in the discovery and analysis of proteoforms.
Professor Xiaowen Liu from the Department of BioHealth Informatics at the School of Informatics and Computing and professor Yunlong Liu from the Department of Medical and Molecular Genetics at the School of Medicine are principal investigators on the project, which combines their respective expertise in mass spectrometry-based top-down proteomics data analysis and RNA sequencing.
His novel data model, the “mass graph,” will incorporate Yunlong Liu’s expertise in RNA sequencing modeling to further aid in accurate identification at the proteome level. RNA sequences provide information that enables more precision in creating a data template for targeting proteins. The team will also develop a software pipeline that utilizes these technologies.
How many proteoforms might be discovered? There may be hundreds of thousands, said Yunlong Liu. “The proteins are more than just a sequence of amino acids,” he said. “Some amino acids can be modified, and this technology will allow us to see those modification patterns as well.”
“Getting a better picture of proteoforms will enhance our understanding of living organisms — and present the opportunity for advances in diagnosing patients,” said Xiaowen Liu. “Comparing the protein forms for healthy samples and patient samples could reveal biomarkers that will improve medical prognoses.”
Yunlong Liu said there are very promising translational benefits for treatments. “We need to understand the form of the protein before we design a drug to target it,” he said. “And so there is great therapeutic potential.”
Source – IUPUI Newsroom