Hari Krishna Yalamanchili, Ph.D.
Assistant Professor, Department of Pediatrics - Neurology, Baylor College of Medicine
Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital
USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine
Dr. Yalamanchili develops computational and machine learning models leveraging Next Generation Sequencing datasets to understand the fundamental and translational aspects of various neurological disorders. His areas of investigation include RNA processing, regulatory network systems, high throughput transcriptomics and epigenomics.
There is compelling evidence suggesting compromised RNA homeostasis in ageing and various neurological disorders. Deleterious changes in RNA are linked to cell proliferation, differentiation, and senescence. Despite advances in Next Generation Sequencing technologies, our understanding of RNA splicing, alternative polyadenylation, and transcription in various human diseases remains elusive. Dr. Yalamanchili developed computational methods like PolyA-miner, CrypSplice and SpliceNet to investigate various aspects of RNA processing. Using these analytical tools, Dr. Yalamanchili studies RNA homeostasis and decode critical RNA changes to understand disease pathology. With CrypSplice, he uncovered tau-mediated association between cryptic splicing and neurofibrillary tangle pathologic burden in human Alzheimer’s (AD) subjects and discovered extensive cryptic slicing in Amyotrophic lateral sclerosis (ALS) models. With PolyA-miner, he uncovered aberrant alternative polyadenylation changes causing learning deficits and heart failure.
Making data talk and illuminating hidden patterns is what keeps Dr. Yalamanchili motivated. The lab’s scientific mission is to develop computational models and conduct systematic multi-omic integrative analyses to elucidate the underlying molecular mechanisms of various neurological diseases.