Assistant Staff, Computational Immunology
Location: Cleveland Clinic Main Campus
Genetic variations directly change enzymes’ activities and functions, or transcription factor regulation, which results in the alteration of the identities and quantities of both intracellular and extracellular metabolites. Therefore, the genetic background can be a causal factor for metabolic reprogramming. My research focus is to identify alterations in metabolism-related genes (metabogenomics) and characterize how these alterations result in specific metabolomic molecular phenotypes, which then inform cancer phenotypes and patient outcomes.
Dr. Ying Ni is an investigator with a broad background in molecular genetics, genomics, and bioengineering, with specific training and expertise in translational clinical research design, bioinformatics analysis, and functional validation. She specializes in cancer metabolomics, the large-scale study of small molecules, which serves as a quantitative cellular phenotype that provides critical information about cancer states. In her lab, Dr. Ni takes on the challenge of decoding the metabolic heterogeneity of cancer cells using a multi-faceted approach, with a particular focus on inherited genetic predisposition.
Appointed to the Center for Immunotherapy and Precision Immuno-Oncology (CITI) in 2021, Dr. Ni’s lab focuses on computational multi-omics research that covers areas such as genomics, transcriptomics, and metabolomics in cancer. Dr. Ni also collaborates with the Taussig Cancer Institute (TCI) and Pathology and Laboratory Medicine, where she supports the management of an enterprise-wide cancer genomics data warehouse that incorporates standard of care clinical genomic testing. Working closely with members of the CITI Computational Immunology Platform, Dr. Ni also plays a critical role in developing the Cleveland Clinic instance of cBioPortal – a searchable, minable portal for genomics, transcriptomics, and high-dimensional datasets with patient clinical outcomes. This cross-institutional resource is being developed for addressing both clinical and translational research questions.
Dr. Ni obtained her MS in electrical engineering from the University of Illinois, after which she earned her PhD in molecular medicine from Case Western University. Remaining in Cleveland, she then completed a joint postdoctoral fellowship at both the Cleveland Clinic Genomic Medicine Institute and the Case Comprehensive Cancer Center, establishing her extensive and unique background in both molecular genetics/genomics and bioinformatics.
Education & Fellowships
Postdoctoral Fellowship - Cleveland Clinic, Genomic Medicine Institute
Cleveland, OH USA
Graduate - Case Western Reserve University
Cleveland, OH USA
Graduate - University of Illinois at Chicago
Chicago, IL USA
Undergraduate - Communication University of China
Awards & Honors
Our research is all about the systems genetics of cancers for precision oncology. We are interested in developing computational and bioinformatic approaches for analyzing next-generation sequencing and metabolomics data and focuses on ways of integrating diverse data from different molecular levels (e.g. genetic, transcriptomic, metabolic data, etc.) for connecting genotypes to phenotypes (e.g. in human disease) and generating multi-omics signatures in association with disease pathogenicity, prognosis, and biomarker discovery. In particular, we are focusing on metabogenomics, which identifies alterations in metabolism-related genes and metabolites could have direct impact in cancer predisposition, tumor progression, and immunotherapy treatment response.
View publications for Ying Ni, PhD
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