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Biswapriya Misra

Last modified: Wed, 12/16/2020 - 11:10

Mentorship Information

Contact Information

Name: Biswapriya Misra

Institutional Affiliation: Wake Forest School of Medicine


Contact Phone: (352)-215-6040

Mailing Address: Biswapriya B. Misra Nutrition Research Center, Room G # 43 Center for Precision Medicine Department of Internal Medicine Section on Molecular Medicine Wake Forest Baptist Medical Center Medical Center Boulevard, Winston Salem, NC 27157, USA

Mentorship Details

Research Focus: I am currently an Assistant Professor in the Department of Internal Medicine and a member of the Center for Precision Medicine at Wake Forest School of Medicine (WFSM). My research focus is on metabolomic approaches in diverse biological models and non-model systems toward an integrated analysis of multi-omics datasets. My expertise with multi-omics research was developed through my training in diverse biological models at different international academic institutions. During my first postdoctoral position, I was involved in the sequencing of the rubber tree genomes and transcriptomes, gaining invaluable informatics skills in genomics and transcriptomics. My second postdoctoral position led to the demonstration of the metabolomic dichotomy in cell types of different plant organs and tissues, such as leaves, using mass spectrometry-based metabolomics. Using multiple statistical and bioinformatics tools for data processing, analysis, interpretation, and visualization, I gained expertise in plant cell-type metabolomics and proteomics. Most recently, at the Texas Biomedical Research Institute, I employed mass spectrometry methods to characterize non-human primate and human tissue and biofluid metabolomes. The goal of these studies was to integrate the different layers of -omics into the global-omics scale for comprehensive and interactive visualization of the high dimensional datasets. Insights from integrated -omics analyses helped generate critical targets for biomedical interventions and innovations. In my current work, I am implementing integrative -omics computational approaches to provide a true systems biology perspective for understanding mechanisms of several vascular diseases, such as atherosclerosis and cardiovascular diseases, for metabolic diseases, such as diabetes and obesity, and for Alzheimer’s disease where I am implementing new analyses for the identification of key pathways, networks, and modules.

Grants Funded: 17-04629-001 Misra (PI) 02/01/2017-01/31/2018 Liver and serum metabolomics biomarkers for atherosclerosis Texas Biomed Forum Grant The goal of this study is to use the serum metabolite-based biomarkers as surrogates for liver dysfunction in atherosclerosis. Role: PI DK097154 Misra (Co-PI) 06/12/2017-05/30/2018 Lipidomics and Exposomics of Atherosclerotic Baboon Livers for Biomarker Discovery NIH West Coast Metabolomics Center Pilot Grant The goal of this study is to investigate liver metabolome and exposome alongside multi-omics data sets for understanding the metabolomic dysregulation in atherosclerosis. Role: Co-PI

Research Summary: 1. Integrated -omics for understanding of human metabolic health and disease My current work is focused on generating high quality metabolomics datasets leveraging high resolution mass spectrometry (GC-Orbitrap-MS and LC-Orbitrap-MS) methods and NMR datasets to combine with other -omics layers such as genomics (transcriptomics, epigenetics), proteomics, and clinical datasets to provide insights into the metabolic changes that are associated with human and non-human primate health and diseases, specifically metabolic diseases such as atherosclerosis, diabetes, obesity, and Alzheimer’s disease. In these integrated-/pan-/trans- omics efforts, I will weigh in the role of exposures (environmental, dietary, microbial versus man-made) as an integral component to these -omics efforts for a systems biology understanding of disease. Using innovative approaches in sample preparation (from challenging cell-/tissue-/biofluid- types to organs), the power of high resolution tandem mass-spectrometry, ever growing computational and database resources for handling 'big data', open source tools and reproducible workflows, in conjunction with high dimensional -omics datasets, I will identify pathways and networks with the goal of identifying biomarkers relevant to biomedical research and healthcare which represent targets for therapeutic interventions.

Mentorship Interest: To educate mentees by pointing to career and skill development resources [i.e.,] , through presentations, interactions (Skype, Email, phone, grantsmanship etc.), publication resources, tools [Updates in metabolomics tools and resources:2014–2015:, Review of emerging metabolomic tools and resources: 2015–2016:,New tools and resources in metabolomics: 2016–2017,, Updates on resources, software tools, and databases for plant proteomics in 2016-2017:, through promoting them at various avenues such as PLOS ECR Community [] Medium [] and platforms as such, based on my mentoring experience and skill sets. My recent past experience with the Metabolomics Society as an Early Career Researcher, EMN Committee network member would also facilitate networking with the other senior members of the metabolomics society: Other avenues would also involve visits to our facility and laboratories for getting exposed to the metabolomics research, analytical platforms and workflows in doing such research; involvement as a co-I and co-PI in proposed grants and funded research; service as Peer Reviewer for grants and publications as well as co-authors. My efforts would also involve to get the mentees understand the challenges and opportunities in not only metabolomics data sets but also for other multi-omics areas such as proteomics, genomics, transcriptomics, and imaging-based studies in biomedical research [I.E., Integrated Omics: Tools, Advances, and Future Approaches.:].

Mentor Website: Google Scholar: Research Gate: Publons: Twitter Handle: