Decoding Disease by Applying Cell Sorting and Epigenomics Technologies to Tissue Macrophages

Webinar On-Demand. Photo of researcher in white coat, gloves, and eye protection in lab using a pipetter.

Presented by Select Science

Susceptibility to many diseases is regulated by genetic variation, which occurs most often in non-coding regulatory regions of the genome, including enhancers and silencers. Functionally, enhancers and silencers fine tune gene expression with cell type and/or context specificity. Therefore, understanding disease mechanisms may be improved by assessing dynamic changes in enhancer and silencer function using highly purified cell populations from disease relevant tissues. Data from these approaches can nominate candidate transcription factors and upstream signaling pathways responsible for disease-induced gene expression changes.

Join this webinar to learn how sorted hepatic cells and nuclei were used with RNA-seq, ATAC-seq, and ChIP-seq to decode gene expression of Kupffer cells, the major liver resident macrophage. Kupffer cell differentiation, niche-fitness, and transcriptional reprogramming during nonalcoholic fatty liver disease will be discussed.

Learning objectives:

Who should attend

This webinar will provide insights for researchers who want to learn strategies for decoding disease through combinatorial application of cell sorting and genomics technologies. This strategy will be presented through the lens of hepatic macrophages in health and disease.

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Speaker

Photo of Ty Troutman

Ty D. Troutman, Ph.D.
Assistant Professor

University of Cincinnati
Department of Pediatrics

Dr Ty Troutman is an Assistant Professor at University of Cincinnati in the Department of Pediatrics. He has a PhD in immunology from the University of Texas Southwestern Medical Center. His research broadly focuses on innate immunity and the contribution of inflammation to acute and chronic disease, with a specific goal to define the molecular mechanisms controlling the functions of macrophages and myeloid cells during illness. His lab focuses on applying diverse genomics technologies to purified tissue cells to decode transcriptional changes observed during disease by identifying the responsible transcription factors, upstream signaling pathways and sender cell populations. This strategy has led to the successful identification of a hierarchical framework controlling niche specification of macrophages, the discovery of transcriptional mechanisms controlling their functional diversification during nonalcoholic steatohepatitis and the prediction of cis and trans-acting factors promoting response differences from genetically diverse individuals.