# Functional Genomics Core

> **NIH NIH P30** · UNIVERSITY OF PENNSYLVANIA · 2021 · $137,873

## Abstract

Diabetes mellitus is a highly significant health problem, affecting more than 25 million people in the United
States alone. Our understanding of the pathogenesis of diabetes has benefited immensely from the molecular
genetic analysis of the disease both in human and in rodent models. Advances in genomics technologies have
enabled investigators in the fields of diabetes and endocrinology to simultaneously analyze the expression
levels of thousands of genes, and analyze their epigenetic regulation. During the past grant cycle, we have
dramatically expanded the capabilities of our well-utilized Functional Genomics Core to serve the DRC's
membership needs. We have acquired four next generation sequencing instruments and established multiple
applications, including ChIP-Seq for transcription factor occupancy and histone modifications, exome capture
and sequencing, RNA-Seq, microRNA-Seq, HITS-CLIP, ATAC-Seq, and methylome analysis. During the next
grant cycle, we will offer an expanded repertoire of next generation sequencing services, including library
construction and bioinformatics analysis to the DRC's membership. We have recruited Dr. K.-J. Won, an expert
computational biologist, to provide advanced bioinformatics analysis exclusively for DRC members. The Core
will interact closely with the other DRC cores, for instance in correlating the phenotypic analysis performed on
genetically altered or metabolically challenged mice with their expression profiles, including single cell
RNAseq, and epigenetic regulation to greatly enhance the power of each individual analysis. Furthermore,
similar assessments of the function of control and diabetic human islets from the same donor by the islet
biology and functional genomics core will provide valuable functional information that may be integrated with
changes in DNA sequence or genome-wide measurements of epigenetic regulation or gene expression. This
core, in conjunction with the others, will help measure and understand the normal and pathologic genetic and
epigenetic states of islets, adipose tissue, liver, and other important tissues types as it relates to the
development and function of these tissues.

## Key facts

- **NIH application ID:** 10137228
- **Project number:** 5P30DK019525-45
- **Recipient organization:** UNIVERSITY OF PENNSYLVANIA
- **Principal Investigator:** KLAUS H KAESTNER
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $137,873
- **Award type:** 5
- **Project period:** 1997-03-01 → 2022-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10137228

## Citation

> US National Institutes of Health, RePORTER application 10137228, Functional Genomics Core (5P30DK019525-45). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10137228. Licensed CC0.

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