The primary goal of the recently renamed Functional Genomics and Microbiome Core (Core C) is to enhance research programs in infection and injury states affecting the mammalian intestine and liver by providing genomics and metagenomics expertise and resources. In this Core, we utilize advanced technology in mammalian and microbial genomics to support ongoing and innovative research to prevent and cure digestive diseases. This Core enables investigators to posit research questions related to gene expression, functional genomics and molecular mechanisms by utilizing the tools of microarrays, deep nucleic acid sequencing (microbial and mammalian), nucleic acid amplification, protein profiling, and bioinformatics. PCR based analyses of gene expression and splicing, DNA mutation/SNP detection, and gene pathway analyses ofthe mammalian metagenome (microbe and man) will be fostered by this Core as a platform for gastrointestinal and hepatic systems biology. Our mission is to provide a full service resource from experimental design to consultations about specimen processing, robust data analysis pipelines, and biostatistical support. In summary, we have created a fully integrated genomic analysis platform for investigators studying digestive diseases.

Public Health Relevance

This Core provides help with complex molecular technologies such as gene expression profiling and genomic microarray analyses, complex protein bead assays, metagenomic sequencing and microbiome analyses needed by DDC members.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Center Core Grants (P30)
Project #
5P30DK056338-12
Application #
8611914
Study Section
Special Emphasis Panel (ZDK1-GRB-8)
Project Start
Project End
Budget Start
2014-03-01
Budget End
2015-02-28
Support Year
12
Fiscal Year
2014
Total Cost
$195,625
Indirect Cost
$70,625
Name
Baylor College of Medicine
Department
Type
DUNS #
051113330
City
Houston
State
TX
Country
United States
Zip Code
77030
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Piyarathna, Danthasinghe Waduge Badrajee; Rajendiran, Thekkelnaycke M; Putluri, Vasanta et al. (2018) Distinct Lipidomic Landscapes Associated with Clinical Stages of Urothelial Cancer of the Bladder. Eur Urol Focus 4:907-915
Choi, Byung-Kwon; Dayaram, Tajhal; Parikh, Neha et al. (2018) Literature-based automated discovery of tumor suppressor p53 phosphorylation and inhibition by NEK2. Proc Natl Acad Sci U S A 115:10666-10671
Gates, Leah A; Gu, Guowei; Chen, Yue et al. (2018) Proteomic profiling identifies key coactivators utilized by mutant ER? proteins as potential new therapeutic targets. Oncogene 37:4581-4598

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