The Quantitative Biology Facility Core (QBFC) is part of an integrated Facility Core program consisting of hypothesis generating, testing, and translational resources within an Integrated Discovery Pipeline, designed to accelerate and advance innovative ideas from hypothesis to practice. The primary goal of the Quantitative Biology Core (QBFC) is to provide CTEHR investigators and trainees with access to state-of-the-art genomics, bioinformatics, biostatistics and computational biology infrastructure. The QBFC will make a unique contribution to Center member research by facilitating the use of large scale computing capabilities for the building of gene regulatory networks;characterization of environmentally impacted disease states exhibiting dynamic behavior;and prediction of new environmental targets based on analyses of regulatory pathways. By integrating the QBFC data analysis capabilities with the activities of the Advanced Imaging and Targeted Genomics Facility Cores, CTEHR investigators will be able to develop a systems level understanding of complex problems in EHS research. The QBFC will support the CTEHR mission by carrying out the following Specific Aims:
Aim 1. Provide a wide range of state-of-the-art genomics, biostatistics and bioinformatics resources to address the diverse needs of CTEHR members;
Aim 2. Further the educational mission of the CTEHR by providing a robust training (targeted education) and career development program for graduate students, postdoctoral fellows and faculty;
Aim 3. Develop and implement cutting-edge data integration (integromics) and computational biology applications for CTEHR members. Through expertise and resources made available to Center members in the QBFC, investigators will be able to utilize a full complement of genomic analyses including: non-coding RNAs (microRNA and lncRNA), RNA-Seq, ChIP-Seq, DNA methylation, microarrays, qPCR low-density arrays, single cell transcriptomics, ribosome profiling, and in situ hybridization. Since generation of large, NextGen data sets is becoming a central tool for understanding cellular physiology and response to environmental stressors, the QBFC will play a major role in the ability of CTEHR members to conduct and analyze hypothesis generating, as well as hypothesis testing, EHS research utilizing these large, complex data sets.

Public Health Relevance

Program Narrative - Quantitative Biology Facility Core (QBFC) The Quantitative Biology Facility Core (QBFC) will provide CTEHR investigators state-of-the-art genomics, bioinformatics, biostatistics and computational biology infrastructure. The Core will work with Center investigators to expand multidisciplinary collaborations, and provide opportunities for career development of junior investigators. Since generation of large, NextGen data sets is becoming a central tool for understanding cellular physiology and response to environmental stressors, the QBFC will play a major role in the ability of CTEHR members to conduct and analyze hypothesis generating, as well as hypothesis testing, EHS research utilizing these large, complex data sets.

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Center Core Grants (P30)
Project #
1P30ES023512-01
Application #
8619327
Study Section
Environmental Health Sciences Review Committee (EHS)
Project Start
Project End
Budget Start
2014-06-05
Budget End
2015-03-31
Support Year
1
Fiscal Year
2014
Total Cost
$181,089
Indirect Cost
$57,041
Name
Texas A&M Agrilife Research
Department
Type
DUNS #
847205713
City
College Station
State
TX
Country
United States
Zip Code
77843
Phillips, Tracie D; Richardson, Molly; Cheng, Yi-Shing Lisa et al. (2015) Mechanistic relationships between hepatic genotoxicity and carcinogenicity in male B6C3F1 mice treated with polycyclic aromatic hydrocarbon mixtures. Arch Toxicol 89:967-77
Lee, Syng-Ook; Li, Xi; Hedrick, Erik et al. (2014) Diindolylmethane analogs bind NR4A1 and are NR4A1 antagonists in colon cancer cells. Mol Endocrinol 28:1729-39
Nair, Vijayalekshmi; Sreevalsan, Sandeep; Basha, Riyaz et al. (2014) Mechanism of metformin-dependent inhibition of mammalian target of rapamycin (mTOR) and Ras activity in pancreatic cancer: role of specificity protein (Sp) transcription factors. J Biol Chem 289:27692-701
Jutooru, Indira; Guthrie, Aaron S; Chadalapaka, Gayathri et al. (2014) Mechanism of action of phenethylisothiocyanate and other reactive oxygen species-inducing anticancer agents. Mol Cell Biol 34:2382-95
Kang, Y; Nian, H; Rajendran, P et al. (2014) HDAC8 and STAT3 repress BMF gene activity in colon cancer cells. Cell Death Dis 5:e1476
Stossi, Fabio; Bolt, Michael J; Ashcroft, Felicity J et al. (2014) Defining estrogenic mechanisms of bisphenol A analogs through high throughput microscopy-based contextual assays. Chem Biol 21:743-53
Lingappan, Krithika; Jiang, Weiwu; Wang, Lihua et al. (2014) Mice deficient in the gene for cytochrome P450 (CYP)1A1 are more susceptible than wild-type to hyperoxic lung injury: evidence for protective role of CYP1A1 against oxidative stress. Toxicol Sci 141:68-77
Allen, M Jeannie; Fan, Yang-Yi; Monk, Jennifer M et al. (2014) n-3 PUFAs reduce T-helper 17 cell differentiation by decreasing responsiveness to interleukin-6 in isolated mouse splenic CD4? T cells. J Nutr 144:1306-13
Knight, Jason M; Davidson, Laurie A; Herman, Damir et al. (2014) Non-invasive analysis of intestinal development in preterm and term infants using RNA-Sequencing. Sci Rep 4:5453