Peters Research Group
Principal Investigator:
David Peters, PhD
Research at the lab is built around two related themes. The first is the development of non-invasive diagnostic tests for fetal genetic disease. The second is the analysis of epigenetic changes associated with normal development and reproductive disease. To achieve these goals, the lab combines high-throughput methods in genomics with computational methods.
Lab Members
- Kimberly Bunce, PhD
- Annie Shaw, BS
- Michael Scow, BS
Lab Alumni
Brian Burke, BS
MD student, Medical College of Ohio
Selected Publications
- Chu T, Handley D, Bunce K, Surti U, Hogge WA, & Peters DG. Structural and regulatory characterization of the placental epigenome at its maternal interface. PLoS One, 6(2):e14723, Feb. 23, 2011.
- Chu T, Bunce K, Hogge WA, & Peters DG. Statistical considerations for digital approaches to non-invasive fetal genotyping. Bioinformatics, 26(22):2863-6, Nov. 15, 2010.
- Chu T, Burke B, Bunce K, Surti U, Hogge WA, & Peters DG. A microarray-based approach for the identification of epigenetic biomarkers for the noninvasive diagnosis of fetal disease. Prenat Diagn, 29(11):1020-30, 2009.
- Chu T, Bunce K, Hogge WA, & Peters DG. Statistical model for whole genome sequencing and its application to minimally invasive diagnosis of fetal genetic disease. Bioinformatics, 25(10):1244-50, 2009.
- Chu TJ & Peters DG. Serial analysis of the vascular endothelial transcriptome under static and shear stress conditions. Physiol Genomics, 34(2):185-92, 2008.
- Peters DG, Ning W, Chu TJ, Li CJ, & Choi AM. Comparative SAGE analysis of the response to hypoxia in human pulmonary and aortic endothelial cells. Physiol Genomics, 26(2):99-108, 2006.
- Peters DG, Freund J, & Ochs RL. Genome-wide transcriptional analysis of carboplatin response in chemosensitive and chemoresistant ovarian cancer cells. Mol Cancer Ther, 4(10):1605-16, 2005.
- Peters DG, Kudla DM, DeLoia JA, Chu TJ, Fairfull L, Edwards RP, & Ferrell RE. Comparative gene expression analysis of ovarian carcinoma and normal ovarian epithelium by serial analysis of gene expression. Cancer Epidemiol Biomarkers Prev, 14(7):1717-23, 2005.