Biomedical Research Education & Training
Faculty Member

Venters, Bryan, PhD
Assistant Professor of Molecular Physiology & Biophysics

Lab Url:

Phone Number: (615) 322-4761

Email Address:

Venters, Bryan's picture
Academic history

Office Address   Mailing Address

746 Robinson Research Building

746 RRB, Robinson Research Building 37232

Research Keywords
ChIP-exo, JAK-STAT pathway, Cancer, Next-gen sequencing, RNA-seq, Gene regulation, transcription, epigenetics

Research Specialty
The goal of my research is to understand the transcriptional mechanisms underpinning the JAK-STAT signaling pathway that lead to human disease and cancer.

Research Description
A fundamental question in molecular biology is how human disease is programmed into the genome. The overarching goal of my laboratory is to elucidate the transcription regulatory networks underlying oncogenic signaling pathways. STAT transcription factors in the JAK-STAT pathway (Janus Kinase-Signal Transducer and Activator of Transcription) are among the most frequently activated oncogenic proteins in cancer cells. My current research is focused on discovering how the JAK-STAT pathway is involved in the disease process using genetic, molecular, and next-gen sequencing approaches.

The goals of some current projects in my laboratory are to:

- Understand how STATs direct aberrant transcriptional programs in leukemia using stat-of-the-art functional genomics approaches

- Dissect the functional interdependencies among STATs on a genome-wide scale

- Identifying regulatory complexes that are recruited by the STAT transcription factors

- Discover novel molecular signatures in clinical samples with the future goal to better predict patient prognosis and identify new therapeutic targets

Venters, BJ, Irvin, JD, Gramlich, P, Pugh, BF. Genome-wide transcriptional dependence on conserved regions of Mot1. Mol Cell Biol, 31(11), 2253-61, 2011

Venters, BJ, Wachi, S, Mavrich, TN, Andersen, BE, Jena, P, Sinnamon, AJ, Jain, P, Rolleri, NS, Jiang, C, Hemeryck-Walsh, C, Pugh, BF. A comprehensive genomic binding map of gene and chromatin regulatory proteins in Saccharomyces. Mol Cell, 41(4), 480-92, 2011

Venters, BJ, Pugh, BF. How eukaryotic genes are transcribed. Crit Rev Biochem Mol Biol, 44(2-3), 117-41, 2009

Venters, BJ, Pugh, BF. A canonical promoter organization of the transcription machinery and its regulators in the Saccharomyces genome. Genome Res, 19(3), 360-71, 2009

Lee, C, Li, X, Hechmer, A, Eisen, M, Biggin, MD, Venters, BJ, Jiang, C, Li, J, Pugh, BF, Gilmour, DS. NELF and GAGA factor are linked to promoter-proximal pausing at many genes in Drosophila. Mol Cell Biol, 28(10), 3290-300, 2008

Mavrich, TN, Ioshikhes, IP, Venters, BJ, Jiang, C, Tomsho, LP, Qi, J, Schuster, SC, Albert, I, Pugh, BF. A barrier nucleosome model for statistical positioning of nucleosomes throughout the yeast genome. Genome Res, 18(7), 1073-83, 2008

Mavrich, TN, Jiang, C, Ioshikhes, IP, Li, X, Venters, BJ, Zanton, SJ, Tomsho, LP, Qi, J, Glaser, RL, Schuster, SC, Gilmour, DS, Albert, I, Pugh, BF. Nucleosome organization in the Drosophila genome. Nature, 453(7193), 358-62, 2008

Yao, H, Li, P, Venters, BJ, Zheng, S, Thompson, PR, Pugh, BF, Wang, Y. Histone Arg modifications and p53 regulate the expression of OKL38, a mediator of apoptosis. J Biol Chem, 283(29), 20060-8, 2008

Cheng, L, Naumann, TA, Horswill, AR, Hong, SJ, Venters, BJ, Tomsho, JW, Benkovic, SJ, Keiler, KC. Discovery of antibacterial cyclic peptides that inhibit the ClpXP protease. Protein Sci, 16(8), 1535-42, 2007

Lessner, FH, Venters, BJ, Keiler, KC. Proteolytic adaptor for transfer-messenger RNA-tagged proteins from alpha-proteobacteria. J Bacteriol, 189(1), 272-5, 2007

Venters, BJ, Pugh, BF. Chromatin meets RNA polymerase II. Genome Biol, 8(11), 319, 2007

Postdoctoral Position Available

Postdoctoral Position Details
Our laboratory is seeking a postdoctoral candidate who is interested in research that uses functional genomic approaches to investigate erythropoietin(Epo)-dependent gene regulatory pathways in erythroid differentiation. Suitable applicants must have experience analyzing next-gen sequencing data, use of command line bioinformatics tools, and preferably with programming experience with Python or Perl.

To apply please send your CV, a brief description on why you are interested in the position, and names/contact info for 2-3 references to:
Dr. Bryan Venters (

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