Ph.D., University of Minnesota (2011)
M.S., Indian Institute of Technology Delhi (2006)
B.S., Indian Institute of Technology Delhi, Chemical Engineering (2006)
- Voice of America research feature
- Most Highly prolific authors for ACS Infectious Diseases (2016)
- Finalist, Agilent Early Career Professor Award (2015)
- William M. Keck Foundation Research award (2015-2017)
- New Inventor of the Year, University of Colorado (2013)
- Center of Non-Linear Studies Postdoctoral Fellowship (2011-2012)
- Doctoral Dissertation Fellowship, University of Minnesota (2010-2011)
- Suman-Upma Gupta Memorial Gold medal award (2006)
Lee E. Korshoj, Sepideh Afsari, Sajida Khan, Anushree Chatterjee*, Prashant Nagpal* (2017). Single nucleotide DNA sequence identification using biophysical signatures from nanoelectronic quantum tunneling. Small (In press).
Colleen M Courtney#, Samuel Goodman#, Jessica McDaniel, Nancy E. Madinger, Anushree Chatterjee*, and Prashant Nagpal* (2016). Photo Excited Quantum Dots for Killing Multi-Drug Resistant Bacteria. Nature Materials 15, 529-534.
Antoni E. Bordoy, Usha S. Varanasi, Colleen M. Courtney, and Anushree Chatterjee* (2016). Transcriptional Interference in convergent promoters as a means for Tunable Gene Expression. ACS Synthetic Biology 5(12), 1331-1341.
Peter B. Otoupal, Keesha E. Erickson, Antoni E. Bordoy, and Anushree Chatterjee* (2016). CRISPR modulation of gene expression perturbs bacterial adaptive pathways and reveals intrinsic epistatic constraints. ACS Synthetic Biology (ASAP article).
Keesha E. Erickson, Peter B. Otoupal, and Anushree Chatterjee* (2015). Gene expression variability underlies adaptive resistance in phenotypically heterogeneous bacterial populations. ACS Infectious Diseases 1(11), pp 555-567.
Colleen M. Courtney and Anushree Chatterjee* (2015). Sequence-specific peptide nucleic acids based antisense inhibitors of TEM-1-b-lactamase and mechanism of adaptive resistance. ACS Infectious Diseases 1 (6), pp253-263.
Anushree Chatterjee, Laura C. Cook, Che-Chi Shu, Yuching Chen, Dawn Manias, Doraiswami Ramkrishna, Gary M. Dunny and Wei-Shou Hu* (2013). Antagonistic self-sensing and mate-sensing signaling controls antibiotic-resistance transfer. Proceedings of National Academy of Sciences, 110(17), 7086-7090.
Anushree Chatterjee, Christopher M. Johnson, Che-Chi Shu, Yiannis N. Kaznessis, Doraiswami Ramkrishna, Gary M. Dunny and Wei-Shou Hu* (2011). Convergent transcription confers a bistable switch in Enterococcus faecalis conjugation. Proceedings of the National Academy of Sciences, 108: 9721-9726.
Christopher M Johnson, Heather Haeming, Anushree Chatterjee, Wei-Shou Hu, Keith E. Weaver, and Gary M. Dunny* (2011). RNA-mediated reciprocal regulation between two bacterial operons is RNAse III dependent. mBio, 2(5): e00189-11.
Laura CC Cook, Anushree Chatterjee, Aaron Barnes, Jeremy Yarwood, Wei-Shou Hu and Gary M. Dunny* (2011). Biofilm growth alters regulation of conjugation by a bacterial pheromone. Molecular Microbiology, 81(6), 1499-1510.
KEY: *Corresponding author(s), # Equal contribution
Our research group uses a combination of interdisciplinary approaches including chemical engineering, synthetic biology, systems biology, molecular biology, microbiology, metabolic engineering and computational biology to address key global challenges including medical and energy needs. We are interested in adopting an integrated mathematical modeling and experimental approach to investigate fundamental and medically relevant issues such as understanding the molecular mechanisms responsible for antibiotic and antiviral resistance, and for developing “next-generation smart antimicrobials” by rationally engineering novel therapeutics that target essential bacterial/viral genes in a potentially resistance-free manner. We study genetic regulatory networks that control propagation of infectious diseases such as Hepatitis C, with the goal of discovering novel drug targets for therapy. Using synthetic biology tools we design, construct and engineer modular synthetic genetic devices that can achieve higher-order biological computation, for variety of biotechnological and bioenergy applications. To this end, we engineer biological parts such as transcription factors, promoter sequences, receptors, feedback loops, and regulatory RNA to build complex genetic networks that can be used to optimize cellular machinery for production of bio-fuels and pharmaceuticals, and for gene therapy applications. Using these genetic devices, we apply systems biology approaches to understand functioning of complex genetic networks and to build rules to manipulate such networks.