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Sumit K. Chanda on Muck Rack

Sumit K. Chanda

As seen in: Nature, The Economic Times, The Times of India, India Times, MDPI, MintGenie, Cell Press, Financial Express, Deccan Herald, Inc42 and
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Articles

ArfGAP2 promotes STING proton channel activity, cytokine transit, and autoinflammation

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By Subhajit Poddar, Samuel D. Chauvin, Christopher Archer, Wei Qian, Jean A. Castillo-Badillo, Xin Yin, Cathrine Miner, Joe Holley, Teresa V. Naismith, Xiaochao Wei, Yue Ning, Jiayuan Fu, Nehalee Surve, Shivam A. Zaver, Kimberly A. Wodzanowski, Katherine R. Balka, Canyu Liu, Will Bailis, Sara Cherry, Clay F. Semenkovich, Dominic De Nardo, Sunnie M. Yoh, Sumit K. Chanda, David Kast, Jonathan J. Miner, W. Miguel Disbennett, W. Alexander Stinson, Trini A. Ochoa, Rajan Venkatraman, Yoko Shiba, Elisha D.O. Roberson
| Cell Press Verified
1Division of Rheumatology, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA 2Department of Cell Biology and Physiology, Washington University School of Medicine, St Louis, MO 63110, USA 3Department of Medicine, Washington University School of Medicine, St Louis, MO 63110, USA 4Immunity and Pathogenesis Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA 5State Key Laboratory of Veterinary...
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Live imaging of airway epithelium reveals that mucociliary clearance modulates SARS-CoV-2 spread - Nature Communications

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By Mark Becker, Lacy M. Simons, Sumit K. Chanda, Judd F. Hultquist
| Nature Verified
Abstract SARS-CoV-2 initiates infection in the conducting airways, where mucociliary clearance inhibits pathogen penetration. However, it is unclear how mucociliary clearance impacts SARS-CoV-2 spread after infection is established. To investigate viral spread at this site, we perform live imaging of SARS-CoV-2 infected differentiated primary human bronchial epithelium cultures for up to 12 days.
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Drug target prediction through deep learning functional representation of gene signatures - Nature Communications

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By Hao Chen, Frederick King, Max Chang, Lars Pache, Tao Jiang, Christopher K. Benner, Sumit K. Chanda
| Nature Verified
Abstract Many machine learning applications in bioinformatics currently rely on matching gene identities when analyzing input gene signatures and fail to take advantage of preexisting knowledge about gene functions.
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