D
Deepak Sharma
Researcher at Jawaharlal Nehru University
Publications - 234
Citations - 8472
Deepak Sharma is an academic researcher from Jawaharlal Nehru University. The author has contributed to research in topics: Chemistry & Medicine. The author has an hindex of 46, co-authored 148 publications receiving 7484 citations. Previous affiliations of Deepak Sharma include Dr. Shakuntala Misra National Rehabilitation University & Mayo Clinic.
Papers
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Journal ArticleDOI
Ultrastructural identification of uncoated caveolin-independent early endocytic vehicles
Matthew Kirkham,Akikazu Fujita,Rahul Chadda,Susan J. Nixon,Teymuras V. Kurzchalia,Deepak Sharma,Richard E. Pagano,John F. Hancock,Satyajit Mayor,Robert G. Parton +9 more
TL;DR: Using quantitative light microscopy and a modified immunoelectron microscopic technique, the entry pathway of the cholera toxin binding subunit (CTB) in primary embryonic fibroblasts is characterized and the major carriers involved in initial entry of CTB were identified as uncoated tubular or ring-shaped structures.
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Rab proteins mediate Golgi transport of caveola-internalized glycosphingolipids and correct lipid trafficking in Niemann-Pick C cells
Amit Choudhury,Michel Dominguez,Vishwajeet Puri,Deepak Sharma,Keishi Narita,Christine L. Wheatley,David L. Marks,Richard E. Pagano +7 more
TL;DR: A role for Rab7 and Rab9 in the Golgi targeting of glycosphingolipids is demonstrated and a new therapeutic approach for restoring normal lipid trafficking in NP-C cells is suggested.
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Removal of hexavalent chromium using sphagnum moss peat
Deepak Sharma,C.F. Forster +1 more
TL;DR: In this article, it was shown that sphagnum moss peat, which is essentially oligotrophic, in concentrations ranging from 4 to 40 g/l can be used effectively to remove hexavalent chromium from aqueous solutions.
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A preliminary examination into the adsorption of hexavalent chromium using low-cost adsorbents
Deepak Sharma,C.F. Forster +1 more
TL;DR: In this paper, four organic wastes were tested as potential adsorbents for hexavalent chromium and the results showed that this type of material could certainly be considered for this purpose with the best results being achieved at pH values of 1·5-3·0.
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An IoT based smart irrigation management system using Machine learning and open source technologies
TL;DR: An open-source technology based smart system to predict the irrigation requirements of a field using the sensing of ground parameter like soil moisture, soil temperature, and environmental conditions along with the weather forecast data from the Internet is presented.