Indian Institute of Technology Gandhinagar 3 articles published in JoVE Biochemistry Single-Molecule Analysis of Sf9 Purified Superprocessive Kinesin-3 Family Motors Pushpanjali Soppina1,2, Dipeshwari J. Shewale1, Pradeep K. Naik2, Virupakshi Soppina1 1Discipline of Biological Engineering, Indian Institute of Technology Gandhinagar, 2Department of Biotechnology and Bioinformatics, Sambalpur University This study details purification of KIF1A(1-393LZ), a member of kinesin-3 family, using Sf9-baculovirus expression system. In vitro single-molecule and multi-motor gliding analysis of these purified motors exhibited robust motility properties comparable to motors from mammalian cell lysate. Thus, Sf9-baculovirus system is amenable to express and purify motor protein of interest. Chemistry Developing Photosensitizer-Cobaloxime Hybrids for Solar-Driven H2 Production in Aqueous Aerobic Conditions Ab Qayoom Mir1, Dependu Dolui1, Shikha Khandelwal1, Harshil Bhatt2, Beena Kumari1, Sanmitra Barman3, Sriram Kanvah1, Arnab Dutta1 1Chemistry Discipline, Indian Institute of Technology Gandhinagar, 2Chemistry Department, Uka Tarsadia University, 3Applied Sciences Department, BML Munjal University We have directly incorporated a stilbene-based organic dye into a cobaloxime core to generate a photosensitizer-catalyst dyad for photocatalytic H2 production. We have also developed a simple experimental setup for evaluating the light-driven H2 production by photocatalytic assemblies. Neuroscience A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation Deepesh Kumar1, Abhijit Das2, Uttama Lahiri1, Anirban Dutta3,4 1Indian Institute of Technology Gandhinagar, 2AMRI Institute of Neurosciences, 3Institut national de recherche en informatique et en automatique (INRIA), 4Leibniz Research Centre for Working Environment and Human Factors (IfADo) A novel low-cost human-machine interface for interactive post-stroke balance rehabilitation system is presented in this article. The system integrates off-the-shelf low-cost sensors towards volitionally driven electrotherapy paradigm. The proof-of-concept software interface is demonstrated on healthy volunteers.
