Viviana Gradinaru
California Institute of Technology
172 Papers
797 Citations
Viviana Gradinaru is an academic researcher from California Institute of Technology. The author has contributed to research in topics: Biology & Medicine. The author has an hindex of 49, co-authored 137 publications. Previous affiliations of Viviana Gradinaru include Laboratory of Molecular Biology & Howard Hughes Medical Institute.
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Papers
Machine learning to design integral membrane channelrhodopsins for efficient eukaryotic expression and plasma membrane localization.
TL;DR: A predictive, machine-learning approach that captures this complexity to facilitate successful MP engineering and design is described and it is shown that the models can elucidate sequence and structure elements important for these processes.
Dopaminergic dysfunction in neurodevelopmental disorders: recent advances and synergistic technologies to aid basic research
TL;DR: Recent findings exploring dopaminergic function in NDD models are reviewed and the promise of new tools to probe NDD pathophysiology in these circuits are discussed.
Intravenous gene transfer throughout the brain of infant Old World primates using AAV
Miguel R. Chuapoco,Nicholas C. Flytzanis,Nick Goeden,J. Christopher Octeau,K. M. Roxas,Ken Y. Chan,Jon Scherrer,Janet Winchester,Roy J. Blackburn,Lillian Campos,Cynthia Mary Arokiaraj,Timothy F. Miles,Min Jee Jang,Julia Vendemiatti,Benjamin E. Deverman,James Pickel,Andrew S. Fox,Viviana Gradinaru +17 more
TL;DR: CAP-Mac is an engineered AAV variant that enables systemic, brain-wide gene delivery in infants of two Old World primate species and shows promise for researchers and clinicians alike to unlock novel, noninvasive access to the brain for efficient gene transfer.
Structure-guided SCHEMA recombination generates diverse chimeric channelrhodopsins.
Claire N. Bedbrook,Austin J. Rice,Kevin K. Yang,Xiaozhe Ding,Siyuan Chen,Emily M LeProust,Viviana Gradinaru,Frances H. Arnold +7 more
TL;DR: This work used structure-guided SCHEMA recombination to generate libraries of chimeric ChRs that are diverse in sequence yet still capable of efficient expression, localization, and useful light-induced functionality.
Spatial transcriptomics for profiling the tropism of viral vectors in tissues
Min Jee Jang,Gerard M. Coughlin,Cameron R Jackson,Xinhong Chen,Miguel R. Chuapoco,Julia Vendemiatti,Alexander Z Wang,Viviana Gradinaru +7 more
TL;DR: In this paper , the authors developed an ultrasensitive, sequential fluorescence in situ hybridization (USeqFISH) method for spatial transcriptomic profiling of endogenous and viral RNA with a short barcode in intact tissue volumes by integrating hydrogel-based tissue clearing, enhanced signal amplification and multiplexing using sequential labeling.