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A simple cost-effective microfluidic platform for rapid synthesis of diverse metal nanoparticles: A novel approach towards fighting SARS-CoV-2

Prabhakar, Amit; Bansal, Ishita; Jaiswar, Ankur; Roy, Nimisha; Verma, Deepti
The latest addition to the family of Coronaviruses, SARS-CoV-2, unleashed its wrath across the globe. The outbreak has been so rapid and widespread that even the most developed countries are still struggling with ways to contain the spread of the virus. The virus began spreading from Wuhan in China in December 2019 and has currently affected more than200 countries worldwide. Nanotechnology has huge potential for killing viruses as severe as HIV, herpes, human papilloma virus, and viruses of the respiratory tract, both inside as well as outside the host. Metal-nanoparticles can be employed for biosensing methodology of viruses/bacteria, along with the development of novel drugs and vaccines for COVID-19 and future pandemics. It is thus required for the nanoparticles to be synthesized quickly along with precise control over their size distribution. In this study, we propose a simple microfluidic-reactor-platform for in-situ metal-nanoparticle synthesis to be used against the pandemic for the development of preventive, diagnostic, and antiviral drug therapies. The device has been fabricated using a customized standard photolithography process using a simple and cost-effective setup. The confirmation on standard silver and gold metal nanoparticle formation in the microfluidic reactor platform was analysed using optical fiber spectrophotometer. This novel microfluidic platform provides the advantage of in-situ synthesis, flow parameter control and reduced agglomeration of nanoparticles over the bulk synthesis due to segregation of nucleation and growth stages inside a microchannel. The results are highly reproducible and hence scaling up of the nanoparticle production is possible without involving complex instrumentation.
PMID: 34150529
ISSN: 2214-7853
CID: 5143622

Single-cell transcriptomics of 20 mouse organs creates a Tabula Muris

Schaum, Nicholas; Baghel, Ankit S; Bakerman, Isaac; Bansal, Ishita; Barres, Ben A; Batson, Joshua; Beachy, Philip A; Berdnik, Daniela; Bilen, Biter; Botvinnik, Olga; Brownfield, Douglas; Cain, Corey; Castro, Paola; Chan, Charles K F; Chen, Michelle B; Chen, Steven; Cho, Min; Cirolia, Giana; Clarke, Michael F; Conley, Stephanie D; Croote, Derek; Darmanis, Spyros; de Morree, Antoine; Demers, Aaron; Demir, Kubilay; DeRisi, Joseph L; Divita, Tessa; du Bois, Haley; Dulgeroff, Laughing Bear Torrez; Ebadi, Hamid; Espinoza, F Hernán; Fish, Matt; Gan, Qiang; Genetiano, Geraldine; George, Benson M; Gillich, Astrid; Green, Foad; Gu, Xueying; Gulati, Gunsagar S; Hang, Yan; Hosseinzadeh, Shayan; Huang, Albin; Huang, Kerwyn Casey; Iram, Tal; Isobe, Taichi; Ives, Feather; Jones, Robert C; Kao, Kevin S; Karkanias, Jim; Karnam, Guruswamy; Kershner, Aaron M; Kim, Seung K; Kiss, Bernhard M; Kong, William; Krasnow, Mark A; Kumar, Maya E; Kuo, Christin S; Lam, Jonathan Y; Lee, Davis P; Lee, Song E; Lehallier, Benoit; Li, Guang; Li, Qingyun; Liu, Ling; Lo, Annie; Lu, Wan-Jin; Manjunath, Anoop; May, Andrew P; May, Kaia L; May, Oliver L; Maynard, Ashley; McKay, Marina; Metzger, Ross J; Mignardi, Marco; Min, Dullei; Nabhan, Ahmad N; Neff, Norma F; Ng, Katharine M; Nguyen, Patricia K; Noh, Joseph; Nusse, Roel; Patkar, Rasika; Peng, Weng Chuan; Penland, Lolita; Pisco, Angela Oliveira; Puccinelli, Robert; Quake, Stephen R; Rando, Thomas A; Rulifson, Eric J; Sikandar, Shaheen S; Sinha, Rahul; Sit, Rene V; Sonnenburg, Justin; Stanley, Geoffrey M; Szade, Krzysztof; Tan, Serena Y; Tan, Weilun; Tato, Cristina; Tellez, Krissie; Travaglini, Kyle J; Tropini, Carolina; van Weele, Linda J; Waldburger, Lucas; Wang, Bruce M; Webber, James T; Weinberg, Kenneth; Weissman, Irving L; Wosczyna, Michael N; Wu, Sean M; Wyss-Coray, Tony; Xiang, Jinyi; Xue, Soso; Youngyunpipatkul, Justin; Yousef, Hanadie; Zanini, Fabio; Zardeneta, Macy E; Zhang, Fan; Zhou, Lu
Here we present a compendium of single-cell transcriptomic data from the model organism Mus musculus that comprises more than 100,000 cells from 20 organs and tissues. These data represent a new resource for cell biology, reveal gene expression in poorly characterized cell populations and enable the direct and controlled comparison of gene expression in cell types that are shared between tissues, such as T lymphocytes and endothelial cells from different anatomical locations. Two distinct technical approaches were used for most organs: one approach, microfluidic droplet-based 3'-end counting, enabled the survey of thousands of cells at relatively low coverage, whereas the other, full-length transcript analysis based on fluorescence-activated cell sorting, enabled the characterization of cell types with high sensitivity and coverage. The cumulative data provide the foundation for an atlas of transcriptomic cell biology.
PMID: 30283141
ISSN: 1476-4687
CID: 5213172