Literature DB >> 32430227

Microfluidics in Single-Cell Virology: Technologies and Applications.

Wu Liu1, Hongzhang He2, Si-Yang Zheng3.   

Abstract

Microfluidics has proven to be a powerful tool for probing biology at the single-cell level. However, it is only in the past 5 years that single-cell microfluidics has been used in the field of virology. An array of strategies based on microwells, microvalves, and droplets is now available for tracking viral infection dynamics, identifying cell subpopulations with particular phenotypes, as well as high-throughput screening. The insights into the virus-host interactions gained at the single-cell level are unprecedented and usually inaccessible by population-based experiments. Therefore, single-cell microfluidics, which opens new avenues for mechanism elucidation and development of antiviral therapeutics, would be a valuable tool for the study of viral pathogenesis.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  heterogeneity; microfluidics; single-cell analysis; transcriptomic analysis; viral infection dynamics; virology

Mesh:

Year:  2020        PMID: 32430227      PMCID: PMC8942716          DOI: 10.1016/j.tibtech.2020.04.010

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  80 in total

1.  High-throughput microfluidic single-cell analysis pipeline for studies of signaling dynamics.

Authors:  Ryan A Kellogg; Rafael Gómez-Sjöberg; Anne A Leyrat; Savaş Tay
Journal:  Nat Protoc       Date:  2014-06-26       Impact factor: 13.491

Review 2.  Single-cell technologies for monitoring immune systems.

Authors:  Pratip K Chattopadhyay; Todd M Gierahn; Mario Roederer; J Christopher Love
Journal:  Nat Immunol       Date:  2014-02       Impact factor: 25.606

3.  Single-cell activity screening in microfluidic droplets.

Authors:  Stefanie Neun; Tomasz S Kaminski; Florian Hollfelder
Journal:  Methods Enzymol       Date:  2019-08-08       Impact factor: 1.600

4.  Single-Cell Virology: On-Chip Investigation of Viral Infection Dynamics.

Authors:  Feng Guo; Sixing Li; Mehmet Umut Caglar; Zhangming Mao; Wu Liu; Andrew Woodman; Jamie J Arnold; Claus O Wilke; Tony Jun Huang; Craig E Cameron
Journal:  Cell Rep       Date:  2017-11-07       Impact factor: 9.423

Review 5.  Microfluidic Sample Preparation for Single Cell Analysis.

Authors:  Sanjin Hosic; Shashi K Murthy; Abigail N Koppes
Journal:  Anal Chem       Date:  2015-12-03       Impact factor: 6.986

6.  High-Throughput Single-Cell Kinetics of Virus Infections in the Presence of Defective Interfering Particles.

Authors:  Fulya Akpinar; Andrea Timm; John Yin
Journal:  J Virol       Date:  2015-11-25       Impact factor: 5.103

7.  Non-lytic clearance of influenza B virus from infected cells preserves epithelial barrier function.

Authors:  Rebekah E Dumm; Jessica K Fiege; Barbara M Waring; Chay T Kuo; Ryan A Langlois; Nicholas S Heaton
Journal:  Nat Commun       Date:  2019-02-15       Impact factor: 14.919

8.  More than efficacy revealed by single-cell analysis of antiviral therapeutics.

Authors:  Wu Liu; Mehmet U Caglar; Zhangming Mao; Andrew Woodman; Jamie J Arnold; Claus O Wilke; Craig E Cameron
Journal:  Sci Adv       Date:  2019-10-30       Impact factor: 14.136

9.  Single-cell analysis identifies cellular markers of the HIV permissive cell.

Authors:  Sylvie Rato; Antonio Rausell; Miguel Muñoz; Amalio Telenti; Angela Ciuffi
Journal:  PLoS Pathog       Date:  2017-10-26       Impact factor: 6.823

10.  Innate Immune Response to Influenza Virus at Single-Cell Resolution in Human Epithelial Cells Revealed Paracrine Induction of Interferon Lambda 1.

Authors:  Irene Ramos; Gregory Smith; Frederique Ruf-Zamojski; Carles Martínez-Romero; Miguel Fribourg; Edwin A Carbajal; Boris M Hartmann; Venugopalan D Nair; Nada Marjanovic; Paula L Monteagudo; Veronica A DeJesus; Tinaye Mutetwa; Michel Zamojski; Gene S Tan; Ciriyam Jayaprakash; Elena Zaslavsky; Randy A Albrecht; Stuart C Sealfon; Adolfo García-Sastre; Ana Fernandez-Sesma
Journal:  J Virol       Date:  2019-09-30       Impact factor: 5.103

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  5 in total

1.  Fast and precise single-cell data analysis using a hierarchical autoencoder.

Authors:  Duc Tran; Hung Nguyen; Bang Tran; Carlo La Vecchia; Hung N Luu; Tin Nguyen
Journal:  Nat Commun       Date:  2021-02-15       Impact factor: 14.919

2.  Modeling poliovirus replication dynamics from live time-lapse single-cell imaging data.

Authors:  Ashley I Teufel; Wu Liu; Jeremy A Draghi; Craig E Cameron; Claus O Wilke
Journal:  Sci Rep       Date:  2021-05-05       Impact factor: 4.996

3.  Focusing of Particles in a Microchannel with Laser Engraved Groove Arrays.

Authors:  Tianlong Zhang; Yigang Shen; Ryota Kiya; Dian Anggraini; Tao Tang; Hanaka Uno; Kazunori Okano; Yo Tanaka; Yoichiroh Hosokawa; Ming Li; Yaxiaer Yalikun
Journal:  Biosensors (Basel)       Date:  2021-08-04

4.  Individual bacteria in structured environments rely on phenotypic resistance to phage.

Authors:  Erin L Attrill; Rory Claydon; Urszula Łapińska; Mario Recker; Sean Meaden; Aidan T Brown; Edze R Westra; Sarah V Harding; Stefano Pagliara
Journal:  PLoS Biol       Date:  2021-10-12       Impact factor: 8.029

Review 5.  Methods and platforms for analysis of nucleic acids from single-cell based on microfluidics.

Authors:  Luyao Liu; Xiaobin Dong; Yunping Tu; Guijun Miao; Zhongping Zhang; Lulu Zhang; Zewen Wei; Duli Yu; Xianbo Qiu
Journal:  Microfluid Nanofluidics       Date:  2021-09-22       Impact factor: 2.529

  5 in total

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