Literature DB >> 27025767

Droplet-based microfluidics in drug discovery, transcriptomics and high-throughput molecular genetics.

Nachiket Shembekar1, Chawaree Chaipan1, Ramesh Utharala1, Christoph A Merten1.   

Abstract

Droplet-based microfluidics enables assays to be carried out at very high throughput (up to thousands of samples per second) and enables researchers to work with very limited material, such as primary cells, patient's biopsies or expensive reagents. An additional strength of the technology is the possibility to perform large-scale genotypic or phenotypic screens at the single-cell level. Here we critically review the latest developments in antibody screening, drug discovery and highly multiplexed genomic applications such as targeted genetic workflows, single-cell RNAseq and single-cell ChIPseq. Starting with a comprehensive introduction for non-experts, we pinpoint current limitations, analyze how they might be overcome and give an outlook on exciting future applications.

Entities:  

Mesh:

Year:  2016        PMID: 27025767     DOI: 10.1039/c6lc00249h

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  68 in total

1.  Functional TCR T cell screening using single-cell droplet microfluidics.

Authors:  Aude I Segaliny; Guideng Li; Lingshun Kong; Ci Ren; Xiaoming Chen; Jessica K Wang; David Baltimore; Guikai Wu; Weian Zhao
Journal:  Lab Chip       Date:  2018-12-04       Impact factor: 6.799

Review 2.  Droplet microfluidics for high-sensitivity and high-throughput detection and screening of disease biomarkers.

Authors:  Aniruddha M Kaushik; Kuangwen Hsieh; Tza-Huei Wang
Journal:  Wiley Interdiscip Rev Nanomed Nanobiotechnol       Date:  2018-05-24

3.  An acoustofluidic platform for non-contact trapping of cell-laden hydrogel droplets compatible with optical microscopy.

Authors:  Anna Fornell; Carl Johannesson; Sean S Searle; Axel Happstadius; Johan Nilsson; Maria Tenje
Journal:  Biomicrofluidics       Date:  2019-07-11       Impact factor: 2.800

4.  micrIO: an open-source autosampler and fraction collector for automated microfluidic input-output.

Authors:  Scott A Longwell; Polly M Fordyce
Journal:  Lab Chip       Date:  2019-11-08       Impact factor: 6.799

5.  Microfluidic modeling of the biophysical microenvironment in tumor cell invasion.

Authors:  Yu Ling Huang; Jeffrey E Segall; Mingming Wu
Journal:  Lab Chip       Date:  2017-09-26       Impact factor: 6.799

Review 6.  Microfluidic single-cell analysis-Toward integration and total on-chip analysis.

Authors:  Cheuk Wang Fung; Shek Nga Chan; Angela Ruohao Wu
Journal:  Biomicrofluidics       Date:  2020-03-06       Impact factor: 2.800

Review 7.  Leveraging advances in biology to design biomaterials.

Authors:  Max Darnell; David J Mooney
Journal:  Nat Mater       Date:  2017-11-24       Impact factor: 43.841

8.  Enhanced sample filling and discretization in thermoplastic 2D microwell arrays using asymmetric contact angles.

Authors:  S Padmanabhan; J Y Han; I Nanayankkara; K Tran; P Ho; N Mesfin; I White; D L DeVoe
Journal:  Biomicrofluidics       Date:  2020-02-18       Impact factor: 2.800

9.  Quantifying phenotypes in single cells using droplet microfluidics.

Authors:  Fengjiao Lyu; Lucas R Blauch; Sindy K Y Tang
Journal:  Methods Cell Biol       Date:  2018-10-25       Impact factor: 1.441

10.  Generation of Size-controlled Poly (ethylene Glycol) Diacrylate Droplets via Semi-3-Dimensional Flow Focusing Microfluidic Devices.

Authors:  Yan Wu; Xiang Qian; Shengli Mi; Min Zhang; Shuqing Sun; Xiaohao Wang
Journal:  J Vis Exp       Date:  2018-07-03       Impact factor: 1.355

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