Literature DB >> 29697858

Microfluidic Devices in the Fast-Growing Domain of Single-Cell Analysis.

Mashooq Khan1, Sifeng Mao1, Weiwei Li1, Jin-Ming Lin1.   

Abstract

Recent advances in cellular analysis revealed that the seemingly identical cells are heterogeneous in term of functionality, compositions, and genetic performance. These differences cause difficulty in the diagnostic for a specific model of disease. Detection of biomolecules such as DNA, RNA, and protein or analysis of cell(s), detection of cell surface molecules, and secreted protein, can help us to improve the understanding of a targeted disease and development of new diagnostic and therapeutic approaches. A single-cell includes the minute quantity of these target molecules. Microfluidic devices have the ability to capture a single-cell and its lysate into a pico or femtoliter volumes droplet, or micro-well thus preventing dilution and limiting diffusion. In this review we described the advancement and limitations in microfluidic techniques used toward single-cells analysis.
© 2018 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  biochemistry; life sciences; microfluidics; single-cell analysis; tissue dissociation

Mesh:

Year:  2018        PMID: 29697858     DOI: 10.1002/chem.201800305

Source DB:  PubMed          Journal:  Chemistry        ISSN: 0947-6539            Impact factor:   5.236


  3 in total

1.  The FAST Pump, a low-cost, easy to fabricate, SLA-3D-printed peristaltic pump for multi-channel systems in any lab.

Authors:  Alexander Jönsson; Arianna Toppi; Martin Dufva
Journal:  HardwareX       Date:  2020-06-07

2.  Real-Time Imaging of Ammonia Release from Single Live Cells via Liquid Crystal Droplets Immobilized on the Cell Membrane.

Authors:  Mashooq Khan; Weiwei Li; Sifeng Mao; Syed Niaz Ali Shah; Jin-Ming Lin
Journal:  Adv Sci (Weinh)       Date:  2019-08-24       Impact factor: 16.806

Review 3.  Machine learning for microfluidic design and control.

Authors:  David McIntyre; Ali Lashkaripour; Polly Fordyce; Douglas Densmore
Journal:  Lab Chip       Date:  2022-08-09       Impact factor: 7.517

  3 in total

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