Literature DB >> 22133547

Microfluidics for single cell analysis.

Huabing Yin1, Damian Marshall.   

Abstract

Substantial evidence shows that the heterogeneity of individual cells within a genetically identical population can be critical to their chance of survival. Methods that use average responses from a population often mask the difference from individual cells. To fully understand cell-to-cell variability, a complete analysis of an individual cell, from its live state to cell lysates, is essential. Highly sensitive detection of multiple components and high throughput analysis of a large number of individual cells remain the key challenges to realise this aim. In this context, microfluidics and lab-on-a-chip technology have emerged as the most promising avenue to address these challenges. In this review, we will focus on the recent development in microfluidics that are aimed at total single cell analysis on chip, that is, from an individual live cell to its gene and proteins. We also discuss the opportunities that microfluidic based single cell analysis can bring into the drug discovery process.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22133547     DOI: 10.1016/j.copbio.2011.11.002

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  75 in total

1.  Maximum Caliber Can Build and Infer Models of Oscillation in a Three-Gene Feedback Network.

Authors:  Taylor Firman; Anar Amgalan; Kingshuk Ghosh
Journal:  J Phys Chem B       Date:  2019-01-09       Impact factor: 2.991

2.  High-throughput protease activity cytometry reveals dose-dependent heterogeneity in PMA-mediated ADAM17 activation.

Authors:  Lidan Wu; Allison M Claas; Aniruddh Sarkar; Douglas A Lauffenburger; Jongyoon Han
Journal:  Integr Biol (Camb)       Date:  2015-04-02       Impact factor: 2.192

Review 3.  Molecular neuroanatomy: a generation of progress.

Authors:  Jonathan D Pollock; Da-Yu Wu; John S Satterlee
Journal:  Trends Neurosci       Date:  2013-12-31       Impact factor: 13.837

4.  Single cell-laden protease-sensitive microniches for long-term culture in 3D.

Authors:  Philipp S Lienemann; Torsten Rossow; Angelo S Mao; Queralt Vallmajo-Martin; Martin Ehrbar; David J Mooney
Journal:  Lab Chip       Date:  2017-02-14       Impact factor: 6.799

Review 5.  Rare cell isolation and analysis in microfluidics.

Authors:  Yuchao Chen; Peng Li; Po-Hsun Huang; Yuliang Xie; John D Mai; Lin Wang; Nam-Trung Nguyen; Tony Jun Huang
Journal:  Lab Chip       Date:  2014-02-21       Impact factor: 6.799

6.  Multiplexed locus-specific analysis of DNA methylation in single cells.

Authors:  Lih Feng Cheow; Stephen R Quake; William F Burkholder; Daniel M Messerschmidt
Journal:  Nat Protoc       Date:  2015-03-26       Impact factor: 13.491

7.  A microfluidic device enabling high-efficiency single cell trapping.

Authors:  D Jin; B Deng; J X Li; W Cai; L Tu; J Chen; Q Wu; W H Wang
Journal:  Biomicrofluidics       Date:  2015-01-07       Impact factor: 2.800

8.  Development of an advanced microfluidic micropipette aspiration device for single cell mechanics studies.

Authors:  Lap Man Lee; Jin Woo Lee; Danielle Chase; Daniel Gebrezgiabhier; Allen P Liu
Journal:  Biomicrofluidics       Date:  2016-09-20       Impact factor: 2.800

Review 9.  Cell armor for protection against environmental stress: Advances, challenges and applications in micro- and nanoencapsulation of mammalian cells.

Authors:  Onur Hasturk; David L Kaplan
Journal:  Acta Biomater       Date:  2018-11-24       Impact factor: 8.947

10.  A microfluidic approach to parallelized transcriptional profiling of single cells.

Authors:  Hao Sun; Timothy Olsen; Jing Zhu; Jianguo Tao; Brian Ponnaiya; Sally A Amundson; David J Brenner; Qiao Lin
Journal:  Microfluid Nanofluidics       Date:  2015-10-14       Impact factor: 2.529

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