Literature DB >> 21614137

Microfluidic Device for Capture and Isolation of Single Cells.

Alexander P Hsiao1, Kristopher D Barbee, Xiaohua Huang.   

Abstract

We describe a microfluidic device capable of trapping, isolating, and lysing individual cells in parallel using dielectrophoretic forces and a system of PDMS channels and valves. The device consists of a glass substrate patterned with electrodes and two PDMS layers comprising of the microfluidic channels and valve control channels. Individual cells are captured by positive dielectrophoresis using the microfabricated electrode pairs. The cells are then isolated into nanoliter compartments using pneumatically actuated PDMS valves. Following isolation, the cells are lysed open by applying an electric field using the same electrode pairs. With the ability to capture and compartmentalize single cells our device may be combined with analytical methods for in situ molecular analysis of cellular components from single cells in a highly parallel manner.

Entities:  

Year:  2010        PMID: 21614137      PMCID: PMC3100169          DOI: 10.1117/12.861563

Source DB:  PubMed          Journal:  Proc SPIE Int Soc Opt Eng        ISSN: 0277-786X


  24 in total

1.  Monolithic microfabricated valves and pumps by multilayer soft lithography.

Authors:  M A Unger; H P Chou; T Thorsen; A Scherer; S R Quake
Journal:  Science       Date:  2000-04-07       Impact factor: 47.728

Review 2.  Gene expression and the myth of the average cell.

Authors:  Jeffrey M Levsky; Robert H Singer
Journal:  Trends Cell Biol       Date:  2003-01       Impact factor: 20.808

3.  Stochastic gene expression in a single cell.

Authors:  Michael B Elowitz; Arnold J Levine; Eric D Siggia; Peter S Swain
Journal:  Science       Date:  2002-08-16       Impact factor: 47.728

4.  Simultaneously monitoring gene expression kinetics and genetic noise in single cells by optical well arrays.

Authors:  Yina Kuang; Israel Biran; David R Walt
Journal:  Anal Chem       Date:  2004-11-01       Impact factor: 6.986

5.  Counting low-copy number proteins in a single cell.

Authors:  Bo Huang; Hongkai Wu; Devaki Bhaya; Arthur Grossman; Sebastien Granier; Brian K Kobilka; Richard N Zare
Journal:  Science       Date:  2007-01-05       Impact factor: 47.728

6.  Stochastic protein expression in individual cells at the single molecule level.

Authors:  Long Cai; Nir Friedman; X Sunney Xie
Journal:  Nature       Date:  2006-03-16       Impact factor: 49.962

7.  Integrating whole transcriptome assays on a lab-on-a-chip for single cell gene profiling.

Authors:  N Bontoux; L Dauphinot; T Vitalis; V Studer; Y Chen; J Rossier; M-C Potier
Journal:  Lab Chip       Date:  2008-01-31       Impact factor: 6.799

8.  nDEP microwells for single-cell patterning in physiological media.

Authors:  Nikhil Mittal; Adam Rosenthal; Joel Voldman
Journal:  Lab Chip       Date:  2007-07-10       Impact factor: 6.799

9.  Negative DEP traps for single cell immobilisation.

Authors:  Rupert S Thomas; Hywel Morgan; Nicolas G Green
Journal:  Lab Chip       Date:  2009-03-06       Impact factor: 6.799

10.  Lab-on-a-chip technologies for proteomic analysis from isolated cells.

Authors:  H Sedgwick; F Caron; P B Monaghan; W Kolch; J M Cooper
Journal:  J R Soc Interface       Date:  2008-10-06       Impact factor: 4.118

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  4 in total

1.  Differentiation of Escherichia coli serotypes using DC gradient insulator dielectrophoresis.

Authors:  Paul V Jones; Alexa F DeMichele; LaKeta Kemp; Mark A Hayes
Journal:  Anal Bioanal Chem       Date:  2013-11-08       Impact factor: 4.142

2.  Microfluidics-based laser cell-micropatterning system.

Authors:  Nick Erdman; Lucas Schmidt; Wan Qin; Xiaoqi Yang; Yongliang Lin; Mauris N DeSilva; Bruce Z Gao
Journal:  Biofabrication       Date:  2014-09       Impact factor: 9.954

Review 3.  Leveraging single-cell sequencing to unravel intratumour heterogeneity and tumour evolution in human cancers.

Authors:  Amy L Bowes; Maxime Tarabichi; Nischalan Pillay; Peter Van Loo
Journal:  J Pathol       Date:  2022-05-23       Impact factor: 9.883

4.  RNA analysis based on a small number of manually isolated fixed cells (RNA-snMIFxC) to profile stem cells from human deciduous tooth-derived dental pulp cells.

Authors:  Emi Inada; Issei Saitoh; Naoko Kubota; Yoko Iwase; Yuki Kiyokawa; Hirofumi Noguchi; Youichi Yamasaki; Masahiro Sato
Journal:  Biol Proced Online       Date:  2021-06-11       Impact factor: 3.244

  4 in total

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