Literature DB >> 21809821

Imaging single-cell signaling dynamics with a deterministic high-density single-cell trap array.

Kwanghun Chung1, Catherine A Rivet, Melissa L Kemp, Hang Lu.   

Abstract

Stochasticity in gene expression, protein or metabolite levels contributes to cell-cell variations, the analysis of which could lead to a better understanding of cellular processes and drug responses. Current technologies are limited in their throughput, resolution (in space, time, and tracking individual cells instead of population average) and the ability to control cellular environment. A few microfluidic tools have been developed to trap and image cells; however, in most designs available to date, there is a compromise among loading efficiency, speed, the ability to trap single cells, and density or number of trapped cells. To meet the needs of single-cell imaging studies, we developed a microfluidic platform for high-throughput capture and imaging of thousands of single cells. The optimized trapping mechanism enables 95% of the traps to be occupied with single cells, with a trap density of 860 traps/mm(2). The dense array allows up to 800 cells to be imaged simultaneously with a 4x objective and a typical camera setup. Capture occurs with low shear and 94% viability after 24 h. This platform is compatible with other upstream microfluidic components for complex cell stimulation patterns, and we show here the ability to measure heterogeneity in calcium oscillatory behavior in genetically identical cells and monitor kinetic cellular response to chemical stimuli.

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Year:  2011        PMID: 21809821      PMCID: PMC3190639          DOI: 10.1021/ac2011153

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  25 in total

Review 1.  Fabrication of microfluidic systems in poly(dimethylsiloxane).

Authors:  J C McDonald; D C Duffy; J R Anderson; D T Chiu; H Wu; O J Schueller; G M Whitesides
Journal:  Electrophoresis       Date:  2000-01       Impact factor: 3.535

2.  Microfluidic device for single-cell analysis.

Authors:  Aaron R Wheeler; William R Throndset; Rebecca J Whelan; Andrew M Leach; Richard N Zare; Yish Hann Liao; Kevin Farrell; Ian D Manger; Antoine Daridon
Journal:  Anal Chem       Date:  2003-07-15       Impact factor: 6.986

3.  Cell handling using microstructured membranes.

Authors:  Daniel Irimia; Mehmet Toner
Journal:  Lab Chip       Date:  2006-02-08       Impact factor: 6.799

4.  Dynamic proteomics of individual cancer cells in response to a drug.

Authors:  A A Cohen; N Geva-Zatorsky; E Eden; M Frenkel-Morgenstern; I Issaeva; A Sigal; R Milo; C Cohen-Saidon; Y Liron; Z Kam; L Cohen; T Danon; N Perzov; U Alon
Journal:  Science       Date:  2008-11-20       Impact factor: 47.728

5.  Large-scale investigation of the olfactory receptor space using a microfluidic microwell array.

Authors:  Xavier A Figueroa; Gregory A Cooksey; Scott V Votaw; Lisa F Horowitz; Albert Folch
Journal:  Lab Chip       Date:  2010-02-10       Impact factor: 6.799

Review 6.  Functional roles for noise in genetic circuits.

Authors:  Avigdor Eldar; Michael B Elowitz
Journal:  Nature       Date:  2010-09-09       Impact factor: 49.962

7.  Transcriptome-wide noise controls lineage choice in mammalian progenitor cells.

Authors:  Hannah H Chang; Martin Hemberg; Mauricio Barahona; Donald E Ingber; Sui Huang
Journal:  Nature       Date:  2008-05-22       Impact factor: 49.962

8.  A microfluidic array for large-scale ordering and orientation of embryos.

Authors:  Kwanghun Chung; Yoosik Kim; Jitendra S Kanodia; Emily Gong; Stanislav Y Shvartsman; Hang Lu
Journal:  Nat Methods       Date:  2010-12-26       Impact factor: 28.547

9.  Temporal switching and cell-to-cell variability in Ca2+ release activity in mammalian cells.

Authors:  Naotoshi Nakamura; Toshiko Yamazawa; Yohei Okubo; Masamitsu Iino
Journal:  Mol Syst Biol       Date:  2009-03-17       Impact factor: 11.429

10.  Microfluidic control of cell pairing and fusion.

Authors:  Alison M Skelley; Oktay Kirak; Heikyung Suh; Rudolf Jaenisch; Joel Voldman
Journal:  Nat Methods       Date:  2009-01-04       Impact factor: 28.547

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  41 in total

1.  A microfluidic trap array for longitudinal monitoring and multi-modal phenotypic analysis of individual stem cell aggregates.

Authors:  E L Jackson-Holmes; T C McDevitt; H Lu
Journal:  Lab Chip       Date:  2017-10-25       Impact factor: 6.799

2.  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

3.  Correlative imaging across microscopy platforms using the fast and accurate relocation of microscopic experimental regions (FARMER) method.

Authors:  Toan Huynh; Matthew K Daddysman; Ying Bao; Alan Selewa; Andrey Kuznetsov; Louis H Philipson; Norbert F Scherer
Journal:  Rev Sci Instrum       Date:  2017-05       Impact factor: 1.523

4.  An integrated microfluidic platform for size-selective single-cell trapping of monocytes from blood.

Authors:  Do-Hyun Lee; Xuan Li; Alan Jiang; Abraham P Lee
Journal:  Biomicrofluidics       Date:  2018-09-19       Impact factor: 2.800

5.  Microfluidic trap array for massively parallel imaging of Drosophila embryos.

Authors:  Thomas J Levario; Mei Zhan; Bomyi Lim; Stanislav Y Shvartsman; Hang Lu
Journal:  Nat Protoc       Date:  2013-03-14       Impact factor: 13.491

6.  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

7.  Block-Cell-Printing for live single-cell printing.

Authors:  Kai Zhang; Chao-Kai Chou; Xiaofeng Xia; Mien-Chie Hung; Lidong Qin
Journal:  Proc Natl Acad Sci U S A       Date:  2014-02-10       Impact factor: 11.205

8.  Concurrent shear stress and chemical stimulation of mechano-sensitive cells by discontinuous dielectrophoresis.

Authors:  Rebecca Soffe; Sara Baratchi; Shi-Yang Tang; Arnan Mitchell; Peter McIntyre; Khashayar Khoshmanesh
Journal:  Biomicrofluidics       Date:  2016-04-04       Impact factor: 2.800

Review 9.  Three-dimensional models for studying development and disease: moving on from organisms to organs-on-a-chip and organoids.

Authors:  E L Jackson; H Lu
Journal:  Integr Biol (Camb)       Date:  2016-05-09       Impact factor: 2.192

10.  Pre-TCR ligand binding impacts thymocyte development before αβTCR expression.

Authors:  Robert J Mallis; Ke Bai; Haribabu Arthanari; Rebecca E Hussey; Maris Handley; Zhenhai Li; Loice Chingozha; Jonathan S Duke-Cohan; Hang Lu; Jia-Huai Wang; Cheng Zhu; Gerhard Wagner; Ellis L Reinherz
Journal:  Proc Natl Acad Sci U S A       Date:  2015-06-08       Impact factor: 11.205

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