Literature DB >> 27194954

A microfluidic approach to parallelized transcriptional profiling of single cells.

Hao Sun1, Timothy Olsen2, Jing Zhu2, Jianguo Tao3, Brian Ponnaiya4, Sally A Amundson4, David J Brenner4, Qiao Lin2.   

Abstract

The ability to correlate single-cell genetic information with cellular phenotypes is of great importance to biology and medicine, as it holds the potential to gain insight into disease pathways that is unavailable from ensemble measurements. We present a microfluidic approach to parallelized, rapid, quantitative analysis of messenger RNA from single cells via RT-qPCR. The approach leverages an array of single-cell RT-qPCR analysis units formed by a set of parallel microchannels concurrently controlled by elastomeric pneumatic valves, thereby enabling parallelized handling and processing of single cells in a drastically simplified operation procedure using a relatively small number of microvalves. All steps for single-cell RT-qPCR, including cell isolation and immobilization, cell lysis, mRNA purification, reverse transcription and qPCR, are integrated on a single chip, eliminating the need for off-chip manual cell and reagent transfer and qPCR amplification as commonly used in existing approaches. Additionally, the approach incorporates optically transparent microfluidic components to allow monitoring of single-cell trapping without the need for molecular labeling that can potentially alter the targeted gene expression and utilizes a polycarbonate film as a barrier against evaporation to minimize the loss of reagents at elevated temperatures during the analysis. We demonstrate the utility of the approach by the transcriptional profiling for the induction of the cyclin-dependent kinase inhibitor 1a and the glyceraldehyde 3-phosphate dehydrogenase in single cells from the MCF-7 breast cancer cell line. Furthermore, the methyl methanesulfonate is employed to allow measurement of the expression of the genes in individual cells responding to a genotoxic stress.

Entities:  

Keywords:  Integrated transcriptional profiling; Microfluidics; Parallelized RT-qPCR; Single-cell analysis

Year:  2015        PMID: 27194954      PMCID: PMC4868186          DOI: 10.1007/s10404-015-1657-2

Source DB:  PubMed          Journal:  Microfluid Nanofluidics        ISSN: 1613-4982            Impact factor:   2.529


  32 in total

1.  Assumption-free analysis of quantitative real-time polymerase chain reaction (PCR) data.

Authors:  Christian Ramakers; Jan M Ruijter; Ronald H Lekanne Deprez; Antoon F M Moorman
Journal:  Neurosci Lett       Date:  2003-03-13       Impact factor: 3.046

2.  Massively parallel single-molecule and single-cell emulsion reverse transcription polymerase chain reaction using agarose droplet microfluidics.

Authors:  Huifa Zhang; Gareth Jenkins; Yuan Zou; Zhi Zhu; Chaoyong James Yang
Journal:  Anal Chem       Date:  2012-04-04       Impact factor: 6.986

3.  Microfluidic very large scale integration (mVLSI) with integrated micromechanical valves.

Authors:  Ismail Emre Araci; Stephen R Quake
Journal:  Lab Chip       Date:  2012-06-19       Impact factor: 6.799

4.  Integrated microfluidic tmRNA purification and real-time NASBA device for molecular diagnostics.

Authors:  Ivan K Dimov; Jose L Garcia-Cordero; Justin O'Grady; Claus R Poulsen; Caroline Viguier; Lorcan Kent; Paul Daly; Bryan Lincoln; Majella Maher; Richard O'Kennedy; Terry J Smith; Antonio J Ricco; Luke P Lee
Journal:  Lab Chip       Date:  2008-10-24       Impact factor: 6.799

5.  Quantifying genetically inserted fluorescent protein in single iPS cells to monitor Nanog expression using electroactive microchamber arrays.

Authors:  Soo Hyeon Kim; Xiaoming He; Shohei Kaneda; Jiro Kawada; Dominique Fourmy; Hiroyuki Noji; Teruo Fujii
Journal:  Lab Chip       Date:  2014-02-21       Impact factor: 6.799

6.  Microfluidic whole genome amplification device for single cell sequencing.

Authors:  Zhilong Yu; Sijia Lu; Yanyi Huang
Journal:  Anal Chem       Date:  2014-09-22       Impact factor: 6.986

Review 7.  Single-cell technologies for monitoring immune systems.

Authors:  Pratip K Chattopadhyay; Todd M Gierahn; Mario Roederer; J Christopher Love
Journal:  Nat Immunol       Date:  2014-02       Impact factor: 25.606

8.  Transcriptional profiling of cells sorted by RNA abundance.

Authors:  Sandy Klemm; Stefan Semrau; Kay Wiebrands; Dylan Mooijman; Dina A Faddah; Rudolf Jaenisch; Alexander van Oudenaarden
Journal:  Nat Methods       Date:  2014-03-30       Impact factor: 28.547

9.  Quantitative telomerase enzyme activity determination using droplet digital PCR with single cell resolution.

Authors:  Andrew T Ludlow; Jerome D Robin; Mohammed Sayed; Claudia M Litterst; Dawne N Shelton; Jerry W Shay; Woodring E Wright
Journal:  Nucleic Acids Res       Date:  2014-05-26       Impact factor: 16.971

10.  Low-coverage single-cell mRNA sequencing reveals cellular heterogeneity and activated signaling pathways in developing cerebral cortex.

Authors:  Alex A Pollen; Tomasz J Nowakowski; Joe Shuga; Xiaohui Wang; Anne A Leyrat; Jan H Lui; Nianzhen Li; Lukasz Szpankowski; Brian Fowler; Peilin Chen; Naveen Ramalingam; Gang Sun; Myo Thu; Michael Norris; Ronald Lebofsky; Dominique Toppani; Darnell W Kemp; Michael Wong; Barry Clerkson; Brittnee N Jones; Shiquan Wu; Lawrence Knutsson; Beatriz Alvarado; Jing Wang; Lesley S Weaver; Andrew P May; Robert C Jones; Marc A Unger; Arnold R Kriegstein; Jay A A West
Journal:  Nat Biotechnol       Date:  2014-08-03       Impact factor: 54.908

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  3 in total

1.  A Microchip for Integrated Single-Cell Gene Expression Profiling and Genotoxicity Detection.

Authors:  Hui Dong; Hao Sun
Journal:  Sensors (Basel)       Date:  2016-09-14       Impact factor: 3.576

2.  An Integrated Preprocessing Approach for Exploring Single-Cell Gene Expression in Rare Cells.

Authors:  Junyi Shang; David Welch; Manuela Buonanno; Brian Ponnaiya; Guy Garty; Timothy Olsen; Sally A Amundson; Qiao Lin
Journal:  Sci Rep       Date:  2019-12-24       Impact factor: 4.379

Review 3.  Microfluidic Compartmentalization Platforms for Single Cell Analysis.

Authors:  Xuhao Luo; Jui-Yi Chen; Marzieh Ataei; Abraham Lee
Journal:  Biosensors (Basel)       Date:  2022-01-21
  3 in total

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