Literature DB >> 22231655

Single cell transcriptional profiling of adult mouse cardiomyocytes.

James M Flynn1, Luis F Santana, Simon Melov.   

Abstract

While numerous studies have examined gene expression changes from homogenates of heart tissue, this prevents studying the inherent stochastic variation between cells within a tissue. Isolation of pure cardiomyocyte populations through a collagenase perfusion of mouse hearts facilitates the generation of single cell microarrays for whole transcriptome gene expression, or qPCR of specific targets using nanofluidic arrays. We describe here a procedure to examine single cell gene expression profiles of cardiomyocytes isolated from the heart. This paradigm allows for the evaluation of metrics of interest which are not reliant on the mean (for example variance between cells within a tissue) which is not possible when using conventional whole tissue workflows for the evaluation of gene expression (Figure 1). We have achieved robust amplification of the single cell transcriptome yielding micrograms of double stranded cDNA that facilitates the use of microarrays on individual cells. In the procedure we describe the use of NimbleGen arrays which were selected for their ease of use and ability to customize their design. Alternatively, a reverse transcriptase - specific target amplification (RT-STA) reaction, allows for qPCR of hundreds of targets by nanofluidic PCR. Using either of these approaches, it is possible to examine the variability of expression between cells, as well as examining expression profiles of rare cell types from within a tissue. Overall, the single cell gene expression approach allows for the generation of data that can potentially identify idiosyncratic expression profiles that are typically averaged out when examining expression of millions of cells from typical homogenates generated from whole tissues.

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Year:  2011        PMID: 22231655      PMCID: PMC3369660          DOI: 10.3791/3302

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  10 in total

1.  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

2.  Resolution of cell fate decisions revealed by single-cell gene expression analysis from zygote to blastocyst.

Authors:  Guoji Guo; Mikael Huss; Guo Qing Tong; Chaoyang Wang; Li Li Sun; Neil D Clarke; Paul Robson
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3.  Increased cell-to-cell variation in gene expression in ageing mouse heart.

Authors:  Rumana Bahar; Claudia H Hartmann; Karl A Rodriguez; Ashley D Denny; Rita A Busuttil; Martijn E T Dollé; R Brent Calder; Gary B Chisholm; Brad H Pollock; Christoph A Klein; Jan Vijg
Journal:  Nature       Date:  2006-06-22       Impact factor: 49.962

4.  A simple technique for isolating healthy heart cells from mouse models.

Authors:  Takao Shioya
Journal:  J Physiol Sci       Date:  2007-11-06       Impact factor: 2.781

5.  A microfluidic processor for gene expression profiling of single human embryonic stem cells.

Authors:  Jiang F Zhong; Yan Chen; Joshua S Marcus; Axel Scherer; Stephen R Quake; Clive R Taylor; Leslie P Weiner
Journal:  Lab Chip       Date:  2007-11-02       Impact factor: 6.799

Review 6.  Accurate and objective copy number profiling using real-time quantitative PCR.

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Journal:  Methods       Date:  2010-01-06       Impact factor: 3.608

7.  Single cell transcriptional profiling reveals heterogeneity of human induced pluripotent stem cells.

Authors:  Kazim H Narsinh; Ning Sun; Veronica Sanchez-Freire; Andrew S Lee; Patricia Almeida; Shijun Hu; Taha Jan; Kitchener D Wilson; Denise Leong; Jarrett Rosenberg; Mylene Yao; Robert C Robbins; Joseph C Wu
Journal:  J Clin Invest       Date:  2011-02-07       Impact factor: 14.808

Review 8.  Nature, nurture, or chance: stochastic gene expression and its consequences.

Authors:  Arjun Raj; Alexander van Oudenaarden
Journal:  Cell       Date:  2008-10-17       Impact factor: 41.582

9.  Method for isolation of adult mouse cardiac myocytes for studies of contraction and microfluorimetry.

Authors:  B M Wolska; R J Solaro
Journal:  Am J Physiol       Date:  1996-09

10.  Defining cell populations with single-cell gene expression profiling: correlations and identification of astrocyte subpopulations.

Authors:  Anders Ståhlberg; Daniel Andersson; Johan Aurelius; Maryam Faiz; Marcela Pekna; Mikael Kubista; Milos Pekny
Journal:  Nucleic Acids Res       Date:  2010-11-25       Impact factor: 16.971

  10 in total
  9 in total

1.  Adrenergic Receptors in Individual Ventricular Myocytes: The Beta-1 and Alpha-1B Are in All Cells, the Alpha-1A Is in a Subpopulation, and the Beta-2 and Beta-3 Are Mostly Absent.

Authors:  Bat-Erdene Myagmar; James M Flynn; Patrick M Cowley; Philip M Swigart; Megan D Montgomery; Kevin Thai; Divya Nair; Rumita Gupta; David X Deng; Chihiro Hosoda; Simon Melov; Anthony J Baker; Paul C Simpson
Journal:  Circ Res       Date:  2017-02-20       Impact factor: 17.367

2.  Single cell gene expression profiling of cortical osteoblast lineage cells.

Authors:  James M Flynn; Steven C Spusta; Clifford J Rosen; Simon Melov
Journal:  Bone       Date:  2012-12-10       Impact factor: 4.398

3.  Isolation and culture of adult mouse cardiomyocytes for cell signaling and in vitro cardiac hypertrophy.

Authors:  Daxiang Li; Jian Wu; Yan Bai; Xiaochen Zhao; Lijun Liu
Journal:  J Vis Exp       Date:  2014-05-21       Impact factor: 1.355

4.  Isolation and physiological analysis of mouse cardiomyocytes.

Authors:  Gretchen M Roth; David M Bader; Elise R Pfaltzgraff
Journal:  J Vis Exp       Date:  2014-09-07       Impact factor: 1.355

Review 5.  Single-cell RNA sequencing in Drosophila: Technologies and applications.

Authors:  Hongjie Li
Journal:  Wiley Interdiscip Rev Dev Biol       Date:  2020-09-16       Impact factor: 5.814

6.  "Mix of Mics"- Phenotypic and Biological Heterogeneity of "Multipotent" Muscle Interstitial Cells (MICs).

Authors:  Barbora Malecova; Pier Lorenzo Puri
Journal:  J Stem Cell Res Ther       Date:  2012-10-17

7.  Single-cell gene expression patterns in lupus monocytes independently indicate disease activity, interferon and therapy.

Authors:  Zhongbo Jin; Wei Fan; Mark A Jensen; Jessica M Dorschner; George F Bonadurer; Danielle M Vsetecka; Shreyasee Amin; Ashima Makol; Floranne Ernste; Thomas Osborn; Kevin Moder; Vaidehi Chowdhary; Timothy B Niewold
Journal:  Lupus Sci Med       Date:  2017-06-25

8.  Ground State Depletion Super-resolution Imaging in Mammalian Cells.

Authors:  Rose E Dixon; Oscar Vivas; Karen I Hannigan; Eamonn J Dickson
Journal:  J Vis Exp       Date:  2017-11-05       Impact factor: 1.355

9.  A Simplified, Langendorff-Free Method for Concomitant Isolation of Viable Cardiac Myocytes and Nonmyocytes From the Adult Mouse Heart.

Authors:  Matthew Ackers-Johnson; Peter Yiqing Li; Andrew P Holmes; Sian-Marie O'Brien; Davor Pavlovic; Roger S Foo
Journal:  Circ Res       Date:  2016-08-08       Impact factor: 17.367

  9 in total

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