Suppr超能文献

成年小鼠心肌细胞的单细胞转录谱分析。

Single cell transcriptional profiling of adult mouse cardiomyocytes.

作者信息

Flynn James M, Santana Luis F, Melov Simon

机构信息

Buck Institute for Research on Aging.

出版信息

J Vis Exp. 2011 Dec 28(58):e3302. doi: 10.3791/3302.

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.

摘要

虽然众多研究已检测了心脏组织匀浆中的基因表达变化,但这妨碍了对组织内细胞间固有随机变异的研究。通过对小鼠心脏进行胶原酶灌注来分离纯心肌细胞群体,有助于生成用于全转录组基因表达的单细胞微阵列,或使用纳米流体阵列对特定靶点进行定量聚合酶链反应(qPCR)。我们在此描述一种检测从心脏分离的心肌细胞单细胞基因表达谱的方法。这种模式允许评估不依赖于平均值的感兴趣指标(例如组织内细胞间的差异),而使用传统的全组织工作流程评估基因表达时则无法做到这一点(图1)。我们已实现单细胞转录组的稳健扩增,可产生微克级的双链互补脱氧核糖核酸(cDNA),便于在单个细胞上使用微阵列。在该方法中,我们描述了使用NimbleGen阵列,其因易于使用和能够定制设计而被选用。或者,逆转录酶特异性靶标扩增(RT-STA)反应可通过纳米流体聚合酶链反应对数百个靶点进行定量聚合酶链反应。使用这两种方法中的任何一种,都可以检测细胞间表达的变异性,以及检查组织内稀有细胞类型的表达谱。总体而言,单细胞基因表达方法能够生成数据,这些数据可能识别出特有的表达谱,而在检测来自全组织产生的典型匀浆中数百万细胞的表达时,这些表达谱通常会被平均化。

相似文献

1
Single cell transcriptional profiling of adult mouse cardiomyocytes.
J Vis Exp. 2011 Dec 28(58):e3302. doi: 10.3791/3302.
2
Transcriptome analysis of single cells.
J Vis Exp. 2011 Apr 25(50):2634. doi: 10.3791/2634.
4
Protocol for Single-Nucleus Transcriptomics of Diploid and Tetraploid Cardiomyocytes in Murine Hearts.
STAR Protoc. 2020 Jun 8;1(2):100049. doi: 10.1016/j.xpro.2020.100049. eCollection 2020 Sep 18.
5
Single-Cardiomyocyte RNA Sequencing to Dissect the Molecular Pathophysiology of the Heart.
Methods Mol Biol. 2021;2320:183-192. doi: 10.1007/978-1-0716-1484-6_18.
6
Global and targeted approaches to single-cell transcriptome characterization.
Brief Funct Genomics. 2018 Jul 1;17(4):209-219. doi: 10.1093/bfgp/elx025.
7
Quantitative single cell gene expression profiling in the avian embryo.
Dev Dyn. 2015 Jun;244(6):774-84. doi: 10.1002/dvdy.24274.
9
High-Throughput Single-Cell Real-Time Quantitative PCR Analysis.
Methods Mol Biol. 2019;1979:177-183. doi: 10.1007/978-1-4939-9240-9_11.
10
Gene Expression Analysis by Multiplex Single-Cell RT-PCR.
Methods Mol Biol. 2019;1941:139-154. doi: 10.1007/978-1-4939-9077-1_10.

引用本文的文献

1
Single-cell RNA sequencing in Drosophila: Technologies and applications.
Wiley Interdiscip Rev Dev Biol. 2021 Sep;10(5):e396. doi: 10.1002/wdev.396. Epub 2020 Sep 16.
2
Single-cell gene expression patterns in lupus monocytes independently indicate disease activity, interferon and therapy.
Lupus Sci Med. 2017 Jun 25;4(1):e000202. doi: 10.1136/lupus-2016-000202. eCollection 2017.
3
Ground State Depletion Super-resolution Imaging in Mammalian Cells.
J Vis Exp. 2017 Nov 5(129):56239. doi: 10.3791/56239.
5
6
Isolation and physiological analysis of mouse cardiomyocytes.
J Vis Exp. 2014 Sep 7(91):e51109. doi: 10.3791/51109.
9
Single cell gene expression profiling of cortical osteoblast lineage cells.
Bone. 2013 Mar;53(1):174-81. doi: 10.1016/j.bone.2012.11.043. Epub 2012 Dec 10.

本文引用的文献

1
Single cell transcriptional profiling reveals heterogeneity of human induced pluripotent stem cells.
J Clin Invest. 2011 Mar;121(3):1217-21. doi: 10.1172/JCI44635. Epub 2011 Feb 7.
4
Accurate and objective copy number profiling using real-time quantitative PCR.
Methods. 2010 Apr;50(4):262-70. doi: 10.1016/j.ymeth.2009.12.007. Epub 2010 Jan 6.
5
Nature, nurture, or chance: stochastic gene expression and its consequences.
Cell. 2008 Oct 17;135(2):216-26. doi: 10.1016/j.cell.2008.09.050.
6
A microfluidic processor for gene expression profiling of single human embryonic stem cells.
Lab Chip. 2008 Jan;8(1):68-74. doi: 10.1039/b712116d. Epub 2007 Nov 2.
7
A simple technique for isolating healthy heart cells from mouse models.
J Physiol Sci. 2007 Dec;57(6):327-35. doi: 10.2170/physiolsci.RP010107. Epub 2007 Nov 6.
8
Increased cell-to-cell variation in gene expression in ageing mouse heart.
Nature. 2006 Jun 22;441(7096):1011-4. doi: 10.1038/nature04844.
9
Stochastic gene expression in a single cell.
Science. 2002 Aug 16;297(5584):1183-6. doi: 10.1126/science.1070919.
10
Method for isolation of adult mouse cardiac myocytes for studies of contraction and microfluorimetry.
Am J Physiol. 1996 Sep;271(3 Pt 2):H1250-5. doi: 10.1152/ajpheart.1996.271.3.H1250.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验