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本文引用的文献

1
Single-cell gene expression analysis reveals genetic associations masked in whole-tissue experiments.单细胞基因表达分析揭示了全组织实验中被掩盖的遗传关联。
Nat Biotechnol. 2013 Aug;31(8):748-52. doi: 10.1038/nbt.2642. Epub 2013 Jul 21.
2
Highly multiplexed single-cell analysis of formalin-fixed, paraffin-embedded cancer tissue.福尔马林固定石蜡包埋肿瘤组织的高多重化单细胞分析。
Proc Natl Acad Sci U S A. 2013 Jul 16;110(29):11982-7. doi: 10.1073/pnas.1300136110. Epub 2013 Jul 1.
3
Quantitative single cell and single molecule proteomics for clinical studies.临床研究中的定量单细胞和单分子蛋白质组学。
Curr Opin Biotechnol. 2013 Aug;24(4):745-51. doi: 10.1016/j.copbio.2013.06.001. Epub 2013 Jun 28.
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Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells.单细胞转录组学揭示了免疫细胞中表达和剪接的双峰模式。
Nature. 2013 Jun 13;498(7453):236-40. doi: 10.1038/nature12172. Epub 2013 May 19.
5
Single-cell sequencing in its prime.单细胞测序正处于鼎盛时期。
Nat Biotechnol. 2013 Mar;31(3):211-2. doi: 10.1038/nbt.2523.
6
An Oct4-Sall4-Nanog network controls developmental progression in the pre-implantation mouse embryo.Oct4-Sall4-Nanog 网络控制着着床前小鼠胚胎的发育进程。
Mol Syst Biol. 2013;9:632. doi: 10.1038/msb.2012.65.
7
Genome-wide detection of single-nucleotide and copy-number variations of a single human cell.单个人类细胞中单核苷酸和拷贝数变异的全基因组检测。
Science. 2012 Dec 21;338(6114):1622-6. doi: 10.1126/science.1229164.
8
Progress toward single cell metabolomics.单细胞代谢组学的研究进展。
Curr Opin Biotechnol. 2013 Feb;24(1):95-104. doi: 10.1016/j.copbio.2012.10.021. Epub 2012 Dec 13.
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A systematic evaluation of whole genome amplification of bisulfite-modified DNA.亚硫酸氢盐修饰 DNA 的全基因组扩增的系统评价。
Clin Epigenetics. 2012 Nov 22;4(1):22. doi: 10.1186/1868-7083-4-22.
10
Investigating transcriptional states at single-cell-resolution.在单细胞分辨率下研究转录状态。
Curr Opin Biotechnol. 2013 Feb;24(1):69-78. doi: 10.1016/j.copbio.2012.09.013. Epub 2012 Oct 17.

单细胞基因组学的应用。

The applications of single-cell genomics.

出版信息

Hum Mol Genet. 2013 Oct 15;22(R1):R22-6. doi: 10.1093/hmg/ddt377. Epub 2013 Aug 6.

DOI:10.1093/hmg/ddt377
PMID:23922233
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3782075/
Abstract

We all start out as a single totipotent cell that is programmed to produce a multicellular organism. How do individual cells make those complex developmental switches? How do single cells within a tissue or organ differ, how do they coordinate their actions or go astray in a disease process? These are long-standing and fundamental questions in biology that are now becoming tractable because of advances in microfluidics, DNA amplification and DNA sequencing. Methods for studying single-cell transcriptomes (or at least the polyadenylated mRNA fraction of it) are by far the furthest ahead and reveal remarkable heterogeneity between morphologically identical cells. The analysis of genomic DNA variation is not far behind. The other 'omics' of single cells pose greater technological obstacles, but they are progressing and promise to yield highly integrated large data sets in the near future.

摘要

我们都从一个全能的单细胞开始,这个细胞被编程产生一个多细胞生物。单个细胞如何做出这些复杂的发育转变?组织或器官内的单个细胞如何不同,它们如何协调行动或在疾病过程中出错?这些都是生物学中长期存在的基本问题,现在由于微流控、DNA 扩增和 DNA 测序技术的进步,这些问题开始变得可行。研究单细胞转录组(或至少是其中的聚腺苷酸化 mRNA 部分)的方法目前是最先进的,它揭示了形态相同的细胞之间惊人的异质性。基因组 DNA 变异的分析也紧随其后。单细胞的其他“组学”方法则面临更大的技术障碍,但它们正在取得进展,并有望在不久的将来生成高度集成的大型数据集。