期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

单细胞转录组分析研究进展 被引量：12

Recent progresses in single-cell transcriptome analysis
原文传递
导出
摘要 目前常规的转录组分析方法无法揭示单个细胞之间基因表达的异质性,也难以对极少量细胞进行分析,单细胞转录组分析技术为此提供了有效的研究工具。对单细胞转录组分析技术的历史、发展、策略、方法和应用进行综述。 Standard transcriptome analysis approaches are not able to uncover gene expression heterogeneity among individual cells, nor can they analyze a small number of cells. Single-cell transcriptome analysis approaches provide powerful tools for these purposes. In this review, we discussed the history, recent progresses, strategies, methods and applications of single-cell transcriptome analysis.
作者 文路 汤富酬
机构地区 北京大学生命科学学院生物动态光学成像中心教育部细胞增殖与分化重点实验室
出处 《生命科学》 CSCD 2014年第3期228-233,共6页 Chinese Bulletin of Life Sciences
基金 国家自然科学基金项目(31271543)
关键词 单细胞分析 转录组 异质性 高通量测序 single-cell analysis transcriptome heterogeneity high-throughput sequencing
分类号 Q786 [生物学—分子生物学]
  • 相关文献

参考文献36

  • 1Chambers I, Silva J, Colby D, et al. Nanog safeguards pluripotency and mediates germline development. Nature, 2007, 450(7173): 1230-4.
  • 2Singh AM, Hamazaki T, Hankowski KE, et al. A heterogeneous expression pattern for Nanog in embryonic stem cells. Stem Cells, 2007, 25(10): 2534-42.
  • 3Chang HH, Hemberg M, Barahona M, et al. Transcriptome- wide noise controls lineage choice in mammalian progenitor cells. Nature, 2008, 453(7194): 544-7.
  • 4Hayashi K, Lopes SM, Tang F, et al. Dynamic equilibrium and heterogeneity of mouse pluripotent stem cells with distinct functional and epigenetic states. Cell Stem Cell, 2008, 3(4): 391-401.
  • 5Raj A, van Oudenaarden A. Nature, nurture, or chance: stochastic gene expression and its consequences. Cell, 2008, 135(2): 216-26.
  • 6Eldar A, Elowitz MB. Functional roles for noise in genetic circuits. Nature, 2010, 467(7312): 167-73.
  • 7Li L, Clevers H. Coexistence of quiescent and active adult stem cells in mammals. Science, 2010, 327(5965): 542-5.
  • 8Li GW, Xie XS. Central dogma at the single-molecule level in living cells. Nature, 2011, 475(7356): 308-15.
  • 9Gupta PB, Fillmore CM, Jiang G, et al. Stochastic state transitions give rise to phenotypic equilibrium in populations of cancer cells. Cell, 2011, 146(4): 633-44.
  • 10Roccio M, Sehmitter D, Knobloch M, et al. Predicting stem cell fate changes by differential cell cycle progression patterns. Development, 2013, 140(2): 459-70.

同被引文献125

  • 1周子茗,郭国骥.细胞图谱:解码人体基本单元的奥秘[J].科学,2020(4):30-32. 被引量：2
  • 2叶安培,张勇,宋清宝,闻丞.“光镊Raman光谱”与单细胞检测[J].生物物理学报,2009,0(S1):307-308. 被引量：1
  • 3程介克,黄卫华,王宗礼.单细胞分析的研究[J].色谱,2007,25(1):1-10. 被引量：4
  • 4刘维瑜,金春莲.多重置换扩增——一种新的全基因组扩增技术[J].国际遗传学杂志,2007,30(4):265-268. 被引量：8
  • 5Wang Z, Gerstein M, Snyder M. RNA-Seq: a revolu- tionary tool for transcriptomics. Nat Rev Genet, 2009, 10(1): 57-63.
  • 6Kalisky T, Blainey P, Quake SR. Genomic analysis at the single-cell level. Annu Rev Genet, 2011, 45:431-445.
  • 7Huang S. Non-genetic heterogeneity of cells in develop- ment: more than just noise. Development, 2009, 136(23): 3853-3862.
  • 8Tang F, Lao K, Surani MA. Development and applications of single-cell transcriptome analysis. Nat Methods, 2011, 8(Suppl.4): S6-S11.
  • 9Brady G, Barbara M, Iscove NN. Representative in vitro cDNA amplification from individual hemopoietic cells and colonies. Methods Mol Cell Biol, 1990, 2: 17-25.
  • 10Tang FC, Barbacioru C, Wang YZ, Nordman E, Lee C, Xu NL, Wang XH, Bodeau J, Tuch BB, Siddiqui A, Lao KQ, Surani MA. mRNA-Seq whole-transcriptome analysis of a single cell. Nat Methods, 2009, 6(5): 377-382.

引证文献12

二级引证文献27

生命科学
2014年 第3期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部