Using single-cell multiple omics approaches to resolve tumor heterogeneity.
Using single-cell multiple omics approaches to resolve tumor heterogeneity.
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DOI：
10.1186/s40169-017-0177-y
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发表时间：
2017-12-28
影响因子：
10.6
通讯作者：
Garmire LX
中科院分区：
文献类型：
--
作者：
Ortega MA;Poirion O;Zhu X;Huang S;Wolfgruber TK;Sebra R;Garmire LX
越来越清楚的是，正常组织和癌组织都是由异质群体组成的。遗传变异可以归因于遗传突变、环境因素或转录和复制中不准确解决的错误的下游效应。当病变发生在赋予增殖优势的区域时，它可以支持克隆扩增、亚克隆变异和肿瘤进展。以这种方式，肿瘤的复杂异质微环境促进血管生成和转移的可能性。下一代测序和计算生物学的最新进展已经利用单细胞应用来构建个体细胞的深度分布，否则这些细胞在批量分布中被掩盖。此外，用于结合单细胞多组学策略的新技术的开发提供了对有助于细胞身份，功能和生长的因素的更精确的理解。单细胞技术和数据的计算去卷积的持续进步对于重建患者特定的肿瘤内特征和开发更个性化的癌症治疗至关重要。
It has become increasingly clear that both normal and cancer tissues are composed of heterogeneous populations. Genetic variation can be attributed to the downstream effects of inherited mutations, environmental factors, or inaccurately resolved errors in transcription and replication. When lesions occur in regions that confer a proliferative advantage, it can support clonal expansion, subclonal variation, and neoplastic progression. In this manner, the complex heterogeneous microenvironment of a tumour promotes the likelihood of angiogenesis and metastasis. Recent advances in next-generation sequencing and computational biology have utilized single-cell applications to build deep profiles of individual cells that are otherwise masked in bulk profiling. In addition, the development of new techniques for combining single-cell multi-omic strategies is providing a more precise understanding of factors contributing to cellular identity, function, and growth. Continuing advancements in single-cell technology and computational deconvolution of data will be critical for reconstructing patient specific intra-tumour features and developing more personalized cancer treatments.
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影响因子：
14.8
作者：
Anchang, Benedict;Hart, Tom D. P.;Plevritis, Sylvia K.
通讯作者：
Plevritis, Sylvia K.
影响因子：
48
作者：
Angermueller C;Clark SJ;Lee HJ;Macaulay IC;Teng MJ;Hu TX;Krueger F;Smallwood S;Ponting CP;Voet T;Kelsey G;Stegle O;Reik W
通讯作者：
Reik W
DOI：
10.1126/science.1198704
发表时间：
2011-05-06
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Bendall SC;Simonds EF;Qiu P;Amir el-AD;Krutzik PO;Finck R;Bruggner RV;Melamed R;Trejo A;Ornatsky OI;Balderas RS;Plevritis SK;Sachs K;Pe'er D;Tanner SD;Nolan GP
通讯作者：
Nolan GP
影响因子：
17.3
作者：
Bock C;Farlik M;Sheffield NC
通讯作者：
Sheffield NC
影响因子：
30.8
作者：
Gao, Ruli;Davis, Alexander;McDonald, Thomas O.;Sei, Emi;Shi, Xiuqing;Wang, Yong;Tsai, Pei-Ching;Casasent, Anna;Waters, Jill;Zhang, Hong;Meric-Bernstam, Funda;Michor, Franziska;Navin, Nicholas E.
通讯作者：
Navin, Nicholas E.