Suppr超能文献

单细胞多组学:来自单细胞的多重测量

Single-Cell Multiomics: Multiple Measurements from Single Cells.

作者信息

Macaulay Iain C, Ponting Chris P, Voet Thierry

机构信息

Earlham Institute, Norwich Research Park, Norwich NR4 7UH, UK.

Sanger Institute - EBI Single-Cell Genomics Centre, Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK; MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Crewe Road, Edinburgh EH4 2XU, UK.

出版信息

Trends Genet. 2017 Feb;33(2):155-168. doi: 10.1016/j.tig.2016.12.003. Epub 2017 Jan 13.

Abstract

Single-cell sequencing provides information that is not confounded by genotypic or phenotypic heterogeneity of bulk samples. Sequencing of one molecular type (RNA, methylated DNA or open chromatin) in a single cell, furthermore, provides insights into the cell's phenotype and links to its genotype. Nevertheless, only by taking measurements of these phenotypes and genotypes from the same single cells can such inferences be made unambiguously. In this review, we survey the first experimental approaches that assay, in parallel, multiple molecular types from the same single cell, before considering the challenges and opportunities afforded by these and future technologies.

摘要

单细胞测序提供的信息不会受到大量样本的基因型或表型异质性的干扰。此外,对单个细胞中的一种分子类型(RNA、甲基化DNA或开放染色质)进行测序,能够深入了解细胞的表型及其与基因型的联系。然而,只有通过对同一单个细胞的这些表型和基因型进行测量,才能明确地做出此类推断。在本综述中,我们先概述了首批能够同时检测同一单个细胞中多种分子类型的实验方法,然后再探讨这些技术以及未来技术所带来的挑战和机遇。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2797/5303816/0f006e058ec6/gr1.jpg

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