Single cell transcriptics: methods and applications

被引：40

作者：

Kanter, Itamar ^{[1
]}

Kalisky, Tomer ^{[1
]}

机构：

[1] Bar Ilan Univ, Fac Engn, Inst Nanotechnol, IL-5290002 Ramat Gan, Israel

来源：

FRONTIERS IN ONCOLOGY | 2015年 / 5卷

基金：

以色列科学基金会;

关键词：

gene expression; single cell; qPCR; RNA sequencing; FISH; STOCHASTIC GENE-EXPRESSION; RNA-SEQ; STEM-CELLS; CENTRAL DOGMA; REVEALS; NOISE; HETEROGENEITY; MOLECULES; CANCER; VISUALIZATION;

D O I：

10.3389/fonc.2015.00053

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 [肿瘤学];

摘要：

Traditionally, gene expression measurements were performed on "bulk" samples containing populations of thousands of cells. Recent advances in genomic technology have made it possible to measure gene expression in hundreds of individual cells at a time. As a result, cellular properties that were previously masked in "bulk" measurements can now be observed directly. In this review, we will survey emerging technologies for single cell transcriptomics, and describe how they are used to study complex disease such as cancer, as well as other biological phenomena such as tissue regeneration, embryonic development, and immune response.

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