单细胞测序
计算生物学
追踪
核糖核酸
细胞
生物
转录组
计算机科学
生物信息学
遗传学
基因
基因表达
表型
外显子组测序
操作系统
作者
Matthew B. Greenblatt,Noriaki Ono,Ugur M. Ayturk,Shawon Debnath,Sarfaraz Lalani
摘要
ABSTRACT Bone is composed of a complex mixture of many dynamic cell types. Flow cytometry and in vivo lineage tracing have offered early progress toward deconvoluting this heterogeneous mixture of cells into functionally well-defined populations suitable for further studies. Single-cell sequencing is poised as a key complementary technique to better understand the cellular basis of bone metabolism and development. However, single-cell sequencing approaches still have important limitations, including transcriptional effects of cell isolation and sparse sampling of the transcriptome, that must be considered during experimental design and analysis to harness the power of this approach. Accounting for these limitations requires a deep knowledge of the tissue under study. Therefore, with the emergence of accessible tools for conducting and analyzing single-cell RNA sequencing (scRNA-seq) experiments, bone biologists will be ideal leaders in the application of scRNA-seq to the skeleton. Here we provide an overview of the steps involved with a single-cell sequencing analysis of bone, focusing on practical considerations needed for a successful study. © 2019 American Society for Bone and Mineral Research.
科研通智能强力驱动
Strongly Powered by AbleSci AI