当前位置: X-MOL 学术Genome Biol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Decontamination of ambient RNA in single-cell RNA-seq with DecontX
Genome Biology ( IF 12.3 ) Pub Date : 2020-03-05 , DOI: 10.1186/s13059-020-1950-6
Shiyi Yang 1 , Sean E Corbett 1 , Yusuke Koga 1 , Zhe Wang 1 , W Evan Johnson 1 , Masanao Yajima 2 , Joshua D Campbell 1
Affiliation  

Droplet-based microfluidic devices have become widely used to perform single-cell RNA sequencing (scRNA-seq). However, ambient RNA present in the cell suspension can be aberrantly counted along with a cell’s native mRNA and result in cross-contamination of transcripts between different cell populations. DecontX is a novel Bayesian method to estimate and remove contamination in individual cells. DecontX accurately predicts contamination levels in a mouse-human mixture dataset and removes aberrant expression of marker genes in PBMC datasets. We also compare the contamination levels between four different scRNA-seq protocols. Overall, DecontX can be incorporated into scRNA-seq workflows to improve downstream analyses.

中文翻译:

使用 DeconX 在单细胞 RNA-seq 中净化环境 RNA

基于液滴的微流体装置已被广泛用于执行单细胞 RNA 测序 (scRNA-seq)。然而,存在于细胞悬液中的环境 RNA 可能会与细胞的天然 mRNA 一起被异常计数,并导致不同细胞群之间转录物的交叉污染。DeconX 是一种新颖的贝叶斯方法,用于估计和去除单个细胞中的污染。DeconX 准确预测小鼠-人类混合数据集中的污染水平,并去除 PBMC 数据集中标记基因的异常表达。我们还比较了四种不同 scRNA-seq 协议之间的污染水平。总的来说,DecontX 可以整合到 scRNA-seq 工作流程中以改进下游分析。
更新日期:2020-03-05
down
wechat
bug