Decontamination of ambient RNA in single-cell RNA-seq with DecontX

被引:0
|
作者
Shiyi Yang
Sean E. Corbett
Yusuke Koga
Zhe Wang
W Evan Johnson
Masanao Yajima
Joshua D. Campbell
机构
[1] Boston University School of Medicine,Division of Computational Biomedicine, Department of Medicine
[2] Boston University,Department of Mathematics & Statistics
来源
关键词
Bayesian mixture model; Decontamination; Single cell; scRNA-seq;
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
相关论文
共 50 条
  • [31] Quality control of single-cell RNA-seq by SinQC
    Jiang, Peng
    Thomson, James A.
    Stewart, Ron
    BIOINFORMATICS, 2016, 32 (16) : 2514 - 2516
  • [32] Single-Cell RNA-Seq in Human Lung Cancer
    Kim, J.
    Xu, Z.
    Marignani, P.
    JOURNAL OF THORACIC ONCOLOGY, 2018, 13 (10) : S911 - S911
  • [33] The Advances of Single-Cell RNA-Seq in Kidney Immunology
    Zeng, Honghui
    Yang, Xiaoqiang
    Luo, Siweier
    Zhou, Yiming
    FRONTIERS IN PHYSIOLOGY, 2021, 12
  • [34] Comparison of transformations for single-cell RNA-seq data
    Ahlmann-Eltze, Constantin
    Huber, Wolfgang
    NATURE METHODS, 2023, 20 (05) : 665 - +
  • [35] SINGLE-CELL ANALYSIS From single-cell RNA-seq to transcriptional regulation
    La Manno, Gioele
    NATURE BIOTECHNOLOGY, 2019, 37 (12) : 1421 - 1422
  • [36] Unsupervised cell functional annotation for single-cell RNA-seq
    Li, Dongshunyi
    Ding, Jun
    Bar-Joseph, Ziv
    GENOME RESEARCH, 2022, 32 (09) : 1765 - 1775
  • [37] Single-Cell RNA-Seq Reveals Hypothalamic Cell Diversity
    Chen, Renchao
    Wu, Xiaoji
    Jiang, Lan
    Zhang, Yi
    CELL REPORTS, 2017, 18 (13): : 3227 - 3241
  • [38] Bubble: a fast single-cell RNA-seq imputation using an autoencoder constrained by bulk RNA-seq data
    Chen, Siqi
    Yan, Xuhua
    Zheng, Ruiqing
    Li, Min
    BRIEFINGS IN BIOINFORMATICS, 2023, 24 (01)
  • [39] Yeast Single-cell RNA-seq, Cell by Cell and Step by Step
    Nadal-Ribelles, Mariona
    Islam, Saiful
    Wei, Wu
    Latorre, Pablo
    Nguyen, Michelle
    de Nadal, Eulalia
    Posas, Francesc
    Steinmetz, Lars M.
    BIO-PROTOCOL, 2019, 9 (17):
  • [40] Accounting for technical noise in single-cell RNA-seq experiments
    Brennecke, Philip
    Anders, Simon
    Kim, Jong Kyoung
    Kolodziejczyk, Aleksandra A.
    Zhang, Xiuwei
    Proserpio, Valentina
    Baying, Bianka
    Benes, Vladimir
    Teichmann, Sarah A.
    Marioni, John C.
    Heisler, Marcus G.
    NATURE METHODS, 2013, 10 (11) : 1093 - 1095