Decontamination of ambient RNA in single-cell RNA-seq with DecontX.
Bayesian mixture model
Decontamination
Single cell
scRNA-seq
Journal
Genome biology
ISSN: 1474-760X
Titre abrégé: Genome Biol
Pays: England
ID NLM: 100960660
Informations de publication
Date de publication:
05 03 2020
05 03 2020
Historique:
received:
30
09
2019
accepted:
29
01
2020
entrez:
7
3
2020
pubmed:
7
3
2020
medline:
20
2
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 32138770
doi: 10.1186/s13059-020-1950-6
pii: 10.1186/s13059-020-1950-6
pmc: PMC7059395
doi:
Substances chimiques
RNA
63231-63-0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
57Subventions
Organisme : NLM NIH HHS
ID : R01 LM013154
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA220413
Pays : United States
Organisme : NLM NIH HHS
ID : R01LM013154-01
Pays : United States
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