Demuxafy: improvement in droplet assignment by integrating multiple single-cell demultiplexing and doublet detection methods

Abstract Recent innovations in single-cell RNA-sequencing (scRNA-seq) provide the technology to investigate biological questions at cellular resolution. Pooling cells from multiple individuals has become a common strategy, and droplets can subsequently be assigned to a specific individual by leverag...

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Main Authors: Drew Neavin, Anne Senabouth, Himanshi Arora, Jimmy Tsz Hang Lee, Aida Ripoll-Cladellas, sc-eQTLGen Consortium, Lude Franke, Shyam Prabhakar, Chun Jimmie Ye, Davis J. McCarthy, Marta Melé, Martin Hemberg, Joseph E. Powell
Format: Article
Language:English
Published: BMC 2024-04-01
Series:Genome Biology
Subjects:
Online Access:https://doi.org/10.1186/s13059-024-03224-8
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author Drew Neavin
Anne Senabouth
Himanshi Arora
Jimmy Tsz Hang Lee
Aida Ripoll-Cladellas
sc-eQTLGen Consortium
Lude Franke
Shyam Prabhakar
Chun Jimmie Ye
Davis J. McCarthy
Marta Melé
Martin Hemberg
Joseph E. Powell
author_facet Drew Neavin
Anne Senabouth
Himanshi Arora
Jimmy Tsz Hang Lee
Aida Ripoll-Cladellas
sc-eQTLGen Consortium
Lude Franke
Shyam Prabhakar
Chun Jimmie Ye
Davis J. McCarthy
Marta Melé
Martin Hemberg
Joseph E. Powell
author_sort Drew Neavin
collection DOAJ
description Abstract Recent innovations in single-cell RNA-sequencing (scRNA-seq) provide the technology to investigate biological questions at cellular resolution. Pooling cells from multiple individuals has become a common strategy, and droplets can subsequently be assigned to a specific individual by leveraging their inherent genetic differences. An implicit challenge with scRNA-seq is the occurrence of doublets—droplets containing two or more cells. We develop Demuxafy, a framework to enhance donor assignment and doublet removal through the consensus intersection of multiple demultiplexing and doublet detecting methods. Demuxafy significantly improves droplet assignment by separating singlets from doublets and classifying the correct individual.
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spelling doaj.art-7209fadf8e984cfb87325f01f83f0d882024-04-21T11:20:37ZengBMCGenome Biology1474-760X2024-04-0125112410.1186/s13059-024-03224-8Demuxafy: improvement in droplet assignment by integrating multiple single-cell demultiplexing and doublet detection methodsDrew Neavin0Anne Senabouth1Himanshi Arora2Jimmy Tsz Hang Lee3Aida Ripoll-Cladellas4sc-eQTLGen ConsortiumLude Franke5Shyam Prabhakar6Chun Jimmie Ye7Davis J. McCarthy8Marta Melé9Martin Hemberg10Joseph E. Powell11Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute for Medical ResearchGarvan-Weizmann Centre for Cellular Genomics, Garvan Institute for Medical ResearchGarvan-Weizmann Centre for Cellular Genomics, Garvan Institute for Medical ResearchWellcome Sanger Institute, Wellcome Genome CampusLife Sciences DepartmentDepartment of Genetics, University of Groningen, University Medical Center GroningenSpatial and Single Cell Systems Domain, Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR)Bakar Institute for Computational Health Sciences, University of CaliforniaBioinformatics and Cellular Genomics, St Vincent’s Institute of Medical ResearchLife Sciences DepartmentPresent address: The Gene Lay Institute of Immunology and Inflammation, Brigham and Women’s Hospital and Harvard Medical SchoolGarvan-Weizmann Centre for Cellular Genomics, Garvan Institute for Medical ResearchAbstract Recent innovations in single-cell RNA-sequencing (scRNA-seq) provide the technology to investigate biological questions at cellular resolution. Pooling cells from multiple individuals has become a common strategy, and droplets can subsequently be assigned to a specific individual by leveraging their inherent genetic differences. An implicit challenge with scRNA-seq is the occurrence of doublets—droplets containing two or more cells. We develop Demuxafy, a framework to enhance donor assignment and doublet removal through the consensus intersection of multiple demultiplexing and doublet detecting methods. Demuxafy significantly improves droplet assignment by separating singlets from doublets and classifying the correct individual.https://doi.org/10.1186/s13059-024-03224-8Single-cell analysisGenetic demultiplexingDoublet detecting
spellingShingle Drew Neavin
Anne Senabouth
Himanshi Arora
Jimmy Tsz Hang Lee
Aida Ripoll-Cladellas
sc-eQTLGen Consortium
Lude Franke
Shyam Prabhakar
Chun Jimmie Ye
Davis J. McCarthy
Marta Melé
Martin Hemberg
Joseph E. Powell
Demuxafy: improvement in droplet assignment by integrating multiple single-cell demultiplexing and doublet detection methods
Genome Biology
Single-cell analysis
Genetic demultiplexing
Doublet detecting
title Demuxafy: improvement in droplet assignment by integrating multiple single-cell demultiplexing and doublet detection methods
title_full Demuxafy: improvement in droplet assignment by integrating multiple single-cell demultiplexing and doublet detection methods
title_fullStr Demuxafy: improvement in droplet assignment by integrating multiple single-cell demultiplexing and doublet detection methods
title_full_unstemmed Demuxafy: improvement in droplet assignment by integrating multiple single-cell demultiplexing and doublet detection methods
title_short Demuxafy: improvement in droplet assignment by integrating multiple single-cell demultiplexing and doublet detection methods
title_sort demuxafy improvement in droplet assignment by integrating multiple single cell demultiplexing and doublet detection methods
topic Single-cell analysis
Genetic demultiplexing
Doublet detecting
url https://doi.org/10.1186/s13059-024-03224-8
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