Single-cell RNA-seq data have prevalent blood contamination but can be rescued by Originator, a computational tool separating single-cell RNA-seq by genetic and contextual information

Single-cell RNA sequencing (scRNA-seq) data from complex human tissues have prevalent blood cell contamination during the sample preparation process. They may also comprise cells of different genetic makeups. We propose a new computational framework, Originator, which deciphers single cells by genetic origin and separates immune cells of blood contamination from those of expected tissue-resident cells. We demonstrate the accuracy of Originator at separating immune cells from the blood and tissue as well as cells of different genetic origins, using a variety of artificially mixed and real datasets, including pancreatic cancer and placentas as examples.

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Publication Details

Journal
Genome biology
Published
2025-03-11
DOI
https://doi.org/10.1186/s13059-025-03495-9
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
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article

Single-cell RNA-seq data have prevalent blood contamination but can be rescued by Originator, a computational tool separating single-cell RNA-seq by genetic and contextual information

Lana X. Garmire, Qianhui Huang, Yiwen Yang, Thatchayut Unjitwattana et al.
Genome biology
Single-cell and spatial transcriptomics
article

Single-cell RNA-seq data have prevalent blood contamination but can be rescued by Originator, a computational tool separating single-cell RNA-seq by genetic and contextual information

Lana X. Garmire, Qianhui Huang, Yiwen Yang, Thatchayut Unjitwattana, Youqi Yang, Lin Tao, Yuheng Du, Mengtian Zhou
article en

Abstract

Single-cell RNA sequencing (scRNA-seq) data from complex human tissues have prevalent blood cell contamination during the sample preparation process. They may also comprise cells of different genetic makeups. We propose a new computational framework, Originator, which deciphers single cells by genetic origin and separates immune cells of blood contamination from those of expected tissue-resident cells. We demonstrate the accuracy of Originator at separating immune cells from the blood and tissue as well as cells of different genetic origins, using a variety of artificially mixed and real datasets, including pancreatic cancer and placentas as examples.

Genome biologyVol. 26(1)
Washtenaw Community College (US), University of Michigan (US)
Openalex Percentile: Top 96%
Single-cell and spatial transcriptomics
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Single-cell RNA-seq data have prevalent blood contamination but can be rescued by Originator, a computational tool separating single-cell RNA-seq by genetic and contextual information — Lana X. Garmire, Qianhui Huang, et al. · Genome biology (2025) | TGRS Research Map | TGRS