ArticleGenome biology2026
10 × Genomics Flex Gene Expression is a powerful tool for single-cell transcriptomics of xenografts models.
Article in Genome biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
5 citing papers in PubMed.
- Leveraging Single-Cell Technologies to Advance Understanding of Myocardial Disease.Circulation research · 2026Review
- Single-cell transcriptomics of granulocytes in asthma and atopic diseases.Frontiers in molecular biosciences · 2026Review
- Comparison of single-cell RNA-seq methods to enable transcriptome profiling of neutrophils in clinical samples.Cell reports methods · 2025Article
- An expanded view of cell competition.Development (Cambridge, England) · 2024Review
- Implementing distinct spatial proteogenomic technologies: opportunities, challenges, and key considerations.Clinical and experimental immunology · 2024Review
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
The 10 × Genomics Flex Gene Expression protocol is a probe-based method that profiles fixed or frozen material, simplifying sample handling before scRNA-seq. Although probes exist only for human and mouse, we show that xenograft samples containing mixed human-mouse cells can be profiled by combining both probe sets in a single reaction. Cellranger generates species-specific count tables in which specific probes strongly outperform cross-reactive ones. We implement an approach to remove cross-reactive signals, yielding clean species-specific matrices. This solution enables scRNA-seq of xenografts without flow sorting and supports analysis of both the graft and its microenvironment.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.