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Evidence of off-target probe binding affecting 10x Genomics Xenium gene panels compromise accuracy of spatial
Caleb Hallinan1,2, Hyun Joo Ji1,3, Edmund Tsou1,2,3
1Center for Computational Biology, Whiting School of Engineering, Johns Hopkins University, Baltimore, United States.
Elife
|May 1, 2026
Summary
Probe specificity is crucial for accurate spatial gene expression. This study developed Off-target Probe Tracker (OPT) software to identify and mitigate off-target binding in the Xenium platform, enhancing transcriptomic data reliability.
Area of Science:
- Molecular Biology
- Genomics
- Bioinformatics
Background:
- Spatial transcriptomics technologies rely on probe specificity for accurate gene expression profiling.
- Off-target probe binding can lead to distorted gene expression profiles, impacting data reliability.
Purpose of the Study:
- To investigate and identify off-target binding in the 10x Genomics Xenium spatial transcriptomics technology.
- To develop a computational tool for detecting and assessing probe specificity issues.
Main Methods:
- Developed Off-target Probe Tracker (OPT) software for identifying potential off-target binding by aligning probe sequences against reference annotations.
- Applied OPT to a Xenium human breast gene panel and validated findings using orthogonal spatial (Visium CytAssist) and single-cell RNA-seq data from the same tumor block.
Main Results:
- Identified at least 14 out of 313 genes in the Xenium breast panel potentially affected by off-target binding to protein-coding genes.
- Demonstrated that for certain genes, Xenium expression patterns reflect combined target and off-target gene expression, as supported by orthogonal data.
- Showcased OPT's utility for custom gene panels and integration with tissue-specific RNA-seq data.
Conclusions:
- Off-target binding is a significant consideration for the accuracy of Xenium spatial transcriptomics.
- The OPT tool enhances the biological interpretability and reproducibility of spatial transcriptomics data.
- This work provides a method to improve the reliability of probe-based spatial gene expression profiling.

