ArticleGenome biology2025
Automated integration of multi-slice spatial transcriptomics data in 2D and 3D using VR-Omics.
Article in Genome biology, 2025. 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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Mapping safety in space: the emerging role of spatial transcriptomics in safe drug development.Frontiers in toxicology · 2026Review
- CONCERT predicts niche-aware perturbation responses in spatial transcriptomics.bioRxiv : the preprint server for biology · 2025Article
- Automated integration of multi-slice spatial transcriptomics data in 2D and 3D using VR-Omics.Genome biology · 2025Article
- Integrating spatial omics with routine haematoxylin and eosin in formalin-fixed paraffin-embedded: a step-by-step clinical workflow.F1000Research · 2025Review
- QuickVol: A lightweight browser tool for immersive visualizations of volumetric data.iScience · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
29 authors.
Funding
Abstract
The field of spatial transcriptomics is rapidly evolving, with increasing sample complexity, resolution, and tissue size. Yet the field lacks comprehensive and intuitive solutions for automated integration and analysis of multi-slice data in either co-planar (2D) or stacked (3D) formation. To address this, we develop VR-Omics, a free, platform-agnostic software that provides end-to-end automated processing of multi-slice data through a biologist-friendly interface. Benchmarking against existing methods demonstrates VR-Omics' unique strengths to perform comprehensive end-to-end analysis of multi-slice stacked data. Through co-planar slice analysis, VR-Omics uncovers previously undetected, dysregulated metabolic networks within rare pediatric cardiac rhabdomyomas, demonstrating its potential for biological discoveries.
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What OpenQuestion holds
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.