ArticleNature communications2025
Subcellular level spatial transcriptomics with PHOTON.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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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.
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Who cites it
6 citing papers in PubMed.
- Spatially tunable multiomic sequencing using light-driven combinatorial barcoding of molecules in tissues.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- ECHOS enables spatial epigenome profiling at subcellular resolution.bioRxiv : the preprint server for biology · 2026Article
- Multiplexed optical barcoding and sequencing for spatial omics.Scientific reports · 2026Article
- Spatial omics at the forefront: emerging technologies, analytical innovations, and clinical applications.Cancer cell · 2026Review
- Spatiotemporal decoding of skin biology: development, aging, disease, and regeneration.Burns & trauma · 2026Article
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Abstract
The subcellular localization of RNA is closely linked to its function. Many RNA species are partitioned into organelles and other subcellular compartments for storage, processing, translation, or degradation. Thus, capturing the subcellular spatial distribution of RNA would directly contribute to the understanding of RNA functions and regulation. Here, we present PHOTON, a method which combines high resolution imaging with high throughput sequencing to achieve spatial transcriptome profiling at subcellular resolution. We demonstrate PHOTON as a versatile tool to accurately capture the transcriptome of target cell types in situ at the tissue level such as granulosa cells in the ovary, as well as RNA content within subcellular compartments such as the nucleoli, the mitochondria, and the stress granules. Using PHOTON, we also reveal the functional role of m
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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.