ArticleScience (New York, N.Y.)2021
Expansion sequencing: Spatially precise in situ transcriptomics in intact biological systems.
Article in Science (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 272 papers, 3 of them syntheses that pooled it.
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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
272 citing papers in PubMed, 3 syntheses or guidelines pooled it, 398 citations in OpenAlex.
- Enhancing RNA Capture Efficiency in Spatial Transcriptomics: A Review of Innovative Technologies and Strategies.International journal of molecular sciences · 2025Pooled it
- Deep learning in single-cell and spatial transcriptomics data analysis: advances and challenges from a data science perspective.Briefings in bioinformatics · 2025Pooled it
- Reference-based cell type matching of in situ image-based spatial transcriptomics data on primary visual cortex of mouse brain.Scientific reports · 2023Pooled it
- Unveiling the role of spatial transcriptomics in the analysis of the tumor immune microenvironment (Review).International journal of molecular medicine · 2026Review
- 3D multi-omics tumour atlases: from technology to biology and clinical translation.Nature reviews. Cancer · 2026Review
- Insights Into Spatial Transcriptomics: Exploring Recent Technical Developments and Their Diverse Applications.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Review
- Review
- Article
- Voltage imaging of neurons distributed across entire brains of larval zebrafish.Nature methods · 2026Article
- From descriptive to generative: foundation-model approaches for spatial transcriptomics.Briefings in bioinformatics · 2026Review
- Spatial omics illuminates tumor heterogeneity.Cell reports methods · 2026Review
- MuSpAn: a toolbox for multiscale spatial analysis.Nature communications · 2026Article
- DFCE-KanT: predicting spatial gene expression from histology images via contrastive learning.Bioinformatics (Oxford, England) · 2026Article
- Uncovering ectopic GC-like niches for tumor reactive lymphocyte priming in lung adenocarcinoma using Stereo-XCR-seq.Nature communications · 2026Article
- The m⁶A reader YTHDF2 regulates mRNA transport and axon outgrowth in developing neurons.Nature communications · 2026Article
- Resolving endogenous protein organization in cells with nanometer resolution.Nature communications · 2026Article
- Thousandfold Expansion Microscopy.bioRxiv : the preprint server for biology · 2026Article
- Transcriptomics Insights into Spinal Cord Injury for Therapy Development.International journal of molecular sciences · 2026Review
- Global deletion ofbioRxiv : the preprint server for biology · 2026Article
- Imaging-Based Spatial Transcriptomics: Data Interpretation Methods and Biomedical Applications.Biology · 2026Review
212 more citing papers are in PubMed but not listed here.
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Authors and funding
43 authors at 9 institutions in 2 countries.
Funding
Abstract
Methods for highly multiplexed RNA imaging are limited in spatial resolution and thus in their ability to localize transcripts to nanoscale and subcellular compartments. We adapt expansion microscopy, which physically expands biological specimens, for long-read untargeted and targeted in situ RNA sequencing. We applied untargeted expansion sequencing (ExSeq) to the mouse brain, which yielded the readout of thousands of genes, including splice variants. Targeted ExSeq yielded nanoscale-resolution maps of RNAs throughout dendrites and spines in the neurons of the mouse hippocampus, revealing patterns across multiple cell types, layer-specific cell types across the mouse visual cortex, and the organization and position-dependent states of tumor and immune cells in a human metastatic breast cancer biopsy. Thus, ExSeq enables highly multiplexed mapping of RNAs from nanoscale to system scale.
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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.