Seq-Scope-eXpanded: Spatial Omics Beyond Optical Resolution
Angelo AnacletoiD, Weiqiu ChengiD, Qianlu FengiD, Anna ParkiD, Chun‐Seok ChoiD, Yongha HwangiD, Yongsung KimiD, Yichen SiiD, Jer-En HsuiD, Qingyang ZhaoiD, Xiaoya ZhaoiD, Daniel Kim, Mitchell Schrank, Alex W. SchraderiD, S. Y. YeoiD, Rosane M. B. TelesiD, Robert L. ModliniD, Olesya PlazyoiD, Johann Eli GudjonssoniD, Myungjin KimiD, Chang H. KimiD, Hee‐Sun HaniD, Hyun Min KangiD, Jun Yong LeeiD
Abstract
Sequencing-based spatial transcriptomics (sST) enables transcriptome-wide gene expression mapping but falls short of reaching the optical resolution (200-300 nm) of imaging-based methods. Here, we present Seq-Scope-X (Seq-Scope-eXpanded), which empowers submicrometer-resolution Seq-Scope with tissue expansion to surpass this limitation. By physically enlarging tissues, Seq-Scope-X minimizes transcript diffusion effects and increases spatial feature density by an additional order of magnitude. In liver tissue, this approach resolves nuclear and cytoplasmic compartments in nearly every single cell, uncovering widespread differences between nuclear and cytoplasmic transcriptome patterns. Independently confirmed by imaging-based methods, these results suggest that individual hepatocytes can dynamically switch their metabolic roles. Seq-Scope-X is also applicable to non-hepatic tissues such as brain and colon, and can be modified to perform spatial proteomic analysis, simultaneously profiling hundreds of barcode-tagged antibody stains at microscopic resolutions in mouse spleens and human tonsils. These findings establish Seq-Scope-X as a transformative tool for ultra-high-resolution whole-transcriptome and proteome profiling, offering unparalleled spatial precision and advancing our understanding of cellular architecture, function, and disease mechanisms.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 8
- FWCI
- 8.17
- Field percentile
- top 3%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Seq-Scope: Submicrometer-resolution spatial transcriptomics for single cell and subcellular studies
- Seq-Scope Protocol: Repurposing Illumina Sequencing Flow Cells for High-Resolution Spatial Transcriptomics
Yongsung Kim, Weiqiu Cheng, … Jun Hee Lee·Nature ProtocolsPeer-reviewed·Oct 31, 2024
- SpatialScope: A unified approach for integrating spatial and single-cell transcriptomics data using deep generative models
Xiaomeng Wan, Jiashun Xiao, … Can Yang·bioRxiv·Mar 14, 2023
- Scaling up spatial transcriptomics for large-sized tissues: uncovering cellular-level tissue architecture beyond conventional platforms with iSCALE
Amelia R. Schroeder, Melanie Loth, … Mingyao Li·Nature MethodsPeer-reviewed·Sep 1, 2025
- Spatial Transcriptomics Sequencing of Mouse Liver at 2 Micron Resolution Using a Novel Spatial DNA Chip
Xun Ding, Kendall Hoff, … Wei Zhou·bioRxiv·Jan 8, 2024
- Cell segmentation for high-resolution spatial transcriptomics
Hao Chen, Dongshunyi Li, Ziv Bar‐Joseph·Nature MethodsPeer-reviewed·Jul 10, 2023