Method

High-resolution spatial transcriptomics in fixed tissue using a cost-effective PCL-seq workflow

    • 1Single Cell Systems Biology Laboratory, College of Marine Life Sciences, Ocean University of China, Qingdao, Shandong 266101, China;
    • 2State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266101, China;
    • 310K Genomics Technology Co., Ltd., Shanghai 200233, China;
    • 4Department of Orthopedics, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
    • 5 These authors contributed equally to this work.
Published August 5, 2025. https://doi.org/10.1101/gr.279906.124
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cover of Genome Research Vol 36 Issue 10
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Abstract

The spatial heterogeneity of gene expression has driven the development of diverse spatial transcriptomics technologies. Here, we present photocleavage and ligation sequencing (PCL-seq), a spatial indexing method utilizing a light-controlled DNA labeling strategy applied to tissue sections. PCL-seq employs photocleavable oligonucleotides and ligation adapters to construct transcriptional profiles of specific regions of interest (ROIs) designated via microscopically controlled photo-illumination. In frozen mouse embryos, PCL-seq generates spatially aligned gene expression matrices and produces high-quality data, detecting approximately 170,000 unique molecular identifiers (UMIs) and 8600 genes (illumination diameter = 100 µm). Moreover, PCL-seq is compatible with formalin-fixed paraffin-embedded (FFPE) tissues, successfully identifying thousands of differentially enriched transcripts in the digits and vertebrae of mouse embryo FFPE sections. Additionally, PCL-seq achieves subcellular resolution, as demonstrated by differential expression profiling between nuclear and cytoplasmic compartments. These characteristics establish PCL-seq as an accessible and versatile workflow for spatial transcriptomic analyses in both frozen and FFPE tissues with subcellular resolution.

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