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DOI 10.3791/68619

Медицинская библиотека · Journal of visualized experiments : JoVE · 2025

Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq.

Casasent Anna K, Stolley Danielle L, Gamal Basant T, Dahay Arnold, Mok Samuel, Rocha Lidia, Li Vincent, Nguyen Arizona T, Zhang Boyu, Brasuell Clay T, Thompson Erika J, Huynh Thomas, Burks Jared K, Ferri-Borgogno Sammy

СтатьяVideo-Audio MediaПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

The spatial composition of cells within the host, as well as the bacteria or viral loads within the tissue, can impact the interaction of cell types and analytes that drive the cell through cell-type-specific processes. Stereo-seq for FFPE tissues uses random priming to spatial barcodes, which is different from standard spatial transcriptomics methods, which use A'tailing to capture messenger RNA (mRNA) or probe-based to capture species-specific transcripts. These methods do not embrace the more current knowledge about the impact and importance of other types of RNA from long non-coding RNA, mitochondrial RNA, microRNA, or other species, RNA, such as microbial, viral, and fungal. Outlined here is a step-by-step procedure from tissue sectioning through library preparation for spatial species-agnostic stereo-seq application with RNA detection using a randomer probe methodology, which is compatible with formalin fixed paraffin embedded (FFPE) tissues. This Stereo-seq method has a random capture bead of 0.22 µm in size that reoccurs in an array every 0.5 µm, allowing for subcellular resolution from a sequencing-based technology. As this method detects both host and non-host RNA, the protocol requires specific considerations to allow for the determination of what is inside the tissue versus what was deposited on the tissue during the collection, preservation, cutting, and detection process (i.e., environmental and handling contaminants). Lastly, this protocol allows one to have high (single-cell) level resolution of multi-RNA species within a spatial context, providing insight into the intra- and inter-actome of cell types and pathological species.

Для цитирования: Casasent Anna K, Stolley Danielle L, Gamal Basant T, Dahay Arnold, Mok Samuel, Rocha Lidia, Li Vincent, Nguyen Arizona T, Zhang Boyu, Brasuell Clay T, Thompson Erika J, Huynh Thomas, Burks Jared K, Ferri-Borgogno Sammy. Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq.. Journal of visualized experiments : JoVE. 2025. DOI: 10.3791/68619.

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