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Nextflow Pipeline for Visium and H&E Data from Patient-Derived Xenograft Samples

GSE238004 Mus musculus Expression profiling by high throughput sequencing; Other 4 samples Submitted 2024/05/21 Platform GPL24247
Summary
We designed a Nextflow DSL2-based pipeline, Spatial Transcriptomics Quantification (STQ), for simultaneous processing of 10x Genomics Visium spatial transcriptomics data and a matched hematoxylin and eosin (H&E)-stained whole slide image (WSI), optimized for Patient-Derived Xenograft (PDX) cancer specimens. Our pipeline enables the classification of sequenced transcripts for deconvolving the mouse and human species and mapping the transcripts to reference transcriptomes. We align the H&E WSI with the spatial layout of the Visium slide and generate imaging and quantitative morphology features for each Visium spot. The pipeline design enables multiple analysis workflows, including single or dual reference genomes input and stand-alone image analysis. We show the utility of our pipeline on a dataset from Visium profiling of four melanoma PDX samples. The clustering of Visium spots and clustering of H&E imaging features reveal similar patterns arising from the two data modalities.
Published in
Nextflow pipeline for Visium and H&E data from patient-derived xenograft samples
Domanskyi S, Srivastava A, Kaster J et al. · Cell reports methods 2024 · PMID 38626768 · doi:10.1016/j.crmeth.2024.100759
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Direct links to NCBI, no account and no request form: the whole study as GSE238004_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA997362 and SRA study SRP450815. Searching any of these in the dataset finder brings you back here.

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