Spatially resolved whole transcriptome profiling in human and mouse tissue using Digital Spatial Profiling
| Autor: | Erin Piazza, Isgur L, Lasley Ae, Nelson Js, Appelbe O, Joseph M. Beechem, Yan Liang, Maddy Griswold, Klock A, Kulasekara Br, Margaret L. Hoang, Buhr Dl, Huynh Q, Daniel R. Zollinger, Karen Nguyen, Kutchma A, Zimmerman Sm, Arya Bahrami, Kit Fuhrman, Rininger A, Robin Fropf, Rich Boykin, Jill McKay-Fleisch, Michael Rhodes |
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| Rok vydání: | 2021 |
| Předmět: |
Profiling (computer programming)
medicine.diagnostic_test Molecular pathology Gene Expression Profiling Context (language use) Computational biology Biology Gene expression profiling Transcriptome Mice Neoplasms Gene expression Genetics medicine Tumor Microenvironment Humans Animals Gene Genetics (clinical) In Situ Hybridization Fluorescence Fluorescence in situ hybridization |
| Zdroj: | Genome research. 32(10) |
| ISSN: | 1549-5469 |
| Popis: | Emerging spatial profiling technology has enabled high-plex molecular profiling in biological tissues, preserving the spatial and morphological context of gene expression. Here we describe expanding the chemistry for the Digital Spatial Profiling platform to quantify whole transcriptomes in human and mouse tissues using a wide range of spatial profiling strategies and sample types. We designed multiplexed in situ hybridization probe pools targeting the protein-coding genes in the human and mouse transcriptomes, hereafter referred to as the human or mouse Whole Transcriptome Atlas (WTA). We validated the human and mouse WTA using cell lines to demonstrate concordance with orthogonal gene expression profiling methods in profiled region sizes ranging from ~10-500 cells. By benchmarking against bulk RNAseq and fluorescence in situ hybridization, we demonstrate robust transcript detection possible down to ~100 transcripts per region. To assess the performance of WTA across tissue and sample types, we applied WTA to biological questions in cancer, molecular pathology, and developmental biology. We show that spatial profiling with WTA can detect expected spatial gene expression differences between tumor and tumor microenvironment, identify spatial disease-specific heterogeneity in gene expression in histological structures of the human kidney, and comprehensively map transcriptional programs in anatomical substructures of nine organs in the developing mouse embryo. Digital Spatial Profiling technology with the WTA assays provides a flexible method for spatial whole transcriptome profiling applicable to diverse tissue types and biological contexts. |
| Databáze: | OpenAIRE |
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