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Genomics visium platform

Manufactured by 10x Genomics

The 10x Genomics Visium platform is a spatial gene expression profiling system. It enables the analysis of gene expression patterns within the spatial context of tissue samples. The Visium platform captures and processes tissue sections to generate spatial gene expression data.

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2 protocols using genomics visium platform

1

Multimodal Transcriptomics of DLPFC

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As previously described by Huuki-Myers et al. 2023 (46 ), paired (meaning both types of -omics were measured on the same N=19 tissue blocks) snRNA-seq measured on the 10x Genomics Chromium platform and spatially-resolved transcriptomics data measured on the 10x Genomics Visium platform were generated from tissue blocks collected from 3 different positions across the anterior-posterior axis of the DLPFC (designated posterior, anterior, and middle) from 10 adult neurotypical control donors (Table S1). In our analyses here, we only use the snRNA-seq libraries to generate the pseudobulk RNA-seq profiles. In addition to the snRNA-seq libraries generated from these tissue blocks, there was also paired bulk RNA-sequencing, and single molecule fluorescent in situ hybridization (smFISH)/immunofluorescence (IF) using RNAScope/IF technology generated and described in Huuki-Myers et al. 2024 (26 ) measured in the same tissue blocks. The smFISH/IF data was used to measure the cell type composition in the same tissue samples serving as a “gold standard” to compare the estimated cell composition in the bulk RNA-seq predicted by the deconvolution algorithms in (26 ). The fact that all three (snRNA-seq, bulk RNA-seq, and smFISH/IF) technologies were measured on the same tissue blocks helps to minimize potential donor-specific unwanted variation or batch effects.
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2

Spatial Transcriptomics of Human DLPFC

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Maynard et al Maynard et al. [2021] used recently released ST technology, the 10x Genomics Visium platform, to generate spatial maps of gene expression matrices for the six-layered DLPFC of the adult human brain that are provided in the spatialLIBD package. They also provided manual annotations of the layers based on the cytoarchitecture. In their study, they profiled the spatial transcriptomics of human postmortem DLPFC tissue sections from 12 samples, with a median depth of 291 M reads for each sample, corresponding to a mean 3,462 unique molecular indices and a mean 1,734 genes per spot.
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