cosmx slides (10X Genomics)
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Cosmx Slides, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/cosmx slides/product/10X Genomics
Average 90 stars, based on 1 article reviews
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1) Product Images from "A Comparative Analysis of Imaging-Based Spatial Transcriptomics Platforms"
Article Title: A Comparative Analysis of Imaging-Based Spatial Transcriptomics Platforms
Journal: bioRxiv
doi: 10.1101/2023.12.13.571385
Figure Legend Snippet: A. Schematic of the Experimental Design: Serial sections of FFPE prostate adenocarcinoma were simultaneously processed for spatial transcriptomics using Nanostring CosMx SMI and 10x Genomics Xenium, single-nucleus RNA sequencing (snPATHO-seq), and histological analysis. B. Annotated UMAP Embedding of snPATHO-seq Data: Cell types were annotated utilizing reference scRNA-seq data of human prostate from Tuong et al. , along with canonical markers for each cell type. C. Expression and Detection Frequency of Top 3 Markers: The top three markers (p<0.05, ranked by logFC) for each cell type are shown. Log(CP10k+1) represents the log-transformed transcript counts per 10,000 transcripts. D. Top: H&E Stain of Each Section Following Xenium or CosMx Imaging: Post-imaging, CosMx tissues undergo additional processing for immunofluorescence, which affects the stain quality. Bottom: Spatial Transcriptomics Data: Each cell is depicted as a point, positioned at its centroid. Cells are color-coded by total transcript count. E. Correlation of Mean Transcript Counts for Each Probe in the Assay Across Replicates on the Same Platform: The Pearson correlation coefficient for both platforms >0.99.
Techniques Used: RNA Sequencing, Expressing, Transformation Assay, Staining, Imaging, Immunofluorescence
Figure Legend Snippet: A. Tissue structure of colon (top; Xenium: public data from 10x Genomics, CosMx: Garrido-Trigo et al. ), lung cancer (middle, Xenium: public data from 10x Genomics, CosMx: public data from NanoString Technologies), and breast cancer (bottom; Xenium and CosMx provided the Suzuki lab, University of Tokyo). Cell annotations are based on automated annotation from scRNA-seq reference datasets. B. Average detection of gene-targeting and control probe sets. C. Spatial autocorrelation (Moran’s I) of all probes in each data set (top panels). A comparison of Moran’s I values for common gene targets is shown in each bottom panel. The dashed line reflects a slope of 1. D. Correlation of spatial transcriptomics data from each platform with a scRNA-seq reference (Breast cancer, Wu et al. ; Lung cancer, Kim et al. ; Colon, custom integration of public data, available with data from this manuscript). Given that reference data is from a different source and cellular composition may differ, values only from annotated endothelial cells are shown as an example. E. Transcript abundance for canonical markers in cells with the specified annotation are colored as the maximal value.
Techniques Used: Control, Comparison