Project description:We report a series of single-cell transcriptomic datasets of regenerating mouse muscle tissue generated with the 10x Genomics Chromium platform.
Project description:We report a series of single-cell transcriptomic datasets of regenerating mouse muscle tissue generated with the 10x Genomics Chromium v3 platform.
Project description:We report a series of single-cell transcriptomic datasets of the mouse regenerating muscle tissue produced using the Chromium 10X technology.
Project description:We monitored lung fibrosis formation and resolution in young and old mice by generating a series of spatial transcriptomics datasets using the 10x Genomics Visium platform
Project description:We used Visium technology (10X Genomics) to infer cell-to-cell communication in ovarian and uterine tissue based on spatial proximity. Organs from 3-month mice in diestrus and 18-month old mice were collected and frozen in OCT. 10 µm thick tissue slices were placed on Visium Spatial Gene Expression Slides (10X Genomics) and stained with Hematoxylin and Eosin (H&E). Libraries were prepared by manufacturer’s recommendations and sequenced on NovaSeq6000. For samples that were sequenced in two runs, both sequencing runs were merged when running spaceranger (10X Genomics). Original nd2 microscopy images and results of scRNA-seq (linked datasets) and spatial transcriptomics analysis are available at Biostudies (S-BIAD482 and S-BSST852).
Project description:We performed Visium CytAssist (10X), GeoMx DSP (Nanostring) and Chromium Flex (10X Genomics) full transcriptome profiling on Breast Cancer (BC), Lung Cancer (LC) and diffuse large B cell lymphoma (DLBCL) samples from archival FFPE blocks. We explore the data quality across blocks with different storage times and DV200 values for all the three methods. We compared the cell type signature purity between ST methods Visium and GeoMx by utilising pathology annotations and scRNAseq. For the Visium and Chromium methods with a large number of data points we explored the heterogeneity between tissues. Finally, we demonstrate the discovery of patient-specific tumor-TME interactions across all three methods.
Project description:These samples are part of a study investigating cancer cell plasticity in colorectal cancer metastasis. Spatial transcriptomics was performed using 10x Genomics Visium on colorectal cancer liver metastatic patient samples.
Project description:We developed Renoir, an algorithm for charting the ligand-target activities across a spatial topology. To validate this method, we generated 10x Genomics Visium HD datasets from human fetal liver samples (13 PCW and 14 PCW) and applied Renoir on these datasets. Renoir identified hepatocyte-macrophage interactions in these samples.
Project description:We performed Visium CytAssist (10X), GeoMx DSP (Nanostring) and Chromium Flex (10X Genomics) full transcriptome profiling on Breast Cancer (BC), Lung Cancer (LC) and diffuse large B cell lymphoma (DLBCL) samples from archival FFPE blocks. We explore the data quality across blocks with different storage times and DV200 values for all the three methods. We compared the cell type signature purity between ST methods Visium and GeoMx by utilising pathology annotations and scRNAseq. For the Visium and Chromium methods with a large number of data points we explored the heterogeneity between tissues. Finally, we demonstrate the discovery of patient-specific tumor-TME interactions across all three methods.