Similar Datasets
Project description:Spatial transcriptomic signatures of cardiac sarcoidosis
| PRJNA1393118 | ENA
Project description:Spatial Transcriptomics using the 10x Genomics Visium technology was performed in lung tissues from 9 patients with chronic sarcoidosis
2026-03-24 | GSE288607 | GEO
Project description:Cardiac involvement is an important determinant of mortality amongst sarcoidosis patients. While granulomatous inflammation is a hallmark finding in cardiac sarcoidosis, the precise immune cell populations that comprise the granuloma remain unresolved. Furthermore, it is unclear how the cellular and transcriptomic landscape of cardiac sarcoidosis differs from other inflammatory heart diseases. We leveraged spatial transcriptomics (GeoMx DSP) and single nucleus RNA sequencing (snRNAseq) to elucidate the cellular and transcriptional landscape of cardiac sarcoidosis. Using GeoMX DSP technology, we compared the transcriptomal profile of CD68+ rich immune cell infiltrates in human cardiac sarcoidosis, giant cell myocarditis, and lymphocytic myocarditis. We performed snRNAseq of human cardiac sarcoidosis to identify immune cell types and examined their transcriptomic landscape and regulation. Using multi-channel immunofluorescence staining, we validated immune cell populations identified by snRNAseq, determined their spatial relationship, and devised an immunostaining approach to distinguish cardiac sarcoidosis from other inflammatory heart diseases. Despite overlapping histological features, spatial transcriptomics identified transcriptional signatures and associated pathways that robustly differentiated cardiac sarcoidosis from giant cell myocarditis and lymphocytic myocarditis. snRNAseq revealed the presence of diverse populations of myeloid cells in cardiac sarcoidosis with distinct molecular features. We identified GPNMB as a novel marker of multinucleated giant cells and predicted that the MITF family of transcription factors regulated this cell type. We also detected additional macrophage populations in cardiac sarcoidosis including HLA-DR+ macrophages, SYTL3+ macrophages and CD163+ resident macrophages. HLA-DR+ macrophages were found immediately adjacent to GPMMB+ giant cells, a distinct feature compared with other inflammatory cardiac diseases. SYTL3+ macrophages were located scattered throughout the granuloma and CD163+ macrophages, CD1c+ dendritic cells, non-classical monocytes, and T-cells were located at the periphery and outside of the granuloma. Finally, we demonstrate mTOR pathway activation is associated with proliferation and is selectively found in HLA-DR+ and SYLT3+ macrophages. In this study, we identified diverse populations of immune cells with distinct molecular signatures that comprise the sarcoid granuloma. These findings provide new insights into the pathology of cardiac sarcoidosis and highlight opportunities to improve diagnostic testing.
2022-07-01 | GSE205734 | GEO
Project description:Transcriptional and immune landscape of cardiac sarcoidosis
| PRJNA847259 | ENA
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.
2024-11-01 | E-MTAB-14566 | biostudies-arrayexpress
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.
2024-11-01 | E-MTAB-14560 | biostudies-arrayexpress
Project description:We generated a tamoxifen-inducible, adipocyte-specific ATGL-KO animals to analyze the role of adipocyte ATGL in cardiac ischemia/reperfusion. KO was induced in 10 weeks old male mice via 7d of consecutive i.p.-injections of 500µg hydroxytamoxifen/day. Pnpla2-flox homozygous, Cre-negative littermates were used as control. After 2 weeks washout phase mice underwent closed chest ischemia with first ligature-induction surgery and 3-7 d later 1 hour closed chest ischemia followed by 24 h reperfusion. Mice were sacrificed and hearts excised to perform spatial transcriptomic analysis on 10X Visium Gene Expression slides. The goal was to identify differences in gene expression between KO and control in the different zones of the heart after ischemia (eg. ischemic, border and remote zone).
2026-02-28 | E-MTAB-12700 | biostudies-arrayexpress
Project description:Comparing 10x Visium spatial transcriptomic technologies
| PRJNA1071205 | ENA
Project description:Sarcoidosis is a multisystemic disease characterized by non-caseating granuloma infiltrating various organs. The form with symptomatic muscular involvement is called muscular sarcoidosis. The impact of immune cells composing the granuloma on the skeletal muscle is misunderstood. Here, we investigated the granuloma-skeletal muscle interactions through spatial transcriptomics. Five major transcriptomic clusters corresponding to perigranuloma, granuloma, and three successive muscle tissue areas (proximal, intermediate and distal) around the granuloma were identified. Analyses revealed upregulated pathways in the granuloma corresponding to the activation of T-lymphocytes and monocytes/macrophages cytokines and upregulation of extracellular matrix signatures and induction of the TGF-β signaling in the perigranuloma. Comparison between proximal and distal muscles to the granuloma revealed an inverse correlation between distance to the granuloma and upregulation of cellular response to interferon-γ/α, TNF-α, IL-1,4,6, fibroblast proliferation, epithelial to mesenchymal cell transition and downregulation of muscle gene expression. These data shed light on the intercommunications between granulomas and the muscle tissue and provides pathophysiological mechanisms by showing that granuloma immune-cells have a direct impact on proximal muscle tissue by promoting its progressive replacement by fibrosis via the expression of pro-inflammatory and pro-fibrosing signatures. These data could possibly explain the evolution towards a state of disability for some patients.
2023-11-29 | GSE243291 | GEO
Project description:Cancer cells display heterogeneous and dynamic states in glioblastoma, but how these malignant states arise and whether they follow a tractable cellular trajectory across tumours is poorly understood. Here, we generate a deep single cell and spatial multi-region atlas of 12 isocitrate dehydrogenase wild-type (IDH-wt) primary glioblastomas that integrates transcriptomic, epigenomic and genomic analysis to comprehensively characterise their tumour heterogeneity. This submission contains the Space Ranger processed outputs from Visium spatial transcriptomic sequencing (10x Genomics), including paired high-resolution H&E tissue images. We also provide an integrated single cell and spatial dataset across 97 Visium sections, including gene expression, cell state abundances, and histopathological annotations.
2026-06-12 | E-MTAB-17164 | biostudies-arrayexpress