spatial transcriptomic sequencing data (10X Genomics)
86
Structured Review
10X Genomics
spatial transcriptomic sequencing data
Spatial Transcriptomic Sequencing Data, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/spatial+data+sequenced/data+spatial+transcriptomic/pm41044625-67-0-11
Average 86 stars, based on 1 article reviews
Spatial Transcriptomic Sequencing Data, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/spatial+data+sequenced/data+spatial+transcriptomic/pm41044625-67-0-11
Average 86 stars, based on 1 article reviews
spatial transcriptomic sequencing data - by Bioz Stars,
2026-09
86/100 stars
Images
Related Articles
Spatial Transcriptomics:Article Title: Single-cell multiomics gene regulatory landscape reveals impaired spermatogonial stem cells and macrophage-driven inflammaging during testicular aging. Article Snippet: 29 Testicular aging is a key driver of declining male reproductive health, but a comprehensive 30 understanding of its underlying epigenetic drivers is lacking.. To address this, we construct a 31 multiomics aging atlas by integrating single-cell RNA sequencing, single-cell assay for 32 transposase-accessible chromatin sequencing (scATAC-seq), and spatial transcriptomics of 33 young and aged mouse testes.. Our analysis reveals that altered chromatin accessibility 34 accompanies transcriptional dysregulation and identifies spermatogonial stem cells (SSCs) as 35 the most epigenetically vulnerable population. Sequencing:Article Title: Single-cell multiomics gene regulatory landscape reveals impaired spermatogonial stem cells and macrophage-driven inflammaging during testicular aging. Article Snippet: 29 Testicular aging is a key driver of declining male reproductive health, but a comprehensive 30 understanding of its underlying epigenetic drivers is lacking.. To address this, we construct a 31 multiomics aging atlas by integrating single-cell RNA sequencing, single-cell assay for 32 transposase-accessible chromatin sequencing (scATAC-seq), and spatial transcriptomics of 33 young and aged mouse testes.. Our analysis reveals that altered chromatin accessibility 34 accompanies transcriptional dysregulation and identifies spermatogonial stem cells (SSCs) as 35 the most epigenetically vulnerable population. Article Title: Spatial single-cell landscape of tumor-associated macrophages and their crosstalk with the tumor microenvironment. Article Snippet: .. To minimize batch effects caused by differences in sequencing platforms and methodologies, all single-cell and Gene Expression:Article Title: Single-cell multiomics gene regulatory landscape reveals impaired spermatogonial stem cells and macrophage-driven inflammaging during testicular aging. Article Snippet: 29 Testicular aging is a key driver of declining male reproductive health, but a comprehensive 30 understanding of its underlying epigenetic drivers is lacking.. To address this, we construct a 31 multiomics aging atlas by integrating single-cell RNA sequencing, single-cell assay for 32 transposase-accessible chromatin sequencing (scATAC-seq), and spatial transcriptomics of 33 young and aged mouse testes.. Our analysis reveals that altered chromatin accessibility 34 accompanies transcriptional dysregulation and identifies spermatogonial stem cells (SSCs) as 35 the most epigenetically vulnerable population. Single Cell:Article Title: Spatial single-cell landscape of tumor-associated macrophages and their crosstalk with the tumor microenvironment. Article Snippet: .. To minimize batch effects caused by differences in sequencing platforms and methodologies, all single-cell and Article Title: The Role of Tumor Necrosis Factor Signaling in Atherosclerosis and Stroke Article Snippet: .. To characterise TNF signaling within atherosclerotic plaques, we analysed two publicly available datasets: (i) an integrated single-cell RNA-sequencing (scRNA-seq) atlas of 259,116 cells from human carotid, coronary, and femoral plaques (73 donors), and (ii) Xenium (10x Genomics) In Situ:Article Title: SARS-CoV-2 infection and vaccination elicit distinct pharyngeal mucosal B cell responses in children. Article Snippet: .. Spatial transcriptomic profiling with Article Title: An antioxidant therapy elicits distinct transcriptome responses in 22q11-deleted upper layer cortical projection neurons. Article Snippet: .. To assess L 2/3 PN transcriptional responses that underlie NAC’s therapeutic effects in vivo, we first established that spatial Article Title: Won't you be my neighbor? Control of the immune response by stromal and immune cell microenvironments within the lymph node. Article Snippet: Efficacious immune responses require the coordinated encounter of rare antigen-specific adaptive lymphocytes with their cognate innate antigen-presenting cells (APCs) in space and time.. This spatiotemporal problem of immunity is solved by secondary lymphoid organs, such as lymph nodes (LNs), which coordinate adaptive immune responses by recruiting APCs and lymphocytes into close juxtaposition with tissue antigens drained from the periphery.. A central tenet to the overall function of the LN is the spatial organization of leukocytes into discrete microenvironments orchestrated by the mesenchymal and endothelial cells, collectively termed LN stromal cells (LNSCs). Formalin-fixed Paraffin-Embedded:Article Title: SARS-CoV-2 infection and vaccination elicit distinct pharyngeal mucosal B cell responses in children. Article Snippet: .. Spatial transcriptomic profiling with In Vivo:Article Title: An antioxidant therapy elicits distinct transcriptome responses in 22q11-deleted upper layer cortical projection neurons. Article Snippet: .. To assess L 2/3 PN transcriptional responses that underlie NAC’s therapeutic effects in vivo, we first established that spatial RNA sequencing:Article Title: The Role of Tumor Necrosis Factor Signaling in Atherosclerosis and Stroke Article Snippet: .. To characterise TNF signaling within atherosclerotic plaques, we analysed two publicly available datasets: (i) an integrated single-cell RNA-sequencing (scRNA-seq) atlas of 259,116 cells from human carotid, coronary, and femoral plaques (73 donors), and (ii) Xenium (10x Genomics) |
![A , B Spatial plot of seven cell types estimated by cell2location (spot resolution) and FineST (single-cell resolution). A' , B' Zoon-in views of A and B . B'' Zoon-in view of the region marked in B' , where FineST increases resolution from 8 spots to 869 single cells. C Cell type composition from reference scRNA-seq and deconvolution at Visium spot and FineST single-cell levels. D Distribution and PCC of cell type proportions ( n = 7) for Visium spot (PCC = 0.24) and FineST single-cell (PCC = 0.64) resolutions vs reference scRNA-seq. E Pathologists identified 36 spots (of 1331) co-localized with tertiary lymphoid structure (TLS), important for antigen presentation and T cell activation. FineST's single-cell views validate TLS by T and B cell co-localization (see B'' ). F Three example spatially co-expressed LR pairs detected at FineST's single-cell resolution. G Visualization of PVR - TIGIT interaction among local single cells ( z -score FDR < 0.05). H Clustering of 633 significant LR pairs, from single-cell resolution, within selected ROI into three spatial patterns using SpatialDE. I Spatial co-localization of tumor and Treg cells, estimated by cell2location . J Spatially co-expressed LR pairs detected at FineST's single-cell resolution. Scatter plot of global Moran’s R and one-sided z -score p -values (orange: significant, FDR < 0.05, Benjamini-Hochberg correction), with examples highlighted. K Communication strength of CD70 - CD27 at single-cell resolution (color: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$1-{p}_{{{{\rm{local}}}}{z}_{p}}$$\end{document} 1 − p local z p ; mean strength: 0.45, interacting cells: 5961, occupancy: 49.2%). L Detection of local CCC patterns by clustering significant LR pairs. Top: original spot resolution (332 pairs, SpatialDE); Middle: sub-spot resolution (957 pairs, SparseAEH) and Bottom: single-nucleus resolution (931 pairs, SparseAEH). M Dot plots of enriched pathways in Pattern 0 and Pattern 1 (from L , Bottom), 2-by-2 contingency tables for MHC-I and WNT. Statistical significance was assessed using a one-sided Fisher’s exact test; dot size indicates p -value. N Sankey plot of selected L-R-TF-TG communication pathways. For panels (D , K ), box plots show median (center), IQR (box), whiskers at 1.5 × IQR, and points for seven cell types; violin plots show density, median (white line), and IQR (thick bar). For panels ( A ), ( J , L ), source data are provided in the Source Data file.](https://pub-med-central-images-cdn.bioz.com/pub_med_central_ids_ending_with_1544/pmc13201544/pmc13201544__41467_2026_70528_Fig4_HTML.jpg)
