10x genomics single cell transcriptome (10X Genomics)
86
Structured Review
10X Genomics
10x genomics single cell transcriptome
10x Genomics Single Cell Transcriptome, 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/10x+genomics+single+cell+transcriptomics/data+spatial+transcriptomic/pmc11558115-88-4-4
Average 86 stars, based on 1 article reviews
10x Genomics Single Cell Transcriptome, 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/10x+genomics+single+cell+transcriptomics/data+spatial+transcriptomic/pmc11558115-88-4-4
Average 86 stars, based on 1 article reviews
10x genomics single cell transcriptome - by Bioz Stars,
2026-10
86/100 stars
Images
1) Product Images from "Cross‐Species Insights into Trophoblast Invasion During Placentation Governed by Immune‐Featured Trophoblast Cells"
Article Title: Cross‐Species Insights into Trophoblast Invasion During Placentation Governed by Immune‐Featured Trophoblast Cells
Journal: Advanced Science
doi: 10.1002/advs.202407221
Figure Legend Snippet: Decoding single‐cell transcriptome profiles during rat placentation using scRNA‐seq. A) Schematic diagram of the experimental design. The study included three critical stages of placental development in rats. The labyrinth zone (LZ) and junction zone (JZ) of rat placenta were collected. B) Uniform manifold approximation and projection (UMAP) visualization showing seven major cell types. C) UMAP visualization showing the cell cycle phase of rat placental cells. D) UMAP visualization showing the origin of placental cells at different stages. E) Line charts showing the proportion of major cell types in three stages. F) UMAP visualization showing subclusters of rat placental cell types. G) UMAP visualization showing marker gene expression in different placental trophoblast subclusters. H) Heatmap showing the top differentially expressed genes (DEGs) of trophoblast subclusters, and the GO biological process terms enriched by corresponding subcluster DEGs. I) UMAP visualization showing typical maker gene expression of trophoblast ( Krt7 ) and immune ( Ptprc ) cell in clustered trophoblast subclusters. J,K) UMAP visualization showing the results of iTrophoblast integration with trophoblast and immune cell subclusters, and the corresponding average expression levels of trophoblast and immune cell marker genes. L) Immunostainings of Krt7 and Cd45 (Ptprc) protein in E15.5 rat placenta. M) Hierarchical clustering of iTrophoblast, trophoblast and immune cell subclusters. N) Violin plot showing the expression of top DEGs in SC subclusters. O) GO term clustering results of SC subclusters. E0.5‐E15.5, embryonic day 0.5 until 15.5; SC, stromal cell; EC, endothelial cell; Blood P., blood progenitor cells; Ery., erythrocyte; VE, visceral endoderm; TrPC, trophoblast progenitor cell; LaTP, labyrinth trophoblast progenitor cell; SpT, spongiotrophoblast; TGC, trophoblast giant cell; iTrophoblast, immune‐featured trophoblast cell; iSC, immune‐featured stromal cell; SMC, smooth muscle cell; IPC, immune progenitor cell; HBC, hofbauer cell; DC, dendritic cell; NK Cell, natural killer cell; EPC, endothelial progenitor cell; EndMT Cell, endothelial to mesenchymal transition cell.
Techniques Used: Marker, Gene Expression, Expressing
Figure Legend Snippet: Constructing of the single‐cell transcriptome atlas during early placentation in pigs. A) Schematic diagram of experimental design. The study included four different stages of early placentation in pigs. B) UMAP visualization showing seven major cell types of pig placenta. C) UMAP visualization showing the cell cycle phase. D) UMAP visualization showing the origin of placental cells at different stages. E) UMAP visualization showing subclusters of pig placental cell types. F) Stacked bar plot showing the proportion of each trophoblast subcluster in four stages. G) UMAP visualization showing marker gene expression in different placental trophoblast subclusters. H) Heatmap showing the top DEGs of trophoblast subclusters and the enriched GO terms by corresponding DEGs. I) Dot plot showing the expression of top DEGs in SC subclusters. J) GO term clustering results of SC subclusters. K) Dot plot showing the top DEGs in immune cell subclusters, and the heatmap showing the enriched GO terms. L) UMAP visualization showing typical maker gene expression of immune ( PTPRC ) and stromal ( HAND2 ) cell in clustered immune cell subclusters. M,N) UMAP visualization showing the results of iSC integration with immune cell and SC subclusters, and the corresponding average expression levels of immune cell and SC marker genes. O) Hierarchical clustering of iSC, SC and immune cell subclusters. P0‐P28, day 0 to 28 of pregnancy.
Techniques Used: Marker, Gene Expression, Expressing
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) |