stomics database (Complete Genomics Inc)
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Stomics Database, supplied by Complete Genomics Inc, used in various techniques. Bioz Stars score: 99/100, based on 495 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/stomics+database/Stereo-seq+Transcriptomics+Set+for+FFPE/pm42875951-601-47-47
Average 99 stars, based on 495 article reviews
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Expressing:Article Title: Advancing Cardiovascular Research With Single-Cell and Spatial Transcriptomics Article Snippet: Single-cell and spatial transcriptomics technologies have transformed the landscape of cardiovascular research, leading to novel insights into cellular heterogeneity and tissue architecture in health and disease.. These technologies enable researchers to deconvolute complex tissues and map gene expression patterns within their spatial contexts, providing critical information on the interplay between cell types and pathways affecting tissue regeneration or progression to fibrosis.. This review presents an overview of the recently developed applications of single-cell and spatial transcriptomics methods and their impact on cardiovascular research. Article Title: A Cori cycle-related gene signature predicts prognosis, immune microenvironment, and drug response in breast cancer Article Snippet: .. Single-cell expression levels of CCRGs were obtained from the Article Title: Comprehensive Breslow thickness (BT)-based analysis to identify biological mechanisms associated with melanoma pathogenesis. Article Snippet: Breslow thickness (BT), a parameter measuring the depth of invasion of abnormally proliferating melanocytes, is a key indicator of melanoma severity and prognosis.. However, the mechanisms underlying the increase in BT remain elusive.. Utilizing data from The Cancer Genome Atlas (TCGA) human skin cutaneous melanoma (SKCM), we identified a set of BT-related molecules and analyzed their expression and genomic heterogeneity across pancancerous and normal tissues. Marker:Article Title: Advancing Cardiovascular Research With Single-Cell and Spatial Transcriptomics Article Snippet: Single-cell and spatial transcriptomics technologies have transformed the landscape of cardiovascular research, leading to novel insights into cellular heterogeneity and tissue architecture in health and disease.. These technologies enable researchers to deconvolute complex tissues and map gene expression patterns within their spatial contexts, providing critical information on the interplay between cell types and pathways affecting tissue regeneration or progression to fibrosis.. This review presents an overview of the recently developed applications of single-cell and spatial transcriptomics methods and their impact on cardiovascular research. Gene Expression:Article Title: Advancing Cardiovascular Research With Single-Cell and Spatial Transcriptomics Article Snippet: Single-cell and spatial transcriptomics technologies have transformed the landscape of cardiovascular research, leading to novel insights into cellular heterogeneity and tissue architecture in health and disease.. These technologies enable researchers to deconvolute complex tissues and map gene expression patterns within their spatial contexts, providing critical information on the interplay between cell types and pathways affecting tissue regeneration or progression to fibrosis.. This review presents an overview of the recently developed applications of single-cell and spatial transcriptomics methods and their impact on cardiovascular research. Comparison:Article Title: Advancing Cardiovascular Research With Single-Cell and Spatial Transcriptomics Article Snippet: Single-cell and spatial transcriptomics technologies have transformed the landscape of cardiovascular research, leading to novel insights into cellular heterogeneity and tissue architecture in health and disease.. These technologies enable researchers to deconvolute complex tissues and map gene expression patterns within their spatial contexts, providing critical information on the interplay between cell types and pathways affecting tissue regeneration or progression to fibrosis.. This review presents an overview of the recently developed applications of single-cell and spatial transcriptomics methods and their impact on cardiovascular research. Spatial Transcriptomics:Article Title: A pan cancer multi omics analysis of OLR1 reveals its association with tumor immunity metabolic pathways and clinical prognosis Article Snippet: .. Spatial transcriptomics datasets were obtained from the Single Cell:Article Title: A Cori cycle-related gene signature predicts prognosis, immune microenvironment, and drug response in breast cancer Article Snippet: .. Single-cell expression levels of CCRGs were obtained from the Article Title: Multi-omics integration and machine learning identify an ACKR1 + endothelial cell-based lactate-immune signature associated with carotid plaque vulnerability and progression. Article Snippet: .. The internal singlecell and spatial transcriptomes were deposited with our previous study (Lai et al., Nat Cardiovasc Res, 2025) in the Genome Sequence Archive for Human at the National Genomics Data Center under accession HRA006030 (https://ngdc.cncb.ac.cn/gsa-human), with backups in the China National GeneBank: spatial transcriptomes in the Article Title: EAGS: efficient and adaptive Gaussian smoothing applied to high-resolved spatial transcriptomics Article Snippet: .. The mouse olfactory bulb at single-cell resolution is available in the Sequencing:Article Title: Multi-omics integration and machine learning identify an ACKR1 + endothelial cell-based lactate-immune signature associated with carotid plaque vulnerability and progression. Article Snippet: .. The internal singlecell and spatial transcriptomes were deposited with our previous study (Lai et al., Nat Cardiovasc Res, 2025) in the Genome Sequence Archive for Human at the National Genomics Data Center under accession HRA006030 (https://ngdc.cncb.ac.cn/gsa-human), with backups in the China National GeneBank: spatial transcriptomes in the Olfactory:Article Title: EAGS: efficient and adaptive Gaussian smoothing applied to high-resolved spatial transcriptomics Article Snippet: .. The mouse olfactory bulb at single-cell resolution is available in the |
