visium dataset (10X Genomics)
86
Structured Review
10X Genomics
visium dataset
Visium Dataset, 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/visium+image+alignment+function/pmc07681775-401-29-27?v=10X+Genomics
Average 86 stars, based on 1 article reviews
Visium Dataset, 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/visium+image+alignment+function/pmc07681775-401-29-27?v=10X+Genomics
Average 86 stars, based on 1 article reviews
visium dataset - by Bioz Stars,
2026-08
86/100 stars
Images
1) Product Images from "Cells of the adult human heart"
Article Title: Cells of the adult human heart
Journal: Nature
doi: 10.1038/s41586-020-2797-4
Figure Legend Snippet: a – d , Spatial expression (log 2 FC) of CDH5 (pan-EC marker), SEMA3G and GJA5 (arterial EC markers) ( a ), ACKR1 and PLVAP (venous EC markers) ( b ), MYH11 and ACTA2 (pan-SMC markers) ( c ), and JAG1 and NOTCH2 ( d ) on publicly available 10X Visium section of human left ventricle. JAG1 and NOTCH2 are the predicted interaction partners for arterial ECs and SMCs, respectively.
Techniques Used: Expressing, Marker
Figure Legend Snippet: a , Visualization of transcriptional signatures from published studies. The score values represent the likelihood of the external transcriptional signature to be present when comparing it against the transcriptional background of a cardiac immune population. Bajpai_2018 = CCR2 - MERTK + tissue-resident macrophages from ref. . Dick_2019 = self-renewing tissue macrophages from ref. . Bian_2020 = yolk sac-derived macrophages from ref. . The complete signature can be found in Supplementary Table . b , Expression (log 2 FC) of LYVE1 , FOLR2 and TIMD4 characteristic of the self-renewing tissue-resident murine macrophages previously described , as well as MERTK as previously described and the TREM2 expression associated to lipid-associated macrophages (LAM) previously described . Complete signatures can be found in Supplementary Table . c , Scaled expression (log 2 FC) of genes differentiating DOCK4 + MP1 from DOCK4 + MP2: IL4R , ITGAM , STAT3 , DOCK1 , HIF1A and RASA2 . d , Predicted cell–cell interactions calculated for 69,295 cardiomyocytes, fibroblasts and myeloid cells from 14 donors ( n = 14) and enriched for ‘extracellular matrix organization’. Mean of combined gene expression of interacting pairs (log 2 FC). Data are available in Supplementary Table . e , Spatial mapping of the CD74 – MIF interaction between LYVE1 + MP and FB4 on a publicly available 10X Genomics Visium dataset for left ventricular myocardium. We identified four spots where we observe co-expression of FN1 , LYVE1 , CD74 and MIF , as predicted from the cell–cell interactions. The bar represents the log 2 FC. f , Confusion matrix for the logistic regression model trained on cardiac immune cells. This model reached an accuracy score of 0.6862, showing a stronger accuracy with lymphoid cells, compared with the myeloid ones.
Techniques Used: Derivative Assay, Expressing