相关数据集
GeoMx Cancer Transcriptome Atlas (CTA) mRNA assay on 191 ROIs from a NSCLC tumor. [NSCLC_191_grid]
Dense spatial gene expression profiling of a NSCLC tumor. This study was part of Danaher & Kim et al., "Advances in mixed cell deconvolution enable quantification of cell types in spatially resolved g
NIAID Data Ecosystem50
Three-dimensional molecular cartography of human cerebral organoids revealed by double-barcoded spatial transcriptomics. Three-dimensional molecular cartography of human cerebral organoids revealed by double-barcoded spatial transcriptomics
Spatially-resolved transcriptomics methodologies are revolutionizing our understanding of complex tissues, but their elevated costs represent still a bottle-neck for their democratization. In this wor
NIAID Data Ecosystem20
Additional file 1 of Spatial insights into immunotherapy response in non-small cell lung cancer (NSCLC) by multiplexed tissue imaging
Additional file 1: Fig. S1 a Representative immunofluorescent images of TMA cores in the assay. DAPI (White), CD45 (Blue), Pan-cytokeratin (Red). b Representative immunofluorescent images of markers i
NIAID Data Ecosystem00
Single-Cell Transcriptome Profiling Reveals Intratumoral Heterogeneity and Molecular Features in Ductal Carcinoma In Situ of the Breast
This sample was collected to conduct spacial transcriptome analysis of breast cancer. We analyzed heterogeneity of HER2+ ducal cacinoma in situ (DCIS). We obtained transcriptome data from 1,521 distin
NIAID Data Ecosystem40
Table about the genetic networks of C.elegans with positional information.
Table about the genetic networks of C.elegans with positional information.
NIAID Data Ecosystem00
