
A. Experimental workflow for digital spatial profiling on the GeoMx platform (NanoString)

B. Spatial resolution of cell types across ROIs and AOIs. Expression (z-score of normalized counts across AOIs; purple/yellow color bar) of signature genes (rows) from diverse cell types (color legend (4) and left bar) across AOIs (columns, color legend and horizontal bar (3)) profiled by 1,412-gene cancer transcriptome atlas or CTA, capturing epithelial (green), fibroblasts (blue) and immune (red) cells, from ROIs characterized by presence or absence of immune (color legend and horizontal bar (1)) and fibroblast (color legend and horizontal bar (2)) infiltration. Both columns and rows are clustered by unsupervised hierarchical clustering

C. Box-plots comparing mean normalized gene expression by cluster for basal-like vs. classical-like epithelial AOIs. * p < 0.05, Student’s t-test.
D.Coverage of PDAC snRNA-seq programs by CTA and WTA digital spatial profiling. Number of genes (y axis) from each untreated malignant cell program (x axis) captured by CTA only (white), WTA only (black), or both (grey)
E. Impact of gene panel on program scores. Spearman correlation coefficient () between the scores for different untreated malignant programs (x axis) obtained with WTA using the full gene panel vs. the gene subset shared with the CTA assay
近年,随着空间生物学时代的到来,空间转录组技术在肿瘤免疫、肿瘤微环境的深度分析应用日新月异。Nanostring GeoMx DSP作为目前肿瘤免疫、微环境研究领域的创新性解决方案和工具,已被国内外多个团队用于肿瘤,神经科学以及新冠病毒研究。
为使该前沿创新技术不断助力肿瘤免疫等相关研究,Nanostring将与冷泉港生物科技股有限公司于2020年10月15号下午共同举办“空间多组学及癌症研究技术研讨会暨第四届Nanostring大中华区用户会”,届时将邀请中国大陆和台湾地区的知名肿瘤研究的专家进行技术研讨。
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