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,隨著空間生物學時代的到來,空間轉錄組技術在腫瘤免疫、腫瘤微環境的深度分析應用日新月異。Nanostring GeoMx DSP作為目前腫瘤免疫、微環境研究領域的創新性解決方案和工具,已被國內外多個團隊用于腫瘤,神經科學以及新冠病毒研究。
為使該前沿創新技術不斷助力腫瘤免疫等相關研究,Nanostring將與冷泉港生物科技股有限公司于2020年10月15號下午共同舉辦“空間多組學及癌癥研究技術研討會暨第四屆Nanostring大中華區用戶會”,屆時將邀請中國大陸和臺灣地區的知名腫瘤研究的專家進行技術研討。
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