Fig. 1: Integration and deconvolution of ST data from eight HGSOC patient samples. | npj Precision Oncology

Fig. 1: Integration and deconvolution of ST data from eight HGSOC patient samples.

From: Exploring drug resistance via intercellular crosstalk using spatial transcriptomics in high-grade serous ovarian carcinoma

Fig. 1

a Schematic diagram of the sample collection and data analysis workflow. b Hematoxylin and eosin (HE)-stained images and annotations using SpaCET and STdeconvolve. The final annotation was determined from the two results. Representative images from the resistant2 sample are shown. c Final annotation results for each sample. The spots were annotated as malignant, CAF, endothelial, macrophage, or mixed. d Proportions of annotations and UMAP generated after the eight annotated samples were integrated. Most spots were annotated as malignant, CAF, or mixed. e Expression levels of representative markers in malignant spots, CAF spots, and macrophage spots.

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