Fig. 1: snRNAseq identifies non-neoplastic nuclei in the tumor microenvironment. | Nature Communications

Fig. 1: snRNAseq identifies non-neoplastic nuclei in the tumor microenvironment.

From: Re-convolving the compositional landscape of primary and recurrent glioblastoma reveals prognostic and targetable tissue states

Fig. 1: snRNAseq identifies non-neoplastic nuclei in the tumor microenvironment.The alternative text for this image may have been generated using AI.

a Uniform-manifold approximation and projection (UMAP) graphs showing putative non-neoplastic (CNVneg) nuclei from primary glioma, recurrent glioma, low-grade glioma (LGG)—and epilepsy (see supplementary data for the analysis of LGG and epilepsy cases). The nuclei are color-coded by lineage (oligodendrocytes, oligodendrocyte-precursor cells (OPC), neurons, astrocytes, myeloid cells, and endothelial cells). b Dot plots showing normalized expression of select lineage genes (rows) in the lineages from a (columns). The size of each circle corresponds to the proportion of each lineage that expresses a given gene.

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