Single-cell analysis revealed the functions of SIGLEC15 in the TME. (IMAGE)
Caption
(A) Uniform manifold approximation and projection (umap) of BRCA cells in the GSE176078 dataset. (B) Markers for identifying cell types in single-cell datasets. (C) Feature plot of SIGLEC15 in BRCA tissue cells. (D) The cell type proportions of every sample grouped by the median SIGLEC15 expression level. (E) The difference test of cell proportions of cell type in different groups depends on R-package scProportionTest. (F) The number and strength of interactions in the primary tumor TME. (G) Relative information of interactions in the primary tumor TME. (H) Difference of the incoming and outgoing interactions of the cells in SHES and SLES.
Credit
ZhaoFu Tan, Hongbin Xin, Jian Chen, Ming Lei, Gang Tu, Lingfeng Tang
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