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Help

Welcome to the pan-tumor vasculature atlas !

In the landing page you can see some general information about the database: (1) The home page introduces the main content and functionality of the database. (2) The database mainly stores information about vascular endothelial cells (VECs), lymphatic ECs (LECs), and mural cells (MCs). Users can explore the expression levels of genes in different subtypes of cells and the expression dynamics in trajectories by entering genes of interest and selecting "Cell Cluster" or "Trajectory". (3) Access and download the data on significant ligand-receptor (LR) interactions between vasculature cells and microenvironmental cells. (4) Access and download the univariate Cox regression analysis results of vasculature cells. (5) The database supports downloading data for VECs, LECs, and MCs. (6) Each page in the database has its own help page, which can be consulted at anytime. (7) Enter the gene symbol of interest and submit to quickly view the gene expression levels in VECs, LECs, and MCs.

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    Welcome to Pan-tumor Vasculature Atlas.

    Main Content and Function

    The growth and metastasis of tumor cells cannot progress without blood supply. Tumor cells can obtain the required nutrients and oxygen by inducing angiogenesis. Tumor vasculature is morphologically and molecularly different from normal vasculature.

    By performing in silico sorting of ECs and MCs in both in-house and public datasets of 437 tumor/adjacent non-tumor (ANT) samples from 372 donors, we compiled a single-cell transcriptome atlas of tumor vascular microenvironment (TVM), including 183,977 TVM cells that cover 31 cancer types in virtually all tissues of the body.

    At the single-cell resolution, we dissected vascular endothelial cells (VECs), lymphatic ECs (LECs), and mural cells (MCs). Our findings contributed to understanding the tumor angiogenesis processes, LEC lineages, MC phenotypes, and intercellular interactions associated with the tumor vascular microenvironment (TVM).

    Our comprehensive TVM compilations complemented a missing piece of jigsaw puzzle for the single-cell pan-tumor atlas and provided a reference perspective on tumor vascular normalization and anti-angiogenic therapy. We have compiled gene expression and cell trajectory data concerning VECs, LECs, and MCs from our research into this web resource. Researchers can investigate the expression levels of particular genes within VECs, LECs, and MCs subtypes by inputting their genes of interest, as well as track gene expression changes across pseudo time series. This functionality will aid users in exploring the expression profiles of various genes during angiogenesis.