ArticleGigaScience2020
A map of tumor-host interactions in glioma at single-cell resolution.
Article in GigaScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed, 45 citations in OpenAlex.
- Transposable elements and homotypic niches drive immune dynamics and resistance in melanoma epigenetic-based immunotherapy.Science advances · 2026Article
- Spatial Omics Technologies in Glioblastoma Research: Principles, Applications, and Best Practices.Genes · 2026Review
- GABA signaling activation drives glioblastoma progression in female mice through myeloid-derived suppressor cells.Nature cancer · 2026Article
- Pharmacologic DPP-4 inhibition promotes CD8bioRxiv : the preprint server for biology · 2026Article
- Reconstructing the glioblastoma microenvironment in heterotypic 3D spheroids: a multicellular model to study tumor-stromal crosstalk.Frontiers in bioengineering and biotechnology · 2026Article
- Microglia and macrophages in glioblastoma: landscapes and treatment directions.Molecular oncology · 2024Review
- Analysis of transcription profiles for the identification of master regulators as the key players in glioblastoma.Computational and structural biotechnology journal · 2024Article
- An integrated approach identifies the molecular underpinnings of murine anterior visceral endoderm migration.Developmental cell · 2024Article
- A Comparison of Tools That Identify Tumor Cells by Inferring Copy Number Variations from Single-Cell Experiments in Pancreatic Ductal Adenocarcinoma.Biomedicines · 2024Article
- CopyVAE: a variational autoencoder-based approach for copy number variation inference using single-cell transcriptomics.Bioinformatics (Oxford, England) · 2024Article
- Article
- Gene therapy using genome-edited iPS cells for targeting malignant glioma.Bioengineering & translational medicine · 2023Article
- PHGDH-mediated endothelial metabolism drives glioblastoma resistance to chimeric antigen receptor T cell immunotherapy.Cell metabolism · 2023Article
- A variational algorithm to detect the clonal copy number substructure of tumors from scRNA-seq data.Nature communications · 2023Article
- Exosomal non-coding RNAs in glioma progression: insights into tumor microenvironment dynamics and therapeutic implications.Frontiers in cell and developmental biology · 2023Review
- Distinct Cell Adhesion Signature Defines Glioblastoma Myeloid-Derived Suppressor Cell Subsets.Cancer research · 2022Article
- Glioblastoma Microenvironment and Cellular Interactions.Cancers · 2022Review
- Identification and Validation of Hub Genes for Predicting Treatment Targets and Immune Landscape in Rheumatoid Arthritis.BioMed research international · 2022Article
- Review
- Intrinsic Interferon Signaling Regulates the Cell Death and Mesenchymal Phenotype of Glioblastoma Stem Cells.Cancers · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 7 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSingle-cell RNA sequencing is the reference technique for characterizing the heterogeneity of the tumor microenvironment. The composition of the various cell types making up the microenvironment can significantly affect the way in which the immune system activates cancer rejection mechanisms. Understanding the cross-talk signals between immune cells and cancer cells is of fundamental importance for the identification of immuno-oncology therapeutic targets.
resultsWe present a novel method, single-cell Tumor-Host Interaction tool (scTHI), to identify significantly activated ligand-receptor interactions across clusters of cells from single-cell RNA sequencing data. We apply our approach to uncover the ligand-receptor interactions in glioma using 6 publicly available human glioma datasets encompassing 57,060 gene expression profiles from 71 patients. By leveraging this large-scale collection we show that unexpected cross-talk partners are highly conserved across different datasets in the majority of the tumor samples. This suggests that shared cross-talk mechanisms exist in glioma.
conclusionsOur results provide a complete map of the active tumor-host interaction pairs in glioma that can be therapeutically exploited to reduce the immunosuppressive action of the microenvironment in brain tumor.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.