ReviewInternational journal of biological sciences2023
Novel insights from spatial transcriptome analysis in solid tumors.
Review in International journal of biological sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
15 citing papers in PubMed.
- The CAGE Framework (Calcium-Gated Excitability): From Single Neurotransmitters to Calcium States in the Tumor Microenvironment.International journal of molecular sciences · 2026Review
- Review
- Review
- Integrative Single-Cell and Spatial Transcriptomics Reveal Functional and Spatial Heterogeneity of Atrial and Ventricular Cardiomyocytes in the Heart.Molecular biotechnology · 2026Article
- PathCLAST: pathway-augmented contrastive learning with attention for interpretable spatial transcriptomics.Briefings in bioinformatics · 2026Article
- The regulatory roles and therapeutic strategies of the solute carrier transporters in cancer metabolism.NPJ precision oncology · 2026Review
- Molecular mechanisms and clinical significance of the glioma metabolic-immune axis: a comprehensive review.Frontiers in immunology · 2026Review
- Research progress on the spatiotemporal dynamics of therapy-induced senescence in remodeling the tumor microenvironment.Frontiers in immunology · 2026Review
- Spatial multi-omics technologies in gastric cancer: applications and advances.Frontiers in immunology · 2026Review
- DiSTect: a Bayesian model for disease-associated gene discovery and prediction in spatial transcriptomics.Bioinformatics (Oxford, England) · 2025Article
- Progress and applications of single-cell RNA sequencing and spatial transcriptome technology in acute kidney injury research.Molecular therapy. Nucleic acids · 2025Review
- Applications and Prospects of Single-Cell RNA Sequencing and Spatial Transcriptomics in Cervical Cancer.BioMed research international · 2025Review
- Cancer vaccine trial evaluations: immunobridging and potential immunological endpoints.Immunotherapy advances · 2025Review
- Advancements in single-cell RNA sequencing and spatial transcriptomics: transforming biomedical research.Acta biochimica Polonica · 2025Review
- Spatial transcriptomics analysis identifies therapeutic targets in diffuse high-grade gliomas.Frontiers in molecular neuroscience · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since its first application in 2016, spatial transcriptomics has become a rapidly evolving technology in recent years. Spatial transcriptomics enables transcriptomic data to be acquired from intact tissue sections and provides spatial distribution information and remedies the disadvantage of single-cell RNA sequencing (scRNA-seq), whose data lack spatially resolved information. Presently, spatial transcriptomics has been widely applied to various tissue types, especially for the study of tumor heterogeneity. In this review, we provide a summary of the research progress in utilizing spatial transcriptomics to investigate tumor heterogeneity and the microenvironment with a focus on solid tumors. We summarize the research breakthroughs in various fields and perspectives due to the application of spatial transcriptomics, including cell clustering and interaction, cellular metabolism, gene expression, immune cell programs and combination with other techniques. As a combination of multiple transcriptomics, single-cell multiomics shows its superiority and validity in single-cell analysis. We also discuss the application prospect of single-cell multiomics, and we believe that with the progress of data integration from various transcriptomics, a multilayered subcellular landscape will be revealed.
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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.