ReviewInternational journal of biological sciences2020
Encoding Method of Single-cell Spatial Transcriptomics Sequencing.
Review in International journal of biological sciences, 2020. 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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Who cites it
15 citing papers in PubMed.
- Amplification bias in sequencing-based spatial transcriptomics: sources, mechanisms, impacts, and mitigation strategies.Briefings in bioinformatics · 2026Review
- Tumor evolution: signaling pathways, molecular mechanisms and therapeutic targets.Signal transduction and targeted therapy · 2026Review
- The applications of single-cell and spatial transcriptomics in neuroscience and brain disorders.Neuroscience and biobehavioral reviews · 2026Review
- Spatial omics insights into tumor myeloid cells: roles in tumorigenesis, prognosis, and therapy.Molecular biology reports · 2026Review
- Biomaterial-mediated Cell Atlas: an insight from single-cell and spatial transcriptomics.Bioactive materials · 2025Review
- Single-cell multi-omics in the study of digestive system cancers.Computational and structural biotechnology journal · 2024Review
- Single-cell sequencing to multi-omics: technologies and applications.Biomarker research · 2024Review
- Spatiotemporal multi-omics: exploring molecular landscapes in aging and regenerative medicine.Military Medical Research · 2024Review
- STOmicsDB: a comprehensive database for spatial transcriptomics data sharing, analysis and visualization.Nucleic acids research · 2024Article
- Spatial Transcriptomics: A Powerful Tool in Disease Understanding and Drug Discovery.Theranostics · 2024Review
- Non-coding RNAs expression in SARS-CoV-2 infection: pathogenesis, clinical significance, and therapeutic targets.Signal transduction and targeted therapy · 2023Review
- Spatial RNA sequencing methods show high resolution of single cell in cancer metastasis and the formation of tumor microenvironment.Bioscience reports · 2023Review
- Review
- Harnessing Single-Cell RNA Sequencing to Better Understand How Diseased Cells Behave the Way They Do in Cardiovascular Disease.Arteriosclerosis, thrombosis, and vascular biology · 2021Review
- Deubiquitinating Enzymes Orchestrate the Cancer Stem Cell-Immunosuppressive Niche Dialogue: New Perspectives and Therapeutic Potential.Frontiers in cell and developmental biology · 2021Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite significant advances in parallel single-cell RNA sequencing revealing astonishing cellular heterogeneity in many tissue types, the spatial information in the tissue context remains missing. Spatial transcriptome sequencing technology is designed to distinguish the gene expression of individual cells in their original location. The technology is important for the identification of tissue function, tracking developmental processes, and pathological and molecular detection. Encoding the position information is the key to spatial transcriptomics because different methods have different encoding efficiencies and application scenarios. In this review, we focus on the latest technologies of single-cell spatial transcriptomics, including technologies based on microwell plates, barcoded bead arrays, microdissection,
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