ReviewInternational journal of molecular sciences2022
Single-Cell RNA Sequencing with Spatial Transcriptomics of Cancer Tissues.
Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
59 citing papers in PubMed, 89 citations in OpenAlex.
- Identifying breast cancer subtypes and exploring spatial expression patterns of the key subtype-specific gene based on pathological images, single-cell sequencing, and spatial transcriptomic data.Breast cancer (Tokyo, Japan) · 2026Article
- Targeting MAPK Pathways in Skin, Thyroid, and Pancreatic Cancer: A Perspective on Synthetic Inhibitors and Natural Modulators.Advanced biology · 2026Review
- Article
- Unraveling the Molecular Mechanisms of Glioma Recurrence: A Study Integrating Single-Cell and Spatial Transcriptomics.Annals of clinical and translational neurology · 2026Article
- Long Noncoding RNA Isoform Specificity and Chemical Modification on tRNA-Derived Fragments Leading to Divergent Functions.The American journal of pathology · 2026Review
- Spatial transcriptomics of en bloc transurethral resection of bladder tumor specimens defines an invasive-front gene expression signature.NPJ precision oncology · 2026Article
- RFX5 in cancer: context-dependent molecular functions and emerging translational relevance.Frontiers in immunology · 2026Review
- Multi-omics insights into SERPINE2-driven post-metastatic microenvironmental reprogramming in advanced cancers: implications for molecular targeting and immunotherapy.Frontiers in immunology · 2026Review
- Prognostic gene screening and experimental validation in renal clear cell carcinoma based on spatial transcriptomics and single-cell sequencing.Frontiers in immunology · 2026Article
- Unraveling the FGFR-RNA splicing axis: Mechanisms, oncogenic crosstalks and innovations for therapeutic purpose.Acta pharmaceutica Sinica. B · 2026Review
- Single Cell RNA Sequencing in Colorectal Cancer Immunology: Recent Updates, Application, and Emerging Challenges.Current molecular medicine · 2026Review
- Unraveling tumor associated macrophage biology in gynecological cancers for targeted therapy in the single cell omics era.iScience · 2025Review
- Screening and validation of key genes involved in castration-resistant prostate cancer based on transcriptomics sequencing.Scientific reports · 2025Article
- Comprehensive multi-omics pan-cancer analysis revealed EGFLAM as a potential prognostic and immune infiltration-associated biomarker.BMC cancer · 2025Article
- Spatial Transcriptomics in Lung Cancer and Pulmonary Diseases: A Comprehensive Review.Cancers · 2025Review
- Tumor-infiltrating myeloid cells; mechanisms, functional significance, and targeting in cancer therapy.Cellular oncology (Dordrecht, Netherlands) · 2025Review
- Oral ENPP1 inhibitor designed using generative AI as next generation STING modulator for solid tumors.Nature communications · 2025Article
- Advances in Microfluidic Single-Cell RNA Sequencing and Spatial Transcriptomics.Micromachines · 2025Review
- Unveiling the oncogenic role of SLC25A13: a multi-omics pan-cancer analysis reveals its impact on glioma progression.Cancer cell international · 2025Article
- Pan-cancer analysis identifies ADAM12 as a prognostic biomarker and indicator of immune infiltration in glioma.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single-cell RNA sequencing (RNA-seq) techniques can perform analysis of transcriptome at the single-cell level and possess an unprecedented potential for exploring signatures involved in tumor development and progression. These techniques can perform sequence analysis of transcripts with a better resolution that could increase understanding of the cellular diversity found in the tumor microenvironment and how the cells interact with each other in complex heterogeneous cancerous tissues. Identifying the changes occurring in the genome and transcriptome in the spatial context is considered to increase knowledge of molecular factors fueling cancers. It may help develop better monitoring strategies and innovative approaches for cancer treatment. Recently, there has been a growing trend in the integration of RNA-seq techniques with contemporary omics technologies to study the tumor microenvironment. There has been a realization that this area of research has a huge scope of application in translational research. This review article presents an overview of various types of single-cell RNA-seq techniques used currently for analysis of cancer tissues, their pros and cons in bulk profiling of transcriptome, and recent advances in the techniques in exploring heterogeneity of various types of cancer tissues. Furthermore, we have highlighted the integration of single-cell RNA-seq techniques with other omics technologies for analysis of transcriptome in their spatial context, which is considered to revolutionize the understanding of tumor microenvironment.
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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.