ReviewJournal of hematology & oncology2023
Advances in single-cell RNA sequencing and its applications in cancer research.
Review in Journal of hematology & oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
119 citing papers in PubMed.
- Rates of Evolution Differ Between Cell Types Identified by Single-Cell RNAseq in Threespine Stickleback.Molecular ecology · 2026Article
- Natural killer cell-derived extracellular vesicles reprogram cellular human immunity to enhance tumor cytotoxicity.Molecular therapy. Oncology · 2026Article
- Integrative analysis of single-cell sequencing identifies CD8Translational cancer research · 2026Article
- A whole-blood cryopreservation method streamlines clinical sample collection for multimodal single-cell immune profiling in sepsis.JCI insight · 2026Article
- Tumor-Intrinsic DNA Damage Signaling Is Associated with MHC-I Expression and CD8 Cytotoxic T-Cell Engagement in Triple-Negative Breast Cancer.Current issues in molecular biology · 2026Article
- Transcriptomic and epigenomic insights into ovarian cancer: a bioinformatics perspective - a narrative review.Annals of medicine and surgery (2012) · 2026Article
- RNA Sequencing Technologies in Acute Lymphoblastic Leukemia: A Comparative Technical Review.Current issues in molecular biology · 2026Review
- Integrating single-cell RNA sequencing with multi-omics to decode disease microenvironments.Molecular biology reports · 2026Review
- Integrating Single-Cell Profiling with Generative AI forMolecules (Basel, Switzerland) · 2026Article
- scResponse: A Rank-Based Method for Identifying Cell States That Contribute to Immunotherapy Response by Single-Cell Data.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Immune Landscape and Tumour Heterogeneity in Ovarian Cancer: Insights From Single-Cell RNA Sequencing.Journal of cellular and molecular medicine · 2026Review
- STEER: decoupling kinetics with Spatial-Temporal Explainable Expert model for RNA velocity inference.National science review · 2026Article
- Identification of tumor initiating cells and early marker genes in histologically normal colonic mucosa that lead to neoplastic transformation.Neoplasia (New York, N.Y.) · 2026Article
- Single-cell transcriptome analysis identifies neutrophil-related prognostic signatures in hepatocellular carcinoma.Journal of gastrointestinal oncology · 2026Article
- Article
- Comprehensive guide for optimizing octopus immune cell preparation to enhance single cell RNA sequencing success.Scientific reports · 2026Article
- Clinical applications of immunogenomics in hepatocellular carcinoma.Clinical and molecular hepatology · 2026Review
- Enhancing gastric cancer immunotherapy: Insights from multi-omics analysis and innovations in photodynamic-chemotherapy nanoplatforms.Cell reports. Medicine · 2026Article
- Multi-omics integration reveals tumor and microenvironmental heterogeneity in malignant pleural mesothelioma.Discover oncology · 2026Article
- Single-cell advances in the investigation of the pathogenesis and treatment of brain metastasis.Neuro-oncology advances · 2026Review
59 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancers are a group of heterogeneous diseases characterized by the acquisition of functional capabilities during the transition from a normal to a neoplastic state. Powerful experimental and computational tools can be applied to elucidate the mechanisms of occurrence, progression, metastasis, and drug resistance; however, challenges remain. Bulk RNA sequencing techniques only reflect the average gene expression in a sample, making it difficult to understand tumor heterogeneity and the tumor microenvironment. The emergence and development of single-cell RNA sequencing (scRNA-seq) technologies have provided opportunities to understand subtle changes in tumor biology by identifying distinct cell subpopulations, dissecting the tumor microenvironment, and characterizing cellular genomic mutations. Recently, scRNA-seq technology has been increasingly used in cancer studies to explore tumor heterogeneity and the tumor microenvironment, which has increased the understanding of tumorigenesis and evolution. This review summarizes the basic processes and development of scRNA-seq technologies and their increasing applications in cancer research and clinical practice.
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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.