ReviewCancers2022
Single-Cell Sequencing: Current Applications in Precision Onco-Genomics and Cancer Therapeutics.
Review in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 25 citations in OpenAlex.
- Pan-cancer characterization of POSTN and its clinical and microenvironmental associations in ERScientific reports · 2026Article
- Kidney diseases and single-cell sequencing research: a bibliometric analysis from 2015 to 2024.Renal failure · 2025Review
- Applications of single-cell analysis in immunotherapy for lung cancer: Current progress, new challenges and expectations.Journal of advanced research · 2025Review
- Label-free single-cell phenotyping to determine tumor cell heterogeneity in pancreatic cancer in real time.JCI insight · 2025Article
- Single-cell Rapid Capture Hybridization sequencing reliably detects isoform usage and coding mutations in targeted genes.Genome research · 2025Article
- Advancements in single-cell RNA sequencing and spatial transcriptomics: transforming biomedical research.Acta biochimica Polonica · 2025Review
- GRB7 Plays a Vital Role in Promoting the Progression and Mediating Immune Evasion of Ovarian Cancer.Pharmaceuticals (Basel, Switzerland) · 2024Article
- LINCATRA: Two-cycle method to amplify RNA for transcriptome analysis from formalin-fixed paraffin-embedded tissue.Heliyon · 2024Article
- Decoding leukemia at the single-cell level: clonal architecture, classification, microenvironment, and drug resistance.Experimental hematology & oncology · 2024Review
- Recent progress and applications of single-cell sequencing technology in breast cancer.Frontiers in genetics · 2024Review
- Article
- Review
- Advances in novel strategies for isolation, characterization, and analysis of CTCs and ctDNA.Therapeutic advances in medical oncology · 2023Review
- Single-cell sequencing: promises and challenges for human genetics.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2022Article
- Single-cell isogrowth profiling: Uniform inhibition uncovers non-uniform drug responses.Clinical and translational medicine · 2022Article
- Editorial: Integrative analysis of single-cell and/or bulk multi-omics sequencing data.Frontiers in genetics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single-cell sequencing encompasses a variety of technologies that evaluate cells at the genomic, transcriptomic, epigenomic, and proteomic levels. Each of these levels can be split into additional techniques that enable specific and optimized sequencing for a specialized purpose. At the transcriptomic level, single-cell sequencing has been used to understand immune-malignant cell networks, as well as differences between primary versus metastatic tumors. At the genomic and epigenomic levels, single-cell sequencing technology has been used to study genetic mutations involved in tumor evolution or the reprogramming of regulatory elements present in metastasized disease, respectively. Lastly, at the proteomic level, single-cell sequencing has been used to identify biomarkers important for predicting patient prognosis, as well as biomarkers essential for evaluating optimal treatment strategies. Integrated databases and atlases, as a result of large sequencing experiments, provide a vast array of information that can be applied to various studies and accessed by researchers to further answer scientific questions. This review summarizes recent, high-impact literature covering these aspects, as well as single-cell sequencing in the translational setting. Specifically, we review the potential that single-cell sequencing has in the clinic and its implementation in current clinical studies.
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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.