ReviewAdvances in experimental medicine and biology2022
Single-Cell Sequencing Technologies in Precision Oncology.
Review in Advances in experimental medicine and biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- Genetic research on childhood obesity and asthma: exploring genetic risk factors and biological mechanisms.Pediatric research · 2026Review
- Single-cell omics in plant biology: mechanistic insights and applications for crop improvement.Advanced biotechnology · 2025Review
- Differential performance of strategies for single-cell whole-genome amplification.Cell reports methods · 2025Article
- Single-Cell RNA Sequencing in Unraveling Acquired Resistance to EGFR-TKIs in Non-Small Cell Lung Cancer: New Perspectives.International journal of molecular sciences · 2025Review
- Integrated molecular and microenvironmental drivers of drug resistance in gastrointestinal cancers: mechanisms, immunotherapy challenges, and precision strategies.Frontiers in oncology · 2025Review
- New Insights into Colorectal Cancer through the Lens of Precision Oncology and Personalized Medicine: Multi-Omics Helps Aging of Predisposed People.Current aging science · 2025Review
- Single-cell sequencing: Current applications in various tuberculosis specimen types.Cell proliferation · 2024Review
- Opportunities and Challenges in Advancing Plant Research with Single-cell Omics.Genomics, proteomics & bioinformatics · 2024Review
- Molecular Classifications in Gastric Cancer: A Call for Interdisciplinary Collaboration.International journal of molecular sciences · 2024Review
- Integrated analysis of single-cell and bulk RNA-sequencing identifies a signature based on NK cell marker genes to predict prognosis and immunotherapy response in hepatocellular carcinoma.Journal of cancer research and clinical oncology · 2023Article
- Single-cell and spatial multi-omics in the plant sciences: Technical advances, applications, and perspectives.Plant communications · 2023Review
- RevGel-seq: instrument-free single-cell RNA sequencing using a reversible hydrogel for cell-specific barcoding.Scientific reports · 2023Article
- Informatics on Drug Repurposing for Breast Cancer.Drug design, development and therapy · 2023Review
- Identification of a novel histone phosphorylation prognostic signature in hepatocellular carcinoma based on bulk and single-cell RNA sequencing.Frontiers in endocrinology · 2022Article
- Current and Emerging Technologies for the Analysis of the Genome-Wide and Locus-Specific DNA Methylation Patterns.Advances in experimental medicine and biology · 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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single-cell sequencing technologies are revolutionizing cancer research and are poised to become the standard for translational cancer studies. Rapidly decreasing costs and increasing throughput and resolution are paving the way for the adoption of single-cell technologies in clinical settings for personalized medicine applications. In this chapter, we review the state of the art of single-cell DNA and RNA sequencing technologies, the computational tools to analyze the data, and their potential application to precision oncology. We also discuss the advantages of single-cell over bulk sequencing for the dissection of intra-tumor heterogeneity and the characterization of subclonal cell populations, the implementation of targeted drug repurposing approaches, and describe advanced methodologies for multi-omics data integration and to assess cell signaling at single-cell resolution.
Indexed as
Identifiers
35230694What OpenQuestion holds
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.