ReviewBriefings in functional genomics2018
Application of single-cell sequencing in human cancer.
Review in Briefings in functional genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic analysis of circRNA biomarkers for diagnosis, prognosis and therapy in colorectal cancer.Frontiers in genetics · 2022Pooled it
- Single-cell sequencing technology in skin wound healing.Burns & trauma · 2024Review
- Microfluidic design in single-cell sequencing and application to cancer precision medicine.Cell reports methods · 2023Review
- Single-cell RNA-Seq and bulk RNA-Seq reveal reliable diagnostic and prognostic biomarkers for CRC.Journal of cancer research and clinical oncology · 2023Article
- ScRNA-seq and bulk RNA-seq reveal the characteristics of ferroptosis and establish a risk signature in cholangiocarcinoma.Molecular therapy oncolytics · 2022Article
- Laser Capture Microdissection: A Gear for Pancreatic Cancer Research.International journal of molecular sciences · 2022Review
- Intra-tumor heterogeneity and prognostic risk signature for hepatocellular carcinoma based on single-cell analysis.Experimental biology and medicine (Maywood, N.J.) · 2022Article
- Aging weakens Th17 cell pathogenicity and ameliorates experimental autoimmune uveitis in mice.Protein & cell · 2022Article
- Single-Cell RNA Sequencing with Spatial Transcriptomics of Cancer Tissues.International journal of molecular sciences · 2022Review
- Single-Cell Sequencing and Its Applications in Liver Cancer.Frontiers in oncology · 2022Review
- Constructing a Prognostic Gene Signature for Lung Adenocarcinoma Based on Weighted Gene Co-Expression Network Analysis and Single-Cell Analysis.International journal of general medicine · 2022Article
- Cancer Risk and Mutational Patterns Following Organ Transplantation.Frontiers in cell and developmental biology · 2022Review
- Application and prospects of single cell sequencing in tumors.Biomarker research · 2021Review
- Therapeutic Effect of IL-38 on Experimental Autoimmune Uveitis: Reprogrammed Immune Cell Landscape and Reduced Th17 Cell Pathogenicity.Investigative ophthalmology & visual science · 2021Article
- Microfluidics applications for high-throughput single cell sequencing.Journal of nanobiotechnology · 2021Review
- Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression-Morphology Analysis in Breast Cancer.Cancer research · 2021Article
- A Glycolysis-Related Five-Gene Signature Predicts Biochemical Recurrence-Free Survival in Patients With Prostate Adenocarcinoma.Frontiers in oncology · 2021Article
- Single-cell sequencing of genomic DNA resolves sub-clonal heterogeneity in a melanoma cell line.Communications biology · 2020Article
- Non-templated addition and template switching by Moloney murine leukemia virus (MMLV)-based reverse transcriptases co-occur and compete with each other.The Journal of biological chemistry · 2019Article
- Whole genome amplification of single epithelial cells dissociated from snap-frozen tissue samples in microfluidic platform.Biomicrofluidics · 2019Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Precision medicine is emerging as a cornerstone of future cancer care with the objective of providing targeted therapies based on the molecular phenotype of each individual patient. Traditional bulk-level molecular phenotyping of tumours leads to significant information loss, as the molecular profile represents an average phenotype over large numbers of cells, while cancer is a disease with inherent intra-tumour heterogeneity at the cellular level caused by several factors, including clonal evolution, tissue hierarchies, rare cells and dynamic cell states. Single-cell sequencing provides means to characterize heterogeneity in a large population of cells and opens up opportunity to determine key molecular properties that influence clinical outcomes, including prognosis and probability of treatment response. Single-cell sequencing methods are now reliable enough to be used in many research laboratories, and we are starting to see applications of these technologies for characterization of human primary cancer cells. In this review, we provide an overview of studies that have applied single-cell sequencing to characterize human cancers at the single-cell level, and we discuss some of the current challenges in the field.
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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.