ReviewCurrent opinion in genetics & development2017
Recent progress in single-cell cancer genomics.
Review in Current opinion in genetics & development, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 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
30 citing papers in PubMed.
- Article
- Sequence-Based Platforms for Discovering Biomarkers in Liquid Biopsy of Non-Small-Cell Lung Cancer.Cancers · 2023Review
- SECANT: a biology-guided semi-supervised method for clustering, classification, and annotation of single-cell multi-omics.PNAS nexus · 2022Article
- Characterization of gene cluster heterogeneity in single-cell transcriptomic data within and across cancer types.Biology open · 2022Article
- In vivo microscopy as an adjunctive tool to guide detection, diagnosis, and treatment.Journal of biomedical optics · 2022Article
- Single Cell Self-Paced Clustering with Transcriptome Sequencing Data.International journal of molecular sciences · 2022Article
- Pollock: fishing for cell states.Bioinformatics advances · 2022Article
- Tackling Current Biomedical Challenges With Frontier Biofabrication and Organ-On-A-Chip Technologies.Frontiers in bioengineering and biotechnology · 2021Review
- Population mutation properties of tumor evolution.Medical oncology (Northwood, London, England) · 2020Article
- Variance-adjusted Mahalanobis (VAM): a fast and accurate method for cell-specific gene set scoring.Nucleic acids research · 2020Article
- Genetic Variants Contributing to Early Recurrent Pregnancy Loss Etiology Identified by Sequencing Approaches.Reproductive sciences (Thousand Oaks, Calif.) · 2020Review
- Genetic Hallmarks and Heterogeneity of Glioblastoma in the Single-Cell Omics Era.Advanced therapeutics · 2020Article
- Single-Cell Applications of Next-Generation Sequencing.Cold Spring Harbor perspectives in medicine · 2019Review
- A mathematical model of combined CD8 T cell costimulation by 4-1BB (CD137) and OX40 (CD134) receptors.Scientific reports · 2019Article
- Accurate estimation of cell-type composition from gene expression data.Nature communications · 2019Article
- Next-Generation Sequencing Strategies.Cold Spring Harbor perspectives in medicine · 2019Review
- Luminescent nanomaterials for droplet tracking in a microfluidic trapping array.Analytical and bioanalytical chemistry · 2019Article
- Single Cell Omics of Breast Cancer: An Update on Characterization and Diagnosis.Indian journal of clinical biochemistry : IJCB · 2019Review
- Single-Cell Analysis of Circulating Tumor Cells: How Far Have We Come in the -Omics Era?Frontiers in genetics · 2019Review
- Understanding tumor ecosystems by single-cell sequencing: promises and limitations.Genome biology · 2018Review
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
Abstract
The advent of single-cell sequencing has been revolutionary to the field of cancer genomics. Perfectly suited to capture cancer's heterogeneous nature, single-cell analyses provide information bulk sequencing could never hope to uncover. Many mechanisms of cancer have yet to be fully understood, and single-cell approaches are showing promise in their abilities to uncover these mysteries. Here we focus on the most recent single-cell methods for cancer genomics, and how they are not only providing insights into the inner workings of cancer, but are also transforming individualized therapy and non-invasive monitoring and diagnosis.
Indexed as
Identifiers
What 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.