ReviewGenome biology2014
Cancer genomics: one cell at a time.
Review in Genome biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 176 papers, 1 of them a synthesis that pooled it.
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
176 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Associations between genetic polymorphisms inCancer biology & therapy · 2020Pooled it
- Phylogenetic and phylodynamic approaches to understanding the evolution of non-small cell lung cancer using single-cell sequencing.Oncogene · 2026Article
- Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data.PLoS computational biology · 2026Article
- DIAG: A Framework for Evaluating Whole-Genome Amplification Quality in Single-Cell SNV Analysis.Biology · 2026Article
- Whole-Genome Amplification of Single Circulating Tumor Cells from Mice Xenografts.Methods in molecular biology (Clifton, N.J.) · 2026Article
- DelSIEVE: cell phylogeny modeling of single nucleotide variants and deletions from single-cell DNA sequencing data.Genome biology · 2025Article
- Differential performance of strategies for single-cell whole-genome amplification.Cell reports methods · 2025Article
- Glioblastoma Stem Cells at the Nexus of Tumor Heterogeneity, Immune Evasion, and Therapeutic Resistance.Cells · 2025Review
- DICE: fast and accurate distance-based reconstruction of single-cell copy number phylogenies.Life science alliance · 2025Article
- Whole exome sequencing and single-cell DNA sequencing for assessment of clonal heterogeneity and evolution in acute myeloid leukemia.Computational and structural biotechnology journal · 2025Article
- From bench to bytes: a practical guide to RNA sequencing data analysis.Frontiers in genetics · 2025Review
- Progress of single-cell sequencing technology in immunotherapy for tuberculosis.Frontiers in cellular and infection microbiology · 2025Review
- A clustering approach to integrative analyses of multiomic cancer data.Journal of applied statistics · 2025Article
- Improved allele-specific single-cell copy number estimation in low-coverage DNA-sequencing.Bioinformatics (Oxford, England) · 2024Article
- Single-Cell Sequencing Technology and Its Application in the Study of Central Nervous System Diseases.Cell biochemistry and biophysics · 2024Review
- Novel Isolating Approaches to Circulating Tumor Cell Enrichment Based on Microfluidics: A Review.Micromachines · 2024Review
- Scuphr: A probabilistic framework for cell lineage tree reconstruction.PLoS computational biology · 2024Article
- Review
- Inferring single-cell copy number profiles through cross-cell segmentation of read counts.BMC genomics · 2024Article
- Immunophenotyping myelodysplastic neoplasms: the role of flow cytometry in the molecular classification era.Frontiers in oncology · 2024Review
116 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
1 author.
Funding
Abstract
The study of single cancer cells has transformed from qualitative microscopic images to quantitative genomic datasets. This paradigm shift has been fueled by the development of single-cell sequencing technologies, which provide a powerful new approach to study complex biological processes in human cancers.
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.