ArticleGenome biology2011
Single-cell copy number variation detection.
Article in Genome biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.
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- Representation of genomic intratumor heterogeneity in multi-region non-small cell lung cancer patient-derived xenograft models.Nature communications · 2024Article
- Spatial and temporal intra-tumoral heterogeneity in advanced HGSOC: Implications for surgical and clinical outcomes.Cell reports. Medicine · 2023Article
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- Single-cell sequencing of genomic DNA resolves sub-clonal heterogeneity in a melanoma cell line.Communications biology · 2020Article
- Spatial heterogeneity of the T cell receptor repertoire reflects the mutational landscape in lung cancer.Nature medicine · 2019Article
- Pan-cancer analysis of homozygous deletions in primary tumours uncovers rare tumour suppressors.Nature communications · 2017Article
- Studying hematopoiesis using single-cell technologies.Journal of hematology & oncology · 2017Review
- Single-cell genome sequencing: current state of the science.Nature reviews. Genetics · 2016Review
- Copy number variations alter methylation and parallel IGF2 overexpression in adrenal tumors.Endocrine-related cancer · 2015Article
- Single-Cell Analysis in Cancer Genomics.Trends in genetics : TIG · 2015Review
- Reliable single cell array CGH for clinical samples.PloS one · 2014Article
- Article
- Single cell segmental aneuploidy detection is compromised by S phase.Molecular cytogenetics · 2014Article
- Genome-wide copy number profiling of single cells in S-phase reveals DNA-replication domains.Nucleic acids research · 2013Article
- Preimplantation genetic diagnosis guided by single-cell genomics.Genome medicine · 2013Review
- A robust method to analyze copy number alterations of less than 100 kb in single cells using oligonucleotide array CGH.PloS one · 2013Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Detection of chromosomal aberrations from a single cell by array comparative genomic hybridization (single-cell array CGH), instead of from a population of cells, is an emerging technique. However, such detection is challenging because of the genome artifacts and the DNA amplification process inherent to the single cell approach. Current normalization algorithms result in inaccurate aberration detection for single-cell data. We propose a normalization method based on channel, genome composition and recurrent genome artifact corrections. We demonstrate that the proposed channel clone normalization significantly improves the copy number variation detection in both simulated and real single-cell array CGH data.
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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.