ArticleProceedings of the National Academy of Sciences of the United States of America2014
Dissecting the clonal origins of childhood acute lymphoblastic leukemia by single-cell genomics.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 159 papers.
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Who cites it
159 citing papers in PubMed, 303 citations in OpenAlex.
- A single-cell lens into the co-evolution of genotypes and phenotypes in cancer.Nature reviews. Cancer · 2026Review
- Tumor evolution: signaling pathways, molecular mechanisms and therapeutic targets.Signal transduction and targeted therapy · 2026Review
- Advances in single-cell DNA sequencing enable insights into human somatic mosaicism.Nature reviews. Genetics · 2025Review
- Absolute copy number aware CNV calling of sub-megabase segments in ultra-low coverage single-cell DNA sequencing data.Nucleic acids research · 2025Article
- Research progress and the prospect of using single-cell sequencing technology to explore the characteristics of the tumor microenvironment.Genes & diseases · 2025Review
- Single-cell omics: experimental workflow, data analyses and applications.Science China. Life sciences · 2025Review
- Deconvolution and phylogeny inference of diverse variant types integrating bulk DNA-seq with single-cell RNA-seq.Bioinformatics advances · 2025Article
- Transient Differentiation-State Plasticity Occurs during Acute Lymphoblastic Leukemia Initiation.Cancer research · 2024Article
- Heterogeneity and molecular landscape of melanoma: implications for targeted therapy.Molecular biomedicine · 2024Review
- Comparison of high-throughput single-cell RNA-seq methods for ex vivo drug screening.NAR genomics and bioinformatics · 2024Article
- Decoding leukemia at the single-cell level: clonal architecture, classification, microenvironment, and drug resistance.Experimental hematology & oncology · 2024Review
- Computational immunogenomic approaches to predict response to cancer immunotherapies.Nature reviews. Clinical oncology · 2024Review
- Assessing the performance of methods for cell clustering from single-cell DNA sequencing data.PLoS computational biology · 2023Article
- Barcoded multiple displacement amplification for high coverage sequencing in spatial genomics.Nature communications · 2023Article
- A weighted distance-based approach for deriving consensus tumor evolutionary trees.Bioinformatics (Oxford, England) · 2023Article
- Review
- Application of high-throughput single-nucleus DNA sequencing in pancreatic cancer.Nature communications · 2023Article
- Review
- Reconstructing mutational lineages in breast cancer by multi-patient-targeted single-cell DNA sequencing.Cell genomics · 2023Article
- ipaQTL-atlas: an atlas of intronic polyadenylation quantitative trait loci across human tissues.Nucleic acids research · 2023Article
99 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
3 authors at 2 institutions in 1 country.
Funding
Abstract
Many cancers have substantial genomic heterogeneity within a given tumor, and to fully understand that diversity requires the ability to perform single cell analysis. We performed targeted sequencing of a panel of single nucleotide variants (SNVs), deletions, and IgH sequences in 1,479 single tumor cells from six acute lymphoblastic leukemia (ALL) patients. By accurately segregating groups of cooccurring mutations into distinct clonal populations, we identified codominant clones in the majority of patients. Evaluation of intraclonal mutation patterns identified clone-specific punctuated cytosine mutagenesis events, showed that most structural variants are acquired before SNVs, determined that KRAS mutations occur late in disease development but are not sufficient for clonal dominance, and identified clones within the same patient that are arrested at varied stages in B-cell development. Taken together, these data order the sequence of genetic events that underlie childhood ALL and provide a framework for understanding the development of the disease at single-cell resolution.
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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.