ArticleScientific reports2019
Clonal Evolution and Changes in Two AML Patients Detected with A Novel Single-Cell DNA Sequencing Platform.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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.
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Who cites it
28 citing papers in PubMed, 37 citations in OpenAlex.
- Advances in single-cell DNA sequencing enable insights into human somatic mosaicism.Nature reviews. Genetics · 2025Review
- Microbiome Single Cell Atlases Generated with a Commercial Instrument.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Single-Cell Sequencing: Genomic and Transcriptomic Approaches in Cancer Cell Biology.International journal of molecular sciences · 2025Review
- Dominant TET2 mutations predict adverse prognosis in cytogenetically normal acute myeloid leukemia patients.Frontiers in oncology · 2025Article
- The predictive value of T-cell chimerism for disease relapse after allogeneic hematopoietic stem cell transplantation.Frontiers in immunology · 2024Article
- Microstructured Porous Capacitive Bio-pressure Sensor Using Droplet-based Microfluidics.Journal of medical signals and sensors · 2024Article
- Single-Cell DNA Sequencing and Immunophenotypic Profiling to Track Clonal Evolution in an Acute Myeloid Leukemia Patient.Biomedicines · 2023Article
- Microbiome single cell atlases generated with a commercial instrument.Research square · 2023Article
- Potential value of high-throughput single-cell DNA sequencing of Juvenile myelomonocytic leukemia: report of two cases.NPJ systems biology and applications · 2023Article
- Transitioning single-cell genomics into the clinic.Nature reviews. Genetics · 2023Review
- Single-Cell Analysis in Immuno-Oncology.International journal of molecular sciences · 2023Review
- Current and Emerging Techniques for Diagnosis and MRD Detection in AML: A Comprehensive Narrative Review.Cancers · 2023Review
- Measurable Residual Disease and Clonal Evolution in Acute Myeloid Leukemia from Diagnosis to Post-Transplant Follow-Up: The Role of Next-Generation Sequencing.Biomedicines · 2023Review
- Distinct Patterns of Clonal Evolution Drive Myelodysplastic Syndrome Progression to Secondary Acute Myeloid Leukemia.Blood cancer discovery · 2022Article
- Single-Cell Sequencing: Ariadne's Thread in the Maze of Acute Myeloid Leukemia.Diagnostics (Basel, Switzerland) · 2022Review
- Developmental venous anomalies are a genetic primer for cerebral cavernous malformations.Nature cardiovascular research · 2022Article
- Robotic automation of droplet microfluidics.Biomicrofluidics · 2022Article
- The contribution of single-cell analysis of acute leukemia in the therapeutic strategy.Biomarker research · 2021Review
- Article
- Applying high-dimensional single-cell technologies to the analysis of cancer immunotherapy.Nature reviews. Clinical oncology · 2021Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Next-generation sequencing (NGS) is used to detect gene variants in genetically complex cell populations of cancer patient samples. Traditional bulk analysis can only provide average variant allele frequencies of the targeted genes across all sampled cells. It fails to resolve mutational co-occurrences and may miss rare cancer cells. Genome analysis at the single cell level offers the opportunity to more fully resolve clonal architecture. Peripheral blood mononuclear cells were sampled from acute myeloid leukemia patients longitudinally and single-cell DNA sequencing libraries were generated with a novel droplet-based microfluidics approach. Molecular profiling of single nucleotide variants across thousands of cells revealed genetic chimerism in patients after bone marrow transplantation (BMT). Importantly, hierarchical clustering analysis of single nucleotide variants (SNVs) uncovered a distinct oncogenic clone of cells carrying mutated tumor-suppressor and/or oncogene(s). This novel single-cell DNA sequencing approach enabled precise monitoring of engraftment and revealed clonal evolution of oncogenic cells during the progression and treatment of the disease.
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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.