ArticleNature communications2023
Application of high-throughput single-nucleus DNA sequencing in pancreatic cancer.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 31 citations in OpenAlex.
- Convergence for Inactivation of TGFβ Signaling Is a Common Feature of Advanced Pancreatic Cancer.Cancer discovery · 2026Article
- Acquired High Tumor Mutational Burden and Activity of Immunotherapy after Targeted Therapy in Microsatellite Stable Colorectal Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026Article
- Integrative modeling of read depth and B-allele frequency improves single-cell copy number calling from targeted DNA sequencing panels.bioRxiv : the preprint server for biology · 2026Article
- Dual pancreatic carcinomas: clonally related or independent primaries?NPJ precision oncology · 2026Article
- Genomic evolution of pancreatic cancer at single-cell resolution.Nature genetics · 2026Article
- Integrative Modeling of Read Depth and B-Allele Frequency Improves Single-Cell Copy Number Calling from Targeted DNA Sequencing Panels.Computational and structural biotechnology journal · 2026Article
- Genome-based classification of pancreatic acinar cell carcinoma reveals similarities to KRAS wild-type PDAC.Journal of translational medicine · 2025Article
- Targeted nanoencapsulation of tunicamycin reduces toxicity while improving its therapeutic effectiveness in pancreatic cancer cells.Molecular therapy. Oncology · 2025Article
- Evolution and Co-occurrence of PI3K Pathway Gene Mutations in Endometrial Carcinoma Molecular Subtypes at the Single-Cell Level.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025Article
- Bayesian inference of fitness landscapes via tree-structured branching processes.Bioinformatics (Oxford, England) · 2025Article
- Unlocking the Genetic Secrets of Pancreatic Cancer:Cancers · 2025Review
- Article
- Single nucleus DNA sequencing of flow sorted archived frozen and formalin fixed paraffin embedded solid tumors.BMC genomics · 2024Article
- Mechanism of neurodegeneration mediated by clonal inflammatory microglia.bioRxiv : the preprint server for biology · 2024Article
- ConDoR: tumor phylogeny inference with a copy-number constrained mutation loss model.Genome biology · 2023Article
- CellGO: a novel deep learning-based framework and webserver for cell-type-specific gene function interpretation.Briefings in bioinformatics · 2023Article
- Application of high-throughput single-nucleus DNA sequencing in pancreatic cancer.Nature communications · 2023Article
- Reconstructing mutational lineages in breast cancer by multi-patient-targeted single-cell DNA sequencing.Cell genomics · 2023Article
- ConDoR: Tumor phylogeny inference with a copy-number constrained mutation loss model.bioRxiv : the preprint server for biology · 2023Article
Corrections and comments
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Authors and funding
13 authors at 2 institutions in 2 countries.
Funding
Abstract
Despite insights gained by bulk DNA sequencing of cancer it remains challenging to resolve the admixture of normal and tumor cells, and/or of distinct tumor subclones; high-throughput single-cell DNA sequencing circumvents these and brings cancer genomic studies to higher resolution. However, its application has been limited to liquid tumors or a small batch of solid tumors, mainly because of the lack of a scalable workflow to process solid tumor samples. Here we optimize a highly automated nuclei extraction workflow that achieves fast and reliable targeted single-nucleus DNA library preparation of 38 samples from 16 pancreatic ductal adenocarcinoma patients, with an average library yield per sample of 2867 single nuclei. We demonstrate that this workflow not only performs well using low cellularity or low tumor purity samples but reveals genomic evolution patterns of pancreatic ductal adenocarcinoma as well.
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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.