ArticleNature communications2017
Nanogrid single-nucleus RNA sequencing reveals phenotypic diversity in breast cancer.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 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.
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Who cites it
82 citing papers in PubMed, 124 citations in OpenAlex.
- Uncovering pan-cancer signatures of chemoresistance.Genome medicine · 2026Article
- TLS as Predictors and Targets in Neoadjuvant Chemoimmunotherapy for NSCLC.Thoracic cancer · 2026Review
- ENO1 as a Central Regulator Linking Metabolic Reprogramming to Tumor Plasticity.International journal of molecular sciences · 2026Review
- Single-nucleus RNA sequencing uncovers cell type-specific alterations in OSA-related liver injury.Scientific reports · 2026Article
- Divergent oncogenic signaling and immune microenvironment changes in low-grade serous ovarian cancer patients undergoing intraperitoneal chemotherapy.NPJ precision oncology · 2025Article
- Hybrid BAG-seq: DNA and RNA from the same single nucleus reveals interactions between genomic and transcriptomic landscapes in human tumor samples.Genome biology · 2025Article
- Single-cell transcriptomics reveals biomarker heterogeneity linked to CDK4/6 Inhibitor resistance in breast cancer cell lines.NPJ breast cancer · 2025Article
- Exploration and Application of Malignant Cell Heterogeneity Analysis with Single-Cell Transcriptome Sequencing Technology.Aging and disease · 2025Review
- Small molecule inhibitors for treating breast cancer: drug analysis based on the pathogenesis of breast cancer.Future medicinal chemistry · 2025Review
- A benchmarking study of copy number variation inference methods using single-cell RNA-sequencing data.Precision clinical medicine · 2025Article
- No Evidence for Distinct Transcriptomic Subgroups of Devil Facial Tumor Disease (DFTD).Evolutionary applications · 2025Article
- inDrops-2: a flexible, versatile and cost-efficient droplet microfluidic approach for high-throughput scRNA-seq of fresh and preserved clinical samples.Nucleic acids research · 2025Article
- Single-nucleus RNA sequencing reveals HBV-driven metabolic reprogramming and TIMP1-mediated fibrosis in human-liver-chimeric mice.Frontiers in cellular and infection microbiology · 2025Article
- Longitudinal molecular profiling elucidates immunometabolism dynamics in breast cancer.Nature communications · 2024Article
- Basal-epithelial subpopulations underlie and predict chemotherapy resistance in triple-negative breast cancer.EMBO molecular medicine · 2024Article
- Improved protocol for single-nucleus RNA-sequencing of frozen human bladder tumor biopsies.Nucleus (Austin, Tex.) · 2023Article
- Single cell genomics as a transformative approach for aquaculture research and innovation.Reviews in aquaculture · 2023Review
- Single-Nucleus Transcriptome Profiling of Locally Advanced Cervical Squamous Cell Cancer Identifies Neural-Like Progenitor Program Associated with the Efficacy of Radiotherapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
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22 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 2 countries.
Funding
Abstract
Single cell RNA sequencing has emerged as a powerful tool for resolving transcriptional diversity in tumors, but is limited by throughput, cost and the ability to process archival frozen tissue samples. Here we develop a high-throughput 3' single-nucleus RNA sequencing approach that combines nanogrid technology, automated imaging, and cell selection to sequence up to ~1800 single nuclei in parallel. We compare the transcriptomes of 485 single nuclei to 424 single cells in a breast cancer cell line, which shows a high concordance (93.34%) in gene levels and abundance. We also analyze 416 nuclei from a frozen breast tumor sample and 380 nuclei from normal breast tissue. These data reveal heterogeneity in cancer cell phenotypes, including angiogenesis, proliferation, and stemness, and a minor subpopulation (19%) with many overexpressed cancer genes. Our studies demonstrate the utility of nanogrid single-nucleus RNA sequencing for studying the transcriptional programs of tumor nuclei in frozen archival tissue samples.Single cell RNA sequencing is a powerful tool for understanding cellular diversity but is limited by cost, throughput and sample preparation. Here the authors use nanogrid technology with integrated imaging to sequence thousands of cancer nuclei in parallel from fresh or frozen tissue.
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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.