ArticleScientific reports2016
High-Throughput Single-Cell Derived Sphere Formation for Cancer Stem-Like Cell Identification and Analysis.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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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
37 citing papers in PubMed.
- High-throughput generation of patient-derived cancer stem cells for precision medicine using a microwell-chip platform.Nature cell biology · 2026Article
- Single-cell analysis of anchorage-independent growth ability in pancreatic ductal adenocarcinoma cell lines.BMC research notes · 2026Article
- High-Throughput Empirical and Virtual Screening To Discover Novel Inhibitors of Polyploid Giant Cancer Cells in Breast Cancer.Analytical chemistry · 2025Article
- Review
- Single-cell cloning and its approaches.Frontiers in cell and developmental biology · 2025Review
- High-Throughput Empirical and Virtual Screening to Discover Novel Inhibitors of Polyploid Giant Cancer Cells in Breast Cancer.bioRxiv : the preprint server for biology · 2024Article
- Deep learning unlocks label-free viability assessment of cancer spheroids in microfluidics.Lab on a chip · 2024Article
- Assessing the distribution of cancer stem cells in tumorspheres.Scientific reports · 2024Article
- Advances in Single-Cell Techniques for Linking Phenotypes to Genotypes.Cancer heterogeneity and plasticity · 2024Article
- Single-cell morphological and transcriptome analysis unveil inhibitors of polyploid giant breast cancer cells in vitro.Communications biology · 2023Article
- Microfluidics and Organoids, the Power Couple of Developmental Biology and Oncology Studies.International journal of molecular sciences · 2023Review
- Therapeutic implications of cancer stem cells in prostate cancer.Cancer biology & medicine · 2023Review
- Therapeutic Targeting of Cancer Stem Cells Prevents Resistance of Colorectal Cancer Cells to MEK Inhibition.ACS pharmacology & translational science · 2022Article
- Review
- Article
- 3D Cell Culture Models as Recapitulators of the Tumor Microenvironment for the Screening of Anti-Cancer Drugs.Cancers · 2021Review
- CARMA3 Promotes Colorectal Cancer Cell Motility and Cancer Stemness via YAP-Mediated NF-κB Activation.Cancers · 2021Article
- The IL-6R and Bmi-1 axis controls self-renewal and chemoresistance of head and neck cancer stem cells.Cell death & disease · 2021Article
- Understanding the influence of substrate when growing tumorspheres.BMC cancer · 2021Article
- EMP2 Is a Novel Regulator of Stemness in Breast Cancer Cells.Molecular cancer therapeutics · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Considerable evidence suggests that many malignancies are driven by a cellular compartment that displays stem cell properties. Cancer stem-like cells (CSCs) can be identified by expression of cell surface markers or enzymatic activity, but these methods are limited by phenotypic heterogeneity and plasticity of CSCs. An alternative phenotypic methodology based on in-vitro sphere formation has been developed, but it is typically labor-intensive and low-throughput. In this work, we present a 1,024-microchamber microfluidic platform for single-cell derived sphere formation. Utilizing a hydrodynamic capturing scheme, more than 70% of the microchambers capture only one cell, allowing for monitoring of sphere formation from heterogeneous cancer cell populations for identification of CSCs. Single-cell derived spheres can be retrieved and dissociated for single-cell analysis using a custom 96-gene panel to probe heterogeneity within the clonal CSC spheres. This microfluidic platform provides reliable and high-throughput sphere formation for CSC identification and downstream clonal analysis.
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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.