ArticleIntegrative biology : quantitative biosciences from nano to macro2016
Morphological single cell profiling of the epithelial-mesenchymal transition.
Article in Integrative biology : quantitative biosciences from nano to macro, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 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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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
44 citing papers in PubMed, 95 citations in OpenAlex.
- Label-free all-electrical tracking of individual and collective cell migration on a megapixel CMOS capacitance sensor.Lab on a chip · 2026Article
- Cellular Morphometric Analysis (CellMorph)-a comprehensive imaging-based tool for quantifying cellular phenotype heterogeneity and dynamics across biological processes.The FEBS journal · 2026Article
- Label-Free All-Electrical Tracking of Individual and Collective Cell Migration on a Megapixel CMOS Capacitance Sensor.bioRxiv : the preprint server for biology · 2026Article
- Partial EMT Drives Persistent Collective Migration via Collision Guidance in Heterogeneous Populations.bioRxiv : the preprint server for biology · 2026Article
- Profiling extracellular matrix-driven heterogeneity of single cell migration and morphology.Scientific reports · 2026Article
- Integrated spatial morpho-transcriptomics predicts functional traits in pancreatic cancer.Science advances · 2025Article
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- EMT induction in normal breast epithelial cells by COX2-expressing fibroblasts.Cell communication and signaling : CCS · 2025Article
- Effect of Photobiomodulation on Proliferative Changes in the Retina: Evidence from an In Vitro Model of PVR.Advances in experimental medicine and biology · 2025Article
- Combination of MLo-1508 with sunitinib for the experimental treatment of papillary renal cell carcinoma.Frontiers in oncology · 2025Article
- Exploring the Role and Pathophysiological Significance of Aldehyde Dehydrogenase 1B1 (ALDH1B1) in Human Lung Adenocarcinoma.International journal of molecular sciences · 2024Article
- 3D Traction Force Microscopy in Biological Gels: From Single Cells to Multicellular Spheroids.Annual review of biomedical engineering · 2024Review
- Assessing the impact of extracellular matrix fiber orientation on breast cancer cellular metabolism.Cancer cell international · 2024Article
- Epithelial-Mesenchymal Transition: A Fundamental Cellular and Microenvironmental Process in Benign and Malignant Prostate Pathologies.Biomedicines · 2024Review
- Generative modeling of biological shapes and images using a probabilisticbioRxiv : the preprint server for biology · 2024Article
- Bridging the gap between collective motility and epithelial-mesenchymal transitions through the active finite voronoi model.Soft matter · 2023Article
- Deep learning of cell spatial organizations identifies clinically relevant insights in tissue images.Nature communications · 2023Article
- Metronomic and single high-dose paclitaxel treatments produce distinct heterogenous chemoresistant cancer cell populations.Scientific reports · 2023Article
- In Vitro Approaches to Determine the Potential Carcinogenic Risk of Environmental Pollutants.International journal of molecular sciences · 2023Review
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Single cells respond heterogeneously to biochemical treatments, which can complicate the analysis of in vitro and in vivo experiments. In particular, stressful perturbations may induce the epithelial-mesenchymal transition (EMT), a transformation through which compact, sensitive cells adopt an elongated, resistant phenotype. However, classical biochemical measurements based on population averages over large numbers cannot resolve single cell heterogeneity and plasticity. Here, we use high content imaging of single cell morphology to classify distinct phenotypic subpopulations after EMT. We first characterize a well-defined EMT induction through the master regulator Snail in mammary epithelial cells over 72 h. We find that EMT is associated with increased vimentin area as well as elongation of the nucleus and cytoplasm. These morphological features were integrated into a Gaussian mixture model that classified epithelial and mesenchymal phenotypes with >92% accuracy. We then applied this analysis to heterogeneous populations generated from less controlled EMT-inducing stimuli, including growth factors (TGF-β1), cell density, and chemotherapeutics (Taxol). Our quantitative, single cell approach has the potential to screen large heterogeneous cell populations for many types of phenotypic variability, and may thus provide a predictive assay for the preclinical assessment of targeted therapeutics.
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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.