ArticleScientific reports2021
Single cell imaging-based chromatin biomarkers for tumor progression.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 19 citations in OpenAlex.
- Image-based epigenetic profiling with deep learning and high-speed super-resolution microscopy.Epigenetics & chromatin · 2026Article
- Identifying regulators of aged fibroblast activation in 3D tissue models.Scientific reports · 2025Article
- Deep learning in chromatin organization: from super-resolution microscopy to clinical applications.Cellular and molecular life sciences : CMLS · 2025Review
- Image2Reg: Linking chromatin images to gene regulation using genetic and chemical perturbation screens.Cell systems · 2025Article
- Compressive Forces Induce Epigenetic Activation of Aged Human Dermal Fibroblasts Through ERK Signaling Pathway.Aging cell · 2025Article
- Regulation of p65 nuclear localization and chromatin states by compressive force.Molecular biology of the cell · 2025Article
- Multiscale chromatin dynamics and high entropy in plant iPSC ancestors.Journal of cell science · 2024Article
- Unsupervised representation learning of chromatin images identifies changes in cell state and tissue organization in DCIS.Nature communications · 2024Article
- Microscopy methods to visualize nuclear organization in biomechanical studies.Current opinion in biomedical engineering · 2024Article
- Implanting mechanically reprogrammed fibroblasts for aged tissue regeneration and wound healing.Aging cell · 2024Article
- Imaging and AI based chromatin biomarkers for diagnosis and therapy evaluation from liquid biopsies.NPJ precision oncology · 2023Article
- Detecting radio- and chemoresistant cells in 3D cancer co-cultures using chromatin biomarkers.Scientific reports · 2023Article
- Review
- New Frontiers in Colorectal Cancer Treatment Combining Nanotechnology with Photo- and Radiotherapy.Cancers · 2023Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tumour progression within the tissue microenvironment is accompanied by complex biomechanical alterations of the extracellular environment. While histopathology images provide robust biochemical markers for tumor progression in clinical settings, a quantitative single cell score using nuclear morphology and chromatin organization integrated with the long range mechanical coupling within the tumor microenvironment is missing. We propose that the spatial chromatin organization in individual nuclei characterises the cell state and their alterations during tumor progression. In this paper, we first built an image analysis pipeline and implemented it to classify nuclei from patient derived breast tissue biopsies of various cancer stages based on their nuclear and chromatin features. Replacing H&E with DNA binding dyes such as Hoescht stained tissue biopsies, we improved the classification accuracy. Using the nuclear morphology and chromatin organization features, we constructed a pseudo-time model to identify the chromatin state changes that occur during tumour progression. This enabled us to build a single-cell mechano-genomic score that characterises the cell state during tumor progression from a normal to a metastatic state. To gain further insights into the alterations in the local tissue microenvironments, we also used the nuclear orientations to identify spatial neighbourhoods that have been posited to drive tumor progression. Collectively, we demonstrate that image-based single cell chromatin and nuclear features are important single cell biomarkers for phenotypic mapping of tumor progression.
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