Assessing the distribution of cancer stem cells in tumorspheres
Copyright policy )Assessing the distribution of cancer stem cells in tumorspheres
AbstractCancer Stem Cells presumably drive tumor growth and resistance to conventional cancer treatments. From a previous computational model, we inferred that these cells are not uniformly distributed in the bulk of a tumorsphere. To confirm this result, we cultivated tumorspheres enriched in stem cells, and performed immunofluorescent detection of the stemness marker SOX2 using confocal microscopy. In this article, we present an image processing method that reconstructs the amount and location of the Cancer Stem Cells in the spheroids. Its advantage is the use of a statistical criterion to classify the cells in Stem and Differentiated, instead of setting an arbitrary threshold. Moreover, the analysis of the experimental images presented in this work agrees with the results from our computational models, thus enforcing the notion that the distribution of Cancer Stem Cells in a tumorsphere is non-homogeneous. Additionally, the method presented here provides a useful tool for analyzing any image in which different kinds of cells are stained with different markers.
- National University of Córdoba Argentina
- National Scientific and Technical Research Council Argentina
- Universidad Nacional de Córdoba (UNC) Argentina
- Experimental Medicine and Biology Institute Argentina
Advanced Techniques in Bioimage Analysis and Microscopy, IMAGE PROCESSING, Cell Plasticity, SOX2, Cancer cell, Quantitative Biology - Quantitative Methods, Gene, Computational biology, Engineering, Cellular Imaging, CANCER STEM CELLS, https://purl.org/becyt/ford/1.6, Cancer Stem Cells, Image Processing, Computer-Assisted, Pathology, Homogeneous, Internal medicine, Cancer, TUMORSPHERES, Microscopy, Confocal, Stem cell, 3D Bioprinting Technology, Cancer stem cells, Physics, Q, R, Life Sciences, Oncology, Confocal, Tumorsphere assay, Physical Sciences, Neoplastic Stem Cells, Medicine, Thermodynamics, Cell biology, Science, Biophysics, Biomedical Engineering, Stem Cell Niches, Cancer research, FOS: Medical engineering, Mathematical analysis, Article, Spheroids, Cellular, Cell Line, Tumor, Biochemistry, Genetics and Molecular Biology, Health Sciences, FOS: Mathematics, Genetics, Humans, https://purl.org/becyt/ford/1, Biology, Distribution (mathematics), SOXB1 Transcription Factors, Cancer stem cell, Optics, Computer science, Confocal microscopy, Cancer Stem Cells and Tumor Metastasis, FOS: Biological sciences, Imaging processing, Transcription factor, Mathematics, Tumorigenic Cells
Advanced Techniques in Bioimage Analysis and Microscopy, IMAGE PROCESSING, Cell Plasticity, SOX2, Cancer cell, Quantitative Biology - Quantitative Methods, Gene, Computational biology, Engineering, Cellular Imaging, CANCER STEM CELLS, https://purl.org/becyt/ford/1.6, Cancer Stem Cells, Image Processing, Computer-Assisted, Pathology, Homogeneous, Internal medicine, Cancer, TUMORSPHERES, Microscopy, Confocal, Stem cell, 3D Bioprinting Technology, Cancer stem cells, Physics, Q, R, Life Sciences, Oncology, Confocal, Tumorsphere assay, Physical Sciences, Neoplastic Stem Cells, Medicine, Thermodynamics, Cell biology, Science, Biophysics, Biomedical Engineering, Stem Cell Niches, Cancer research, FOS: Medical engineering, Mathematical analysis, Article, Spheroids, Cellular, Cell Line, Tumor, Biochemistry, Genetics and Molecular Biology, Health Sciences, FOS: Mathematics, Genetics, Humans, https://purl.org/becyt/ford/1, Biology, Distribution (mathematics), SOXB1 Transcription Factors, Cancer stem cell, Optics, Computer science, Confocal microscopy, Cancer Stem Cells and Tumor Metastasis, FOS: Biological sciences, Imaging processing, Transcription factor, Mathematics, Tumorigenic Cells
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