2026-10-13 https://api.researchdata.se/oai-pmh

oai:researchdata.se:2025-306/1 2026-03-05 subject:ssif:30108 subject:ssif:30113 subject:ssif:30112 subject:ssif:301 subject:ssif:3 principal:slug:karolinska-institutet

info:eu-repo/semantics/other http://purl.org/dc/dcmitype/Dataset https://doi.org/10.48723/m1cg-v223 Data for: A Morphology-Based Machine Learning Model for Scoring Epithelial-Mesenchymal Plasticity using Organelle Dynamics Data för: A Morphology-Based Machine Learning Model for Scoring Epithelial-Mesenchymal Plasticity using Organelle Dynamics https://orcid.org/0000-0003-4576-9377 0009-0005-0481-8154 0000-0002-2082-271X Cell and Molecular Biology Cell- och molekylärbiologi Medical Bioinformatics and Systems Biology Medicinsk bioinformatik och systembiologi Basic Cancer Research Basal cancerforskning Project Description: This project is aimed at modelling dynamic organelle morphology changes in a cellular model of epithelial-mesenchymal transition (EMT). EMT is a developmental process, which is re-activated in cancer and promotes invasion, metastasis and resistance to various therapies. The repository contains raw microscopy images (.nd2 files) and numerical data outputs of all the experiments performed on a variety of cell lines (breast cancer, lung cancer). Cells were stained with the CellPainting kit. Experiments codes are listed below. Categories: Translational and applied bioinformatics; Cellular interactions (incl. adhesion, matrix, cell wall) Numerical Data Source_wet lab + database (782.78 KB) (1 excel file with numerical data source for MS experiments; 1 pdf file with WB uncropped membranes images) Numerical Source Data_all CP experiments (microscopy): (14.47 GB) - CP015/016/018: NMuMG training set (cellprofiler outputs) - CP017: NMuMG reversal experiment - CP019:NMuMG model validation - CP020: breast cancer cells - CP_INT_03_Normoxia: A549 Normoxia - CP_INT_03_Hypoxia: A549 Hypoxia Images (.ND2 files): - CP015_nd2 (37.24 GB): NMuMG training set.1 - CP016_nd2 (37.24 GB): NMuMG training set.2 - CP018_nd2 (37.24 GB): NMuMG training set.3 - CP017_nd2 (37.24 GB): NMuMG reversal experiment - CP019_nd2 (37.24 GB): NMuMG model validation - CP020_nd2 (37.24 GB): breast cancer cells - CP_INT_03_Normoxia_nd2 (18.62 GB): A549 Normoxia - CP_INT_03_Hypoxia_nd2 (18.62 GB): A549 Hypoxia Image files are in nd2 format, which is Nikon's proprietary format, but can be viewed with open source tools such as ImageJ. Project Description: This project is aimed at modelling dynamic organelle morphology changes in a cellular model of epithelial-mesenchymal transition (EMT). EMT is a developmental process, which is re-activated in cancer and promotes invasion, metastasis and resistance to various therapies. The repository contains raw microscopy images (.nd2 files) and numerical data outputs of all the experiments performed on a variety of cell lines (breast cancer, lung cancer). Cells were stained with the CellPainting kit. Experiments codes are listed below. Categories: Translational and applied bioinformatics; Cellular interactions (incl. adhesion, matrix, cell wall) Numerical Data Source_wet lab + database (782.78 KB) (1 excel file with numerical data source for MS experiments; 1 pdf file with WB uncropped membranes images) Numerical Source Data_all CP experiments (microscopy): (14.47 GB) - CP015/016/018: NMuMG training set (cellprofiler outputs) - CP017: NMuMG reversal experiment - CP019:NMuMG model validation - CP020: breast cancer cells - CP_INT_03_Normoxia: A549 Normoxia - CP_INT_03_Hypoxia: A549 Hypoxia Images (.ND2 files): - CP015_nd2 (37.24 GB): NMuMG training set.1 - CP016_nd2 (37.24 GB): NMuMG training set.2 - CP018_nd2 (37.24 GB): NMuMG training set.3 - CP017_nd2 (37.24 GB): NMuMG reversal experiment - CP019_nd2 (37.24 GB): NMuMG model validation - CP020_nd2 (37.24 GB): breast cancer cells - CP_INT_03_Normoxia_nd2 (18.62 GB): A549 Normoxia - CP_INT_03_Hypoxia_nd2 (18.62 GB): A549 Hypoxia Image files are in nd2 format, which is Nikon's proprietary format, but can be viewed with open source tools such as ImageJ. info:eu-repo/semantics/openAccess SE Karolinska Institutet Karolinska Institutet 2025-11-24T09:28:30.79836Z eng