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        <r:String xml:lang="sv">Data för: A Morphology-Based Machine Learning Model for Scoring Epithelial-Mesenchymal Plasticity using Organelle Dynamics</r:String>
        <r:String xml:lang="en">Data for: A Morphology-Based Machine Learning Model for Scoring Epithelial-Mesenchymal Plasticity using Organelle Dynamics</r:String>
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          <r:String xml:lang="sv">Karolinska Institutet</r:String>
          <r:String xml:lang="en">Karolinska Institutet</r:String>
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      <r:Publisher>
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          <r:String xml:lang="sv">Karolinska Institutet</r:String>
          <r:String xml:lang="en">Karolinska Institutet</r:String>
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      <r:PublicationDate>
        <r:SimpleDate>2025-11-24</r:SimpleDate>
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        <r:IdentifierContent>10.48723/m1cg-v223</r:IdentifierContent>
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    <r:Abstract>
      <r:Content xml:lang="sv">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.</r:Content>
      <r:Content xml:lang="en">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.</r:Content>
    </r:Abstract>
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      <r:TopicalCoverage>
        <r:URN>urn:ddi:se.researchdata:2025-306.TopicalCoverage:2.0</r:URN>
        <r:Subject xml:lang="en" controlledVocabularyID="30108" controlledVocabularyName="Standard för svensk indelning av forskningsämnen 2025">Cell and Molecular Biology</r:Subject>
        <r:Subject xml:lang="sv" controlledVocabularyID="30108" controlledVocabularyName="Standard för svensk indelning av forskningsämnen 2025">Cell- och molekylärbiologi</r:Subject>
        <r:Subject xml:lang="en" controlledVocabularyID="30113" controlledVocabularyName="Standard för svensk indelning av forskningsämnen 2025">Medical Bioinformatics and Systems Biology</r:Subject>
        <r:Subject xml:lang="sv" controlledVocabularyID="30113" controlledVocabularyName="Standard för svensk indelning av forskningsämnen 2025">Medicinsk bioinformatik och systembiologi</r:Subject>
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        <r:Subject xml:lang="sv" controlledVocabularyID="30112" controlledVocabularyName="Standard för svensk indelning av forskningsämnen 2025">Basal cancerforskning</r:Subject>
        <r:Keyword xml:lang="en" controlledVocabularyID="D053140" controlledVocabularyName="MeSH">Organelle Shape</r:Keyword>
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        <r:Keyword xml:lang="sv" controlledVocabularyID="D058750" controlledVocabularyName="MeSH">Epitelial mesenkymövergång</r:Keyword>
        <r:Keyword xml:lang="en" controlledVocabularyID="D064726" controlledVocabularyName="MeSH">Triple Negative Breast Neoplasms</r:Keyword>
        <r:Keyword xml:lang="sv" controlledVocabularyID="D064726" controlledVocabularyName="MeSH">Trippelnegativa brösttumörer</r:Keyword>
        <r:Keyword xml:lang="en" controlledVocabularyID="D000066670" controlledVocabularyName="MeSH">Cell Plasticity</r:Keyword>
        <r:Keyword xml:lang="sv" controlledVocabularyID="D000066670" controlledVocabularyName="MeSH">Cellplasticitet</r:Keyword>
        <r:Keyword xml:lang="en" controlledVocabularyID="706970001" controlledVocabularyName="SNOMEDCT">Triple-negative breast cancer</r:Keyword>
        <r:Keyword xml:lang="sv" controlledVocabularyID="706970001" controlledVocabularyName="SNOMEDCT">trippelnegativ bröstcancer</r:Keyword>
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