Results from the grant "Adoptive nanotherapy against ATF4 in triple negative breast cancer patients-derived models"

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Main Authors: Sergio Granados-Principal, Cara, Francisca, Calahorra, Jesús, Blaya-Cánovas, Jose L., López-Tejada, Araceli, González González, Adrián, GRIÑAN, CARMEN
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Published: Zenodo 2025
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author Sergio Granados-Principal
Cara, Francisca
Calahorra, Jesús
Blaya-Cánovas, Jose L.
López-Tejada, Araceli
González González, Adrián
GRIÑAN, CARMEN
author_facet Sergio Granados-Principal
Cara, Francisca
Calahorra, Jesús
Blaya-Cánovas, Jose L.
López-Tejada, Araceli
González González, Adrián
GRIÑAN, CARMEN
contents <p>This dataset gathers the results from the grant PI19/01533 funded by Instituto de Salud Carlos III (Spain).</p> <p>The dataset includes the following files:</p> <ul> <li><strong>RNAseq_BT549_MDA231_HT_BLP_Calahorra et al 2024.xlsx: </strong>RNA sequencing dataset from BT549 and MDA-MB-231 cell lines treated with vehicle, hydroxytyrosol (HT), beta lapachone (BLP) or their combination. Upregulated or downregulated gene expression with a fold change of 0.5. The results of this dataset are published in Calahorra et al 2024 (<a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.biopha.2024.116439" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.biopha.2024.116439</a>).</li> <li><strong>RNAseq_siRNA-NDRG1_vs_siRNA-Scrambled_+-TGFB1_Lopez-Tejada et al 2025.xls: </strong>it contains RNA seq expression data of MDA-MB-231 breast cancer cells treated with siRNA against NDRG1 (siNDRG1) or siRNA control (scrambled or SCR), with or without stimulation with TGFbeta1. This data belongs to the publication Lopez-Tejada et al 2025 (DOI: <a href="https://doi.org/10.7150/ijbs.112645" target="_blank" rel="noopener">10.7150/ijbs.112645</a>).</li> <li><strong>Clue_Compounds_FoldChange1.6_Lopez-Tejada et al 2025.xlsx:</strong> it contains the connectivity score data (compounds) from the repositioning study made with Clue from the RNAseq dataset (<strong>RNAseq_siRNA-NDRG1_vs_siRNA-Scrambled_+-TGFB1_Lopez-Tejada et al 2025.xls</strong>) upon treatment with TGFbeta1, publised in Lopez-Tejada et al 2025 (DOI: <a href="https://doi.org/10.7150/ijbs.112645" target="_blank" rel="noopener">10.7150/ijbs.112645</a>).</li> <li><strong>Clue_Perturbational class_FoldChange1.6_Lopez-Tejada et al 2025.xlsx:</strong> it contains the connectivity score data (perturbational class) from the repositioning study made with Clue from the RNAseq dataset (<strong>RNAseq dataset_siRNA-NDRG1_vs_siRNA-Scrambled_with without TGFB1.xls</strong>) upon treatment with TGFbeta1, publised in Lopez-Tejada et al 2025 (DOI: <a href="https://doi.org/10.7150/ijbs.112645" target="_blank" rel="noopener">10.7150/ijbs.112645</a>).</li> <li><strong>Experimental Data_Blaya-Canovas et al 2024.xlsx: </strong>this file contains all raw data of the experiments published in Blaya-Canovas et al., 2024 (<a href="https://doi.org/10.1186/s12943-024-01997-x">https://doi.org/10.1186/s12943-024-01997-x</a>). This spreadsheet is organized according to each experiment shown in the paper.</li> <li><strong>Experimental Data_Calahorra et al 2024.xlsx:</strong> this file contains all raw data of the experiments published in Calahorra et al., 2024 (<a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.biopha.2024.116439" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.biopha.2024.116439</a>). This spreadsheet is organized according to the figures of the paper, being each figure a sheet that includes all the experiments made.</li> <li><strong>Experimental Data_Lopez-Tejada et al 2023.xlsx:</strong> this file contains all raw data of the experiments published in Lopez-Tejada et al., 2023 (DOI: <a href="https://doi.org/10.7150/ijbs.78738" target="_blank" rel="noopener">10.7150/ijbs.78738</a>). This spreadsheet is organized according to each experiment shown in the paper.</li> <li><strong>Experimental Data_Lopez-Tejada et al 2025.xlsx:</strong> raw data from the publication Lopez-Tejada et al 2025 (DOI: <a href="https://doi.org/10.7150/ijbs.112645" target="_blank" rel="noopener">10.7150/ijbs.112645</a>). This spreadsheet is organized according to the figures of the paper, being each figure a sheet that includes the experiments made.</li> </ul> <p>All results were processed using GraphPad Prism 9. Data processing: outliers were excluded from the statistical analysis. </p>
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publisher Zenodo
record_format zenodo
spellingShingle Results from the grant "Adoptive nanotherapy against ATF4 in triple negative breast cancer patients-derived models"
Sergio Granados-Principal
Cara, Francisca
Calahorra, Jesús
Blaya-Cánovas, Jose L.
López-Tejada, Araceli
González González, Adrián
GRIÑAN, CARMEN
<p>This dataset gathers the results from the grant PI19/01533 funded by Instituto de Salud Carlos III (Spain).</p> <p>The dataset includes the following files:</p> <ul> <li><strong>RNAseq_BT549_MDA231_HT_BLP_Calahorra et al 2024.xlsx: </strong>RNA sequencing dataset from BT549 and MDA-MB-231 cell lines treated with vehicle, hydroxytyrosol (HT), beta lapachone (BLP) or their combination. Upregulated or downregulated gene expression with a fold change of 0.5. The results of this dataset are published in Calahorra et al 2024 (<a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.biopha.2024.116439" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.biopha.2024.116439</a>).</li> <li><strong>RNAseq_siRNA-NDRG1_vs_siRNA-Scrambled_+-TGFB1_Lopez-Tejada et al 2025.xls: </strong>it contains RNA seq expression data of MDA-MB-231 breast cancer cells treated with siRNA against NDRG1 (siNDRG1) or siRNA control (scrambled or SCR), with or without stimulation with TGFbeta1. This data belongs to the publication Lopez-Tejada et al 2025 (DOI: <a href="https://doi.org/10.7150/ijbs.112645" target="_blank" rel="noopener">10.7150/ijbs.112645</a>).</li> <li><strong>Clue_Compounds_FoldChange1.6_Lopez-Tejada et al 2025.xlsx:</strong> it contains the connectivity score data (compounds) from the repositioning study made with Clue from the RNAseq dataset (<strong>RNAseq_siRNA-NDRG1_vs_siRNA-Scrambled_+-TGFB1_Lopez-Tejada et al 2025.xls</strong>) upon treatment with TGFbeta1, publised in Lopez-Tejada et al 2025 (DOI: <a href="https://doi.org/10.7150/ijbs.112645" target="_blank" rel="noopener">10.7150/ijbs.112645</a>).</li> <li><strong>Clue_Perturbational class_FoldChange1.6_Lopez-Tejada et al 2025.xlsx:</strong> it contains the connectivity score data (perturbational class) from the repositioning study made with Clue from the RNAseq dataset (<strong>RNAseq dataset_siRNA-NDRG1_vs_siRNA-Scrambled_with without TGFB1.xls</strong>) upon treatment with TGFbeta1, publised in Lopez-Tejada et al 2025 (DOI: <a href="https://doi.org/10.7150/ijbs.112645" target="_blank" rel="noopener">10.7150/ijbs.112645</a>).</li> <li><strong>Experimental Data_Blaya-Canovas et al 2024.xlsx: </strong>this file contains all raw data of the experiments published in Blaya-Canovas et al., 2024 (<a href="https://doi.org/10.1186/s12943-024-01997-x">https://doi.org/10.1186/s12943-024-01997-x</a>). This spreadsheet is organized according to each experiment shown in the paper.</li> <li><strong>Experimental Data_Calahorra et al 2024.xlsx:</strong> this file contains all raw data of the experiments published in Calahorra et al., 2024 (<a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.biopha.2024.116439" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.biopha.2024.116439</a>). This spreadsheet is organized according to the figures of the paper, being each figure a sheet that includes all the experiments made.</li> <li><strong>Experimental Data_Lopez-Tejada et al 2023.xlsx:</strong> this file contains all raw data of the experiments published in Lopez-Tejada et al., 2023 (DOI: <a href="https://doi.org/10.7150/ijbs.78738" target="_blank" rel="noopener">10.7150/ijbs.78738</a>). This spreadsheet is organized according to each experiment shown in the paper.</li> <li><strong>Experimental Data_Lopez-Tejada et al 2025.xlsx:</strong> raw data from the publication Lopez-Tejada et al 2025 (DOI: <a href="https://doi.org/10.7150/ijbs.112645" target="_blank" rel="noopener">10.7150/ijbs.112645</a>). This spreadsheet is organized according to the figures of the paper, being each figure a sheet that includes the experiments made.</li> </ul> <p>All results were processed using GraphPad Prism 9. Data processing: outliers were excluded from the statistical analysis. </p>
title Results from the grant "Adoptive nanotherapy against ATF4 in triple negative breast cancer patients-derived models"
url https://doi.org/10.5281/zenodo.17607964