Toward biomarker-guided radiotherapy: Multi-omics analysis links ATM status to radioresistance in lung adenocarcinoma
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| Natura: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866901471468978176 |
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| author | Riedl, Anna Luisa Bohnenberger, Hanibal |
| author_facet | Riedl, Anna Luisa Bohnenberger, Hanibal |
| contents | <p>This Zenodo record contains processed functional assay data and analysis outputs underlying the study <em>“Toward biomarker-guided radiotherapy: Multi-omics analysis links ATM status to radioresistance in lung adenocarcinoma”</em> (Riedl et al., 2025).</p> <p>The dataset includes quantitative results from clonogenic survival assays (CFA), MTS viability assays, and xCELLigence real-time impedance measurements conducted in ATM-proficient and ATM-deficient lung adenocarcinoma (LUAD) cell lines exposed to irradiation and/or the ATM inhibitor AZD1390.</p> <p>Each data package includes raw and processed tables, plots, and corresponding metadata describing experimental conditions and replicates. All analyses were performed using R, with full code available via GitHub at<a href="https://github.com/annaluisariedl-91/Riedl_2025_LUAD_ATM_Radiation"> https://github.com/annaluisariedl-91/Riedl_2025_LUAD_ATM_Radiation</a>.</p> <p>The accompanying transcriptome (RNA-seq) and proteome datasets are deposited separately in public repositories:</p> <ul> <li> <p><strong>Transcriptome data (RNA-seq):</strong> Biostudies, accession <span><a href="https://www.ebi.ac.uk/biostudies/arrayexpress/studies/E-MTAB-16218"><span>https://www.ebi.ac.uk/biostudies/arrayexpress/studies/E-MTAB-16218</span></a></span></p> </li> <li> <p><strong>Proteome data (LC–MS/MS):</strong> PRIDE, accession <strong><span>PXD071187</span></strong></p> </li> </ul> <p>Together, these datasets provide an integrative multi-omics resource for studying the impact of ATM status on radiation response and DNA damage signaling in LUAD cell lines.</p> <p><strong>Keywords:</strong> LUAD, ATM, radiation, AZD1390, clonogenic assay, MTS, xCELLigence, RNA-seq, proteomics, multi-omics</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17414211 |
| institution | Zenodo |
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| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Toward biomarker-guided radiotherapy: Multi-omics analysis links ATM status to radioresistance in lung adenocarcinoma Riedl, Anna Luisa Bohnenberger, Hanibal Lung cancer AZD1390 ATM clonogenic assays MTS xCelligence RNA-Seq Proteomics multi-omics <p>This Zenodo record contains processed functional assay data and analysis outputs underlying the study <em>“Toward biomarker-guided radiotherapy: Multi-omics analysis links ATM status to radioresistance in lung adenocarcinoma”</em> (Riedl et al., 2025).</p> <p>The dataset includes quantitative results from clonogenic survival assays (CFA), MTS viability assays, and xCELLigence real-time impedance measurements conducted in ATM-proficient and ATM-deficient lung adenocarcinoma (LUAD) cell lines exposed to irradiation and/or the ATM inhibitor AZD1390.</p> <p>Each data package includes raw and processed tables, plots, and corresponding metadata describing experimental conditions and replicates. All analyses were performed using R, with full code available via GitHub at<a href="https://github.com/annaluisariedl-91/Riedl_2025_LUAD_ATM_Radiation"> https://github.com/annaluisariedl-91/Riedl_2025_LUAD_ATM_Radiation</a>.</p> <p>The accompanying transcriptome (RNA-seq) and proteome datasets are deposited separately in public repositories:</p> <ul> <li> <p><strong>Transcriptome data (RNA-seq):</strong> Biostudies, accession <span><a href="https://www.ebi.ac.uk/biostudies/arrayexpress/studies/E-MTAB-16218"><span>https://www.ebi.ac.uk/biostudies/arrayexpress/studies/E-MTAB-16218</span></a></span></p> </li> <li> <p><strong>Proteome data (LC–MS/MS):</strong> PRIDE, accession <strong><span>PXD071187</span></strong></p> </li> </ul> <p>Together, these datasets provide an integrative multi-omics resource for studying the impact of ATM status on radiation response and DNA damage signaling in LUAD cell lines.</p> <p><strong>Keywords:</strong> LUAD, ATM, radiation, AZD1390, clonogenic assay, MTS, xCELLigence, RNA-seq, proteomics, multi-omics</p> |
| title | Toward biomarker-guided radiotherapy: Multi-omics analysis links ATM status to radioresistance in lung adenocarcinoma |
| topic | Lung cancer AZD1390 ATM clonogenic assays MTS xCelligence RNA-Seq Proteomics multi-omics |
| url | https://doi.org/10.5281/zenodo.17414211 |