An interactive mass spectrometry atlas of histone posttranslational modifications in T-cell acute leukemia
- Author
- Lien Provez, Bart Van Puyvelde (UGent) , Laura Corveleyn (UGent) , Nina Demeulemeester, Sigrid Verhelst (UGent) , Beatrice Lintermans, Simon Daled (UGent) , Juliette Roels (UGent) , Lieven Clement (UGent) , Lennart Martens (UGent) , Dieter Deforce (UGent) , Pieter Van Vlierberghe (UGent) and Maarten Dhaenens (UGent)
- Organization
- Project
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- Pharmacoepigenetics: towards personalized epidrug treatment
- Novel statistics tools for reliable proteome-wide quantification of post-translational modifications
- High throughput MS-based histone PTM screening: Filling a void in pharmacoepigenetics.
- Data Independent Acquisition Mass Spectrometry to Mine Human Stem Cell Histone Epigenetics
- ProteinContour: proteome-scale unraveling of the relation between post-translational modifications, biophysical properties, interactions and sub-cellular location of proteins.
- Proteomics-derived epitopes for dramatically improved anticancer and antibacterial vaccine development
- Abstract
- The holistic nature of omics studies makes them ideally suited to generate hypotheses on health and disease. Sequencing-based genomics and mass spectrometry (MS)-based proteomics are linked through epigenetic regulation mechanisms. However, epigenomics is currently mainly focused on DNA methylation status using sequencing technologies, while studying histone posttranslational modifications (hPTMs) using MS is lagging, partly because reuse of raw data is impractical. Yet, targeting hPTMs using epidrugs is an established promising research avenue in cancer treatment. Therefore, we here present the most comprehensive MS-based preprocessed hPTM atlas to date, including 21 T-cell acute lymphoblastic leukemia (T-ALL) cell lines. We present the data in an intuitive and browsable single licensed Progenesis QIP project and provide all essential quality metrics, allowing users to assess the quality of the data, edit individual peptides, try novel annotation algorithms and export both peptide and protein data for downstream analyses, exemplified by the PeptidoformViz tool. This data resource sets the stage for generalizing MS-based histone analysis and provides the first reusable histone dataset for epidrug development.
- Keywords
- EZH2
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01GJYQT88VYKVFVPNX5AJEJ6AP
- MLA
- Provez, Lien, et al. “An Interactive Mass Spectrometry Atlas of Histone Posttranslational Modifications in T-Cell Acute Leukemia.” SCIENTIFIC DATA, vol. 9, no. 1, Nature Portfolio, 2022, doi:10.1038/s41597-022-01736-1.
- APA
- Provez, L., Van Puyvelde, B., Corveleyn, L., Demeulemeester, N., Verhelst, S., Lintermans, B., … Dhaenens, M. (2022). An interactive mass spectrometry atlas of histone posttranslational modifications in T-cell acute leukemia. SCIENTIFIC DATA, 9(1). https://doi.org/10.1038/s41597-022-01736-1
- Chicago author-date
- Provez, Lien, Bart Van Puyvelde, Laura Corveleyn, Nina Demeulemeester, Sigrid Verhelst, Beatrice Lintermans, Simon Daled, et al. 2022. “An Interactive Mass Spectrometry Atlas of Histone Posttranslational Modifications in T-Cell Acute Leukemia.” SCIENTIFIC DATA 9 (1). https://doi.org/10.1038/s41597-022-01736-1.
- Chicago author-date (all authors)
- Provez, Lien, Bart Van Puyvelde, Laura Corveleyn, Nina Demeulemeester, Sigrid Verhelst, Beatrice Lintermans, Simon Daled, Juliette Roels, Lieven Clement, Lennart Martens, Dieter Deforce, Pieter Van Vlierberghe, and Maarten Dhaenens. 2022. “An Interactive Mass Spectrometry Atlas of Histone Posttranslational Modifications in T-Cell Acute Leukemia.” SCIENTIFIC DATA 9 (1). doi:10.1038/s41597-022-01736-1.
- Vancouver
- 1.Provez L, Van Puyvelde B, Corveleyn L, Demeulemeester N, Verhelst S, Lintermans B, et al. An interactive mass spectrometry atlas of histone posttranslational modifications in T-cell acute leukemia. SCIENTIFIC DATA. 2022;9(1).
- IEEE
- [1]L. Provez et al., “An interactive mass spectrometry atlas of histone posttranslational modifications in T-cell acute leukemia,” SCIENTIFIC DATA, vol. 9, no. 1, 2022.
@article{01GJYQT88VYKVFVPNX5AJEJ6AP,
abstract = {{The holistic nature of omics studies makes them ideally suited to generate hypotheses on health and disease. Sequencing-based genomics and mass spectrometry (MS)-based proteomics are linked through epigenetic regulation mechanisms. However, epigenomics is currently mainly focused on DNA methylation status using sequencing technologies, while studying histone posttranslational modifications (hPTMs) using MS is lagging, partly because reuse of raw data is impractical. Yet, targeting hPTMs using epidrugs is an established promising research avenue in cancer treatment. Therefore, we here present the most comprehensive MS-based preprocessed hPTM atlas to date, including 21 T-cell acute lymphoblastic leukemia (T-ALL) cell lines. We present the data in an intuitive and browsable single licensed Progenesis QIP project and provide all essential quality metrics, allowing users to assess the quality of the data, edit individual peptides, try novel annotation algorithms and export both peptide and protein data for downstream analyses, exemplified by the PeptidoformViz tool. This data resource sets the stage for generalizing MS-based histone analysis and provides the first reusable histone dataset for epidrug development.}},
articleno = {{626}},
author = {{Provez, Lien and Van Puyvelde, Bart and Corveleyn, Laura and Demeulemeester, Nina and Verhelst, Sigrid and Lintermans, Beatrice and Daled, Simon and Roels, Juliette and Clement, Lieven and Martens, Lennart and Deforce, Dieter and Van Vlierberghe, Pieter and Dhaenens, Maarten}},
issn = {{2052-4463}},
journal = {{SCIENTIFIC DATA}},
keywords = {{EZH2}},
language = {{eng}},
number = {{1}},
pages = {{15}},
publisher = {{Nature Portfolio}},
title = {{An interactive mass spectrometry atlas of histone posttranslational modifications in T-cell acute leukemia}},
url = {{http://doi.org/10.1038/s41597-022-01736-1}},
volume = {{9}},
year = {{2022}},
}
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