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MODL-07. DNA methylation-based biobank of murine models for pediatric tumors
Recent advances in molecular profiling methods led to the identification of multiple new molecularly defined tumor types and subtypes, distinguished by distinct molecular markers and characteristic DNA methylation signatures. While the analysis of human methylome using microarrays has become an affo...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164985/ http://dx.doi.org/10.1093/neuonc/noac079.630 |
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author | Zheng, Tuyu Sill, Martin Imle, Roland Shiraishi, Ryo Wang, Wanchen Morcavallo, Alaide Chesler, Louis Kawauchi, Daisuke Ayrault, Olivier Pavlo, Lutsik Pfister, Stefan M Kutscher, Lena M Banito, Ana Jones, David W Pajtler, Kristian W Zuckermann, Marc |
author_facet | Zheng, Tuyu Sill, Martin Imle, Roland Shiraishi, Ryo Wang, Wanchen Morcavallo, Alaide Chesler, Louis Kawauchi, Daisuke Ayrault, Olivier Pavlo, Lutsik Pfister, Stefan M Kutscher, Lena M Banito, Ana Jones, David W Pajtler, Kristian W Zuckermann, Marc |
author_sort | Zheng, Tuyu |
collection | PubMed |
description | Recent advances in molecular profiling methods led to the identification of multiple new molecularly defined tumor types and subtypes, distinguished by distinct molecular markers and characteristic DNA methylation signatures. While the analysis of human methylome using microarrays has become an affordable and a routine in many labs, this technology until recently was not available for murine samples. In the past years, we have successfully generated a variety of mouse models for childhood tumors (e.g brain tumors and sarcomas) using different techniques, most of which faithfully reflect the human tumor counterparts at the histological level. With the recently released Infinium Mouse Methylation BeadChip, we now set out to use our models to generate the first DNA methylation database for murine pediatric tumors. We profiled more than 70 mouse models of pediatric tumors including gliomas, medulloblastomas, ependymomas and sarcomas, as well as 40 normal brain and muscle control tissues. We are currently performing a cross-species comparative analysis of established mouse models and the human counterparts. This will assess, how faithfully each models reflect the human situation and examine the effects of multiple passages of allografting. We will also analyze purified immune cell populations and use the derived methylation signatures to assess the model-specific immune microenvironment. Furthermore, we will investigate the methylomes of multiple putative cells-of-origin, which is hardly possible in the human context due to the lack of purified material. We will correlate these to murine tumor samples and thereby provide novel insights into tumor origins. In summary, our study will generate a validated biobank of murine models for pediatric cancers and provide a valuable resource for future developmental studies and preclinical trials. |
format | Online Article Text |
id | pubmed-9164985 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-91649852022-06-05 MODL-07. DNA methylation-based biobank of murine models for pediatric tumors Zheng, Tuyu Sill, Martin Imle, Roland Shiraishi, Ryo Wang, Wanchen Morcavallo, Alaide Chesler, Louis Kawauchi, Daisuke Ayrault, Olivier Pavlo, Lutsik Pfister, Stefan M Kutscher, Lena M Banito, Ana Jones, David W Pajtler, Kristian W Zuckermann, Marc Neuro Oncol Preclinical Models/Experimental Therapy/Drug Discovery Recent advances in molecular profiling methods led to the identification of multiple new molecularly defined tumor types and subtypes, distinguished by distinct molecular markers and characteristic DNA methylation signatures. While the analysis of human methylome using microarrays has become an affordable and a routine in many labs, this technology until recently was not available for murine samples. In the past years, we have successfully generated a variety of mouse models for childhood tumors (e.g brain tumors and sarcomas) using different techniques, most of which faithfully reflect the human tumor counterparts at the histological level. With the recently released Infinium Mouse Methylation BeadChip, we now set out to use our models to generate the first DNA methylation database for murine pediatric tumors. We profiled more than 70 mouse models of pediatric tumors including gliomas, medulloblastomas, ependymomas and sarcomas, as well as 40 normal brain and muscle control tissues. We are currently performing a cross-species comparative analysis of established mouse models and the human counterparts. This will assess, how faithfully each models reflect the human situation and examine the effects of multiple passages of allografting. We will also analyze purified immune cell populations and use the derived methylation signatures to assess the model-specific immune microenvironment. Furthermore, we will investigate the methylomes of multiple putative cells-of-origin, which is hardly possible in the human context due to the lack of purified material. We will correlate these to murine tumor samples and thereby provide novel insights into tumor origins. In summary, our study will generate a validated biobank of murine models for pediatric cancers and provide a valuable resource for future developmental studies and preclinical trials. Oxford University Press 2022-06-03 /pmc/articles/PMC9164985/ http://dx.doi.org/10.1093/neuonc/noac079.630 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Preclinical Models/Experimental Therapy/Drug Discovery Zheng, Tuyu Sill, Martin Imle, Roland Shiraishi, Ryo Wang, Wanchen Morcavallo, Alaide Chesler, Louis Kawauchi, Daisuke Ayrault, Olivier Pavlo, Lutsik Pfister, Stefan M Kutscher, Lena M Banito, Ana Jones, David W Pajtler, Kristian W Zuckermann, Marc MODL-07. DNA methylation-based biobank of murine models for pediatric tumors |
title | MODL-07. DNA methylation-based biobank of murine models for pediatric tumors |
title_full | MODL-07. DNA methylation-based biobank of murine models for pediatric tumors |
title_fullStr | MODL-07. DNA methylation-based biobank of murine models for pediatric tumors |
title_full_unstemmed | MODL-07. DNA methylation-based biobank of murine models for pediatric tumors |
title_short | MODL-07. DNA methylation-based biobank of murine models for pediatric tumors |
title_sort | modl-07. dna methylation-based biobank of murine models for pediatric tumors |
topic | Preclinical Models/Experimental Therapy/Drug Discovery |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164985/ http://dx.doi.org/10.1093/neuonc/noac079.630 |
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