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Meta-analysis of whole-genome gene expression datasets assessing the effects of IDH1 and IDH2 mutations in isogenic disease models
Mutations in isocitrate dehydrogenase 1 (IDH1) and IDH2 are oncogenic drivers to a variable extent in several tumors, including gliomas, acute myeloid leukemia (AML), cholangiocarcinoma, melanoma, and thyroid carcinoma. The pathobiological effects of these mutations vary considerably, impeding the i...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741954/ https://www.ncbi.nlm.nih.gov/pubmed/34997121 http://dx.doi.org/10.1038/s41598-021-04214-7 |
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author | Schulten, Hans-Juergen Al-Adwani, Fatima Saddeq, Haneen A. Bin Alkhatabi, Heba Alganmi, Nofe Karim, Sajjad Hussein, Deema Al-Ghamdi, Khalid B. Jamal, Awatif Al-Maghrabi, Jaudah Al-Qahtani, Mohammed H. |
author_facet | Schulten, Hans-Juergen Al-Adwani, Fatima Saddeq, Haneen A. Bin Alkhatabi, Heba Alganmi, Nofe Karim, Sajjad Hussein, Deema Al-Ghamdi, Khalid B. Jamal, Awatif Al-Maghrabi, Jaudah Al-Qahtani, Mohammed H. |
author_sort | Schulten, Hans-Juergen |
collection | PubMed |
description | Mutations in isocitrate dehydrogenase 1 (IDH1) and IDH2 are oncogenic drivers to a variable extent in several tumors, including gliomas, acute myeloid leukemia (AML), cholangiocarcinoma, melanoma, and thyroid carcinoma. The pathobiological effects of these mutations vary considerably, impeding the identification of common expression profiles. We performed an expression meta-analysis between IDH-mutant (IDH(mut)) and IDH-wild-type (IDH(wt)) conditions in six human and mouse isogenic disease models. The datasets included colon cancer cells, glioma cells, heart tissue, hepatoblasts, and neural stem cells. Among differentially expressed genes (DEGs), serine protease 23 (PRSS23) was upregulated in four datasets, i.e., in human colon carcinoma cells, mouse heart tissue, mouse neural stem cells, and human glioma cells. Carbonic anhydrase 2 (CA2) and prolyl 3-hydroxylase 2 (P3H2) were upregulated in three datasets, and SOX2 overlapping transcript (SOX2-OT) was downregulated in three datasets. The most significantly overrepresented protein class was termed intercellular signal molecules. An additional DEG set contained genes that were both up- and downregulated in different datasets and included oxidases and extracellular matrix structural proteins as the most significantly overrepresented protein classes. In conclusion, this meta-analysis provides a comprehensive overview of the expression effects of IDH mutations shared between different isogenic disease models. The generated dataset includes biomarkers, e.g., PRSS23 that may gain relevance for further research or clinical applications in IDH(mut) tumors. |
format | Online Article Text |
id | pubmed-8741954 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87419542022-01-10 Meta-analysis of whole-genome gene expression datasets assessing the effects of IDH1 and IDH2 mutations in isogenic disease models Schulten, Hans-Juergen Al-Adwani, Fatima Saddeq, Haneen A. Bin Alkhatabi, Heba Alganmi, Nofe Karim, Sajjad Hussein, Deema Al-Ghamdi, Khalid B. Jamal, Awatif Al-Maghrabi, Jaudah Al-Qahtani, Mohammed H. Sci Rep Article Mutations in isocitrate dehydrogenase 1 (IDH1) and IDH2 are oncogenic drivers to a variable extent in several tumors, including gliomas, acute myeloid leukemia (AML), cholangiocarcinoma, melanoma, and thyroid carcinoma. The pathobiological effects of these mutations vary considerably, impeding the identification of common expression profiles. We performed an expression meta-analysis between IDH-mutant (IDH(mut)) and IDH-wild-type (IDH(wt)) conditions in six human and mouse isogenic disease models. The datasets included colon cancer cells, glioma cells, heart tissue, hepatoblasts, and neural stem cells. Among differentially expressed genes (DEGs), serine protease 23 (PRSS23) was upregulated in four datasets, i.e., in human colon carcinoma cells, mouse heart tissue, mouse neural stem cells, and human glioma cells. Carbonic anhydrase 2 (CA2) and prolyl 3-hydroxylase 2 (P3H2) were upregulated in three datasets, and SOX2 overlapping transcript (SOX2-OT) was downregulated in three datasets. The most significantly overrepresented protein class was termed intercellular signal molecules. An additional DEG set contained genes that were both up- and downregulated in different datasets and included oxidases and extracellular matrix structural proteins as the most significantly overrepresented protein classes. In conclusion, this meta-analysis provides a comprehensive overview of the expression effects of IDH mutations shared between different isogenic disease models. The generated dataset includes biomarkers, e.g., PRSS23 that may gain relevance for further research or clinical applications in IDH(mut) tumors. Nature Publishing Group UK 2022-01-07 /pmc/articles/PMC8741954/ /pubmed/34997121 http://dx.doi.org/10.1038/s41598-021-04214-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Schulten, Hans-Juergen Al-Adwani, Fatima Saddeq, Haneen A. Bin Alkhatabi, Heba Alganmi, Nofe Karim, Sajjad Hussein, Deema Al-Ghamdi, Khalid B. Jamal, Awatif Al-Maghrabi, Jaudah Al-Qahtani, Mohammed H. Meta-analysis of whole-genome gene expression datasets assessing the effects of IDH1 and IDH2 mutations in isogenic disease models |
title | Meta-analysis of whole-genome gene expression datasets assessing the effects of IDH1 and IDH2 mutations in isogenic disease models |
title_full | Meta-analysis of whole-genome gene expression datasets assessing the effects of IDH1 and IDH2 mutations in isogenic disease models |
title_fullStr | Meta-analysis of whole-genome gene expression datasets assessing the effects of IDH1 and IDH2 mutations in isogenic disease models |
title_full_unstemmed | Meta-analysis of whole-genome gene expression datasets assessing the effects of IDH1 and IDH2 mutations in isogenic disease models |
title_short | Meta-analysis of whole-genome gene expression datasets assessing the effects of IDH1 and IDH2 mutations in isogenic disease models |
title_sort | meta-analysis of whole-genome gene expression datasets assessing the effects of idh1 and idh2 mutations in isogenic disease models |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741954/ https://www.ncbi.nlm.nih.gov/pubmed/34997121 http://dx.doi.org/10.1038/s41598-021-04214-7 |
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