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Gene expression signature in mouse thyroid tissue after (131)I and (211)At exposure
BACKGROUND: (131)I and (211)At are used in nuclear medicine and accumulate in the thyroid gland and may impact normal thyroid function. The aim of this study was to determine transcriptional profile variations, assess the impact on cellular activity, and identify genes with biomarker properties in t...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615992/ https://www.ncbi.nlm.nih.gov/pubmed/26492889 http://dx.doi.org/10.1186/s13550-015-0137-8 |
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author | Rudqvist, Nils Spetz, Johan Schüler, Emil Langen, Britta Parris, Toshima Z. Helou, Khalil Forssell-Aronsson, Eva |
author_facet | Rudqvist, Nils Spetz, Johan Schüler, Emil Langen, Britta Parris, Toshima Z. Helou, Khalil Forssell-Aronsson, Eva |
author_sort | Rudqvist, Nils |
collection | PubMed |
description | BACKGROUND: (131)I and (211)At are used in nuclear medicine and accumulate in the thyroid gland and may impact normal thyroid function. The aim of this study was to determine transcriptional profile variations, assess the impact on cellular activity, and identify genes with biomarker properties in thyroid tissue after (131)I and (211)At administration in mice. METHODS: To further investigate thyroid tissue transcriptional responses to (131)I and (211)At administration, we generated a new transcriptional dataset that includes re-evaluated raw intensity values from our previous (131)I and (211)At studies. Differential transcriptional profiles were identified by comparing treated and mock-treated samples using Nexus Expression 3.0 software. Further data analysis was performed using R/Bioconductor and IPA. RESULTS: A total of 1144 genes were regulated. Hierarchical clustering subdivided the groups into two clusters containing the lowest and highest absorbed dose levels, respectively, and revealed similar transcriptional regulation patterns for many kallikrein-related genes. Twenty-seven of the 1144 genes were recurrently regulated after (131)I and (211)At exposure and divided into six clusters. Several signalling pathways were affected, including calcium, integrin-linked kinase, and thyroid cancer signalling, and the peroxisomal proliferator-activated receptor network. CONCLUSIONS: Substantial changes in transcriptional regulation were shown in (131)I and (211)At-treated samples, and 27 genes were identified as potential biomarkers for (131)I and (211)At exposure. Clustering revealed distinct differences between transcriptional profiles of both similar and different exposures, demonstrating the necessity for better understanding of radiation-induced effects on cellular activity. Additionally, ionizing radiation-induced changes in kallikrein gene expression and identified canonical pathways should be further assessed. |
format | Online Article Text |
id | pubmed-4615992 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-46159922015-10-29 Gene expression signature in mouse thyroid tissue after (131)I and (211)At exposure Rudqvist, Nils Spetz, Johan Schüler, Emil Langen, Britta Parris, Toshima Z. Helou, Khalil Forssell-Aronsson, Eva EJNMMI Res Original Research BACKGROUND: (131)I and (211)At are used in nuclear medicine and accumulate in the thyroid gland and may impact normal thyroid function. The aim of this study was to determine transcriptional profile variations, assess the impact on cellular activity, and identify genes with biomarker properties in thyroid tissue after (131)I and (211)At administration in mice. METHODS: To further investigate thyroid tissue transcriptional responses to (131)I and (211)At administration, we generated a new transcriptional dataset that includes re-evaluated raw intensity values from our previous (131)I and (211)At studies. Differential transcriptional profiles were identified by comparing treated and mock-treated samples using Nexus Expression 3.0 software. Further data analysis was performed using R/Bioconductor and IPA. RESULTS: A total of 1144 genes were regulated. Hierarchical clustering subdivided the groups into two clusters containing the lowest and highest absorbed dose levels, respectively, and revealed similar transcriptional regulation patterns for many kallikrein-related genes. Twenty-seven of the 1144 genes were recurrently regulated after (131)I and (211)At exposure and divided into six clusters. Several signalling pathways were affected, including calcium, integrin-linked kinase, and thyroid cancer signalling, and the peroxisomal proliferator-activated receptor network. CONCLUSIONS: Substantial changes in transcriptional regulation were shown in (131)I and (211)At-treated samples, and 27 genes were identified as potential biomarkers for (131)I and (211)At exposure. Clustering revealed distinct differences between transcriptional profiles of both similar and different exposures, demonstrating the necessity for better understanding of radiation-induced effects on cellular activity. Additionally, ionizing radiation-induced changes in kallikrein gene expression and identified canonical pathways should be further assessed. Springer Berlin Heidelberg 2015-10-22 /pmc/articles/PMC4615992/ /pubmed/26492889 http://dx.doi.org/10.1186/s13550-015-0137-8 Text en © Rudqvist et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Research Rudqvist, Nils Spetz, Johan Schüler, Emil Langen, Britta Parris, Toshima Z. Helou, Khalil Forssell-Aronsson, Eva Gene expression signature in mouse thyroid tissue after (131)I and (211)At exposure |
title | Gene expression signature in mouse thyroid tissue after (131)I and (211)At exposure |
title_full | Gene expression signature in mouse thyroid tissue after (131)I and (211)At exposure |
title_fullStr | Gene expression signature in mouse thyroid tissue after (131)I and (211)At exposure |
title_full_unstemmed | Gene expression signature in mouse thyroid tissue after (131)I and (211)At exposure |
title_short | Gene expression signature in mouse thyroid tissue after (131)I and (211)At exposure |
title_sort | gene expression signature in mouse thyroid tissue after (131)i and (211)at exposure |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615992/ https://www.ncbi.nlm.nih.gov/pubmed/26492889 http://dx.doi.org/10.1186/s13550-015-0137-8 |
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