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The human miRNA repertoire of different blood compounds

BACKGROUND: MiRNAs from body fluids gain more and more attraction as biomarker candidates. Besides serum, patterns from whole blood are increasingly considered as markers for human pathologies. Usually, the contribution of different cell types to the respective signature remains however unknown. In...

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Autores principales: Leidinger, Petra, Backes, Christina, Meder, Benjamin, Meese, Eckart, Keller, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4076980/
https://www.ncbi.nlm.nih.gov/pubmed/24928098
http://dx.doi.org/10.1186/1471-2164-15-474
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author Leidinger, Petra
Backes, Christina
Meder, Benjamin
Meese, Eckart
Keller, Andreas
author_facet Leidinger, Petra
Backes, Christina
Meder, Benjamin
Meese, Eckart
Keller, Andreas
author_sort Leidinger, Petra
collection PubMed
description BACKGROUND: MiRNAs from body fluids gain more and more attraction as biomarker candidates. Besides serum, patterns from whole blood are increasingly considered as markers for human pathologies. Usually, the contribution of different cell types to the respective signature remains however unknown. In this study we provide insights into the human miRNome of different compounds of the blood including CD3, CD14, CD15, CD19, CD56 positive cells as well as exosomes. METHODS: We measured the miRNA repertoire for each cell type and whole blood for two individuals at three time points over the course of one year in order to provide evidence that the cell type miRNomes can be reproducibly detected. RESULTS: For measurements repeated after 24 hours we found on average correlation of 0.97, even after one year profiles still correlated with 0.96, demonstrating the enormous stability of the cell type specific miRNomes. Highest correlation was found for CD15 positive cells, exceeding Pearson correlation of 0.99. For exosomes a significantly higher variability of miRNA expression was detected. In order to estimate the complexity and variability of the cell type specific miRNomes, we generated profiles for all considered cell types in a total of seven unaffected individuals. While CD15 positive cells showed the most complex miRNome consisting of 328 miRNAs, we detected significantly less miRNAs (186, p = 1.5*10(-5)) in CD19 positive cells. Moreover, our analysis showed functional enrichment in many relevant categories such as onco-miRNAs and tumor miRNA suppressors. Interestingly, exosomes were enriched just for onco-miRNAs but not for miRNA tumor suppressors. CONCLUSION: In sum, our results provide evidence that blood cell type specific miRNomes are very consistent between individuals and over time.
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spelling pubmed-40769802014-07-03 The human miRNA repertoire of different blood compounds Leidinger, Petra Backes, Christina Meder, Benjamin Meese, Eckart Keller, Andreas BMC Genomics Research Article BACKGROUND: MiRNAs from body fluids gain more and more attraction as biomarker candidates. Besides serum, patterns from whole blood are increasingly considered as markers for human pathologies. Usually, the contribution of different cell types to the respective signature remains however unknown. In this study we provide insights into the human miRNome of different compounds of the blood including CD3, CD14, CD15, CD19, CD56 positive cells as well as exosomes. METHODS: We measured the miRNA repertoire for each cell type and whole blood for two individuals at three time points over the course of one year in order to provide evidence that the cell type miRNomes can be reproducibly detected. RESULTS: For measurements repeated after 24 hours we found on average correlation of 0.97, even after one year profiles still correlated with 0.96, demonstrating the enormous stability of the cell type specific miRNomes. Highest correlation was found for CD15 positive cells, exceeding Pearson correlation of 0.99. For exosomes a significantly higher variability of miRNA expression was detected. In order to estimate the complexity and variability of the cell type specific miRNomes, we generated profiles for all considered cell types in a total of seven unaffected individuals. While CD15 positive cells showed the most complex miRNome consisting of 328 miRNAs, we detected significantly less miRNAs (186, p = 1.5*10(-5)) in CD19 positive cells. Moreover, our analysis showed functional enrichment in many relevant categories such as onco-miRNAs and tumor miRNA suppressors. Interestingly, exosomes were enriched just for onco-miRNAs but not for miRNA tumor suppressors. CONCLUSION: In sum, our results provide evidence that blood cell type specific miRNomes are very consistent between individuals and over time. BioMed Central 2014-06-14 /pmc/articles/PMC4076980/ /pubmed/24928098 http://dx.doi.org/10.1186/1471-2164-15-474 Text en © Leidinger et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Leidinger, Petra
Backes, Christina
Meder, Benjamin
Meese, Eckart
Keller, Andreas
The human miRNA repertoire of different blood compounds
title The human miRNA repertoire of different blood compounds
title_full The human miRNA repertoire of different blood compounds
title_fullStr The human miRNA repertoire of different blood compounds
title_full_unstemmed The human miRNA repertoire of different blood compounds
title_short The human miRNA repertoire of different blood compounds
title_sort human mirna repertoire of different blood compounds
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4076980/
https://www.ncbi.nlm.nih.gov/pubmed/24928098
http://dx.doi.org/10.1186/1471-2164-15-474
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