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Impact of blood collection and processing on peripheral blood gene expression profiling in type 1 diabetes
BACKGROUND: The natural history of type 1 diabetes (T1D) is challenging to investigate, especially as pre-diabetic individuals are difficult to identify. Numerous T1D consortia have been established to collect whole blood for gene expression analysis from individuals with or at risk to develop T1D....
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5563008/ https://www.ncbi.nlm.nih.gov/pubmed/28821222 http://dx.doi.org/10.1186/s12864-017-3949-2 |
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author | Yip, Linda Fuhlbrigge, Rebecca Atkinson, Mark A. Fathman, C. Garrison |
author_facet | Yip, Linda Fuhlbrigge, Rebecca Atkinson, Mark A. Fathman, C. Garrison |
author_sort | Yip, Linda |
collection | PubMed |
description | BACKGROUND: The natural history of type 1 diabetes (T1D) is challenging to investigate, especially as pre-diabetic individuals are difficult to identify. Numerous T1D consortia have been established to collect whole blood for gene expression analysis from individuals with or at risk to develop T1D. However, with no universally accepted protocol for their collection, differences in sample processing may lead to variances in the results. Here, we examined whether the choice of blood collection tube and RNA extraction kit leads to differences in the expression of genes that are changed during the progression of T1D, and if these differences could be minimized by measuring gene expression directly from the lysate of whole blood. RESULTS: Microarray analysis showed that the expression of 901 genes is highly influenced by sample processing using the PAXgene versus the Tempus system. These included a significant number of lymphocyte-specific genes and genes whose expression has been reported to differ in the peripheral blood of at-risk and T1D patients compared to controls. We showed that artificial changes in gene expression occur when control and T1D samples were processed differently. The sample processing-dependent differences in gene expression were largely due to loss of transcripts during the RNA extraction step using the PAXgene system. The majority of differences were not observed when gene expression was measured in whole blood lysates prepared from blood collected in PAXgene and Tempus tubes. CONCLUSION: We showed that the gene expression profile of samples processed using the Tempus system is more accurate than that of samples processed using the PAXgene system. Variation in sample processing can result in misleading changes in gene expression. However, these differences can be minimized by measuring gene expression directly in whole blood lysates. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-017-3949-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5563008 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55630082017-08-21 Impact of blood collection and processing on peripheral blood gene expression profiling in type 1 diabetes Yip, Linda Fuhlbrigge, Rebecca Atkinson, Mark A. Fathman, C. Garrison BMC Genomics Research Article BACKGROUND: The natural history of type 1 diabetes (T1D) is challenging to investigate, especially as pre-diabetic individuals are difficult to identify. Numerous T1D consortia have been established to collect whole blood for gene expression analysis from individuals with or at risk to develop T1D. However, with no universally accepted protocol for their collection, differences in sample processing may lead to variances in the results. Here, we examined whether the choice of blood collection tube and RNA extraction kit leads to differences in the expression of genes that are changed during the progression of T1D, and if these differences could be minimized by measuring gene expression directly from the lysate of whole blood. RESULTS: Microarray analysis showed that the expression of 901 genes is highly influenced by sample processing using the PAXgene versus the Tempus system. These included a significant number of lymphocyte-specific genes and genes whose expression has been reported to differ in the peripheral blood of at-risk and T1D patients compared to controls. We showed that artificial changes in gene expression occur when control and T1D samples were processed differently. The sample processing-dependent differences in gene expression were largely due to loss of transcripts during the RNA extraction step using the PAXgene system. The majority of differences were not observed when gene expression was measured in whole blood lysates prepared from blood collected in PAXgene and Tempus tubes. CONCLUSION: We showed that the gene expression profile of samples processed using the Tempus system is more accurate than that of samples processed using the PAXgene system. Variation in sample processing can result in misleading changes in gene expression. However, these differences can be minimized by measuring gene expression directly in whole blood lysates. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-017-3949-2) contains supplementary material, which is available to authorized users. BioMed Central 2017-08-18 /pmc/articles/PMC5563008/ /pubmed/28821222 http://dx.doi.org/10.1186/s12864-017-3949-2 Text en © The Author(s). 2017 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. 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 Yip, Linda Fuhlbrigge, Rebecca Atkinson, Mark A. Fathman, C. Garrison Impact of blood collection and processing on peripheral blood gene expression profiling in type 1 diabetes |
title | Impact of blood collection and processing on peripheral blood gene expression profiling in type 1 diabetes |
title_full | Impact of blood collection and processing on peripheral blood gene expression profiling in type 1 diabetes |
title_fullStr | Impact of blood collection and processing on peripheral blood gene expression profiling in type 1 diabetes |
title_full_unstemmed | Impact of blood collection and processing on peripheral blood gene expression profiling in type 1 diabetes |
title_short | Impact of blood collection and processing on peripheral blood gene expression profiling in type 1 diabetes |
title_sort | impact of blood collection and processing on peripheral blood gene expression profiling in type 1 diabetes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5563008/ https://www.ncbi.nlm.nih.gov/pubmed/28821222 http://dx.doi.org/10.1186/s12864-017-3949-2 |
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