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Improved Methodology for Assessment of mRNA Levels in Blood of Patients with FMR1 Related Disorders

BACKGROUND: Elevated levels of FMR1 mRNA in blood have been implicated in RNA toxicity associated with a number of clinical conditions. Due to the extensive inter-sample variation in the time lapse between the blood collection and RNA extraction in clinical practice, the resulting variation in mRNA...

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Autores principales: Godler, David E, Loesch, Danuta Z, Huggins, Richard, Gordon, Lavinia, Slater, Howard R, Gehling, Freya, Burgess, Trent, Choo, KH Andy
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2708186/
https://www.ncbi.nlm.nih.gov/pubmed/19505339
http://dx.doi.org/10.1186/1472-6890-9-5
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author Godler, David E
Loesch, Danuta Z
Huggins, Richard
Gordon, Lavinia
Slater, Howard R
Gehling, Freya
Burgess, Trent
Choo, KH Andy
author_facet Godler, David E
Loesch, Danuta Z
Huggins, Richard
Gordon, Lavinia
Slater, Howard R
Gehling, Freya
Burgess, Trent
Choo, KH Andy
author_sort Godler, David E
collection PubMed
description BACKGROUND: Elevated levels of FMR1 mRNA in blood have been implicated in RNA toxicity associated with a number of clinical conditions. Due to the extensive inter-sample variation in the time lapse between the blood collection and RNA extraction in clinical practice, the resulting variation in mRNA quality significantly confounds mRNA analysis by real-time PCR. METHODS: Here, we developed an improved method to normalize for mRNA degradation in a sample set with large variation in rRNA quality, without sample omission. Initially, RNA samples were artificially degraded, and analyzed using capillary electrophoresis and real-time PCR standard curve method, with the aim of defining the best predictors of total RNA and mRNA degradation. RESULTS: We found that: (i) the 28S:18S ratio and RNA quality indicator (RQI) were good predictors of severe total RNA degradation, however, the greatest changes in the quantity of different mRNAs (FMR1, DNMT1, GUS, B2M and GAPDH) occurred during the early to moderate stages of degradation; (ii) chromatographic features for the 18S, 28S and the inter-peak region were the most reliable predictors of total RNA degradation, however their use for target gene normalization was inferior to internal control genes, of which GUS was the most appropriate. Using GUS for normalization, we examined in the whole blood the relationship between the FMR1 mRNA and CGG expansion in a non-coding portion of this gene, in a sample set (n = 30) with the large variation in rRNA quality. By combining FMR1 3' and 5' mRNA analyses the confounding impact of mRNA degradation on the correlation between FMR1 expression and CGG size was minimized, and the biological significance increased from p = 0.046 for the 5' FMR1 assay, to p = 0.018 for the combined FMR1 3' and 5' mRNA analysis. CONCLUSION: Our observations demonstrate that, through the use of an appropriate internal control and the direct analysis of multiple sites of target mRNA, samples that do not conform to the conventional rRNA criteria can still be utilized to obtain biologically/clinically relevant data. Although, this strategy clearly has application for improved assessment of FMR1 mRNA toxicity in blood, it may also have more general implications for gene expression studies in fresh and archival tissues.
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spelling pubmed-27081862009-07-09 Improved Methodology for Assessment of mRNA Levels in Blood of Patients with FMR1 Related Disorders Godler, David E Loesch, Danuta Z Huggins, Richard Gordon, Lavinia Slater, Howard R Gehling, Freya Burgess, Trent Choo, KH Andy BMC Clin Pathol Research Article BACKGROUND: Elevated levels of FMR1 mRNA in blood have been implicated in RNA toxicity associated with a number of clinical conditions. Due to the extensive inter-sample variation in the time lapse between the blood collection and RNA extraction in clinical practice, the resulting variation in mRNA quality significantly confounds mRNA analysis by real-time PCR. METHODS: Here, we developed an improved method to normalize for mRNA degradation in a sample set with large variation in rRNA quality, without sample omission. Initially, RNA samples were artificially degraded, and analyzed using capillary electrophoresis and real-time PCR standard curve method, with the aim of defining the best predictors of total RNA and mRNA degradation. RESULTS: We found that: (i) the 28S:18S ratio and RNA quality indicator (RQI) were good predictors of severe total RNA degradation, however, the greatest changes in the quantity of different mRNAs (FMR1, DNMT1, GUS, B2M and GAPDH) occurred during the early to moderate stages of degradation; (ii) chromatographic features for the 18S, 28S and the inter-peak region were the most reliable predictors of total RNA degradation, however their use for target gene normalization was inferior to internal control genes, of which GUS was the most appropriate. Using GUS for normalization, we examined in the whole blood the relationship between the FMR1 mRNA and CGG expansion in a non-coding portion of this gene, in a sample set (n = 30) with the large variation in rRNA quality. By combining FMR1 3' and 5' mRNA analyses the confounding impact of mRNA degradation on the correlation between FMR1 expression and CGG size was minimized, and the biological significance increased from p = 0.046 for the 5' FMR1 assay, to p = 0.018 for the combined FMR1 3' and 5' mRNA analysis. CONCLUSION: Our observations demonstrate that, through the use of an appropriate internal control and the direct analysis of multiple sites of target mRNA, samples that do not conform to the conventional rRNA criteria can still be utilized to obtain biologically/clinically relevant data. Although, this strategy clearly has application for improved assessment of FMR1 mRNA toxicity in blood, it may also have more general implications for gene expression studies in fresh and archival tissues. BioMed Central 2009-06-09 /pmc/articles/PMC2708186/ /pubmed/19505339 http://dx.doi.org/10.1186/1472-6890-9-5 Text en Copyright © 2009 Godler et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Godler, David E
Loesch, Danuta Z
Huggins, Richard
Gordon, Lavinia
Slater, Howard R
Gehling, Freya
Burgess, Trent
Choo, KH Andy
Improved Methodology for Assessment of mRNA Levels in Blood of Patients with FMR1 Related Disorders
title Improved Methodology for Assessment of mRNA Levels in Blood of Patients with FMR1 Related Disorders
title_full Improved Methodology for Assessment of mRNA Levels in Blood of Patients with FMR1 Related Disorders
title_fullStr Improved Methodology for Assessment of mRNA Levels in Blood of Patients with FMR1 Related Disorders
title_full_unstemmed Improved Methodology for Assessment of mRNA Levels in Blood of Patients with FMR1 Related Disorders
title_short Improved Methodology for Assessment of mRNA Levels in Blood of Patients with FMR1 Related Disorders
title_sort improved methodology for assessment of mrna levels in blood of patients with fmr1 related disorders
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2708186/
https://www.ncbi.nlm.nih.gov/pubmed/19505339
http://dx.doi.org/10.1186/1472-6890-9-5
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