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VEGF-A mRNA measurement in meningiomas using a new simplified approach: branched DNA and chemiluminescence

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@article{0620e6038bad4ff68cf2940b75ef93cb,
title = "VEGF-A mRNA measurement in meningiomas using a new simplified approach: branched DNA and chemiluminescence",
abstract = "For decades, the preferred and almost sole method for measurement of gene expression has been RT-qPCR. The method is robust, inexpensive, and well-studied; however, PCR is also quite laborious and vulnerable to contamination. As part of an investigation of VEGF-A gene expression in meningiomas, an alternative and less laborious method for gene expression analysis based on branched DNA hybridization and chemiluminescence (Lumistar) was tested. Albeit the two methods differ, in principle, cellular mRNA-concentration is measured with both. Because they both determine gene expression via the measurement of mRNA-concentration, they were expected to be comparable. The aim of the present study was to compare Lumistar to the traditional RT-qPCR approach in a routine laboratory setting, where there is emphasis on rapid analysis response. Meningioma (n = 10) and control brain tissue (n = 5) samples were collected and VEGF-A and GAPDH mRNA were quantified using both RT-qPCR and Lumistar. Furthermore, two dilution series of two of the meningioma samples were prepared in order to make quantitative analyses. Both Lumistar and RT-qPCR-results were found to follow concentration dependent linear paths when diluted (p < 0.0001 and p < 0.01). Finally, Lumistar and RT-qPCR analyses were performed with the inclusion of a reference gene (GAPDH), where similar results were obtained with the two methods (R2 = 0.48; p = 0.01). It is intriguing that in spite of the vast difference in handling and assay principles, gene expression results are similar. The preferred method depends on the variability of the samples, budget, and time. Lumistar was less time consuming, while RT-qPCR was less expensive and best suited for data sets with large sample variability.",
author = "Henrik Dyrbye and Damoun Nassehi and S{\o}rensen, {Lars Peter} and Marianne Juhler and Henning Laursen and Helle Broholm",
year = "2016",
doi = "10.5414/NP300583",
language = "English",
volume = "35",
pages = "13--21",
journal = "Clinical Neuropathology",
issn = "0722-5091",
publisher = "Dustri-Verlag Dr. Karl Feistle",

}

RIS

TY - JOUR

T1 - VEGF-A mRNA measurement in meningiomas using a new simplified approach

T2 - branched DNA and chemiluminescence

AU - Dyrbye, Henrik

AU - Nassehi, Damoun

AU - Sørensen, Lars Peter

AU - Juhler, Marianne

AU - Laursen, Henning

AU - Broholm, Helle

PY - 2016

Y1 - 2016

N2 - For decades, the preferred and almost sole method for measurement of gene expression has been RT-qPCR. The method is robust, inexpensive, and well-studied; however, PCR is also quite laborious and vulnerable to contamination. As part of an investigation of VEGF-A gene expression in meningiomas, an alternative and less laborious method for gene expression analysis based on branched DNA hybridization and chemiluminescence (Lumistar) was tested. Albeit the two methods differ, in principle, cellular mRNA-concentration is measured with both. Because they both determine gene expression via the measurement of mRNA-concentration, they were expected to be comparable. The aim of the present study was to compare Lumistar to the traditional RT-qPCR approach in a routine laboratory setting, where there is emphasis on rapid analysis response. Meningioma (n = 10) and control brain tissue (n = 5) samples were collected and VEGF-A and GAPDH mRNA were quantified using both RT-qPCR and Lumistar. Furthermore, two dilution series of two of the meningioma samples were prepared in order to make quantitative analyses. Both Lumistar and RT-qPCR-results were found to follow concentration dependent linear paths when diluted (p < 0.0001 and p < 0.01). Finally, Lumistar and RT-qPCR analyses were performed with the inclusion of a reference gene (GAPDH), where similar results were obtained with the two methods (R2 = 0.48; p = 0.01). It is intriguing that in spite of the vast difference in handling and assay principles, gene expression results are similar. The preferred method depends on the variability of the samples, budget, and time. Lumistar was less time consuming, while RT-qPCR was less expensive and best suited for data sets with large sample variability.

AB - For decades, the preferred and almost sole method for measurement of gene expression has been RT-qPCR. The method is robust, inexpensive, and well-studied; however, PCR is also quite laborious and vulnerable to contamination. As part of an investigation of VEGF-A gene expression in meningiomas, an alternative and less laborious method for gene expression analysis based on branched DNA hybridization and chemiluminescence (Lumistar) was tested. Albeit the two methods differ, in principle, cellular mRNA-concentration is measured with both. Because they both determine gene expression via the measurement of mRNA-concentration, they were expected to be comparable. The aim of the present study was to compare Lumistar to the traditional RT-qPCR approach in a routine laboratory setting, where there is emphasis on rapid analysis response. Meningioma (n = 10) and control brain tissue (n = 5) samples were collected and VEGF-A and GAPDH mRNA were quantified using both RT-qPCR and Lumistar. Furthermore, two dilution series of two of the meningioma samples were prepared in order to make quantitative analyses. Both Lumistar and RT-qPCR-results were found to follow concentration dependent linear paths when diluted (p < 0.0001 and p < 0.01). Finally, Lumistar and RT-qPCR analyses were performed with the inclusion of a reference gene (GAPDH), where similar results were obtained with the two methods (R2 = 0.48; p = 0.01). It is intriguing that in spite of the vast difference in handling and assay principles, gene expression results are similar. The preferred method depends on the variability of the samples, budget, and time. Lumistar was less time consuming, while RT-qPCR was less expensive and best suited for data sets with large sample variability.

U2 - 10.5414/NP300583

DO - 10.5414/NP300583

M3 - Journal article

C2 - 26413777

VL - 35

SP - 13

EP - 21

JO - Clinical Neuropathology

JF - Clinical Neuropathology

SN - 0722-5091

ER -

ID: 45866912