A Systematic Comparison of Purification and Normalization Protocols for Quantitative MicroRNA Expressional Profiling in Insulin-Producing Cells

Anna Lindeløv Vestergaard; Maaike Blankestijn; Jonathan Lucien Stahl; Emil Marek Heymans Pallesen; Claus Heiner Bang-Berthelsen; Flemming Pociot; Guy Wayne Novotny; Morten Lundh; Thomas Mandrup-Poulsen

doi:10.3390/ijms17060896

A Systematic Comparison of Purification and Normalization Protocols for Quantitative MicroRNA Expressional Profiling in Insulin-Producing Cells

Anna Lindeløv Vestergaard, Maaike Blankestijn, Jonathan Lucien Stahl, Emil Marek Heymans Pallesen, Claus Heiner Bang-Berthelsen, Flemming Pociot, Guy Wayne Novotny, Morten Lundh, Thomas Mandrup-Poulsen

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Abstract

As microRNAs (miRs) are gaining increasing attention as key regulators of cellular processes, expressional quantification is widely applied. However, in the processing of relatively quantified data, the importance of testing the stability of several reference mRNAs and/or miRs and choosing among these for normalization is often overlooked, potentially leading to biased results. Here, we have optimized the purification of miR-enriched total RNA from pancreatic insulin-producing INS-1 cells. Additionally, we optimized and analyzed miR expression by a qPCR-based microarray and by specific qPCR and tested the stability of candidate reference mRNAs and miRs. Hence, this study gives a widely applicable example on how to easily and systematically test and decide how to normalize miR quantification. We suggest that caution in the interpretation of miR quantification studies that do not comprise stability analysis should be exerted.

Original language	English
Article number	896
Journal	International Journal of Molecular Sciences (Online)
Volume	17
Issue number	6
Number of pages	8
ISSN	1661-6596
DOIs	https://doi.org/10.3390/ijms17060896
Publication status	Published - 7 Jun 2016

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A Systematic Comparison of Purification and Normalization Protocols for Quantitative MicroRNA Expressional Profiling in Insulin-Producing CellsFinal published version, 1.74 MBLicence: CC BY

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Vestergaard, A. L., Blankestijn, M., Stahl, J. L., Pallesen, E. M. H., Bang-Berthelsen, C. H., Pociot, F., Novotny, G. W., Lundh, M., & Mandrup-Poulsen, T. (2016). A Systematic Comparison of Purification and Normalization Protocols for Quantitative MicroRNA Expressional Profiling in Insulin-Producing Cells. International Journal of Molecular Sciences (Online), 17(6), [896]. https://doi.org/10.3390/ijms17060896

A Systematic Comparison of Purification and Normalization Protocols for Quantitative MicroRNA Expressional Profiling in Insulin-Producing Cells. / Vestergaard, Anna Lindeløv; Blankestijn, Maaike; Stahl, Jonathan Lucien et al.

In: International Journal of Molecular Sciences (Online), Vol. 17, No. 6, 896, 07.06.2016.

Research output: Contribution to journal › Comment/debate › Research › peer-review

Vestergaard, AL, Blankestijn, M, Stahl, JL, Pallesen, EMH, Bang-Berthelsen, CH, Pociot, F, Novotny, GW, Lundh, M & Mandrup-Poulsen, T 2016, 'A Systematic Comparison of Purification and Normalization Protocols for Quantitative MicroRNA Expressional Profiling in Insulin-Producing Cells', International Journal of Molecular Sciences (Online), vol. 17, no. 6, 896. https://doi.org/10.3390/ijms17060896

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abstract = "As microRNAs (miRs) are gaining increasing attention as key regulators of cellular processes, expressional quantification is widely applied. However, in the processing of relatively quantified data, the importance of testing the stability of several reference mRNAs and/or miRs and choosing among these for normalization is often overlooked, potentially leading to biased results. Here, we have optimized the purification of miR-enriched total RNA from pancreatic insulin-producing INS-1 cells. Additionally, we optimized and analyzed miR expression by a qPCR-based microarray and by specific qPCR and tested the stability of candidate reference mRNAs and miRs. Hence, this study gives a widely applicable example on how to easily and systematically test and decide how to normalize miR quantification. We suggest that caution in the interpretation of miR quantification studies that do not comprise stability analysis should be exerted.",

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AU - Pallesen, Emil Marek Heymans

AU - Bang-Berthelsen, Claus Heiner

AU - Pociot, Flemming

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AB - As microRNAs (miRs) are gaining increasing attention as key regulators of cellular processes, expressional quantification is widely applied. However, in the processing of relatively quantified data, the importance of testing the stability of several reference mRNAs and/or miRs and choosing among these for normalization is often overlooked, potentially leading to biased results. Here, we have optimized the purification of miR-enriched total RNA from pancreatic insulin-producing INS-1 cells. Additionally, we optimized and analyzed miR expression by a qPCR-based microarray and by specific qPCR and tested the stability of candidate reference mRNAs and miRs. Hence, this study gives a widely applicable example on how to easily and systematically test and decide how to normalize miR quantification. We suggest that caution in the interpretation of miR quantification studies that do not comprise stability analysis should be exerted.

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A Systematic Comparison of Purification and Normalization Protocols for Quantitative MicroRNA Expressional Profiling in Insulin-Producing Cells

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