» Articles » PMID: 21867561

Evaluation of Two Commercial Global MiRNA Expression Profiling Platforms for Detection of Less Abundant MiRNAs

Overview
Journal BMC Genomics
Publisher Biomed Central
Specialty Genetics
Date 2011 Aug 27
PMID 21867561
Citations 74
Authors
Affiliations
Soon will be listed here.
Abstract

Background: microRNAs (miRNA) are short, endogenous transcripts that negatively regulate the expression of specific mRNA targets. miRNAs are found both in tissues and body fluids such as plasma. A major perspective for the use of miRNAs in the clinical setting is as diagnostic plasma markers for neoplasia. While miRNAs are abundant in tissues, they are often scarce in plasma. For quantification of miRNA in plasma it is therefore of importance to use a platform with high sensitivity and linear performance in the low concentration range. This motivated us to evaluate the performance of three commonly used commercial miRNA quantification platforms: GeneChip miRNA 2.0 Array, miRCURY Ready-to-Use PCR, Human panel I+II V1.M, and TaqMan Human MicroRNA Array v3.0.

Results: Using synthetic miRNA samples and plasma RNA samples spiked with different ratios of 174 synthetic miRNAs we assessed the performance characteristics reproducibility, recovery, specificity, sensitivity and linearity. It was found that while the qRT-PCR based platforms were sufficiently sensitive to reproducibly detect miRNAs at the abundance levels found in human plasma, the array based platform was not. At high miRNA levels both qRT-PCR based platforms performed well in terms of specificity, reproducibility and recovery. At low miRNA levels, as in plasma, the miRCURY platform showed better sensitivity and linearity than the TaqMan platform.

Conclusion: For profiling clinical samples with low miRNA abundance, such as plasma samples, the miRCURY platform with its better sensitivity and linearity would probably be superior.

Citing Articles

Evaluation of Plasma microRNA-222 as a Biomarker for Gastric Cancer.

Wakamatsu K, Maruyama A, Okazumi S J Clin Med. 2025; 14(1.

PMID: 39797181 PMC: 11721468. DOI: 10.3390/jcm14010098.


MicroRNAs implicated in canine diffuse large B-cell lymphoma prognosis.

Elshafie N, Gribskov M, Lichti N, Sayedahmed E, Childress M, Dos Santos A FEBS Open Bio. 2024; 14(11):1899-1913.

PMID: 39218619 PMC: 11532975. DOI: 10.1002/2211-5463.13887.


Cancer-specific risk prediction with a serum microRNA signature.

Raut J, Bhardwaj M, Schottker B, Holleczek B, Schrotz-King P, Brenner H Cancer Sci. 2024; 115(6):2049-2058.

PMID: 38523358 PMC: 11145115. DOI: 10.1111/cas.16135.


Integrated Predictors by Propensity Scoring With Tumor Markers and Plasma Levels of microRNA-21-5p, IL-17, and IL-10 Complement Early Detection of Hepatocellular Carcinoma in Patients With Liver Cirrhosis.

Machida M, Ambo M, Mishina R, Hada N, Tachibana F, Yamashita M Technol Cancer Res Treat. 2023; 22:15330338231212084.

PMID: 37960842 PMC: 10647953. DOI: 10.1177/15330338231212084.


miRNome expression analysis in canine diffuse large B-cell lymphoma.

Elshafie N, Gribskov M, Lichti N, Sayedahmed E, Childress M, Dos Santos A Front Oncol. 2023; 13:1238613.

PMID: 37711209 PMC: 10499539. DOI: 10.3389/fonc.2023.1238613.


References
1.
Iorio M, Croce C . MicroRNAs in cancer: small molecules with a huge impact. J Clin Oncol. 2009; 27(34):5848-56. PMC: 2793003. DOI: 10.1200/JCO.2009.24.0317. View

2.
Altschul S, Erickson B . Optimal sequence alignment using affine gap costs. Bull Math Biol. 1986; 48(5-6):603-16. DOI: 10.1007/BF02462326. View

3.
Arroyo J, Chevillet J, Kroh E, Ruf I, Pritchard C, Gibson D . Argonaute2 complexes carry a population of circulating microRNAs independent of vesicles in human plasma. Proc Natl Acad Sci U S A. 2011; 108(12):5003-8. PMC: 3064324. DOI: 10.1073/pnas.1019055108. View

4.
Benes V, Castoldi M . Expression profiling of microRNA using real-time quantitative PCR, how to use it and what is available. Methods. 2010; 50(4):244-9. DOI: 10.1016/j.ymeth.2010.01.026. View

5.
Agaoglu F, Kovancilar M, Dizdar Y, Darendeliler E, Holdenrieder S, Dalay N . Investigation of miR-21, miR-141, and miR-221 in blood circulation of patients with prostate cancer. Tumour Biol. 2011; 32(3):583-8. DOI: 10.1007/s13277-011-0154-9. View