Home LiteratureArticle Details
PMID: 19715577 Published · epublish English Comparative Study Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Reproducibility of quantitative RT-PCR array in miRNA expression profiling and comparison with microarray analysis.

BMC genomics ·Vol. 10 ·2009-08-28 ·Pages 407

Chen Y, Gelfond JA, McManus LM, Shireman PK

Abstract

MicroRNAs (miRNAs) have critical functions in various biological processes. MiRNA profiling is an important tool for the identification of differentially expressed miRNAs in normal cellular and disease processes. A technical challenge remains for high-throughput miRNA expression analysis as the number of miRNAs continues to increase with in silico prediction and experimental verification. Our study critically evaluated the performance of a novel miRNA expression profiling approach, quantitative RT-PCR array (qPCR-array), compared to miRNA detection with oligonucleotide microchip (microarray). High reproducibility with qPCR-array was demonstrated by comparing replicate results from the same RNA sample. Pre-amplification of the miRNA cDNA improved sensitivity of the qPCR-array and increased the number of detectable miRNAs. Furthermore, the relative expression levels of miRNAs were maintained after pre-amplification. When the performance of qPCR-array and microarrays were compared using different aliquots of the same RNA, a low correlation between the two methods (r=-0.443) indicated considerable variability between the two assay platforms. Higher variation between replicates was observed in miRNAs with low expression in both assays. Finally, a higher false positive rate of differential miRNA expression was observed using the microarray compared to the qPCR-array. Our studies demonstrated high reproducibility of TaqMan qPCR-array. Comparison between different reverse transcription reactions and qPCR-arrays performed on different days indicated that reverse transcription reactions did not introduce significant variation in the results. The use of cDNA pre-amplification increased the sensitivity of miRNA detection. Although there was variability associated with pre-amplification in low abundance miRNAs, the latter did not involve any systemic bias in the estimation of miRNA expression. Comparison between microarray and qPCR-array indicated superior sensitivity and specificity of qPCR-array.

MeSH Terms
Animals Cell Line Gene Expression Profiling/methods Mice MicroRNAs/genetics Oligonucleotide Array Sequence Analysis/methods Reproducibility of Results Reverse Transcriptase Polymerase Chain Reaction/methods Sensitivity and Specificity Sequence Analysis, RNA
Chemicals
MicroRNAs
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Chen Yongxin
Department of Surgery, University of Texas Health Science Center, San Antonio, TX 78229, USA. cheny4@uthscsa.edu
Gelfond Jonathan A L
McManus Linda M
Shireman Paula K
References (41)
41 references, click to expand
  1. Differential patterns of microRNA expression in neuroblastoma are correlated with prognosis, differentiation, and apoptosis.
    Cancer Res. 2007 Feb 1;67(3):976-83 PMID: 17283129
  2. Microarray-based, high-throughput gene expression profiling of microRNAs.
    Nat Methods. 2004 Nov;1(2):155-61 PMID: 15782179
  3. miChip: an array-based method for microRNA expression profiling using locked nucleic acid capture probes.
    Nat Protoc. 2008;3(2):321-9 PMID: 18274534
  4. Identification of tissue-specific microRNAs from mouse.
    Curr Biol. 2002 Apr 30;12(9):735-9 PMID: 12007417
  5. Evaluation of gene expression measurements from commercial microarray platforms.
    Nucleic Acids Res. 2003 Oct 1;31(19):5676-84 PMID: 14500831
  6. MicroRNA expression profiling of single whole embryonic stem cells.
    Nucleic Acids Res. 2006 Jan 24;34(2):e9 PMID: 16434699
  7. microRNA-133a regulates cardiomyocyte proliferation and suppresses smooth muscle gene expression in the heart.
    Genes Dev. 2008 Dec 1;22(23):3242-54 PMID: 19015276
  8. MicroRNA detection by microarray.
    Anal Bioanal Chem. 2009 Jun;394(4):1117-24 PMID: 19132354
  9. A high-throughput method to monitor the expression of microRNA precursors.
    Nucleic Acids Res. 2004 Feb 25;32(4):e43 PMID: 14985473
  10. How do microRNAs regulate gene expression?
    Biochem Soc Trans. 2008 Dec;36(Pt 6):1224-31 PMID: 19021530
  11. MicroRNA-34a functions as a potential tumor suppressor by inducing apoptosis in neuroblastoma cells.
    Oncogene. 2007 Jul 26;26(34):5017-22 PMID: 17297439
  12. The functions of animal microRNAs.
    Nature. 2004 Sep 16;431(7006):350-5 PMID: 15372042
  13. Performance evaluation of commercial short-oligonucleotide microarrays and the impact of noise in making cross-platform correlations.
    BMC Genomics. 2004 Sep 02;5:61 PMID: 15345031
  14. High-throughput stem-loop RT-qPCR miRNA expression profiling using minute amounts of input RNA.
    Nucleic Acids Res. 2008 Dec;36(21):e143 PMID: 18940866
  15. Fidelity and enhanced sensitivity of differential transcription profiles following linear amplification of nanogram amounts of endothelial mRNA.
    Physiol Genomics. 2003 Apr 16;13(2):147-56 PMID: 12700361
  16. Expression profiling of mammalian microRNAs uncovers a subset of brain-expressed microRNAs with possible roles in murine and human neuronal differentiation.
    Genome Biol. 2004;5(3):R13 PMID: 15003116
  17. Translational regulation by non-protein-coding RNAs: different targets, common themes.
    Biochem Biophys Res Commun. 2008 Sep 5;373(4):462-6 PMID: 18590701
  18. microParaflo biochip for nucleic acid and protein analysis.
    Methods Mol Biol. 2007;382:287-312 PMID: 18220239
  19. In situ synthesis of oligonucleotide microarrays.
    Biopolymers. 2004 Apr 5;73(5):579-96 PMID: 15048782
  20. Identification of novel genes coding for small expressed RNAs.
    Science. 2001 Oct 26;294(5543):853-8 PMID: 11679670
  21. The diverse functions of microRNAs in animal development and disease.
    Dev Cell. 2006 Oct;11(4):441-50 PMID: 17011485
  22. miRBase: tools for microRNA genomics.
    Nucleic Acids Res. 2008 Jan;36(Database issue):D154-8 PMID: 17991681
  23. Target labelling for the detection and profiling of microRNAs expressed in CNS tissue using microarrays.
    BMC Biotechnol. 2006 Dec 12;6:47 PMID: 17164008
  24. Strategies for profiling microRNA expression.
    J Cell Physiol. 2009 Jan;218(1):22-5 PMID: 18767038
  25. Measuring microRNAs: comparisons of microarray and quantitative PCR measurements, and of different total RNA prep methods.
    BMC Biotechnol. 2008 Sep 11;8:69 PMID: 18783629
  26. Identification of glucose-regulated miRNAs from pancreatic {beta} cells reveals a role for miR-30d in insulin transcription.
    RNA. 2009 Feb;15(2):287-93 PMID: 19096044
  27. Real-time quantification of microRNAs by stem-loop RT-PCR.
    Nucleic Acids Res. 2005 Nov 27;33(20):e179 PMID: 16314309
  28. An abundant class of tiny RNAs with probable regulatory roles in Caenorhabditis elegans.
    Science. 2001 Oct 26;294(5543):858-62 PMID: 11679671
  29. MicroRNA expression profiles classify human cancers.
    Nature. 2005 Jun 9;435(7043):834-8 PMID: 15944708
  30. A new mathematical model for relative quantification in real-time RT-PCR.
    Nucleic Acids Res. 2001 May 1;29(9):e45 PMID: 11328886
  31. MicroRNA microarray identifies Let-7i as a novel biomarker and therapeutic target in human epithelial ovarian cancer.
    Cancer Res. 2008 Dec 15;68(24):10307-14 PMID: 19074899
  32. Getting to the root of miRNA-mediated gene silencing.
    Cell. 2008 Jan 11;132(1):9-14 PMID: 18191211
  33. Advantages of mRNA amplification for microarray analysis.
    Biotechniques. 2002 Oct;33(4):906-12, 914 PMID: 12398200
  34. A comparison of normalization methods for high density oligonucleotide array data based on variance and bias.
    Bioinformatics. 2003 Jan 22;19(2):185-93 PMID: 12538238
  35. MicroRNAs: genomics, biogenesis, mechanism, and function.
    Cell. 2004 Jan 23;116(2):281-97 PMID: 14744438
  36. MicroRNA expression detected by oligonucleotide microarrays: system establishment and expression profiling in human tissues.
    Genome Res. 2004 Dec;14(12):2486-94 PMID: 15574827
  37. Use of Bordetella pertussis BP3385 to establish a cutoff value for an IS481-targeted real-time PCR assay.
    J Clin Microbiol. 2008 Nov;46(11):3798-9 PMID: 18784312
  38. An oligonucleotide microchip for genome-wide microRNA profiling in human and mouse tissues.
    Proc Natl Acad Sci U S A. 2004 Jun 29;101(26):9740-4 PMID: 15210942
  39. A novel microarray approach reveals new tissue-specific signatures of known and predicted mammalian microRNAs.
    Nucleic Acids Res. 2007;35(7):e52 PMID: 17355992
  40. Real-time expression profiling of microRNA precursors in human cancer cell lines.
    Nucleic Acids Res. 2005 Sep 28;33(17):5394-403 PMID: 16192569
  41. The moments of the z and F distributions.
    Biometrika. 1949 Dec;36(3-4):394-403 PMID: 15402074
Article Info
Journal
BMC genomics
Abbr.
BMC Genomics
ISSN
1471-2164
Published
2009-08-28
Epub
2009-00-28
Pages
407
Language
English
Region
England
NLM ID
100965258
PMCID
PMC2753550
Subset
IM
Grants
NHLBI NIH HHS · T32HL07446 · United States
NHLBI NIH HHS · T32 HL007446 · United States
NCATS NIH HHS · UL1 TR000149 · United States
NHLBI NIH HHS · R01HL074236 · United States
NCATS NIH HHS · KL2 TR000118 · United States
NCRR NIH HHS · UL1 RR025767 · United States
NCRR NIH HHS · KL2 RR025766 · United States
NHLBI NIH HHS · R01 HL074236 · United States
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: product@genelibs.com