Multi-Platform Analysis of MicroRNA Expression Measurements in RNA from Fresh Frozen and FFPE Tissues

被引:73
作者
Kolbert, Christopher P. [1 ]
Feddersen, Rod M. [1 ]
Rakhshan, Fariborz [1 ]
Grill, Diane E. [2 ]
Simon, Gyorgy [2 ]
Middha, Sumit [2 ]
Jang, Jin Sung [1 ]
Simon, Vernadette [1 ]
Schultz, Debra A. [1 ]
Zschunke, Michael [3 ]
Lingle, Wilma [3 ]
Carr, Jennifer M. [4 ]
Thompson, E. Aubrey [4 ]
Oberg, Ann L. [2 ]
Eckloff, Bruce W. [5 ]
Wieben, Eric D. [5 ]
Li, Peter [2 ]
Yang, Ping [6 ]
Jen, Jin [1 ]
机构
[1] Mayo Clin, Med Genome Facil Gene Express Core, Rochester, MN 55905 USA
[2] Mayo Clin, Div Biomed Stat & Informat, Dept Hlth Sci Res, Rochester, MN USA
[3] Mayo Clin, Rochester, MN USA
[4] Mayo Clin, Jacksonville, FL 32224 USA
[5] Mayo Clin, Med Genome Facil Sequencing Core, Rochester, MN USA
[6] Mayo Clin, Dept Hlth Sci Res, Div Epidemiol, Rochester, MN USA
来源
PLOS ONE | 2013年 / 8卷 / 01期
关键词
CAENORHABDITIS-ELEGANS; GENE-EXPRESSION; HEART-FAILURE; LUNG-CANCER; C-ELEGANS; TRANSLATION; LIN-14; TRANSCRIPTOME; TECHNOLOGY; INITIATION;
D O I
10.1371/journal.pone.0052517
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
MicroRNAs play a role in regulating diverse biological processes and have considerable utility as molecular markers for diagnosis and monitoring of human disease. Several technologies are available commercially for measuring microRNA expression. However, cross-platform comparisons do not necessarily correlate well, making it difficult to determine which platform most closely represents the true microRNA expression level in a tissue. To address this issue, we have analyzed RNA derived from cell lines, as well as fresh frozen and formalin-fixed paraffin embedded tissues, using Affymetrix, Agilent, and Illumina microRNA arrays, NanoString counting, and Illumina Next Generation Sequencing. We compared the performance within-and between the different platforms, and then verified these results with those of quantitative PCR data. Our results demonstrate that the within-platform reproducibility for each method is consistently high and although the gene expression profiles from each platform show unique traits, comparison of genes that were commonly detectable showed that detection of microRNA transcripts was similar across multiple platforms.
引用
收藏
页数:9
相关论文
共 37 条
  • [1] The functions of animal microRNAs
    Ambros, V
    [J]. NATURE, 2004, 431 (7006) : 350 - 355
  • [2] Genomic profiling of MicroRNA and messenger RNA reveals deregulated MicroRNA expression in prostate cancer
    Ambs, Stefan
    Prueitt, Robyn L.
    Yi, Ming
    Hudson, Robert S.
    Howe, Tiffany M.
    Petrocca, Fabio
    Wallace, Tiffany A.
    Liu, Chang-Gong
    Volinia, Stefano
    Calin, George A.
    Yfantis, Harris G.
    Stephens, Robert M.
    Croce, Carlo M.
    [J]. CANCER RESEARCH, 2008, 68 (15) : 6162 - 6170
  • [3] [Anonymous], 2001, SCIENCE, DOI DOI 10.1126/science.1065062
  • [4] Regulation by let-7 and lin-4 miRNAs results in target mRNA degradation
    Bagga, S
    Bracht, J
    Hunter, S
    Massirer, K
    Holtz, J
    Eachus, R
    Pasquinelli, AE
    [J]. CELL, 2005, 122 (04) : 553 - 563
  • [5] MicroRNAs: Target Recognition and Regulatory Functions
    Bartel, David P.
    [J]. CELL, 2009, 136 (02) : 215 - 233
  • [6] Comprehensive miRNA profiling of surgically staged endometrial cancer
    Cohn, David E.
    Fabbri, Muller
    Valeri, Nicola
    Alder, Hansjuerg
    Ivanov, Iouri
    Liu, Chang-Gong
    Croce, Carlo M.
    Resnick, Kimberly E.
    [J]. AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 2010, 202 (06) : 656.e1 - 656.e8
  • [7] Characterization of microRNA expression levels and their biological correlates in human cancer cell lines
    Gaur, Arti
    Jewell, David A.
    Liang, Yu
    Ridzon, Dana
    Moore, Jason H.
    Chen, Caifu
    Ambros, Victor R.
    Israel, Mark A.
    [J]. CANCER RESEARCH, 2007, 67 (06) : 2456 - 2468
  • [8] Direct multiplexed measurement of gene expression with color-coded probe pairs
    Geiss, Gary K.
    Bumgarner, Roger E.
    Birditt, Brian
    Dahl, Timothy
    Dowidar, Naeem
    Dunaway, Dwayne L.
    Fell, H. Perry
    Ferree, Sean
    George, Renee D.
    Grogan, Tammy
    James, Jeffrey J.
    Maysuria, Malini
    Mitton, Jeffrey D.
    Oliveri, Paola
    Osborn, Jennifer L.
    Peng, Tao
    Ratcliffe, Amber L.
    Webster, Philippa J.
    Davidson, Eric H.
    Hood, Leroy
    [J]. NATURE BIOTECHNOLOGY, 2008, 26 (03) : 317 - 325
  • [9] Systematic comparison of microarray profiling, real-time PCR, and next-generation sequencing technologies for measuring differential microRNA expression
    Git, Anna
    Dvinge, Heidi
    Salmon-Divon, Mali
    Osborne, Michelle
    Kutter, Claudia
    Hadfield, James
    Bertone, Paul
    Caldas, Carlos
    [J]. RNA, 2010, 16 (05) : 991 - 1006
  • [10] miRBase: tools for microRNA genomics
    Griffiths-Jones, Sam
    Saini, Harpreet Kaur
    van Dongen, Stijn
    Enright, Anton J.
    [J]. NUCLEIC ACIDS RESEARCH, 2008, 36 : D154 - D158