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Similar articles for PubMed (Select 24973947)

1.

Evaluation of quantitative miRNA expression platforms in the microRNA quality control (miRQC) study.

Mestdagh P, Hartmann N, Baeriswyl L, Andreasen D, Bernard N, Chen C, Cheo D, D'Andrade P, DeMayo M, Dennis L, Derveaux S, Feng Y, Fulmer-Smentek S, Gerstmayer B, Gouffon J, Grimley C, Lader E, Lee KY, Luo S, Mouritzen P, Narayanan A, Patel S, Peiffer S, Rüberg S, Schroth G, Schuster D, Shaffer JM, Shelton EJ, Silveria S, Ulmanella U, Veeramachaneni V, Staedtler F, Peters T, Guettouche T, Wong L, Vandesompele J.

Nat Methods. 2014 Aug;11(8):809-15. doi: 10.1038/nmeth.3014. Epub 2014 Jun 29. Erratum in: Nat Methods. 2014 Sep;11(9):971.

PMID:
24973947
2.

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

Chen Y, Gelfond JA, McManus LM, Shireman PK.

BMC Genomics. 2009 Aug 28;10:407. doi: 10.1186/1471-2164-10-407.

3.

Systematic evaluation of three microRNA profiling platforms: microarray, beads array, and quantitative real-time PCR array.

Wang B, Howel P, Bruheim S, Ju J, Owen LB, Fodstad O, Xi Y.

PLoS One. 2011 Feb 11;6(2):e17167. doi: 10.1371/journal.pone.0017167.

4.
5.

Quantitative miRNA expression analysis using fluidigm microfluidics dynamic arrays.

Jang JS, Simon VA, Feddersen RM, Rakhshan F, Schultz DA, Zschunke MA, Lingle WL, Kolbert CP, Jen J.

BMC Genomics. 2011 Mar 9;12:144. doi: 10.1186/1471-2164-12-144.

6.

Intra-platform repeatability and inter-platform comparability of microRNA microarray technology.

Sato F, Tsuchiya S, Terasawa K, Tsujimoto G.

PLoS One. 2009;4(5):e5540. doi: 10.1371/journal.pone.0005540. Epub 2009 May 14.

7.

Concordance among digital gene expression, microarrays, and qPCR when measuring differential expression of microRNAs.

Pradervand S, Weber J, Lemoine F, Consales F, Paillusson A, Dupasquier M, Thomas J, Richter H, Kaessmann H, Beaudoing E, Hagenbüchle O, Harshman K.

Biotechniques. 2010 Mar;48(3):219-22. doi: 10.2144/000113367.

8.

MicroRNA detection in prostate tumors by quantitative real-time PCR (qPCR).

Gordanpour A, Nam RK, Sugar L, Bacopulos S, Seth A.

J Vis Exp. 2012 May 16;(63):e3874. doi: 10.3791/3874.

9.

Cross-platform analysis of global microRNA expression technologies.

Yauk CL, Rowan-Carroll A, Stead JD, Williams A.

BMC Genomics. 2010 May 26;11:330. doi: 10.1186/1471-2164-11-330.

10.

Comparison of microarray platforms for measuring differential microRNA expression in paired normal/cancer colon tissues.

Callari M, Dugo M, Musella V, Marchesi E, Chiorino G, Grand MM, Pierotti MA, Daidone MG, Canevari S, De Cecco L.

PLoS One. 2012;7(9):e45105. doi: 10.1371/journal.pone.0045105. Epub 2012 Sep 13. Erratum in: PLoS One. 2013;8(5). doi:10.1371/annotation/c38405cc-dc33-424e-bfcb-14de73f5c8c8.

11.

Diagnostic microRNA markers to screen for sporadic human colon cancer in stool: I. Proof of principle.

Ahmed FE, Ahmed NC, Vos PW, Bonnerup C, Atkins JN, Casey M, Nuovo GJ, Naziri W, Wiley JE, Mota H, Allison RR.

Cancer Genomics Proteomics. 2013 May-Jun;10(3):93-113.

PMID:
23741026
12.

Evaluation of two commercial global miRNA expression profiling platforms for detection of less abundant miRNAs.

Jensen SG, Lamy P, Rasmussen MH, Ostenfeld MS, Dyrskjøt L, Orntoft TF, Andersen CL.

BMC Genomics. 2011 Aug 26;12:435. doi: 10.1186/1471-2164-12-435.

13.

Performance comparison of digital microRNA profiling technologies applied on human breast cancer cell lines.

Knutsen E, Fiskaa T, Ursvik A, Jørgensen TE, Perander M, Lund E, Seternes OM, Johansen SD, Andreassen M.

PLoS One. 2013 Oct 8;8(10):e75813. doi: 10.1371/journal.pone.0075813. eCollection 2013.

14.

Multi-platform analysis of microRNA expression measurements in RNA from fresh frozen and FFPE tissues.

Kolbert CP, Feddersen RM, Rakhshan F, Grill DE, Simon G, Middha S, Jang JS, Simon V, Schultz DA, Zschunke M, Lingle W, Carr JM, Thompson EA, Oberg AL, Eckloff BW, Wieben ED, Li P, Yang P, Jen J.

PLoS One. 2013;8(1):e52517. doi: 10.1371/journal.pone.0052517. Epub 2013 Jan 31. Erratum in: PLoS One. 2014;9(1). doi:10.1371/annotation/7d397301-705d-46bb-92cc-ce725975273a.

15.

Measuring microRNA expression levels in oncology: from samples to data analysis.

De Cecco L, Dugo M, Canevari S, Daidone MG, Callari M.

Crit Rev Oncog. 2013;18(4):273-87. Review.

PMID:
23614615
16.

Systematic comparison of microarray profiling, real-time PCR, and next-generation sequencing technologies for measuring differential microRNA expression.

Git A, Dvinge H, Salmon-Divon M, Osborne M, Kutter C, Hadfield J, Bertone P, Caldas C.

RNA. 2010 May;16(5):991-1006. doi: 10.1261/rna.1947110. Epub 2010 Apr 1.

17.

Transcriptome sequencing of the Microarray Quality Control (MAQC) RNA reference samples using next generation sequencing.

Mane SP, Evans C, Cooper KL, Crasta OR, Folkerts O, Hutchison SK, Harkins TT, Thierry-Mieg D, Thierry-Mieg J, Jensen RV.

BMC Genomics. 2009 Jun 12;10:264. doi: 10.1186/1471-2164-10-264.

18.

A model for data analysis of microRNA expression in forensic body fluid identification.

Wang Z, Luo H, Pan X, Liao M, Hou Y.

Forensic Sci Int Genet. 2012 May;6(3):419-23. doi: 10.1016/j.fsigen.2011.08.008. Epub 2011 Sep 7.

PMID:
21903498
19.

Robust global microRNA expression profiling using next-generation sequencing technologies.

Tam S, de Borja R, Tsao MS, McPherson JD.

Lab Invest. 2014 Mar;94(3):350-8. doi: 10.1038/labinvest.2013.157. Epub 2014 Jan 20.

20.

Identification of suitable plasma-based reference genes for miRNAome analysis of major depressive disorder.

Liu X, Zhang L, Cheng K, Wang X, Ren G, Xie P.

J Affect Disord. 2014 Jul;163:133-9. doi: 10.1016/j.jad.2013.12.035. Epub 2014 Jan 2.

PMID:
24479999
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