Literature DB >> 19214110

Quality assessment of microarray data in a multicenter study.

Kellie J Archer1, Valeria R Mas, Thomas R O'Brien, Ruth Pfeiffer, Nicole L Lum, Robert A Fisher.   

Abstract

Issues implicit in a multicenter microarray study are protocol standardization and monitoring center adherence to established protocols. This study explored the effects of submitting center and sample preservation method on the quality of isolated RNA. In addition, the effects of sample preservation method and laboratory on microarray quality were also examined. Herein we evaluated the contribution of specific technical factors [center, laboratory, and preservation method (frozen/RNAlater)] on quality of isolated RNA, cRNA synthesis products, and reproducibility of gene expression microarray data for independent biologic samples collected in a multicenter microarray study. The Kruskal-Wallis test was used to test for differences owing to submitting center on isolated RNA quality. Mixed effects analysis of variance was used in assessing the impact of laboratory and preservation method on gene expression values for the 12 samples hybridized at 2 independent laboratories (24 GeneChips). One center was found to be in violation of the tissue handling protocol. No significant effect was noted owing to preservation method, which ensured that our tissue handling protocols are working properly. There was a significant laboratory effect with respect to cRNA yield, though this effect did not impact sample quality. We conclude that use of consistent protocols for sample collection, RNA extraction, cDNA/cRNA synthesis, labeling, hybridization, platform, image acquisition, normalization, and expression summaries can yield consistent expression values. Moreover, evaluation of sample quality at various steps in the data acquisition process is an important component of a multicenter study to ensure all participating centers adhere to established protocols.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19214110      PMCID: PMC3738008          DOI: 10.1097/PDM.0b013e3181731e14

Source DB:  PubMed          Journal:  Diagn Mol Pathol        ISSN: 1052-9551


  30 in total

1.  Normalization strategies for cDNA microarrays.

Authors:  J Schuchhardt; D Beule; A Malik; E Wolski; H Eickhoff; H Lehrach; H Herzel
Journal:  Nucleic Acids Res       Date:  2000-05-15       Impact factor: 16.971

Review 2.  Clinical application of cDNA microarrays in oncology.

Authors:  Lajos Pusztai; Mark Ayers; James Stec; Gabriel N Hortobágyi
Journal:  Oncologist       Date:  2003

3.  Moderate degradation does not preclude microarray analysis of small amounts of RNA.

Authors:  Oliver Schoor; Toni Weinschenk; Jörg Hennenlotter; Stefan Corvin; Arnulf Stenzl; Hans-Georg Rammensee; Stefan Stevanović
Journal:  Biotechniques       Date:  2003-12       Impact factor: 1.993

4.  Robust estimators for expression analysis.

Authors:  Earl Hubbell; Wei-Min Liu; Rui Mei
Journal:  Bioinformatics       Date:  2002-12       Impact factor: 6.937

5.  Assessing quality of hybridized RNA in Affymetrix GeneChip experiments using mixed-effects models.

Authors:  Kellie J Archer; Catherine I Dumur; Suresh E Joel; Viswanathan Ramakrishnan
Journal:  Biostatistics       Date:  2005-08-31       Impact factor: 5.899

6.  arrayQCplot: software for checking the quality of microarray data.

Authors:  Eun-Kyung Lee; Sung-Gon Yi; Taesung Park
Journal:  Bioinformatics       Date:  2006-07-24       Impact factor: 6.937

7.  Expression profiling using affymetrix genechip probe arrays.

Authors:  Martina Schinke-Braun; Jennifer A Couget
Journal:  Methods Mol Biol       Date:  2007

8.  Quality indicators increase the reliability of microarray data.

Authors:  Wolfgang Raffelsberger; Doulaye Dembélé; Mike G Neubauer; Marco M Gottardis; Hinrich Gronemeyer
Journal:  Genomics       Date:  2002-10       Impact factor: 5.736

9.  Protocols for the assurance of microarray data quality and process control.

Authors:  L D Burgoon; J E Eckel-Passow; C Gennings; D R Boverhof; J W Burt; C J Fong; T R Zacharewski
Journal:  Nucleic Acids Res       Date:  2005-11-04       Impact factor: 16.971

10.  Towards standardization of RNA quality assessment using user-independent classifiers of microcapillary electrophoresis traces.

Authors:  Sandrine Imbeaud; Esther Graudens; Virginie Boulanger; Xavier Barlet; Patrick Zaborski; Eric Eveno; Odilo Mueller; Andreas Schroeder; Charles Auffray
Journal:  Nucleic Acids Res       Date:  2005-03-30       Impact factor: 16.971

View more
  6 in total

Review 1.  Assessment of kidney organ quality and prediction of outcome at time of transplantation.

Authors:  Thomas F Mueller; Kim Solez; Valeria Mas
Journal:  Semin Immunopathol       Date:  2011-01-28       Impact factor: 9.623

Review 2.  Detection call algorithms for high-throughput gene expression microarray data.

Authors:  Kellie J Archer; Sarah E Reese
Journal:  Brief Bioinform       Date:  2009-11-25       Impact factor: 11.622

3.  Reproducible RNA preparation from sugarcane and citrus for functional genomic applications.

Authors:  Mona B Damaj; Phillip D Beremand; Marco T Buenrostro-Nava; Beth Riedel; Joe J Molina; Siva P Kumpatla; Terry L Thomas; T Erik Mirkov
Journal:  Int J Plant Genomics       Date:  2010-01-27

4.  The effects of angiotensin receptor neprilysin inhibition by sacubitril/valsartan on adipose tissue transcriptome and protein expression in obese hypertensive patients.

Authors:  R Stinkens; B W van der Kolk; J Jordan; T Jax; S Engeli; T Heise; J W Jocken; M May; C Schindler; B Havekes; N Schaper; D Albrecht; S Kaiser; N Hartmann; M Letzkus; T H Langenickel; G H Goossens; E E Blaak
Journal:  Sci Rep       Date:  2018-03-02       Impact factor: 4.379

5.  Integrative Analyses of Circulating Small RNAs and Kidney Graft Transcriptome in Transplant Glomerulopathy.

Authors:  Canan Kuscu; Manjari Kiran; Akram Mohammed; Cem Kuscu; Sarthak Satpathy; Aaron Wolen; Elissa Bardhi; Amandeep Bajwa; James D Eason; Daniel Maluf; Valeria Mas; Enver Akalin
Journal:  Int J Mol Sci       Date:  2021-06-09       Impact factor: 5.923

6.  Clinical implementation of RNA signatures for pharmacogenomic decision-making.

Authors:  Weihua Tang; Zhiyuan Hu; Hind Muallem; Margaret L Gulley
Journal:  Pharmgenomics Pers Med       Date:  2011-09-08
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.