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Accuracy and calibration of commercial oligonucleotide and custom cDNA microarrays
Open accessAbstract
We compared the accuracy of microarray measurements obtained with oligonucleotide arrays (GeneChip, Affymetrix) with a laboratory-developed cDNA array by assaying test RNA samples from an experiment using a paradigm known to regulate many genes measured on both arrays. We selected 47 genes represented on both arrays, including both known regulated and unregulated transcripts, and established reference relative expression measurements for these genes in the test RNA samples using quantitative reverse transcriptase real-time PCR (QRTPCR) assays. The validity of the reproducible (average coefficient of variation = 11.8%) QRTPCR measurements were established through application of a new mathematical model. The performance of both array platforms in identifying regulated and non-regulated genes was identical. With either platform, 16 of 17 definitely regulated genes were correctly identified, and no definitely unregulated transcript was falsely identified as regulated. Accuracy of the fold-change measurements obtained with each platform was assessed by determining measurement bias. Both platforms consistently underestimate the relative changes in mRNA expression between experimental and control samples. The bias observed with cDNA arrays was predictable for fold-changes <250-fold by QRTPCR and could be corrected by the calibration function F(c) = F(a(cDNA))(q), where F(a(cDNA)) is the microarray-determined fold-change comparing experimental with control samples, q is the correction factor and F(c) is the calibrated value. The bias observed with the commercial oligonucleotide arrays was less predictable and calibration was unfeasible. Following calibration, fold-change measurements generated by custom cDNA arrays were more accurate than those obtained by commercial oligonucleotide arrays. Our study demonstrates systematic bias of microarray measurements and identifies a calibration function that improves the accuracy of cDNA array data.
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“A robust global normalization algorithm, using expression levels of the housekeeping genes ribosomal protein S11 (rps11), -actin (actb), and ␣-tubulin (tuba), was used for all experiments, as described elsewhere (15,16).”
From Cytokine Response Is Determined by Duration of Receptor and Signal Transducers and Activators of Transcription 3 (STAT3) Activation (2013) · cites this paper as [16]
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Single-Step Method of RNA Isolation by Acid Guanidinium Thiocyanate–Phenol–Chloroform Extraction
Chomczynski, P., & Sacchi, N. (1987) · Analytical Biochemistry · doi:10.1006/abio.1987.9999 · Cited by 65,515
A new mathematical model for relative quantification in real-time RT-PCR
Pfaffl, M. W. (2001) · Nucleic Acids Research · doi:10.1093/nar/29.9.e45 · Cited by 34,610
Modern Applied Statistics with S
Venables, W. N., & Ripley, B. D. (2002) · Statisctics and computing/Statistics and computing · doi:10.1007/978-0-387-21706-2 · Cited by 25,941
Golub, T. R., Slonim, D. K., Tamayo, P., Huard, C., Gaasenbeek, M., Mesirov, J. P., Coller, H., Loh, M. L., Downing, J. R., Caligiuri, M. A., et al. (1999) · Science · doi:10.1126/science.286.5439.531 · Cited by 11,516
Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling
Alizadeh, A. A., Eisen, M. B., Davis, R. E., Ma, C., Lossos, I. S., Rosenwald, A., Boldrick, J. C., Sabet, H., Tran, T., Yu, X., et al. (2000) · Nature · doi:10.1038/35000501 · Cited by 9,925
Bustin, S. A. (2000) · Journal of Molecular Endocrinology · doi:10.1677/jme.0.0250169 · Cited by 3,844
Modern Applied Statistics with S-Plus.
Venables, W. N., & Ripley, B. D. (1996) · Biometrics · doi:10.2307/2532871 · Cited by 3,012
Exploring the new world of the genome with DNA microarrays
Brown, P. O., & Botstein, D. (1999) · Nature Genetics · doi:10.1038/4462 · Cited by 2,430
High density synthetic oligonucleotide arrays
Lipshutz, R. J., Fodor, S. P. A., Gingeras, T., & Lockhart, D. J. (1999) · Nature Genetics · doi:10.1038/4447 · Cited by 2,204
The Transcriptional Program in the Response of Human Fibroblasts to Serum
Iyer, V. R., Eisen, M. B., Ross, D. T., Schuler, G. D., Moore, T. A., Lee, J. C. F., Trent, J. M., Staudt, L. M., Hudson, J., Boguski, M. S., et al. (1999) · Science · doi:10.1126/science.283.5398.83 · Cited by 1,966
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Items 301–400 of 520
Long-Term Reduction in Poly(dimethylsiloxane) Surface Hydrophobicity via Cold-Plasma Treatments
Larson, B. J., Gillmor, S. D., Braun, J. M., Cruz‐Barba, L. E., Savage, D. E., Denes, F. S., & Lagally, M. G. (2013) · Langmuir · doi:10.1021/la403077q · Cited by 29
Tang, H., Zhu, J., Wang, D., & Li, Y. (2019) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2019.02.023 · Cited by 29
Tao, W., Hangoc, G., Hawes, J. W., Si, Y. C., Cooper, S. H., & Broxmeyer, H. E. (2003) · Experimental Hematology · doi:10.1016/s0301-472x(02)01083-4 · Cited by 29
Szatmári, Á., Zvara, Á., Móricz, Á. M., Besenyei, E., Szabó, E., Ott, P. G., Puskás, L. G., & Bozsó, Z. (2014) · PLoS ONE · doi:10.1371/journal.pone.0102869 · Cited by 28
Lu, Y. C., He, X., & Zhong, S. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm408 · Cited by 28
Xu, L., Jiang, T., Zhang, F., Han, J., Liu, J., Zhao, H. J., Li, X., Liu, R.-J., Deng, Y., Wu, X., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0065948 · Cited by 28
Microarray Analysis Demonstrates a Role for Slug in Epidermal Homeostasis
Newkirk, K. M., MacKenzie, D. A., Bakaletz, A. P., Hudson, L. G., & Kusewitt, D. F. (2007) · Journal of Investigative Dermatology · doi:10.1038/sj.jid.5700990 · Cited by 28
Holloway, A. J., Oshlack, A., Diyagama, D. S., Bowtell, D. D. L., & Smyth, G. K. (2006) · BMC Bioinformatics · doi:10.1186/1471-2105-7-511 · Cited by 27
de Bernonville, T. D., Noël, L. D., SanCristobal, M., Danoun, S., Becker, A., Soreau, P., Arlat, M., & Lauber, E. (2014) · FEMS Microbiology Ecology · doi:10.1111/1574-6941.12345 · Cited by 27
Bhasin, M., Huang, Z. S., Pradhan‐Nabzdyk, L., Malek, J. Y., LoGerfo, P. J., Contreras, M., Guthrie, P., Csizmadia, E., Andersen, N. D., Kocher, O. N., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0039123 · Cited by 27
Skovgaard, K., Grell, S. N., Heegaard, P. M. H., Jungersen, G., Pudrith, C. B., & Coussens, P. M. (2006) · Veterinary Immunology and Immunopathology · doi:10.1016/j.vetimm.2006.02.006 · Cited by 27
Boverhof, D. R. (2004) · Carcinogenesis · doi:10.1093/carcin/bgh114 · Cited by 27
Bengtsson, H. L., & Hössjer, O. (2006) · BMC Bioinformatics · doi:10.1186/1471-2105-7-100 · Cited by 26
Validating nutrient-related gene expression changes from microarrays using RT2 PCR-arrays
Gaj, S., Eijssen, L., Mensink, R. P., & Evelo, C. T. (2008) · Genes & Nutrition · doi:10.1007/s12263-008-0094-1 · Cited by 26
Nikolova-Krstevski, V., Bhasin, M., Otu, H. H., Libermann, T. A., & Oettgen, P. (2008) · BMC Genomics · doi:10.1186/1471-2164-9-240 · Cited by 26
Genomic expression pathways associated with brain injury after cardiopulmonary bypass
Ramlawi, B., Otu, H. H., Rudolph, J. L., Mieno, S., Kohane, I. S., Can, H., Libermann, T. A., Marcantonio, E. R., Bianchi, C. F., & Sellke, F. W. (2007) · Journal of Thoracic and Cardiovascular Surgery · doi:10.1016/j.jtcvs.2007.01.096 · Cited by 26
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Scheel, J., von Brevern, M., Hörlein, A., Fischer, A., Schneider, A., & Bach, A. (2002) · Pharmacogenomics · doi:10.1517/14622416.3.6.791 · Cited by 26
Dynamic association rules for gene expression data analysis
Chen, S., Tsai, T.-H., Chung, C.-H., & Li, W. (2015) · BMC Genomics · doi:10.1186/s12864-015-1970-x · Cited by 26
Busse, P. J., Zhang, T. F., Schofield, B., Kilaru, S. M., Patil, S. A., & Li, X. (2009) · Annals of Allergy Asthma & Immunology · doi:10.1016/s1081-1206(10)60528-5 · Cited by 25
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Lu, B., Asara, J. M., Sanda, M. G., & Arredouani, M. S. (2011) · PLoS ONE · doi:10.1371/journal.pone.0028837 · Cited by 25
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Coughlan, S., Agrawal, V., & Meyers, B. C. (2004) · Comparative and Functional Genomics · doi:10.1002/cfg.397 · Cited by 25
Transcriptional Profiling of Rhesus Monkey Embryonic Stem Cells1
Byrne, J., Mitalipov, S. M., Clepper, L., & Wolf, D. P. (2006) · Biology of Reproduction · doi:10.1095/biolreprod.106.053868 · Cited by 25
Jelier, R., Hoen, P. A. C. ’., Sterrenburg, E., den Dunnen, J. T., van Ommen, G. B., Kors, J. A., & Mons, B. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-291 · Cited by 25
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Seto, J., Qiao, L., Guenzel, C. A., Xiao, S., Shaw, M. L., Hayot, F., & Sealfon, S. C. (2010) · Journal of Virology · doi:10.1128/jvi.01335-10 · Cited by 24
Helle, J., Keiler, A. M., Zierau, O., Dörfelt, P., Vollmer, G., Lehmann, L., Chittur, S. V., Tenniswood, M., Welsh, J., & Kretzschmar, G. (2017) · The Journal of Steroid Biochemistry and Molecular Biology · doi:10.1016/j.jsbmb.2017.03.004 · Cited by 24
Bender, K. O., Ng, C. L., & Tortorella, D. (2009) · Journal of Biological Chemistry · doi:10.1074/jbc.m807568200 · Cited by 24
Reddy, A. P., & Bethea, C. L. (2005) · Psychopharmacology · doi:10.1007/s00213-005-2154-1 · Cited by 24
Digital quantitative measurements of gene expression
Mikkilineni, V., Mitra, R. D., Merritt, J., DiTonno, J. R., Church, G. M., Ogunnaike, B. A., & Edwards, J. S. (2004) · Biotechnology and Bioengineering · doi:10.1002/bit.20048 · Cited by 24
Hauberg‐Lotte, L., Klingenberg, H., Scharf, C., Böhm, M., Plessl, J., Friedrich, F., Völker, U., Becker, A., & Reinhold‐Hurek, B. (2012) · PLoS ONE · doi:10.1371/journal.pone.0030421 · Cited by 23
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Sinicropi, D. V., Cronin, M. T., & Liu, M. (2007) · Springer eBooks · doi:10.1007/978-0-387-25843-0_2 · Cited by 23
Kodzius, R., Matsumura, Y., Kasukawa, T., Shimokawa, K., Fukuda, S., Shiraki, T., Nakamura, M., Arakawa, T., Sasaki, D., Kawai, J., et al. (2004) · FEBS Letters · doi:10.1016/s0014-5793(04)00018-3 · Cited by 23
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Ramakrishnan, R., Yu, W., & Rice, A. P. (2011) · BMC Research Notes · doi:10.1186/1756-0500-4-260 · Cited by 22
Mager, J., Schultz, R. M., Brunk, B. P., & Bartolomei, M. S. (2006) · Mammalian Genome · doi:10.1007/s00335-006-0034-6 · Cited by 22
Kunz, D., Walker, G., Bedoucha, M., Certa, U., März, P., Dimitriades‐Schmutz, B., & Otten, U. (2009) · BMC Genomics · doi:10.1186/1471-2164-10-90 · Cited by 22
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Ramesh, N., Massaad, M. J., Kumar, L., Koduru, S., Sasahara, Y., Antón, I. M., Bhasin, M., Libermann, T. A., & Geha, R. S. (2014) · Molecular and Cellular Biology · doi:10.1128/mcb.00017-14 · Cited by 21
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Kerr, K. F., Serikawa, K. A., Wei, C., Peters, M. A., & Bumgarner, R. E. (2007) · OMICS A Journal of Integrative Biology · doi:10.1089/omi.2007.0012 · Cited by 21
Gowen, B. B., Fairman, J., DOW, S. W., Troyer, R. M., Wong, M., Jung, K., Melby, P. C., & Morrey, J. D. (2008) · Antiviral Research · doi:10.1016/j.antiviral.2008.09.001 · Cited by 21
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Emmett, M. R., Kroes, R. A., Moskal, J. R., Conrad, C. A., Priebe, W., Laezza, F., Meyer‐Baese, A., & Nilsson, C. L. (2013) · Neuropsychopharmacology · doi:10.1038/npp.2013.156 · Cited by 21
Goret, J., Roy, C. L., Touati, A., Mesureur, J., Renaudin, H., Claverol, S., Bébéar, C., Béven, L., & Pereyre, S. (2016) · Future Microbiology · doi:10.2217/fmb.15.130 · Cited by 21
Amstutz, U., Giger, T., Champigneulle, A., Day, P. J., & Largiadèr, C. R. (2006) · Aquaculture · doi:10.1016/j.aquaculture.2006.06.007 · Cited by 19
Estler, M., Bošković, G., Denvir, J., Miles, S. L., Primerano, D. A., & Niles, R. M. (2008) · BMC Genomics · doi:10.1186/1471-2164-9-478 · Cited by 19
Furusawa, C., Ono, N., Suzuki, S., 縣, 朋., Shimizu, H., & Yomo, T. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn570 · Cited by 19
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Salit, M. (2006) · Methods in enzymology on CD-ROM/Methods in enzymology · doi:10.1016/s0076-6879(06)11005-8 · Cited by 19
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Hoffmann, R. F. G., & Melchers, F. (2003) · Current Opinion in Immunology · doi:10.1016/s0952-7915(03)00047-5 · Cited by 19
Tetteh, A. Y., Sun, K. H., Hung, C., Kittur, F. S., Ibeanu, G. C., Williams, D., & Xie, J. (2014) · International Journal of Microbiology · doi:10.1155/2014/394835 · Cited by 18
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Seidel, S. D. (2004) · Mutagenesis · doi:10.1093/mutage/geh027 · Cited by 16
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Thibodeau, B. J., Geddes, T. J., Fortier, L. E., Ahmed, S. I., Pruetz, B. L., Wobb, J., Chen, P., Wilson, G. D., & Åkervall, J. (2014) · Head and Neck Pathology · doi:10.1007/s12105-014-0597-6 · Cited by 15
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Sarkar, A., Marszałkowska, M., Schafer, M. K.-H., Pees, T., Klingenberg, H., Macht, F., & Reinhold‐Hurek, B. (2016) · Environmental Microbiology · doi:10.1111/1462-2920.13569 · Cited by 15
Suárez‐Fariñas, M., & Magnasco, M. O. (2007) · Methods in molecular biology · doi:10.1007/978-1-59745-390-5_8 · Cited by 14
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Dombkowski, A. A., Cukovic, D., & NOVAK, R. F. (2005) · Cancer Letters · doi:10.1016/j.canlet.2005.10.008 · Cited by 13
Magnusson, N. E., Cardozo, A. K., Kruhøffer, M., Eizirik, D. L., Orntoft, T. F., & Jensen, J. L. (2005) · BMC Bioinformatics · doi:10.1186/1471-2105-6-311 · Cited by 13
Svensson, B. A. T., Kreeft, A. J., van Ommen, G. B., den Dunnen, J. T., & Boer, J. M. (2003) · Genome biology · doi:10.1186/gb-2003-4-5-r35 · Cited by 13
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Rowlands, J. C., Budinsky, R. A., Gollapudi, B. B., NOVAK, R. F., Abdelmegeed, M. A., Cukovic, D., & Dombkowski, A. A. (2011) · Chemosphere · doi:10.1016/j.chemosphere.2011.06.026 · Cited by 12
Kim, S., Kiyosawa, N., Burgoon, L. D., Chang, C. C., & Zacharewski, T. R. (2013) · The Journal of Steroid Biochemistry and Molecular Biology · doi:10.1016/j.jsbmb.2013.06.004 · Cited by 13
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Wang, X., Jia, S., Meyer, L., Xiang, B., Chen, L.-Y., Jiang, N., Moreno, C., Jacob, H. J., Ghosh, S., & Hessner, M. J. (2006) · BMC Bioinformatics · doi:10.1186/1471-2105-7-378 · Cited by 12
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Nanda, S. K., Baron, J., Royall, E., Robinson, L., Francesco Falciani, B., & Baron, M. D. (2009) · Virology · doi:10.1016/j.virol.2009.09.031 · Cited by 11
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Zheng, X., Huang, H.-C., Li, W., Liu, P., Li, Q., & Liu, Y. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm002 · Cited by 10
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Production of custom microarrays for neuroscience research
Newton, S. S., Bennett, A., & Duman, R. S. (2005) · Methods · doi:10.1016/j.ymeth.2005.09.004 · Cited by 10
Jin-zhong, L. I., Pan, H., Zheng, J., Zhou, X., Zhang, P., Chen, W., & Zhang, Z. (2008) · Chinese Medical Journal · doi:10.1097/00029330-200810010-00006 · Cited by 10
Wang, K., Otu, H. H., Chen, Y., Lee, Y. S., Latham, K. E., & Cibelli, J. B. (2012) · PLoS ONE · doi:10.1371/annotation/5aa90741-1a8a-4443-83b1-c5abcb59bb51 · Cited by 10
Albrecht, E. A., Dhanasekaran, S. M., & Tomlins, S. A. (2010) · Inflammation Research · doi:10.1007/s00011-010-0286-1 · Cited by 9
Cytotoxic Doses of Ketoconazole Affect Expression of a Subset of Hepatic Genes
Casley, W. L., Ogrodowczyk, C., Larocque, L., Jaentschke, B., LeBlanc-Westwood, C. A., Menzies, J. A., Whitehouse, L. W., Hefford, M. A., Aubin, R. A., Thorn, C. F., et al. (2007) · Journal of Toxicology and Environmental Health · doi:10.1080/15287390701551407 · Cited by 9
Optimization of oligonucleotide microarray fabricated by spotting 65-mer
Lee, M., Trent, J. M., & Bittner, M. L. (2007) · Analytical Biochemistry · doi:10.1016/j.ab.2007.06.005 · Cited by 9
Genome‐wide Examination of the Natural Solar Radiation Response in Shewanella oneidensis MR‐1
Qiu, X., Tiedje, J. M., & Sundin, G. W. (2005) · Photochemistry and Photobiology · doi:10.1562/2005-04-15-ra-490 · Cited by 9
Publications, V., & Arvas, M. (2007) · Cited by 9
Global genomic approaches to the iron-regulated proteome.
Liu, Y., Popović, Z., & Templeton, D. M. (2005) · PubMed · Cited by 9
Reif, D. M., Israel, M. A., & Moore, J. H. (2007) · PubMed Central · Cited by 9
Metadata
- Authors
- Yuen, T.
- Affiliations
- Icahn School of Medicine at Mount Sinai (US)
- Corresponding author
- Yuen, T.
- ORCID
- Yuen, T.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2002-05-15
- Volume
- 30
- Issue
- 10
- Pages
- 48e-48
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- PMC
- PMC115302
- OpenAlex
- W2098453858
- Cited by
- 520
- References
- 20
- Citations by year
- 2026: 1 · 2025: 2 · 2023: 7 · 2022: 1 · 2020: 1 · 2019: 2 · 2018: 3 · 2017: 5 · 2016: 11 · 2015: 5 · 2014: 12 · 2013: 15 · 2012: 16
- FWCI
- 22.54
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Nucleic Acids Research (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (DK46943, RO1 DK46943)
- National Institute on Drug Abuse (P01DA012923, P01-DA12923)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01 DK 46943., R01DK046943)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Molecular Biology Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- oligonucleotide microarrays, cDNA microarray, measurement bias, gene expression profiling, Affymetrix GeneChip, calibration function, mRNA expression
- MeSH terms
- Animals, Calibration, Cell Line, Gene Expression Regulation, RNA, Sensitivity and Specificity, Transcription, Genetic, Reproducibility of Results, Reverse Transcriptase Polymerase Chain Reaction, Oligonucleotide Array Sequence Analysis
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