The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Microarray results: how accurate are they?
Open accessAbstract
BACKGROUND: DNA microarray technology is a powerful technique that was recently developed in order to analyze thousands of genes in a short time. Presently, microarrays, or chips, of the cDNA type and oligonucleotide type are available from several sources. The number of publications in this area is increasing exponentially. RESULTS: In this study, microarray data obtained from two different commercially available systems were critically evaluated. Our analysis revealed several inconsistencies in the data obtained from the two different microarrays. Problems encountered included inconsistent sequence fidelity of the spotted microarrays, variability of differential expression, low specificity of cDNA microarray probes, discrepancy in fold-change calculation and lack of probe specificity for different isoforms of a gene. CONCLUSIONS: In view of these pitfalls, data from microarray analysis need to be interpreted cautiously.
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Cites
Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray
Schena, M., Shalon, D., Davis, R. W., & Brown, P. O. (1995) · Science · doi:10.1126/science.270.5235.467 · Cited by 9,609
Systematic variation in gene expression patterns in human cancer cell lines
Ross, D. T., Scherf, U., Eisen, M. B., Perou, C. M., Rees, C., Spellman, P., Iyer, V., Jeffrey, S. S., Van de Rijn, M., Waltham, M., et al. (2000) · Nature Genetics · doi:10.1038/73432 · Cited by 2,088
A Concise Guide to cDNA Microarray Analysis
Hegde, P., Qi, R., Abernathy, K., Gay, C., Dharap, S., Gaspard, R., Hughes, J. E., Snesrud, E., Lee, N., & Quackenbush, J. (2000) · BioTechniques · doi:10.2144/00293bi01 · Cited by 947
Analysis of matched mRNA measurements from two different microarray technologies
Kuo, W. P., Jenssen, T.-K., Butte, A. J., Ohno-Machado, L., & Kohane, I. S. (2002) · Bioinformatics · doi:10.1093/bioinformatics/18.3.405 · Cited by 480
Englerblum, G., Meier, M., Frank, J., & Muller, G. A. (1993) · Analytical Biochemistry · doi:10.1006/abio.1993.1189 · Cited by 407
Perforin: structure and function
Liu, C.-C., Walsh, C. M., & Young, J. D.-E. (1995) · Immunology Today · doi:10.1016/0167-5699(95)80121-9 · Cited by 356
Using oligonucleotide probe arrays to access genetic diversity
Lipshutz, R. J., Morris, D., Chee, M., Hubbell, E., Kozal, M. J., Shah, N., Shen, N., Yang, R., & Fodor, S. P. A. (1999) · Microsystem Technology: A Powerful Tool for Biomolecular Studies · doi:10.1007/978-3-0348-8817-2_9 · Cited by 339
PAC-1: a Mitogen-Induced Nuclear Protein Tyrosine Phosphatase
Rohan, P. J., Davis, P., Moskaluk, C. A., Kearns, M., Krutzsch, H., Siebenlist, U., & Kelly, K. (1993) · Science · doi:10.1126/science.7681221 · Cited by 290
Knight, J. (2001) · Nature · doi:10.1038/35073680 · Cited by 175
Glienke, J., Sobanov, Y., Brostjan, C., Steffens, C., Nguyen, C., Lehrach, H., Hofer, E., & Francis, F. (1998) · Immunogenetics · doi:10.1007/s002510050420 · Cited by 128
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DNA Biosensors and Microarrays
Sassolas, A., Leca-Bouvier, B. D., & Blum, L. J. (2008) · Chemical Reviews · doi:10.1021/cr0684467 · Cited by 1,246
Multiple-laboratory comparison of microarray platforms
Irizarry, R. A., Warren, D., Spencer, F., Kim, I. F., Biswal, S., Frank, B. C., Gabrielson, E., Garcia, J. G. N., Geoghegan, J., Germino, G., et al. (2005) · Nature Methods · doi:10.1038/nmeth756 · Cited by 862
Sotiriou, C., & Piccart, M. J. (2007) · Nature Reviews Cancer · doi:10.1038/nrc2173 · Cited by 461
Pinto, D., Darvishi, K., Shi, X., Rajan, D., Rigler, D., Fitzgerald, T., Lionel, A. C., Thiruvahindrapuram, B., MacDonald, J. R., Mills, R., et al. (2011) · Nature Biotechnology · doi:10.1038/nbt.1852 · Cited by 403
Barnes, M. (2005) · Nucleic Acids Research · doi:10.1093/nar/gki890 · Cited by 255
Metadata
- Authors
- Kothapalli, R., Yoder, S. J., Mane, S., & Loughran, T. P.
- Venue
- BMC Bioinformatics
- Published
- 2002-08-23
- Volume
- 3
- Issue
- 1
- Pages
- 22-22
- ISSN
- 1471-2105 (ISSN-L)
- OpenAlex
- W1594655861
- Cited by
- 282
- References
- 14
- FWCI
- 10.37
- Type
- journal article
- Language
- en
- Open access
- gold
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