The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
An evaluation of the performance of cDNA microarrays for detecting changes in global mRNA expression
Open accessAbstract
The cDNA microarray is one technological approach that has the potential to accurately measure changes in global mRNA expression levels. We report an assessment of an optimized cDNA microarray platform to generate accurate, precise and reliable data consistent with the objective of using microarrays as an acquisition platform to populate gene expression databases. The study design consisted of two independent evaluations with 70 arrays from two different manufactured lots and used three human tissue sources as samples: placenta, brain and heart. Overall signal response was linear over three orders of magnitude and the sensitivity for any element was estimated to be 2 pg mRNA. The calculated coefficient of variation for differential expression for all non-differentiated elements was 12-14% across the entire signal range and did not vary with array batch or tissue source. The minimum detectable fold change for differential expression was 1.4. Accuracy, in terms of bias (observed minus expected differential expression ratio), was less than 1 part in 10 000 for all non-differentiated elements. The results presented in this report demonstrate the reproducible performance of the cDNA microarray technology platform and the methods provide a useful framework for evaluating other technologies that monitor changes in global mRNA expression.
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Littell, R. C. (1996) · Medical Entomology and Zoology · Cited by 10,341
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
Serial Analysis of Gene Expression
Velculescu, V. E., Zhang, L., Vogelstein, B., & Kinzler, K. W. (1995) · Science · doi:10.1126/science.270.5235.484 · Cited by 3,711
Expression monitoring by hybridization to high-density oligonucleotide arrays
Lockhart, D. J., Dong, H., Byrne, M. C., Follettie, M. T., Gallo, M. V., Chee, M. S., Mittmann, M., Wang, C., Kobayashi, M., Norton, H., et al. (1996) · Nature Biotechnology · doi:10.1038/nbt1296-1675 · Cited by 2,840
Complementary DNA Sequencing: Expressed Sequence Tags and Human Genome Project
Adams, M. D., Kelley, J. M., Gocayne, J. D., Dubnick, M., Polymeropoulos, M. H., Xiao, H., Merril, C. R., Wu, A., Olde, B., Moreno, R. F., et al. (1991) · Science · doi:10.1126/science.2047873 · Cited by 2,285
Gene expression analysis by massively parallel signature sequencing (MPSS) on microbead arrays.
Brenner, S., Johnson, M., Bridgham, J., Golda, G., Lloyd, D. H., Johnson, D., Luo, S., McCurdy, S., Foy, M., Ewan, M., et al. (2000) · Nature Biotechnology · doi:10.1038/76469 · Cited by 1,360
The FlyBase Database of the Drosophila Genome Projects and community literature
The FlyBase Consortium (1999) · Nucleic Acids Research · doi:10.1093/nar/27.1.85 · Cited by 325
DNA microarray technology: the anticipated impact on the study of human disease
Khan, J., Bittner, M. L., Chen, Y., Meltzer, P. S., & Trent, J. M. (1999) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/s0304-419x(99)00004-9 · Cited by 159
TOGA: An automated parsing technology for analyzing expression of nearly all genes
Sutcliffe, J. G., Foye, P. E., Erlander, M. G., Hilbush, B. S., Bodzin, L. J., Durham, J. T., & Hasel, K. W. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.040537997 · Cited by 131
Systematic Management and Analysis of Yeast Gene Expression DataPreprint
Aach, J., Rindone, W. P., & Church, G. M. (2000) · Genome Research · doi:10.1101/gr.10.4.431 · Cited by 118
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Caño‐Delgado, A., Penfield, S., Smith, C., Catley, M., & Bevan, M. (2003) · The Plant Journal · doi:10.1046/j.1365-313x.2003.01729.x · Cited by 458
Properties of the Reverse Transcription Reaction in mRNA Quantification
Ståhlberg, A., Håkansson, J., Xian, X., Semb, H., & Kubista, M. (2004) · Clinical Chemistry · doi:10.1373/clinchem.2003.026161 · Cited by 409
A genomewide oscillation in transcription gates DNA replication and cell cycle
Klevecz, R. R., Bolen, J., Forrest, G., & Murray, D. B. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0306490101 · Cited by 321
Analysis of microarray experiments of gene expression profiling
Tarca, A. L., Romero, R., & Draghici, S. (2006) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2006.07.001 · Cited by 304
Metadata
- Authors
- Yue, H.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2001-04-15
- Volume
- 29
- Issue
- 8
- Pages
- 41e-41
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2164155888
- Cited by
- 309
- References
- 14
- FWCI
- 17.59
- Type
- journal article
- Language
- en
- Open access
- bronze
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