The DOI matches its Crossref record; 161 of the 161 references it cites were found in a registry or an index.
Basic Concepts of Microarrays and Potential Applications in Clinical Microbiology
Open accessAbstract
SUMMARY: The introduction of in vitro nucleic acid amplification techniques, led by real-time PCR, into the clinical microbiology laboratory has transformed the laboratory detection of viruses and select bacterial pathogens. However, the progression of the molecular diagnostic revolution currently relies on the ability to efficiently and accurately offer multiplex detection and characterization for a variety of infectious disease pathogens. Microarray analysis has the capability to offer robust multiplex detection but has just started to enter the diagnostic microbiology laboratory. Multiple microarray platforms exist, including printed double-stranded DNA and oligonucleotide arrays, in situ-synthesized arrays, high-density bead arrays, electronic microarrays, and suspension bead arrays. One aim of this paper is to review microarray technology, highlighting technical differences between them and each platform's advantages and disadvantages. Although the use of microarrays to generate gene expression data has become routine, applications pertinent to clinical microbiology continue to rapidly expand. This review highlights uses of microarray technology that impact diagnostic microbiology, including the detection and identification of pathogens, determination of antimicrobial resistance, epidemiological strain typing, and analysis of microbial infections using host genomic expression and polymorphism profiles.
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Detection of specific sequences among DNA fragments separated by gel electrophoresis
Southern, E. M. (1975) · Journal of Molecular Biology · doi:10.1016/s0022-2836(75)80083-0 · Cited by 32,249
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
Light-Directed, Spatially Addressable Parallel Chemical Synthesis
Fodor, S. P. A., Read, J. L., Pirrung, M. C., Stryer, L., Lu, A. T., & Solas, D. (1991) · Science · doi:10.1126/science.1990438 · Cited by 2,696
Characterization of a Novel Coronavirus Associated with Severe Acute Respiratory Syndrome
Rota, P. A., Oberste, M. S., Monroe, S. S., Nix, W. A., Campagnoli, R., Icenogle, J. P., Peñaranda, S., Bankamp, B., Maher, K., Chen, M.-H., et al. (2003) · Science · doi:10.1126/science.1085952 · Cited by 2,474
lumi: a pipeline for processing Illumina microarray
Du, P., Kibbe, W. A., & Lin, S. M. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn224 · Cited by 2,019
A network-based analysis of systemic inflammation in humans
Program, I. A. H. R. T. I. L. S. C. R., Calvano, S. E., Xiao, W., Richards, D. R., Felciano, R. M., Baker, H. V., Cho, R. J., Chen, R. O., Brownstein, B. H., Cobb, J. P., et al. (2005) · Nature · doi:10.1038/nature03985 · Cited by 1,429
Kafatos, F. C., Jones, C. W., & Efstratiadis, A. (1979) · Nucleic Acids Research · doi:10.1093/nar/7.6.1541 · Cited by 1,360
Genetic requirements for mycobacterial survival during infection
Sassetti, C. M., & Rubin, E. J. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2134250100 · Cited by 1,354
Expression profiling using microarrays fabricated by an ink-jet oligonucleotide synthesizer
Hughes, T. R., Mao, M., Jones, A. R., Burchard, J., Marton, M. J., Shannon, K. W., Lefkowitz, S. M., Ziman, M., Schelter, J. M., Meyer, M. R., et al. (2001) · Nature Biotechnology · doi:10.1038/86730 · Cited by 1,298
Genomic analysis of the host response to hepatitis C virus infection
Su, A. I., Pezacki, J. P., Wodicka, L., Brideau, A. D., Supekova, L., Thimme, R., Wieland, S., Bukh, J., Purcell, R. H., Schultz, P. G., et al. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.202608199 · Cited by 1,161
Cited by
Chiu, C. Y., & Miller, S. A. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0113-7 · Cited by 1,620
Optical sensor arrays for chemical sensing: the optoelectronic nose
Askim, J. R., Mahmoudi, M., & Suslick, K. S. (2013) · Chemical Society Reviews · doi:10.1039/c3cs60179j · Cited by 886
Current and Emerging Methods of Antibiotic Susceptibility Testing
Khan, Z. A., Siddiqui, M. F., & Park, S. (2019) · Diagnostics · doi:10.3390/diagnostics9020049 · Cited by 442
Multiplex in vitro detection using SERS
Laing, S., Gracie, K., & Faulds, K. (2016) · Chemical Society Reviews · doi:10.1039/c5cs00644a · Cited by 361
Emerging Technologies for the Clinical Microbiology Laboratory
Buchan, B. W., & Ledeboer, N. A. (2014) · Clinical Microbiology Reviews · doi:10.1128/cmr.00003-14 · Cited by 297
Metadata
- Authors
- Miller, M. B., & Tang, Y.-W.
- Venue
- Clinical Microbiology Reviews
- Publisher
- American Society for Microbiology
- Published
- 2009-10
- Volume
- 22
- Issue
- 4
- Pages
- 611-633
- ISSN
- 0893-8512 (ISSN-L)
- 1098-6618
- OpenAlex
- W2167940954
- Cited by
- 419
- References
- 161
- FWCI
- 10.08
- Type
- journal article
- Language
- en
- Open access
- green
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