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Articoli di riviste sul tema "DNA microarrays"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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1

Weitzman, Jonathan B. "DNA/DNA microarrays." Genome Biology 2 (2001): spotlight—20010813–03. http://dx.doi.org/10.1186/gb-spotlight-20010813-03.

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2

Aparna, G. M., and Kishore K. R. Tetala. "Recent Progress in Development and Application of DNA, Protein, Peptide, Glycan, Antibody, and Aptamer Microarrays." Biomolecules 13, no. 4 (2023): 602. http://dx.doi.org/10.3390/biom13040602.

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Abstract (sommario):

Microarrays are one of the trailblazing technologies of the last two decades and have displayed their importance in all the associated fields of biology. They are widely explored to screen, identify, and gain insights on the characteristics traits of biomolecules (individually or in complex solutions). A wide variety of biomolecule-based microarrays (DNA microarrays, protein microarrays, glycan microarrays, antibody microarrays, peptide microarrays, and aptamer microarrays) are either commercially available or fabricated in-house by researchers to explore diverse substrates, surface coating, i

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3

Hofman, Paul. "DNA Microarrays." Nephron Physiology 99, no. 3 (2005): p85—p89. http://dx.doi.org/10.1159/000083764.

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4

Cook, Stuart A., and Anthony Rosenzweig. "DNA Microarrays." Circulation Research 91, no. 7 (2002): 559–64. http://dx.doi.org/10.1161/01.res.0000036019.55901.62.

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5

Biesen, R., and T. Häupl. "DNA-Microarrays." Zeitschrift für Rheumatologie 70, no. 9 (2011): 803–8. http://dx.doi.org/10.1007/s00393-011-0869-4.

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6

Niemeyer, Christof M., and Dietmar Blohm. "DNA Microarrays." Angewandte Chemie International Edition 38, no. 19 (1999): 2865–69. http://dx.doi.org/10.1002/(sici)1521-3773(19991004)38:19<2865::aid-anie2865>3.0.co;2-f.

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7

Whipple, Mark Eliot, and Winston Patrick Kuo. "DNA Microarrays in Otolaryngology-Head and Neck Surgery." Otolaryngology–Head and Neck Surgery 127, no. 3 (2002): 196–204. http://dx.doi.org/10.1067/mhn.2002.127383.

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OBJECTIVES: Our goal was to review the technologies underlying DNA microarrays and to explore their use in otolaryngology-head and neck surgery. STUDY DESIGN: The current literature relating to microarray technology and methodology is reviewed, specifically the use of DNA microarrays to characterize gene expression. Bioinformatics involves computational and statistical methods to extract, organize, and analyze the huge amounts of data produced by microarray experiments. The means by which these techniques are being applied to otolaryngology-head and neck surgery are outlined. RESULTS: Microarr

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8

Fesseha, Haben, and Hiwot Tilahun. "Principles and Applications of Deoxyribonucleic Acid Microarray: A Review." Pathology and Laboratory Medicine – Open Journal 3, no. 1 (2021): 1–9. http://dx.doi.org/10.17140/plmoj-3-109.

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Deoxyribonucleic acid (DNA) microarrays are collections of DNA probes arranged on a base pair and the latest commercialized molecular diagnostic technologies that offer high throughput results, more sensitive and require less time. It is the most reliable and widely accepted tool facilitating the simultaneous identification of thousands of genetic elements even a single gene. Microarrays are powerful new tools for the investigation of global changes in gene expression profiles in cells and tissues. The different types of DNA microarray or DNA chip devices and systems are described along with t

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9

Paredes, Carlos J., Ryan S. Senger, Iwona S. Spath, Jacob R. Borden, Ryan Sillers, and Eleftherios T. Papoutsakis. "A General Framework for Designing and Validating Oligomer-Based DNA Microarrays and Its Application to Clostridium acetobutylicum." Applied and Environmental Microbiology 73, no. 14 (2007): 4631–38. http://dx.doi.org/10.1128/aem.00144-07.

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ABSTRACT While DNA microarray analysis is widely accepted as an essential tool for modern biology, its use still eludes many researchers for several reasons, especially when microarrays are not commercially available. In that case, the design, construction, and use of microarrays for a sequenced organism constitute substantial, time-consuming, and expensive tasks. Recently, it has become possible to construct custom microarrays using industrial manufacturing processes, which offer several advantages, including speed of manufacturing, quality control, no up-front setup costs, and need-based mic

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10

Peiffer, Daniel, Ken Cho, and Yongchol Shin. "Xenopus DNA Microarrays." Current Genomics 4, no. 8 (2003): 665–72. http://dx.doi.org/10.2174/1389202033490097.

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11

Schofield, W. C. E., J. McGettrick, T. J. Bradley, J. P. S. Badyal, and S. Przyborski. "Rewritable DNA Microarrays." Journal of the American Chemical Society 128, no. 7 (2006): 2280–85. http://dx.doi.org/10.1021/ja056367r.

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12

HENRY, CELIA M. "STANDARDIZING DNA MICROARRAYS." Chemical & Engineering News 82, no. 31 (2004): 36–39. http://dx.doi.org/10.1021/cen-v082n031.p036.

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13

Jack, Philippa, and David Boyle. "DNA microarrays for pathogen detection and characterisation." Microbiology Australia 27, no. 2 (2006): 68. http://dx.doi.org/10.1071/ma06068.

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DNA microarrays have three main potential diagnostic uses in clinical microbiology: detection of known pathogens, pathogen typing and novel pathogen discovery. Although DNA microarray platforms offer the ability to screen for a large number of agents in parallel, sensitivity is dependent on the ability to obtain adequate amounts of pathogen nucleic acids from collected samples. In general, high levels of sensitivity require a PCR amplification step using specific primer sets, subsequently reducing the overall scope of the microarray assay. At present, relatively high costs, restricted sample t

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14

Chagovetz, Alexander, and Steve Blair. "Real-time DNA microarrays: reality check." Biochemical Society Transactions 37, no. 2 (2009): 471–75. http://dx.doi.org/10.1042/bst0370471.

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DNA microarrays are plagued with inconsistent quantifications and false-positive results. Using established mechanisms of surface reactions, we argue that these problems are inherent to the current technology. In particular, the problem of multiplex non-equilibrium reactions cannot be resolved within the framework of the existing paradigm. We discuss the advantages and limitations of changing the paradigm to real-time data acquisition similar to real-time PCR methodology. Our analysis suggests that the fundamental problem of multiplex reactions is not resolved by the real-time approach itself.

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15

Chiodi, Elisa, Allison M. Marn, Matthew T. Geib, and M. Selim Ünlü. "The Role of Surface Chemistry in the Efficacy of Protein and DNA Microarrays for Label-Free Detection: An Overview." Polymers 13, no. 7 (2021): 1026. http://dx.doi.org/10.3390/polym13071026.

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The importance of microarrays in diagnostics and medicine has drastically increased in the last few years. Nevertheless, the efficiency of a microarray-based assay intrinsically depends on the density and functionality of the biorecognition elements immobilized onto each sensor spot. Recently, researchers have put effort into developing new functionalization strategies and technologies which provide efficient immobilization and stability of any sort of molecule. Here, we present an overview of the most widely used methods of surface functionalization of microarray substrates, as well as the mo

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16

Kostrzynska, M., and A. Bachand. "Application of DNA microarray technology for detection, identification, and characterization of food-borne pathogens." Canadian Journal of Microbiology 52, no. 1 (2006): 1–8. http://dx.doi.org/10.1139/w05-105.

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DNA microarrays represent the latest advance in molecular technology. In combination with bioinformatics, they provide unparalleled opportunities for simultaneous detection of thousands of genes or target DNA sequences and offer tremendous potential for studying food-borne microorganisms. This review provides an up-to-date look at the application of DNA microarray technology to detect food-borne pathogenic bacteria, viruses, and parasites. In addition, it covers the advantages of using microarray technology to further characterize microorganisms by providing information for specific identifica

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17

Call, Douglas R., Marlene K. Bakko, Melissa J. Krug, and Marilyn C. Roberts. "Identifying Antimicrobial Resistance Genes with DNA Microarrays." Antimicrobial Agents and Chemotherapy 47, no. 10 (2003): 3290–95. http://dx.doi.org/10.1128/aac.47.10.3290-3295.2003.

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ABSTRACT We developed and tested a glass-based microarray suitable for detecting multiple tetracycline (tet) resistance genes. Microarray probes for 17 tet genes, the β-lactamase bla TEM-1 gene, and a 16S ribosomal DNA gene (Escherichia coli) were generated from known controls by PCR. The resulting products (ca. 550 bp) were applied as spots onto epoxy-silane-derivatized, Teflon-masked slides by using a robotic spotter. DNA was extracted from test strains, biotinylated, hybridized overnight to individual microarrays at 65°C, and detected with Tyramide Signal Amplification, Alexa Fluor 546, and

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18

Stoevesandt, O., M. He, and M. J. Taussig. "Repeatable printing of protein microarrays from DNA microarrays." New Biotechnology 25 (September 2009): S360. http://dx.doi.org/10.1016/j.nbt.2009.06.961.

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19

Trost, Brett, Catherine A. Moir, Zoe E. Gillespie, Anthony Kusalik, Jennifer A. Mitchell, and Christopher H. Eskiw. "Concordance between RNA-sequencing data and DNA microarray data in transcriptome analysis of proliferative and quiescent fibroblasts." Royal Society Open Science 2, no. 9 (2015): 150402. http://dx.doi.org/10.1098/rsos.150402.

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DNA microarrays and RNA sequencing (RNA-seq) are major technologies for performing high-throughput analysis of transcript abundance. Recently, concerns have been raised regarding the concordance of data derived from the two techniques. Using cDNA libraries derived from normal human foreskin fibroblasts, we measured changes in transcript abundance as cells transitioned from proliferative growth to quiescence using both DNA microarrays and RNA-seq. The internal reproducibility of the RNA-seq data was greater than that of the microarray data. Correlations between the RNA-seq data and the individu

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20

Herrera, Henry J., and Marlon Gancino. "DNA microarrays: Recent Advances." Bionatura 2, no. 3 (2017): 404–6. http://dx.doi.org/10.21931/rb/2017.02.03.13.

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21

Dai, Wei, Mona A. Sheikh, Olgica Milenkovic, and Richard G. Baraniuk. "Compressive Sensing DNA Microarrays." EURASIP Journal on Bioinformatics and Systems Biology 2009 (2009): 1–12. http://dx.doi.org/10.1155/2009/162824.

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22

Meloni, R. "DNA microarrays and pharmacogenomics." Pharmacological Research 49, no. 4 (2004): 303–8. http://dx.doi.org/10.1016/j.phrs.2003.06.001.

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23

Sassolas, Audrey, Béatrice D. Leca-Bouvier, and Loïc J. Blum. "DNA Biosensors and Microarrays." Chemical Reviews 108, no. 1 (2008): 109–39. http://dx.doi.org/10.1021/cr0684467.

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24

Rathod, Pradipsinh K., Karthikeyan Ganesan, Rhian E. Hayward, Zbynek Bozdech, and Joseph L. DeRisi. "DNA microarrays for malaria." Trends in Parasitology 18, no. 1 (2002): 39–45. http://dx.doi.org/10.1016/s1471-4922(01)02153-5.

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25

Marcotte, Eric R., Lalit K. Srivastava, and Rémi Quirion. "DNA microarrays in neuropsychopharmacology." Trends in Pharmacological Sciences 22, no. 8 (2001): 426–36. http://dx.doi.org/10.1016/s0165-6147(00)01741-7.

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26

Smith, L. "DNA microarrays and development." Human Molecular Genetics 12, no. 90001 (2003): 1R—8. http://dx.doi.org/10.1093/hmg/ddg053.

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27

Butler, Anderson A., Jason J. Kras, Karolina P. Chwalek, et al. "Measuring technical variability in illumina DNA methylation microarrays." PLOS One 20, no. 7 (2025): e0326337. https://doi.org/10.1371/journal.pone.0326337.

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DNA methylation microarrays have become a widely used tool for investigating epigenetic modifications in various aspects of biomedical research. However, technical variability in methylation data poses challenges for downstream applications such as predictive modeling of health and disease. In this study, we measure the impact of common sources of technical variability in Illumina DNA methylation microarray data, with a specific focus on positional biases inherent within the microarray technology. By utilizing a dataset comprised of multiple, highly similar technical replicates, we identified

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28

Lacroix, M., N. Zammatteo, J. Remacle, and G. Leclercq. "A Low-Density DNA Microarray for Analysis of Markers in Breast Cancer." International Journal of Biological Markers 17, no. 1 (2002): 5–23. http://dx.doi.org/10.1177/172460080201700102.

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Breast cancer remains a major cause of death in women from Western countries. In the near future, advances in both nucleic acids technology and tumor biology should be widely exploited to improve the diagnosis, prognosis, and outcome prediction of this disease. The DNA microarray, also called biochip, is a promising tool for performing massive, simultaneous, fast, and standardized analyses of multiple molecular markers in tumor samples. However, most currently available microarrays are expensive, which is mainly due to the amount (several thousands) of different DNA capture sequences that they

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29

I. A., Zaloilo. "APPLYING OF DNA- MICROARRAYS IN A MODERN FISH-FARMING." Biotechnologia Acta 8, no. 4 (2015): 9–20. http://dx.doi.org/10.15407/biotech8.04.009.

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30

Widłak, Piotr. "DNA microarrays, a novel approach in studies of chromatin structure." Acta Biochimica Polonica 51, no. 1 (2004): 1–8. http://dx.doi.org/10.18388/abp.2004_3592.

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The DNA microarray technology delivers an experimental tool that allows surveying expression of genetic information on a genome-wide scale at the level of single genes--for the new field termed functional genomics. Gene expression profiling--the primary application of DNA microarrays technology--generates monumental amounts of information concerning the functioning of genes, cells and organisms. However, the expression of genetic information is regulated by a number of factors that cannot be directly targeted by standard gene expression profiling. The genetic material of eukaryotic cells is pa

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31

Yu, Xiaobo, Nicole Schneiderhan-Marra, and Thomas O. Joos. "Protein Microarrays for Personalized Medicine." Clinical Chemistry 56, no. 3 (2010): 376–87. http://dx.doi.org/10.1373/clinchem.2009.137158.

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Abstract Background: Over the last 10 years, DNA microarrays have achieved a robust analytical performance, enabling their use for analyzing the whole transcriptome or for screening thousands of single-nucleotide polymorphisms in a single experiment. DNA microarrays allow scientists to correlate gene expression signatures with disease progression, to screen for disease-specific mutations, and to treat patients according to their individual genetic profiles; however, the real key is proteins and their manifold functions. It is necessary to achieve a greater understanding of not only protein fun

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32

ZHANG, YONG. "INTEGRATION OF NANOPARTICLES WITH PROTEIN MICROARRAYS." International Journal of Nanoscience 05, no. 02n03 (2006): 189–94. http://dx.doi.org/10.1142/s0219581x0600422x.

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A variety of DNA, protein or cell microarray devices and systems have been developed and commercialized. In addition to the biomolecule related analysis, they are also being used for pharmacogenomic research, infectious and genetic disease and cancer diagnostics, and proteomic and cellular analysis.1 Currently, microarray is fabricated on a planar surface; this limits the amount of biomolecules that can be bounded on the surface. In this work, a planar protein microarray chip with nonplanar spot surface was fabricated to enhance the chip performance. A nonplanar spot surface was created by fir

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33

&NA;. "DNA microarrays in clinical practice." Inpharma Weekly &NA;, no. 1306 (2001): 3. http://dx.doi.org/10.2165/00128413-200113060-00004.

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34

Akin, H. E., D. A. O. Karabay, J. R. Kyle, A. P. Mills, C. S. Ozkan, and M. Ozkan. "Electronic Microarrays in DNA Computing." Journal of Nanoscience and Nanotechnology 11, no. 3 (2011): 1859–65. http://dx.doi.org/10.1166/jnn.2011.3422.

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35

Akin, H. E., D. A. O. Karabay, J. R. Kyle, A. P. Mills, Jr., C. Ozkan, and M. Ozkan. "Electronic Microarrays in DNA Computing." Journal of Nanoscience and Nanotechnology 11, no. 6 (2011): 4717–23. http://dx.doi.org/10.1166/jnn.2011.38844717.

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36

Booth, David E. "Cancer Diagnostics With DNA Microarrays." Technometrics 49, no. 4 (2007): 492–93. http://dx.doi.org/10.1198/tech.2007.s686.

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37

Chow, B. Y., C. J. Emig, and J. M. Jacobson. "Photoelectrochemical synthesis of DNA microarrays." Proceedings of the National Academy of Sciences 106, no. 36 (2009): 15219–24. http://dx.doi.org/10.1073/pnas.0813011106.

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38

Russell, S. "DNA Microarrays: Gene Expression Applications." Heredity 89, no. 5 (2002): 402. http://dx.doi.org/10.1038/sj.hdy.6800150.

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39

BURLEIGH, B. A. "ProbingTrypanosoma cruzibiology with DNA microarrays." Parasitology 128, S1 (2004): S3—S10. http://dx.doi.org/10.1017/s0031182004006559.

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The application of genome-scale approaches to studyTrypanosoma cruzi–host interactions at different stages of the infective process is becoming possible with sequencing and assembly of theT. cruzigenome nearing completion and sequence information available for both human and mouse genomes. Investigators have recently begun to exploit DNA microarray technology to analyze host transcriptional responses toT. cruziinfection and dissect developmental processes in the complexT. cruzilife-cycle. Collectively, information generated from these and future studies will provide valuable insights into the

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40

Hughes, Timothy R., and Daniel D. Shoemaker. "DNA microarrays for expression profiling." Current Opinion in Chemical Biology 5, no. 1 (2001): 21–25. http://dx.doi.org/10.1016/s1367-5931(00)00163-0.

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41

van Berkum, Nynke L., and Frank CP Holstege. "DNA microarrays: raising the profile." Current Opinion in Biotechnology 12, no. 1 (2001): 48–52. http://dx.doi.org/10.1016/s0958-1669(00)00173-7.

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42

Conzone, Samuel D., and Carlo G. Pantano. "Glass slides to DNA microarrays." Materials Today 7, no. 3 (2004): 20–26. http://dx.doi.org/10.1016/s1369-7021(04)00122-1.

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43

Wooster, Richard. "Cancer classification with DNA microarrays." Trends in Genetics 16, no. 8 (2000): 327–29. http://dx.doi.org/10.1016/s0168-9525(00)02064-3.

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44

Shoemaker, Daniel D., and Peter S. Linsley. "Recent developments in DNA microarrays." Current Opinion in Microbiology 5, no. 3 (2002): 334–37. http://dx.doi.org/10.1016/s1369-5274(02)00327-2.

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45

Reymond, Philippe. "DNA microarrays and plant defence." Plant Physiology and Biochemistry 39, no. 3-4 (2001): 313–21. http://dx.doi.org/10.1016/s0981-9428(00)01235-3.

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46

Henry, Celia M. "Focus: DNA microarrays in toxicology." Analytical Chemistry 71, no. 13 (1999): 462A—464A. http://dx.doi.org/10.1021/ac990494m.

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Yasokawa, Daisuke, and Hitoshi Iwahashi. "Toxicogenomics using yeast DNA microarrays." Journal of Bioscience and Bioengineering 110, no. 5 (2010): 511–22. http://dx.doi.org/10.1016/j.jbiosc.2010.06.003.

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48

P, Deepthi, and C. H. Renumadhavi. "DNA Microarrays and Smart Pooling." IOSR Journal of Pharmacy and Biological Sciences 9, no. 1 (2014): 61–64. http://dx.doi.org/10.9790/3008-09136164.

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Kim, C., M. Li, A. Lowe, et al. "DNA microarrays: An imaging study." Journal of Vacuum Science & Technology B: Microelectronics and Nanometer Structures 21, no. 6 (2003): 2946. http://dx.doi.org/10.1116/1.1627802.

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Ramaswamy, Sridhar, and Todd R. Golub. "DNA Microarrays in Clinical Oncology." Journal of Clinical Oncology 20, no. 7 (2002): 1932–41. http://dx.doi.org/10.1200/jco.2002.20.7.1932.

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ABSTRACT: Aberrant gene expression is critical for tumor initiation and progression. However, we lack a comprehensive understanding of all genes that are aberrantly expressed in human cancer. Recently, DNA microarrays have been used to obtain global views of human cancer gene expression and to identify genetic markers that might be important for diagnosis and therapy. We review clinical applications of these novel tools, discuss some important recent studies, identify promising avenues of research in this emerging field of study, and discuss the likely impact that expression profiling will hav

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