Thematische Bibliographien / DNA microarrays

Inhaltsverzeichnis

  1. Zeitschriftenartikel
  2. Dissertationen
  3. Bücher
  4. Buchteile
  5. Konferenzberichte
  6. Berichte der Organisationen

Auswahl der wissenschaftlichen Literatur zum Thema „DNA microarrays“

Autor: Grafiati
Veröffentlicht am 4. Juni 2021
Zuletzt aktualisiert am 25. Juli 2025

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Zeitschriftenartikel zum Thema "DNA microarrays"

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

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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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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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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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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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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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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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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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Dissertationen zum Thema "DNA microarrays"

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Stephens, Nathan W. "A comparison of genetic microarray analyses : a mixed models approach versus the significance analysis of microarrays /." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1604.pdf.

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Brunner, Thomas. "Designing oligonucleotides for DNA microarrays /." Zürich : ETH, Eidgenössische Technische Hochschule Zürich, Department of Computer Science, 2003. http://e-collection.ethbib.ethz.ch/show?type=dipl&nr=116.

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Smith, Kaleigh. "Towards quality control in DNA microarrays." Thesis, McGill University, 2003. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=79129.

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We present a framework for detecting degenerate probes in a DNA microarray that may add to measurement error in hybridization experiments. We consider four types of behaviour: secondary structure formation, self-dimerization, cross-hybridization and dimerization. The framework uses a well-established model of nucleic acid sequence hybridization and a novel method for the detection of patterns in hybridization experiment data. Our primary result is the identification of unique patterns in hybridization experiment data that are correlated with each type of degenerate probe behaviour. The
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Arrais, Joel Perdiz. "Sistemas de informação para DNA microarrays." Doctoral thesis, Universidade de Aveiro, 2010. http://hdl.handle.net/10773/2232.

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Doutoramento em Engenharia Informática<br>O projecto de sequenciação do genoma humano veio abrir caminho para o surgimento de novas áreas transdisciplinares de investigação, como a biologia computacional, a bioinformática e a bioestatística. Um dos resultados emergentes desde advento foi a tecnologia de DNA microarrays, que permite o estudo do perfil da expressão de milhares de genes, quando sujeitos a perturbações externas. Apesar de ser uma tecnologia relativamente consolidada, continua a apresentar um conjunto vasto de desafios, nomeadamente do ponto de vista computacional e dos sistemas de
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Harness, Denise. "A Comparison of Unsupervised Methods for DNA Microarray Leukemia Data." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/asrf/2018/schedule/106.

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Advancements in DNA microarray data sequencing have created the need for sophisticated machine learning algorithms and feature selection methods. Probabilistic graphical models, in particular, have been used to identify whether microarrays or genes cluster together in groups of individuals having a similar diagnosis. These clusters of genes are informative, but can be misleading when every gene is used in the calculation. First feature reduction techniques are explored, however the size and nature of the data prevents traditional techniques from working efficiently. Our method is to use the pa
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Chow, Brian 1978. "Photoelectromechanical synthesis of low-cost DNA microarrays." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/42405.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2008.<br>Includes bibliographical references.<br>Recent advances in de novo gene synthesis, library construction, and genomic selection for target sequencing using DNA from custom microarrays have demonstrated that microarrays can effectively be used as the world's cheapest sources of complex oligonucleotide pools. Unfortunately, commercial custom microarrays are expensive and not easily accessible to academic researchers, and technical challenges still exist for dea
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Horschinek, Andreas. "DNA-Microarrays zur therapiebegleitenden Prognose bei Brustkrebs." [S.l. : s.n.], 2006. http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-27654.

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Xue, Mei. "Array based integrated DNA identification system for genetic chip application /." View Abstract or Full-Text, 2002. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202002%20XUE.

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Peeters, Justine Kate. "Microarray bioinformatics and applications in oncology." [S.l.] : Rotterdam : [The Author] ; Erasmus University [Host], 2008. http://hdl.handle.net/1765/12618.

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Karanam, Suresh Kumar. "Automation of comparative genomic promoter analysis of DNA microarray datasets." Thesis, Available online, Georgia Institute of Technology, 2004:, 2003. http://etd.gatech.edu/theses/available/etd-04062004-164658/unrestricted/karanam%5Fsuresh%5Fk%5F200312%5Fms.pdf.

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Bücher zum Thema "DNA microarrays"

1

Ulrike, Nuber, ed. DNA microarrays. Chapman&Hall/CRC, 2005.

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R, Kimmel Alan, and Oliver B, eds. DNA microarrays. Elsevier/Academic Press, 2006.

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B, Rampal Jang, and Rampal Jang B, eds. Microarrays. 2nd ed. Humana, 2007.

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Campbell, Marissa J. DNA microarrays, synthesis, and synthetic DNA. Nova Science, 2011.

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Emanuele, De Rinaldis, and Lahm Armin, eds. DNA microarrays: Current applications. Horizon Bioscience, 2007.

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Muller, Hans-Joachim. Microarrays. Elsevier Academic Press, 2005.

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Dufva, Martin, ed. DNA Microarrays for Biomedical Research. Humana Press, 2009. http://dx.doi.org/10.1007/978-1-59745-538-1.

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Knudsen, Steen. Cancer Diagnostics with DNA Microarrays. John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0470041102.

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Jordan, B. R., ed. DNA Microarrays: Gene Expression Applications. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56517-5.

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Knudsen, Steen. Cancer Diagnostics with DNA Microarrays. John Wiley & Sons, Ltd., 2006.

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Buchteile zum Thema "DNA microarrays"

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Dufva, Martin, and Claus B. V. Christensen. "Optimization of Oligonucleotide DNA Microarrays." In Microarrays. Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-303-5_4.

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Deisingh, Anil K., Adilah Guiseppi-Wilson, and Anthony Guiseppi-Elie. "Biochip Platforms for DNA Diagnostics." In Microarrays. Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-72719-6_14.

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Nguyen, Bao, and Samuel K. Kassegne. "DNA Microarrays." In Encyclopedia of Microfluidics and Nanofluidics. Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4614-5491-5_350.

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Nguyen, Bao, and Samuel K. Kassegne. "DNA Microarrays." In Encyclopedia of Microfluidics and Nanofluidics. Springer US, 2014. http://dx.doi.org/10.1007/978-3-642-27758-0_350-2.

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Bähler, Jürg, and Samuel Marguerat. "DNA Microarrays." In Encyclopedia of Systems Biology. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_743.

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Bier, Frank F., Markus von Nickisch-Rosenegk, Eva Ehrentreich-Förster, et al. "DNA Microarrays." In Biosensing for the 21st Century. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/10_2007_087.

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Nguyen, C., and X. Gidrol. "DNA Microarrays." In Nanoscience. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88633-4_17.

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Shi, Leming, Roger G. Perkins, and Weida Tong. "The Current Status of DNA Microarrays." In Microarrays. Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-72719-6_1.

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Pritchard, Clare, Peter Underhill, and Andy Greenfield. "Using DNA Microarrays." In METHODS IN MOLECULAR BIOLOGY™. Humana Press, 2008. http://dx.doi.org/10.1007/978-1-60327-483-8_41.

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Stoevesandt, Oda, Mingyue He, and Michael J. Taussig. "Protein Microarrays Printed from DNA Microarrays." In Methods in Molecular Biology. Humana Press, 2010. http://dx.doi.org/10.1007/978-1-59745-551-0_4.

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Konferenzberichte zum Thema "DNA microarrays"

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Sublette, Kerry, Richard Eckert, Dora Ogles, Brett Baldwin, and Katherine Clark. "Molecular Analysis of Aramid Polymer Film Impressions of Corrosion Coupon Biofilms." In CORROSION 2014. NACE International, 2014. https://doi.org/10.5006/c2014-4477.

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Abstract Microbiologically influenced corrosion (MIC) is a serious problem that impacts nearly all industries and exacts a severe toll in terms of operating costs, loss of production, deterioration of capital equipment and the consequences of corrosion related failures. While a proactive step, monitoring for MIC-associated microorganisms is often hindered by the fact that sampling methods may not capture key members of the microbial community involved in MIC (sampling biases) and current reliance on conventional culture-dependent methods may underestimate and oversimplify the problem (cultivat
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Martins, Diogo, Xi Wei, Rastislav Levicky, and Yong-Ak Song. "Accelerating the Mass Transport of DNA Biomolecules Onto DNA Microarray for Enhanced Detection by Electrokinetic Concentration in a Microfluidic Chip." In ASME 2016 5th International Conference on Micro/Nanoscale Heat and Mass Transfer. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/mnhmt2016-6562.

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Morpholinos (MOs) are synthetic nucleic acids analogues with a non-charged backbone of morpholine rings. To enhance the MO-DNA hybridization assay speed, we propose the integration of a MO microarray with an ion concentration polarization (ICP) based microfluidic concentrator. The ICP concentrator collects target biomolecules from a ∼μL fluidic DNA sample and concentrates them electrokinetically into a ∼nL plug located in the vicinity of the MO probes. ICP preconcentration not only reduces the analyte diffusion length but also increases the binding reaction rate, and as a result, ICP-enhanced
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ESCANDE, DENIS G. "DNA MICROARRAYS AND ARRHYTHMIAS." In Proceedings of the 31st International Congress on Electrocardiology. WORLD SCIENTIFIC, 2005. http://dx.doi.org/10.1142/9789812702234_0079.

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Carlon, Enrico. "Thermodynamics of DNA microarrays." In Stochastic Models in Biological Sciences. Institute of Mathematics Polish Academy of Sciences, 2008. http://dx.doi.org/10.4064/bc80-0-13.

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Sheikh, Mona A., Olgica Milenkovic, and Richard G. Baraniuk. "Designing Compressive Sensing DNA Microarrays." In 2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing. IEEE, 2007. http://dx.doi.org/10.1109/camsap.2007.4497985.

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Turkay, Cagatay, Julius Parulek, and Helwig Hauser. "Dual analysis of DNA microarrays." In the 12th International Conference. ACM Press, 2012. http://dx.doi.org/10.1145/2362456.2362489.

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Jacak, Jaroslaw, Jan Hesse, Clemens Hesch, et al. "Ultrasensitive DNA detection on microarrays." In Biomedical Optics 2005, edited by Dan V. Nicolau, Joerg Enderlein, Robert C. Leif, Daniel L. Farkas, and Ramesh Raghavachari. SPIE, 2005. http://dx.doi.org/10.1117/12.590476.

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Hong, Bong Jin, and Joon Won Park. "DNA microarrays on a mesospaced surface." In Optics East, edited by M. Saif Islam and Achyut K. Dutta. SPIE, 2004. http://dx.doi.org/10.1117/12.569677.

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Dai, Wei, Olgica Milenkovic, Mona A. Sheikh, and Richard G. Baraniuk. "Probe Design for Compressive Sensing DNA Microarrays." In 2008 IEEE International Conference on Bioinformatics and Biomedicine. IEEE, 2008. http://dx.doi.org/10.1109/bibm.2008.56.

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Parikh, Samir, Glenn Gulak, and Paul Chow. "A CMOS Image Sensor for DNA Microarrays." In 2007 IEEE 29th Custom Integrated Circuits Conference. IEEE, 2007. http://dx.doi.org/10.1109/cicc.2007.4405854.

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Berichte der Organisationen zum Thema "DNA microarrays"

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Beer, N., B. Baker, T. Piggott, et al. Hybridization and Selective Release of DNA Microarrays. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1033734.

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Martin, Jennifer A., Yaroslav Chushak, Jorge C. Benavides, Joshua Hagen, and Nancy Kelley-Loughnane. DNA Microarrays for Aptamer Identification and Structural Characterization. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada597207.

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Gregory Stephanopoulos. Development of DNA Microarrays for Metabolic Pathway and Bioprocess Monitoring. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/837870.

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Ellner, J. J., N. D. Connell, G. Gallagher, and E. Raveche. Use of DNA Microarrays to Identify Diagnostic Signature Transcriptional Profiles for Host Responses to Infectious Agents. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada449913.

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Ellner, Jerrold J. Use of DNA Microarrays to Identify Diagnostic Signature Transcription Profiles for Host Responses to Infectious Agents. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada434780.

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Ellner, Jerrold J. Use of DNA Microarrays to Identify Diagnostic Signature Transcriptional Profiles for Host Responses to Infectious Agents. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada419551.

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ชีพสุนทร, พูลลาภ, та ชาลิสา หลุยเจริญ ชีพสุนทร. ผลของการลดระดับการแสดงออกของยีน G6PD ต่อพยาธิกำเนิดในระดับโมเลกุลของเซลล์มะเร็งปอด : รายงานการวิจัย. คณะแพทยศาสตร์ จุฬาลงกรณ์มหาวิทยาลัย, 2018. https://doi.org/10.58837/chula.res.2018.42.

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ลักษณะสำคัญอย่างหนึ่งของเซลล์มะเร็ง คือ การเปลี่ยนแปลงรูปแบบการใช้พลังงานและเมตาบอลิซึม ซึ่งวิถีเพนโตสฟอสเฟตเป็นวิถีที่ช่วยส่งเสริมการเจริญเติบโตของเซลล์ โดยมีเอนไซม์กลูโคส 6 ฟอสเฟตดีไฮโดรจีเนส (G6PD) เป็นกุญแจสำคัญในปฏิกิริยา จากการศึกษาก่อนหน้าพบว่า G6PD มีการแสดงออกมากขึ้นในเซลล์มะเร็งหลายชนิด เช่น เซลล์มะเร็งตับ อีกทั้งจากการทดสอบระดับการแสดงออกของยีนเทียบกับเซลล์ปกติโดยใช้โปรแกรม CU-DREAM (Connection Up- and Down-Regulation Expression Analysis of Microarrays) พบว่า G6PD มีการแสดงออกเพิ่มมากขึ้นในเซลล์มะเร็งตับ และปอด โดยมะเร็งปอดสามารถพบได้เป็นอันดับ 2 ของผู้ป่วยมะเร็ง อีกทั้งอัตราการรอดช
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WERNER-WASHBURNE, MARGARET, and GEORGE S. DAVIDSON. DNA Microarray Technology. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/791894.

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Fromm, A., Avihai Danon, and Jian-Kang Zhu. Genes Controlling Calcium-Enhanced Tolerance to Salinity in Plants. United States Department of Agriculture, 2003. http://dx.doi.org/10.32747/2003.7585201.bard.

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The specific objectives of the proposed research were to identify, clone and characterize downstream cellular target(s) of SOS3 in Arabidopsis thaliana, to analyze the Ca2+-binding characteristics of SOS3 and the sos3-1 mutant and their interactions with SOS3 cellular targets to analyze the SOS3 cell-specific expression patterns, and its subcellular localization, and to assess the in vivo role of SOS3 target protein(s) in plant tolerance to salinity stress. In the course of the study, in view of recent opportunities in identifying Ca2+ - responsive genes using microarrays, the group at Weizman
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Wu, Chi-Fang, James J. Valdes, Jennifer W. Sekowski, and William E. Bentley. Identification of Multiple Pathogenic Bacteria Using a DNA Microarray. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada408810.

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