Literature DB >> 16938547

Microarray oligonucleotide probes.

David P Kreil1, Roslin R Russell, Steven Russell.   

Abstract

Oligonucleotide probes are increasingly the method of choice for many modern DNA microarray applications. They provide higher target specificity, probe selection gives improved experimental control of hybridization properties, and targeting of specific gene subsequences allows better discrimination of highly similar targets such as splice variants or gene families. Only recently has there been substantial progress in dealing with the complexities of probe set design and probe-specific signal interpretation. After a discussion of advantages and disadvantages of oligonucleotide probes in comparison to amplicons, this chapter focuses on recent advances and remaining key challenges in probe design and computational data analysis for spotted and in situ-synthesized oligonucleotide microarray technologies. Both experimental questions and computational aspects are addressed. Experimental issues discussed include the choice of an optimal number of probes per target and probe lengths and their influence on bias and random measurement noise, effects of different probe or substrate modifications, and laboratory protocols on signal specificity and sensitivity. Computational topics include practical considerations and a case study in probe sequence design, the exploitation of probing multiple target regions, and the modeling of probe sequence-specific signals. The current state of the art of the field is examined, and principled thermodynamic probe design criteria are proposed that are based on the free energy of the probe-target complex at the hybridization temperature rather than its melting temperature. Finally, this chapter notes and discusses an emerging trend in recent computational work toward a focus on signal interpretation rather than probe sequence design.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16938547     DOI: 10.1016/S0076-6879(06)10004-X

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  20 in total

Review 1.  Expression profiling of microRNA using oligo DNA arrays.

Authors:  Chang-Gong Liu; Riccardo Spizzo; George Adrian Calin; Carlo Maria Croce
Journal:  Methods       Date:  2008-01       Impact factor: 3.608

Review 2.  Basic concepts of microarrays and potential applications in clinical microbiology.

Authors:  Melissa B Miller; Yi-Wei Tang
Journal:  Clin Microbiol Rev       Date:  2009-10       Impact factor: 26.132

3.  Targeted sequencing for gene discovery and quantification using RNA CaptureSeq.

Authors:  Tim R Mercer; Michael B Clark; Joanna Crawford; Marion E Brunck; Daniel J Gerhardt; Ryan J Taft; Lars K Nielsen; Marcel E Dinger; John S Mattick
Journal:  Nat Protoc       Date:  2014-04-03       Impact factor: 13.491

4.  Detection of bacterial 16S rRNA using a molecular beacon-based X sensor.

Authors:  Yulia V Gerasimova; Dmitry M Kolpashchikov
Journal:  Biosens Bioelectron       Date:  2012-09-05       Impact factor: 10.618

Review 5.  Profiling DNA methylomes from microarray to genome-scale sequencing.

Authors:  Yi-Wei Huang; Tim H-M Huang; Li-Shu Wang
Journal:  Technol Cancer Res Treat       Date:  2010-04

6.  DNA nanotechnology for nucleic acid analysis: multifunctional molecular DNA machine for RNA detection.

Authors:  A J Cox; H N Bengtson; K H Rohde; D M Kolpashchikov
Journal:  Chem Commun (Camb)       Date:  2016-12-06       Impact factor: 6.222

7.  Application of equilibrium models of solution hybridization to microarray design and analysis.

Authors:  Raad Z Gharaibeh; Joshua M Newton; Jennifer W Weller; Cynthia J Gibas
Journal:  PLoS One       Date:  2010-06-10       Impact factor: 3.240

8.  Development of a DNA microarray to detect antimicrobial resistance genes identified in the National Center for Biotechnology Information database.

Authors:  Jonathan G Frye; Rebecca L Lindsey; Gaelle Rondeau; Steffen Porwollik; Fred Long; Michael McClelland; Charlene R Jackson; Mark D Englen; Richard J Meinersmann; Mark E Berrang; Johnnie A Davis; John B Barrett; Jennifer B Turpin; Sutawee N Thitaram; Paula J Fedorka-Cray
Journal:  Microb Drug Resist       Date:  2010-03       Impact factor: 3.431

9.  Model-based probe set optimization for high-performance microarrays.

Authors:  Germán Gastón Leparc; Thomas Tüchler; Gerald Striedner; Karl Bayer; Peter Sykacek; Ivo L Hofacker; David P Kreil
Journal:  Nucleic Acids Res       Date:  2008-12-22       Impact factor: 16.971

10.  Hybridization thermodynamics of NimbleGen microarrays.

Authors:  Ulrike Mueckstein; Germán G Leparc; Alexandra Posekany; Ivo Hofacker; David P Kreil
Journal:  BMC Bioinformatics       Date:  2010-01-19       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.