Literature DB >> 17537749

Short oligonucleotide probes containing G-stacks display abnormal binding affinity on Affymetrix microarrays.

Chunlei Wu1, Haitao Zhao, Keith Baggerly, Roberto Carta, Li Zhang.   

Abstract

MOTIVATION: In microarray experiments, probe design is critical to the specific and accurate measurement of target concentrations. Current designs select suitable probes through in silico scanning of transcriptome/genome based on first principles. However, due to lack of tools, the observed microarray data have not been used to assess the performance of individual probes to provide feedback to improve future designs. RESULT: In this study, we describe a probe performance assessment method based on the concordance of the observed signals from probes that share common targets. Using this method, we found that probes containing multiple guanines in a row (G-stacks) have abnormal binding behavior compared with other probes, both in gene expression assays and genotyping assays using Affymetrix microarrays. These probes are less likely to covary with other probes that interrogate the same genes. Moreover, we found that these probes are much more likely to produce outliers when fitting the observed signals according to the positional dependent nearest neighbor model, which gives reasonable estimates of binding affinity for most other probes. These results suggest that probes containing G-stacks tend to have increased cross hybridization signals and reduced target-specific hybridization signals, presumably due to multiplex binding forming G-quartet structures. Our findings are expected to be useful in microarray design and data analysis.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17537749     DOI: 10.1093/bioinformatics/btm271

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  12 in total

1.  Design of 240,000 orthogonal 25mer DNA barcode probes.

Authors:  Qikai Xu; Michael R Schlabach; Gregory J Hannon; Stephen J Elledge
Journal:  Proc Natl Acad Sci U S A       Date:  2009-01-26       Impact factor: 11.205

Review 2.  Detection call algorithms for high-throughput gene expression microarray data.

Authors:  Kellie J Archer; Sarah E Reese
Journal:  Brief Bioinform       Date:  2009-11-25       Impact factor: 11.622

3.  Optimization of signal-to-noise ratio for efficient microarray probe design.

Authors:  Olga V Matveeva; Yury D Nechipurenko; Evgeniy Riabenko; Chikako Ragan; Nafisa N Nazipova; Aleksey Y Ogurtsov; Svetlana A Shabalina
Journal:  Bioinformatics       Date:  2016-09-01       Impact factor: 6.937

4.  G-stack modulated probe intensities on expression arrays - sequence corrections and signal calibration.

Authors:  Mario Fasold; Peter F Stadler; Hans Binder
Journal:  BMC Bioinformatics       Date:  2010-04-27       Impact factor: 3.169

5.  High-throughput detection of mutations responsible for childhood hearing loss using resequencing microarrays.

Authors:  Prachi Kothiyal; Stephanie Cox; Jonathan Ebert; Ammar Husami; Margaret A Kenna; John H Greinwald; Bruce J Aronow; Heidi L Rehm
Journal:  BMC Biotechnol       Date:  2010-02-10       Impact factor: 2.563

6.  A model of binding on DNA microarrays: understanding the combined effect of probe synthesis failure, cross-hybridization, DNA fragmentation and other experimental details of affymetrix arrays.

Authors:  Yasminka A Jakubek; David J Cutler
Journal:  BMC Genomics       Date:  2012-12-27       Impact factor: 3.969

7.  A Comparative Study of the Impact of G-Stack Probes on Various Affymetrix GeneChips of Mammalia.

Authors:  Farhat Naureen Memon; Graham J G Upton; Andrew P Harrison
Journal:  J Nucleic Acids       Date:  2010-07-07

8.  Normalized Affymetrix expression data are biased by G-quadruplex formation.

Authors:  Hugh P Shanahan; Farhat N Memon; Graham J G Upton; Andrew P Harrison
Journal:  Nucleic Acids Res       Date:  2011-12-22       Impact factor: 16.971

9.  Mismatch and G-stack modulated probe signals on SNP microarrays.

Authors:  Hans Binder; Mario Fasold; Torsten Glomb
Journal:  PLoS One       Date:  2009-11-17       Impact factor: 3.240

10.  G-spots cause incorrect expression measurement in Affymetrix microarrays.

Authors:  Graham Jg Upton; William B Langdon; Andrew P Harrison
Journal:  BMC Genomics       Date:  2008-12-18       Impact factor: 3.969

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.