ArticleBioData mining2010
Large scale analysis of positional effects of single-base mismatches on microarray gene expression data.
Article in BioData mining, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
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- Single nucleotide polymorphism-based visual identification ofFrontiers in plant science · 2024Article
- Notch signaling drives intestinal graft-versus-host disease in mice and nonhuman primates.Science translational medicine · 2023Article
- Identification of Rhythmically Expressed LncRNAs in the Zebrafish Pineal Gland and Testis.International journal of molecular sciences · 2021Article
- One-step colorimetric genotyping of single nucleotide polymorphism using probe-enhanced loop-mediated isothermal amplification (PE-LAMP).Theranostics · 2019Article
- Sequence characteristics define trade-offs between on-target and genome-wide off-target hybridization of oligoprobes.PloS one · 2018Article
- Combined OX40L and mTOR blockade controls effector T cell activation while preserving TScience translational medicine · 2017Article
- Transcriptome analysis of GVHD reveals aurora kinase A as a targetable pathway for disease prevention.Science translational medicine · 2015Article
- Predicting the functions of long noncoding RNAs using RNA-seq based on Bayesian network.BioMed research international · 2015Article
- Introduction to sequencing the brain transcriptome.International review of neurobiology · 2014Review
- Selective nucleic acid capture with shielded covalent probes.Journal of the American Chemical Society · 2013Article
- Genes, behavior and next-generation RNA sequencing.Genes, brain, and behavior · 2013Review
- Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAffymetrix GeneChips utilize 25-mer oligonucleotides probes linked to a silica surface to detect targets in solution. Mismatches due to single nucleotide polymorphisms (SNPs) can affect the hybridization between probes and targets. Previous research has indicated that binding between probes and targets strongly depends on the positions of these mismatches. However, there has been substantial variability in the effect of mismatch type across studies.
methodsBy taking advantage of naturally occurring mismatches between rhesus macaque transcripts and human probes from the Affymetrix U133 Plus 2 GeneChip, we collected the largest 25-mer probes dataset with single-base mismatches at each of the 25 positions on the probe ever used in this type of analysis.
resultsA mismatch at the center of a probe led to a greater loss in signal intensity than a mismatch at the ends of the probe, regardless of the mismatch type. There was a slight asymmetry between the ends of a probe: effects of mismatches at the 3' end of a probe were greater than those at the 5' end. A cross study comparison of the effect of mismatch types revealed that results were not in good agreement among different reports. However, if the mismatch types were consolidated to purine or pyrimidine mismatches, cross study conclusions could be generated.
conclusionThe comprehensive assessment of the effects of single-base mismatches on microarrays provided in this report can be useful for improving future versions of microarray platform design and the corresponding data analysis algorithms.
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