ArticleBMC bioinformatics2010
G-stack modulated probe intensities on expression arrays - sequence corrections and signal calibration.
Article in BMC bioinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Batch-effect detection, correction and characterisation in Illumina HumanMethylation450 and MethylationEPIC BeadChip array data.Clinical epigenetics · 2022Article
- Telomere Length Maintenance and Its Transcriptional Regulation in Lynch Syndrome and Sporadic Colorectal Carcinoma.Frontiers in oncology · 2019Article
- Sequence characteristics define trade-offs between on-target and genome-wide off-target hybridization of oligoprobes.PloS one · 2018Article
- Optimization of signal-to-noise ratio for efficient microarray probe design.Bioinformatics (Oxford, England) · 2016Article
- Variation of RNA Quality and Quantity Are Major Sources of Batch Effects in Microarray Expression Data.Microarrays (Basel, Switzerland) · 2014Article
- A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium.Nature biotechnology · 2014Article
- Sources of high variance between probe signals in Affymetrix short oligonucleotide microarrays.Sensors (Basel, Switzerland) · 2013Article
- How cyanobacteria pose new problems to old methods: challenges in microarray time series analysis.BMC bioinformatics · 2013Article
- Physico-chemical foundations underpinning microarray and next-generation sequencing experiments.Nucleic acids research · 2013Review
- Mining SOM expression portraits: feature selection and integrating concepts of molecular function.BioData mining · 2012Article
- Motif effects in Affymetrix GeneChips seriously affect probe intensities.Nucleic acids research · 2012Article
- Evaluation of alternative RNA labeling protocols for transcript profiling with Arabidopsis AGRONOMICS1 tiling arrays.Plant methods · 2012Article
- Article
- [Translational research in head and neck cancer. Biological characteristics and general aspects].HNO · 2011Review
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3 authors.
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Abstract
backgroundThe brightness of the probe spots on expression microarrays intends to measure the abundance of specific mRNA targets. Probes with runs of at least three guanines (G) in their sequence show abnormal high intensities which reflect rather probe effects than target concentrations. This G-bias requires correction prior to downstream expression analysis.
resultsLonger runs of three or more consecutive G along the probe sequence and in particular triple degenerated G at its solution end ((GGG)1-effect) are associated with exceptionally large probe intensities on GeneChip expression arrays. This intensity bias is related to non-specific hybridization and affects both perfect match and mismatch probes. The (GGG)1-effect tends to increase gradually for microarrays of later GeneChip generations. It was found for DNA/RNA as well as for DNA/DNA probe/target-hybridization chemistries. Amplification of sample RNA using T7-primers is associated with strong positive amplitudes of the G-bias whereas alternative amplification protocols using random primers give rise to much smaller and partly even negative amplitudes. We applied positional dependent sensitivity models to analyze the specifics of probe intensities in the context of all possible short sequence motifs of one to four adjacent nucleotides along the 25meric probe sequence. Most of the longer motifs are adequately described using a nearest-neighbor (NN) model. In contrast, runs of degenerated guanines require explicit consideration of next nearest neighbors (GGG terms). Preprocessing methods such as vsn, RMA, dChip, MAS5 and gcRMA only insufficiently remove the G-bias from data.
conclusionsPositional and motif dependent sensitivity models accounts for sequence effects of oligonucleotide probe intensities. We propose a positional dependent NN+GGG hybrid model to correct the intensity bias associated with probes containing poly-G motifs. It is implemented as a single-chip based calibration algorithm for GeneChips which can be applied in a pre-correction step prior to standard preprocessing.
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