Absolute mRNA concentrations from sequence-specific calibration of oligonucleotide arrays
- 1 April 2003
- journal article
- Published by Oxford University Press (OUP) in Nucleic Acids Research
- Vol. 31 (7) , 1962-1968
- https://doi.org/10.1093/nar/gkg283
Abstract
Oligonucleotide microarrays are based on the hybridization of labeled mRNA molecules to short length oligonucleotide probes on a glass surface. Two effects have been shown to affect the raw data: the sequence dependence of the probe hybridization properties and the chemical saturation resulting from surface adsorption processes. We address both issues simultaneously using a physically motivated hybridization model. Based on publicly available calibration data sets, we show that Langmuir adsorption accurately describes GeneChip hybridization, with model parameters that we predict from the sequence composition of the probes. Because these parameters have physical units, we are able to estimate absolute mRNA concentrations in picomolar. Additionally, by accounting for chemical saturation, we substantially reduce the compressive bias of differential expression estimates that normally occurs toward high concentrations.Keywords
This publication has 8 references indexed in Scilit:
- A study of accuracy and precision in oligonucleotide arrays: extracting more signal at large concentrationsBioinformatics, 2003
- Use of hybridization kinetics for differentiating specific from non-specific binding to oligonucleotide microarraysNucleic Acids Research, 2002
- Normalization and analysis of DNA microarray data by self-consistency and local regressionGenome Biology, 2002
- DNA hybridization to mismatched templates: A chip studyPhysical Review E, 2002
- Assessment of the relationship between signal intensities and transcript concentration for Affymetrix GeneChip®arraysGenome Biology, 2001
- Minimum information about a microarray experiment (MIAME)—toward standards for microarray dataNature Genetics, 2001
- Model-based analysis of oligonucleotide arrays: Expression index computation and outlier detectionProceedings of the National Academy of Sciences, 2000
- Accessing Genetic Information with High-Density DNA ArraysScience, 1996