Reliability and reproducibility issues in DNA microarray measurements.
By Sorin Draghici, Purvesh Khatri, A. Eklund, Zoltan Szallasi. Trends in Genetics, 2006
626 citations recorded by the source corpus.
DNA microarrays enable researchers to monitor the expression of thousands of genes simultaneously. However, the current technology has several limitations. Here we discuss problems related to the sensitivity, accuracy, specificity and reproducibility of microarray results. The existing data suggest that for relatively abundant transcripts the existence and direction (but not the magnitude) of expression changes can be reliably detected. However, accurate measurements of absolute expression levels and the reliable detection of low abundance genes are difficult to achieve. The main problems seem to be the sub-optimal design or choice of probes and some incorrect probe annotations. Well-designed data-analysis approaches can rectify some of these problems.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/792ab437ecafd8c5b4b5f77eeb6082917b97e1e9
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In Molecular Biology
- Balázs Győrffy
- A. Lánczky
- Akinori Sarai
- Kathleen Marchal
- Li Shen
- Zoltan Szallasi
- Xiaofeng Dai
- Riet De Smet
Citations in the corpus
- Advances and Trends in Omics Technology Development (2022, background): “Besides, DNA microarray is not a feasible platform when analyzing highly repetitive genomes due to the high occurrence of cross-hybridization events that may lead to inaccurate signal intensity estimation (61).”
- PrognoScan: a new database for meta-analysis of the prognostic value of genes (2009, background): “In addition, it is known that a substantial number of incorrect probes are used in microarrays [60].”
- Advantages and limitations of current network inference methods (2010, background): “The large number of possible solutions (the large search space ), together with the restricted number of independent data points and the low information content of the available dat”
- Correlation of mRNA and protein in complex biological samples (2009, neutral): “They can be used to measure absolute transcript concentrations whenever the probe binds to its target specifically [3].”
- An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1,809 patients (2010, background): “8 1 9 8 [2 6 ]”