Assessing RNA Quality in GeneChip Experiments
Author Information
Author(s): Lesley Jones, Darlene R. Goldstein, Gareth Hughes, Andrew D. Strand, Francois Collin, Stephen B. Dunnett, Charles Kooperberg, Aaron Aragaki, James M. Olson, Sarah J. Augood, Richard L. M. Faull, Ruth Luthi-Carter, Valentina Moskvina, Angela K. Hodges
Primary Institution: Cardiff University
Hypothesis
Can pre-chip quality measures predict post-chip quality outcomes in Affymetrix GeneChip expression data?
Conclusion
The study found that RNA integrity before hybridization is strongly associated with post-chip quality measures, suggesting that better pre-hybridization assessments could improve microarray experiment outcomes.
Supporting Evidence
- Pre-chip RNA quality measures were significantly correlated with post-chip quality outcomes.
- Four principal components explained about 75% of the variability in post-chip measures.
- The strongest correlation was found between RNA integrity and post-chip quality control measures.
Takeaway
This study looked at how the quality of RNA before it is put on a chip affects the results we get after. It found that if the RNA is good before, the results are usually better.
Methodology
The study analyzed RNA samples from human brain using Affymetrix GeneChips, correlating pre-chip quality measures with post-chip outcomes through canonical correlation analysis.
Potential Biases
Potential bias due to subjective quality assessments and the exclusion of samples based on arbitrary thresholds.
Limitations
The study was limited by the lack of systematic technical replicates and the subjective nature of some quality assessments.
Participant Demographics
Samples were derived from post-mortem human brain tissues, with no specific demographic details provided.
Statistical Information
P-Value
p<0.0001
Statistical Significance
p<0.0001
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website