github link
Accession IconGSE19154

Exon level integration of proteomics and microarray data

Organism Icon Homo sapiens
Sample Icon 4 Downloadable Samples
Technology Badge Icon Affymetrix Human Human Exon 1.0 ST Array (huex10st)

Submitter Supplied Information

Description
Background: Previous studies comparing quantitative proteomics and microarray data have generally found poor correspondence between the two. We hypothesised that this might in part be because the different assays were targeting different parts of the expressed genome and might therefore be subjected to confounding effects from processes such as alternative splicing. Results: Using a genome database as a platform for integration, we combined quantitative protein mass spectrometry with Affymetrix Exon array data at the level of individual exons. We found significantly higher degrees of correlation than have been previously observed (r=0.808). The study was performed using cell lines in equilibrium in order to reduce a major potential source of biological variation, thus allowing the analysis to focus on the data integration methods in order to establish their performance. Conclusion: We conclude that much of the variation observed when integrating microarray and proteomics data may occur as a consequence both of the data analysis and of the high granularity to which studies have until recently been limited. The approach opens up the possibility for the first time of considering combined microarray and proteomics datasets at the level of individual exons and isoforms, important given the high proportion of alternative splicing observed in the human genome.
PubMed ID
Total Samples
6
Submitter’s Institution
Alternate Accession IDs

Samples

Show of 0 Total Samples
Filter
Add/Remove
Accession Code
Title
Cell line
Processing Information
Additional Metadata
No rows found
Loading...