The effect of using an inappropriate protein database for proteomic data analysis.
Where this comes from
- Record sourced from PubMed, PMID 21695130.
- Also identified by DOI 10.1371/journal.pone.0020873 and PMC identifier 3114852.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
A recent study by Bromenshenk et al., published in PLoS One (2010), used proteomic analysis to identify peptides purportedly of Iridovirus and Nosema origin; however the validity of this finding is controversial. We show here through re-analysis of a subset of this data that many of the spectra identified by Bromenshenk et al. as deriving from Iridovirus and Nosema proteins are actually products from Apis mellifera honey bee proteins. We find no reliable evidence that proteins from Iridovirus and Nosema are present in the samples that were re-analyzed. This article is also intended as a learning exercise for illustrating some of the potential pitfalls of analysis of mass spectrometry proteomic data and to encourage authors to observe MS/MS data reporting guidelines that would facilitate recognition of analysis problems during the review process.
Medical subject headings
- Amino Acid Sequence
- Animals
- Bees
- Databases, Protein
- Fungal Proteins
- Fungal Proteins/analysis
- Insect Proteins
- Insect Proteins/analysis
- Iridovirus
- Molecular Sequence Data
- Nosema
- Proteomics
- Proteomics/methods
- Research Design
- Viral Proteins
- Viral Proteins/analysis