Abstract

For the archaeon Methanococcus maripaludis, a fully sequenced and annotated model species of hydrogenotrophic methanogen, we report validation of quantitative protein level expression ratios on a proteome-wide basis. Using an approach based on quantitative multidimensional capillary HPLC and quadrupole ion trap mass spectrometry, coverage of gene expression approached that currently achievable with transcription microarrays. Comprehensive mass spectrometry-based proteomics and spotted cDNA arrays were used to compare global protein and mRNA levels in a wild-type (S2) and mutant strain (S40) of M. maripaludis. Using linear regression with 652 expression ratios generated by both the proteomic and microarray methods, a product moment correlation coefficient of 0.24 was observed. The correlation improved to 0.61 if only genes showing significant expression changes were included. A novel two-stage method of outlier detection was used for the protein measurements when Dixon's Q-test by itself failed to give satisfactory results. The log(2) transformations of the number of peptides or isotopic peptide pairs associated with each ORF, divided by the predicted molecular weight, were found to have moderately positive correlations with two bioinformatic predictors of gene expression based on codon bias. We detected peptides derived from 939 proteins or 55% of the genome coding capacity. Of these, 60 were overexpressed, and 34 were underexpressed in the mutant. Of the 1722 ORFs encoded in the genome, 1597 or 93% were probed by cDNA arrays. Of these, 50 were more highly expressed, and 45 showed lower expression levels in the mutant relative to the wild type. 15 ORFs were shown to be overexpressed by both methods, and two ORFs were shown to be overexpressed by proteomics and underexpressed by microarray.

Highlights

  • The hydrogenotrophic methanogens are a major group of Archaea that conserve energy from the use of molecular hydrogen or formate to reduce carbon dioxide to methane

  • In the present paper we present validation of the multidimensional capillary HPLC/tandem mass spectrometry approach (aka MudPIT [4,5]) to quantitative and qualitative proteomics for M. maripaludis by comparison with mRNA expression

  • We consider codon bias relationships as they relate to the proteomic results, a two-stage algorithm for outlier detection in proteomics, and some of the unique strengths and weaknesses of comprehensive expression ratio calculations based on direct measurement of protein using MudPIT technology

Read more

Summary

Introduction

The hydrogenotrophic methanogens are a major group of Archaea that conserve energy from the use of molecular hydrogen or formate to reduce carbon dioxide to methane. In the present paper we present validation of the multidimensional capillary HPLC/tandem mass spectrometry approach (aka MudPIT [4,5]) to quantitative and qualitative proteomics for M. maripaludis by comparison with mRNA expression. Transcriptome analysis was performed in which the ehb mutant and wild-type strains were compared globally for all known genes under the same culture conditions as the proteomics. We consider codon bias relationships as they relate to the proteomic results, a two-stage algorithm for outlier detection in proteomics, and some of the unique strengths and weaknesses of comprehensive expression ratio calculations based on direct measurement of protein using MudPIT technology. We address the question is it reasonable to expect whole proteome level expression ratios from this approach to be comparable in terms of coverage and quantitative reliability to what can be achieved for the transcriptome using microarray technology?

Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call