ArticleMolecular & cellular proteomics : MCP2006
Quantitative proteomics of the archaeon Methanococcus maripaludis validated by microarray analysis and real time PCR.
Article in Molecular & cellular proteomics : MCP, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed, 81 citations in OpenAlex.
- Evolution, structure and function of L-cysteine desulfidase, an enzyme involved in sulfur metabolism in the methanogenic archeon Methanococcus maripaludis.Communications biology · 2025Article
- An improved CRISPR and CRISPR interference (CRISPRi) toolkit for engineering the model methanogenic archaeon Methanococcus maripaludis.Microbial cell factories · 2024Article
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- Progress of Crude Oil Gasification Technology Assisted by Microorganisms in Reservoirs.Microorganisms · 2024Review
- A comprehensive history of motility and Archaellation in Archaea.FEMS microbes · 2021Article
- Study of Fe-S Cluster Proteins in Methanococcus maripaludis , a Model Archaeal Organism.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Article
- Multiplex quantitative SILAC for analysis of archaeal proteomes: a case study of oxidative stress responses.Environmental microbiology · 2018Article
- Non-essential MCM-related proteins mediate a response to DNA damage in the archaeon Methanococcus maripaludis.Microbiology (Reading, England) · 2017Article
- Article
- Diversity of the DNA replication system in the Archaea domain.Archaea (Vancouver, B.C.) · 2014Review
- VhuD facilitates electron flow from H2 or formate to heterodisulfide reductase in Methanococcus maripaludis.Journal of bacteriology · 2013Article
- A systems level predictive model for global gene regulation of methanogenesis in a hydrogenotrophic methanogen.Genome research · 2013Article
- Random mutagenesis identifies factors involved in formate-dependent growth of the methanogenic archaeon Methanococcus maripaludis.Molecular genetics and genomics : MGG · 2013Article
- Effects of H2 and formate on growth yield and regulation of methanogenesis in Methanococcus maripaludis.Journal of bacteriology · 2013Article
- Contribution of transcriptomics to systems-level understanding of methanogenic Archaea.Archaea (Vancouver, B.C.) · 2013Review
- Extreme challenges and advances in archaeal proteomics.Current opinion in microbiology · 2012Review
- Analysis of a membrane-enriched proteome from postmortem human brain tissue in Alzheimer's disease.Proteomics. Clinical applications · 2012Article
- Improved quality control processing of peptide-centric LC-MS proteomics data.Bioinformatics (Oxford, England) · 2011Article
- Impact of translational selection on codon usage bias in the archaeon Methanococcus maripaludis.Biology letters · 2011Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
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.
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