Evidence map›Paper›PMID 16489187›Full record

ArticleMolecular & cellular proteomics : MCP2006

Quantitative proteomics of the archaeon Methanococcus maripaludis validated by microarray analysis and real time PCR.

Qiangwei Xia, Erik L Hendrickson, Yi Zhang, Tiansong Wang, Fred Taub, Brian C Moore, Iris Porat, William B Whitman, Murray Hackett, John A Leigh

Open access · hybridAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
6.0field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 81 citations in OpenAlex.

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  17. Extreme challenges and advances in archaeal proteomics.Current opinion in microbiology · 2012
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Qiangwei XiaDepartment of Chemical Engineering , University of Washington, Seattle, Washington 98195, USA.
Erik L Hendrickson
Yi Zhang
Tiansong Wang
Fred Taub
Brian C Moore
Iris Porat
William B Whitman
Murray Hackett
John A Leigh
University of Washington · USUniversity of Georgia · US

Funding

Proteomics of Porphyromonas gingivalis interactions with Fusobacterium nucleatumR01DE014372 · NIDCR · UNIVERSITY OF WASHINGTON · PI HACKETT, MURRAY · 2003 to 2014
$3.7M
Proteomics of P. gingivalis interactions with F. nucleatum and S. gordoniiR56DE014372 · NIDCR · UNIVERSITY OF WASHINGTON · PI HACKETT, MURRAY · 2009 to 2015
$1.2M
GENOME SEQUENCE AND REGULATION IN M MARIPALUDISR01GM060403 · NIGMS · UNIVERSITY OF WASHINGTON · PI LEIGH, JOHN A · 2000 to 2002
$728k
NIDCR NIH HHS DE014372NIDCR NIH HHS R01 DE014372NIDCR NIH HHS R56 DE014372NIGMS NIH HHS GM60403NIGMS NIH HHS R01 GM060403
6 · The paper itself

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.

Indexed as

Protein Array AnalysisProteomicsArchaeal ProteinsCodonGene Expression Regulation, ArchaealGenes, ArchaealGenome, ArchaealMass SpectrometryMethanococcusMolecular WeightOpen Reading FramesPeptidesPolymerase Chain ReactionProteomeReproducibility of ResultsRNA, MessengerArchaeal ProteinsCodonPeptidesProteomeRNA, Messenger

Identifiers

PMID16489187
PMCPMC2655211
OpenAlexW2095781267

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.