Evidence map›Paper›PMID 17639608›Full record

ReviewProteomics2007

Protein abundance ratios for global studies of prokaryotes.

Qiangwei Xia, Erik L Hendrickson, Tiansong Wang, Richard J Lamont, John A Leigh, Murray Hackett

Abstract readReview
In one paragraph

Review in Proteomics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Proteomic identification of novel proteins associated with Lewy bodies.Frontiers in bioscience : a journal and virtual library · 2008
    Article
  13. Article
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

6 authors.

Qiangwei XiaDepartment of Chemical Engineering, University of Washington, Seattle, WA 98195, USA.
Erik L Hendrickson
Tiansong Wang
Richard J Lamont
John A Leigh
Murray Hackett

Funding

P GINGIVALIS INTERACTIONS WITH GINGIVAL EPITHELIAL CELLSR01DE011111 · NIDCR · UNIVERSITY OF WASHINGTON · PI HARIBABU BODDULURI, Richard J Lamont · 1995 to 2026
$5.4M
Proteomics of Porphyromonas gingivalis interactions with Fusobacterium nucleatumR01DE014372 · NIDCR · UNIVERSITY OF WASHINGTON · PI HACKETT, MURRAY · 2003 to 2014
$3.7M
P.gingivalis Interactions with Gingival Epithelial CellsR37DE011111 · NIDCR · UNIVERSITY OF LOUISVILLE · PI LAMONT, RICHARD J · 2009 to 2018
$3.6M
Proteomics of P. gingivalis interactions with F. nucleatum and S. gordoniiR56DE014372 · NIDCR · UNIVERSITY OF WASHINGTON · PI HACKETT, MURRAY · 2009 to 2015
$1.2M
Methanococcus maripaludis as an emerging model organismR24GM074783 · NIGMS · UNIVERSITY OF WASHINGTON · PI LEIGH, JOHN A · 2007 to 2010
$915k
NIDCR NIH HHS DE11111NIDCR NIH HHS DE14372NIDCR NIH HHS R01 DE011111NIDCR NIH HHS R01 DE014372NIDCR NIH HHS R37 DE011111NIDCR NIH HHS R56 DE014372NIGMS NIH HHS GM074783NIGMS NIH HHS R24 GM074783
6 · The paper itself

Abstract

The use of multidimensional capillary HPLC combined with MS/MS has allowed high qualitative and quantitative proteome coverage of prokaryotic organisms. The determination of protein abundance change between two or more conditions has matured to the point that false discovery rates can be very low and for smaller proteomes coverage is sufficiently high to explicitly consider false negative error. Selected aspects of using these methods for global protein abundance assessments are reviewed. These include instrumental issues that influence the reliability of abundance ratios; a comparison of sources of nonlinearity, errors, and data compression in proteomics and spotted cDNA arrays; strengths and weaknesses of spectral counting versus stable isotope metabolic labeling; and a survey of microbiological applications of global abundance analysis at the protein level. Proteomic results for two organisms that have been studied extensively using these methods are reviewed in greater detail. Spectral counting and metabolic labeling data are compared and the utility of proteomics for global gene regulation studies are discussed for the methanogenic Archaeon Methanococcus maripaludis. The oral pathogen Porphyromonas gingivalis is discussed as an example of an organism where a large percentage of the proteome differs in relative abundance between the intracellular and extracellular phenotype.

Indexed as

Chromatography, High Pressure LiquidMethanococcusPorphyromonas gingivalisProkaryotic CellsProteinsTandem Mass SpectrometryProteins

Identifiers

PMID17639608
PMCPMC2660852

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.