Evidence map›Paper›PMID 15978832›Full record

ArticleJournal of the American Society for Mass Spectrometry2005

Guidelines for the routine application of the peptide hits technique.

Ji Gao, Mark S Friedrichs, Ashok R Dongre, Gregory J Opiteck

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Article in Journal of the American Society for Mass Spectrometry, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
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  5. Review
  6. Article
  7. Label-free protein quantitation using weighted spectral counting.Methods in molecular biology (Clifton, N.J.) · 2012
    Article
  8. Article
  9. Improving proteome coverage on a LTQ-Orbitrap using design of experiments.Journal of the American Society for Mass Spectrometry · 2011
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Proteomic analysis of Schistosoma mansoni egg secretions.Molecular and biochemical parasitology · 2007
    Article
  20. Review
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

4 authors.

Ji GaoPharmaceutical Research Institute, Bristol-Myers Squibb Company, Princeton, New Jersey 08534-5400, USA. ji.gao@bms.com
Mark S Friedrichs
Ashok R Dongre
Gregory J Opiteck

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A set of guidelines has been developed for using the peptide hits technique (PHT) as a semi-quantitative screening tool for the identification of proteins that change in abundance in a complex mixture. The dataset that formed the basis for these experiments was created using a cell lysate derived from the yeast Saccharomyces cerevisiae, spiked at various levels with serum albumin (BSA), and analyzed by LC/MS/MS and SEQUEST. Knowing that the level of only one protein (BSA) actually changed in the mixture allowed for the development and refinement of the necessary bioinformatics and statistical analyses, e.g., principal component analysis (PCA), normalization, and analysis of variation (ANOVA). As expected, the number of BSA peptide hits changed in proportion to the amount of BSA added to the sample. PCA was able to clearly distinguish between the spiked samples and the untreated sample, indicating that PCA may be able to classify samples, e.g., healthy versus diseased, in future experiments. The use of an endogenous "housekeeping" protein was found to be superior to the use of total hits for data normalization prior to analysis. An ANOVA based model readily identified BSA as a protein of interest, that is, one likely to be changing from amongst the background proteins, indicating that an ANOVA model may be able to identify individual proteins in target or biomarker discovery experiments. General guidelines based on these combined observations are set forth for future analyses and the rapid screening for candidate proteins of interest.

Indexed as

Guidelines as TopicAnalysis of VarianceCell ExtractsMass SpectrometryProteomicsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsCell ExtractsSaccharomyces cerevisiae Proteins

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Registered trials

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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.