Evidence map›Paper›PMID 21997732›Full record

ArticleMolecular & cellular proteomics : MCP2012

Direct iterative protein profiling (DIPP) - an innovative method for large-scale protein detection applied to budding yeast mitosis.

Régis Lavigne, Emmanuelle Becker, Yuchen Liu, Bertrand Evrard, Aurélie Lardenois, Michael Primig, Charles Pineau

Abstract readComparative Study
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  9. First Viruses Infecting the Marine DiatomFrontiers in microbiology · 2018
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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

7 authors.

Régis LavigneInserm U1085, IRSET, Proteomics Core Facility Biogenouest, Université de Rennes 1, F-35042 Rennes, France.
Emmanuelle Becker
Yuchen Liu
Bertrand Evrard
Aurélie Lardenois
Michael Primig
Charles Pineau

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The budding yeast Saccharomyces cerevisiae is a major model organism for important biological processes such as mitotic growth and meiotic development, it can be a human pathogen, and it is widely used in the food-, and biotechnology industries. Consequently, the genomes of numerous strains have been sequenced and a very large amount of RNA profiling data is available. Moreover, it has recently become possible to quantitatively analyze the entire yeast proteome; however, efficient and cost-effective high-throughput protein profiling remains a challenge. We report here a new approach to direct and label-free large-scale yeast protein identification using a tandem buffer system for protein extraction, two-step protein prefractionation and enzymatic digestion, and detection of peptides by iterative mass spectrometry. Our profiling study of diploid cells undergoing rapid mitotic growth identified 86% of the known proteins and its output was found to be widely concordant with genome-wide mRNA concentrations and DNA variations between yeast strains. This paves the way for comprehensive and straightforward yeast proteome profiling across a wide variety of experimental conditions.

Indexed as

Gene Expression ProfilingProteomicsChromatography, LiquidDNA, FungalHumansMitosisProteomeSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationDNA, FungalProteomeSaccharomyces cerevisiae Proteins

Identifiers

PMID21997732
PMCPMC3277764

What OpenQuestion holds

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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.