Evidence map›Paper›PMID 27718312›Full record

ArticleProteomics2016

Extracting histones for the specific purpose of label-free MS.

Elisabeth Govaert, Katleen Van Steendam, Ellen Scheerlinck, Liesbeth Vossaert, Paulien Meert, Martina Stella, Sander Willems, Laura De Clerck, Maarten Dhaenens, Dieter Deforce

Abstract read
In one paragraph

Article in Proteomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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.

Elisabeth GovaertLaboratory of Pharmaceutical Biotechnology, Ghent University, Ghent, Belgium.
Katleen Van SteendamLaboratory of Pharmaceutical Biotechnology, Ghent University, Ghent, Belgium.
Ellen ScheerlinckLaboratory of Pharmaceutical Biotechnology, Ghent University, Ghent, Belgium.
Liesbeth VossaertLaboratory of Pharmaceutical Biotechnology, Ghent University, Ghent, Belgium.
Paulien MeertLaboratory of Pharmaceutical Biotechnology, Ghent University, Ghent, Belgium.
Martina StellaDepartment of Pharmaceutical Sciences, University of Eastern Piedmont, Novara, Italy.
Sander WillemsLaboratory of Pharmaceutical Biotechnology, Ghent University, Ghent, Belgium.
Laura De ClerckLaboratory of Pharmaceutical Biotechnology, Ghent University, Ghent, Belgium.
Maarten DhaenensLaboratory of Pharmaceutical Biotechnology, Ghent University, Ghent, Belgium.
Dieter DeforceLaboratory of Pharmaceutical Biotechnology, Ghent University, Ghent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracting histones from cells is the first step in studies that aim to characterize histones and their post-translational modifications (hPTMs) with MS. In the last decade, label-free quantification is more frequently being used for MS-based histone characterization. However, many histone extraction protocols were not specifically designed for label-free MS. While label-free quantification has its advantages, it is also very susceptible to technical variation. Here, we adjust an established histone extraction protocol according to general label-free MS guidelines with a specific focus on minimizing sample handling. These protocols are first evaluated using SDS-PAGE. Hereafter, a selection of extraction protocols was used in a complete histone workflow for label-free MS. All protocols display nearly identical relative quantification of hPTMs. We thus show that, depending on the cell type under investigation and at the cost of some additional contaminating proteins, minimizing sample handling can be done during histone isolation. This allows analyzing bigger sample batches, leads to reduced technical variation and minimizes the chance of in vitro alterations to the hPTM snapshot. Overall, these results allow researchers to determine the best protocol depending on the resources and goal of their specific study. Data are available via ProteomeXchange with identifier PXD002885.

Indexed as

Chemical FractionationElectrophoresis, Polyacrylamide GelEmbryonic Stem CellsHistonesHumansMass SpectrometryProtein Processing, Post-TranslationalProteomicsReproducibility of ResultsWorkflowHistonesComparative studyEpigeneticsExtraction protocolHistoneLabel-free MS quantificationTechnology

Identifiers

PMID27718312
PMCPMC5157773

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.