Evidence map›Paper›PMID 26223514›Full record

ArticleProteomics2015

Properly reading the histone code by MS-based proteomics.

Simone Sidoli, Benjamin A Garcia

Abstract readComment
PubMed Publisher
In one paragraph

Article in Proteomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Simone SidoliEpigenetics Program, Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Benjamin A GarciaEpigenetics Program, Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
University of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Histone proteins are essential elements for DNA packaging. Their PTMs contribute in modeling chromatin structure and recruiting enzymes involved in gene regulation, DNA repair, and chromosome condensation. This fundamental aspect, together with the fact that histone PTMs can be epigenetically inherited through cell generations, enlightens their importance in chromatin biology, and the consequent necessity of having biochemical techniques for their characterization. Nanoflow LC coupled to MS (nanoLC-MS) is the strategy of choice for protein PTM accurate quantification. However, histones require adjustments to the digestion protocol such as lysine derivatization to obtain suitable peptides for the analysis. nanoLC-MS has numerous advantages, spanning from high confidence identification to possibility of high throughput analyses, but the peculiarity of the histone preparation protocol requires continuous monitoring with the most modern available technologies to question its reliability. The work of Meert et al. (Proteomics 2015, 15, 2966-2971) establishes which protocols lead to either incomplete derivatization or derivatization of undesired amino acid residues using a combination of high resolution MS and bioinformatics tools for the alignment and the characterization of nanoLC-MS runs. As well, they identify a number of side reactions that could be potentially misinterpreted as biological PTMs.

Indexed as

AnimalsHistonesMass SpectrometryProteomicsHistonesHistonesMass spectrometryPosttranslational modificationsPropionylationSample preparationTechnology

Identifiers

PMID26223514
OpenAlexW1897250172

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.