Evidence map›Paper›PMID 27445641›Full record

ArticleBiological procedures online2016

An optimised method for the proteomic profiling of full thickness human skin.

Emily Bliss, Wendy E Heywood, Malika Benatti, Neil J Sebire, Kevin Mills

Open access · goldAbstract read
In one paragraph

Article in Biological procedures online, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Emily BlissCentre for Translational Omics, UCL Institute of Child Health, 30 Guilford Street, London, WC1N 1EH UK.ORCID 0000-0002-2754-4556
Wendy E HeywoodCentre for Translational Omics, UCL Institute of Child Health, 30 Guilford Street, London, WC1N 1EH UK.
Malika BenattiHistopathology Department, Great Ormond Street Hospital, London, WC1N 3JH UK.
Neil J SebireHistopathology Department, Great Ormond Street Hospital, London, WC1N 3JH UK.
Kevin MillsCentre for Translational Omics, UCL Institute of Child Health, 30 Guilford Street, London, WC1N 1EH UK.
Institute of Child Health · GRGreat Ormond Street Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe skin is the largest organ of the human body and is the first line barrier defence against trauma, microbial infiltration and radiation. Skin diseases can be a result of multi-systemic disease or an isolated condition. Due to its proteolysis resistant properties there are relatively few human skin proteomic datasets published compared with other human organs or body fluids. Skin is a challenging tissue to analyse using traditional proteomic techniques due to its high lipid content, insolubility and extensive cross-linking of proteins. This can complicate the isolation and digestion of proteins for analysis using mass spectrometry techniques.

resultsWe have optimised a sample preparation procedure to improve solubilisation and mass spectral compatibility of full thickness skin samples. Using this technique, we were able to obtain data for the proteome profile of full thickness human skin using on-line two-dimensional liquid chromatography, followed by ultra-high definition label-free mass spectrometry analysis (UDMS(E)). We were able to identify in excess of 2000 proteins from a full thickness skin sample.

conclusionsThe adoption of on-line fractionation and optimised acquisition protocols utilising ion mobility separation (IMS) technology has significantly increased the scope for protein identifications ten-fold.

Indexed as

Mass spectrometryProteomicsSkin profilingSolubilisation

Identifiers

PMID27445641
PMCPMC4955162
OpenAlexW2492824047

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.