Evidence map›Paper›PMID 28587287›Full record

ArticleProteomes2017

A Routine 'Top-Down' Approach to Analysis of the Human Serum Proteome.

Arlene M D'Silva, Jon A Hyett, Jens R Coorssen

Abstract read
In one paragraph

Article in Proteomes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
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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

3 authors.

Arlene M D'SilvaDepartment of Molecular Physiology, The Molecular Medicine Research Group, School of Medicine, Western Sydney University, Campbelltown, NSW 2150, Australia. A.Dsilva@westernsydney.edu.au.
Jon A HyettDepartment of High Risk Obstetrics, RPA Women and Babies, Royal Prince Alfred Hospital, Sydney, NSW 2050, Australia. Jon.Hyett@sswahs.nsw.gov.au.
Jens R CoorssenFaculty of Graduate Studies, and the Departments of Health Sciences and Biological Sciences, Brock University, St. Catharines, ON L2S 3A1, Canada. jcoorssen@brocku.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serum provides a rich source of potential biomarker proteoforms. One of the major obstacles in analysing serum proteomes is detecting lower abundance proteins owing to the presence of hyper-abundant species (e.g., serum albumin and immunoglobulins). Although depletion methods have been used to address this, these can lead to the concomitant removal of non-targeted protein species, and thus raise issues of specificity, reproducibility, and the capacity for meaningful quantitative analyses. Altering the native stoichiometry of the proteome components may thus yield a more complex series of issues than dealing directly with the inherent complexity of the sample. Hence, here we targeted method refinements so as to ensure optimum resolution of serum proteomes via a top down two-dimensional gel electrophoresis (2DE) approach that enables the routine assessment of proteoforms and is fully compatible with subsequent mass spectrometric analyses. Testing included various fractionation and non-fractionation approaches. The data show that resolving 500 µg protein on 17 cm 3-10 non-linear immobilised pH gradient strips in the first dimension followed by second dimension resolution on 7-20% gradient gels with a combination of lithium dodecyl sulfate (LDS) and sodium dodecyl sulfate (SDS) detergents markedly improves the resolution and detection of proteoforms in serum. In addition, well established third dimension electrophoretic separations in combination with deep imaging further contributed to the best available resolution, detection, and thus quantitative top-down analysis of serum proteomes.

Indexed as

deep ImagingLithium Dodecyl Sulfatepostfractionationprefractionationproteoformsproteomicsthree-dimensional gel electrophoresistwo-dimensional gel electrophoresis

Identifiers

PMID28587287
PMCPMC5489773

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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.