Evidence map›Paper›PMID 36378452›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Bioinformatic Analysis of the Subproteomic Profile of Cardiomyopathic Tissue.

Sandra Murphy, Margit Zweyer, Dieter Swandulla, Kay Ohlendieck

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

4 authors at 3 institutions in 3 countries.

Sandra MurphyCharles River Laboratories, Chesterford Research Park, Saffron Walden, UK.
Margit ZweyerDepartment of Neonatology and Pediatric Intensive Care, Children's Hospital, University of Bonn, Bonn, Germany.
Dieter SwandullaInstitute of Physiology, University of Bonn, Bonn, Germany.
Kay OhlendieckDepartment of Biology, Maynooth University, National University of Ireland, Maynooth, Co. Kildare, Ireland. kay.ohlendieck@mu.ie.ORCID 0000-0002-6266-4510
University of Bonn · DECharles River Laboratories (United Kingdom) · GBNational University of Ireland, Maynooth · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Following large-scale protein separation by two-dimensional gel electrophoresis or liquid chromatography, mass spectrometry-based proteomics can be used for the swift identification and characterization of cardiac proteins and their various proteoforms. Comparative cardiac proteomics has been widely applied for the systematic analysis of heart disease and the establishment of novel diagnostic protein biomarkers. The X-linked neuromuscular disorder Duchenne muscular dystrophy is a multisystemic disease that is characterized by late-onset cardiomyopathy. This chapter outlines the bioinformatic analysis of the subproteomic profile of cardiac tissue from wild-type versus the dystrophic mdx-4cv mouse model of dystrophinopathy.

Indexed as

CardiomyopathiesMuscular Dystrophy, DuchenneAnimalsComputational BiologyDystrophinMiceMice, Inbred mdxMuscle, SkeletalProteinsProteomicsDystrophinProteinsBioinformaticsCardiac muscleDuchenne muscular dystrophyMass spectrometryProtein familyProtein pathwayProtein-protein interactionsProteomics

Identifiers

PMID36378452
OpenAlexW4309506063

What Socratic 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 Socratic graph.