Evidence map›Paper›PMID 23606258›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2013

Identification of thioredoxin target protein networks in cardiac tissues of a transgenic mouse.

Cexiong Fu, Tong Liu, Andrew M Parrott, Hong Li

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2013. 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
–field-weighted citation impact, top 81% 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, 3 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 2 institutions in 1 country.

Cexiong FuPharmacokinetics, Dynamics and Metabolism, Pfizer Global Research and Development, Pfizer Inc., Groton, CT, USA.
Tong Liu
Andrew M Parrott
Hong Li
Rutgers, The State University of New Jersey · USPfizer (United States) · US

Funding

Rutgers Mass Spectrometry Core for Integrative Neuroscience ResearchP30NS046593 · NINDS · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI LI, HONG, LOBEL, PETER · 2004 to 2018
$9.9M
NINDS NIH HHS P30 NS046593
6 · The paper itself

Abstract

The advent of sensitive and robust quantitative proteomics techniques has been emerging as a vital tool for deciphering complex biological puzzles that would have been challenging to conventional molecular biology methods. The method here describes the use of two isotope labeling techniques-isobaric tags for relative and absolute quantification (iTRAQ) and redox isotope-coded affinity tags (ICAT)-to elucidate the cardiovascular redox-proteome changes and thioredoxin 1 (Trx1)-regulated protein network in cardiac-specific Trx1 transgenic mouse models. The strategy involves the use of an amine-labeling iTRAQ technique, gauging the global proteome changes in Trx1 transgenic mice at the protein level, while ICAT, labeling redox-sensitive cysteines, reveals the redox status of cysteine residues. Collectively, these two quantitative proteomics techniques can not only quantify global changes of the cardiovascular proteome but also pinpoint specific redox-sensitive cysteine sites that are subjected to Trx1-catalyzed reduction.

Indexed as

Protein Interaction MapsAnimalsChromatography, Reverse-PhaseCysteineHeart VentriclesIsotope LabelingMiceMice, TransgenicOxidation-ReductionPeptide MappingProteolysisProteomeSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationStaining and LabelingThioredoxinsTrypsinCysteineProteomeThioredoxinsTrypsinTxn1 protein, mouse

Identifiers

PMID23606258
PMCPMC4640704
OpenAlexW2396183670

What OpenQuestion holds

Textmetadata
LicenceTDM
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.