Evidence map›Paper›PMID 27806573›Full record

ArticleJournal of proteome research2016

Discovery of Age-Related Protein Folding Stability Differences in the Mouse Brain Proteome.

Julia H Roberts, Fang Liu, Jaret M Karnuta, Michael C Fitzgerald

Abstract read
In one paragraph

Article in Journal of proteome research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

14 citing papers in PubMed, 25 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

4 authors at 1 institution in 1 country.

Julia H RobertsDepartment of Chemistry, Duke University , Durham, North Carolina 27708, United States.
Fang LiuDepartment of Chemistry, Duke University , Durham, North Carolina 27708, United States.
Jaret M KarnutaDepartment of Chemistry, Duke University , Durham, North Carolina 27708, United States.
Michael C FitzgeraldDepartment of Chemistry, Duke University , Durham, North Carolina 27708, United States.
Duke University · US

Funding

Analysis of Protein-Ligand Binding on the Proteomic ScaleR01GM084174 · NIGMS · DUKE UNIVERSITY · PI FITZGERALD, MICHAEL C · 2009 to 2017
$2.6M
Purchase of a Q-TOF LC/MS SystemS10RR027746 · NCRR · DUKE UNIVERSITY · PI FITZGERALD, MICHAEL C · 2010 to 2010
$369k
NCRR NIH HHS S10 RR027746NIGMS NIH HHS R01 GM084174
6 · The paper itself

Abstract

Described here is the application of thermodynamic stability measurements to study age-related differences in the folding and stability of proteins in a rodent model of aging. Thermodynamic stability profiles were generated for 809 proteins in brain cell lysates from mice, aged 6 (n = 7) and 18 months (n = 9) using the Stability of Proteins from Rates of Oxidation (SPROX) technique. The biological variability of the protein stability measurements was low and within the experimental error of SPROX. A total of 83 protein hits were detected with age-related stability differences in the brain samples. Remarkably, the large majority of the brain protein hits were destabilized in the old mice, and the hits were enriched in proteins that have slow turnover rates (p < 0.07). Furthermore, 70% of the hits have been previously linked to aging or age-related diseases. These results help validate the use of thermodynamic stability measurements to capture relevant age-related proteomic changes and establish a new biophysical link between these proteins and aging.

Indexed as

AgingProtein FoldingAnimalsBrainMiceProtein StabilityProteomeProteomeagingchemical denaturationiTRAQmass spectrometryproteomicsSPROX

Identifiers

PMID27806573
PMCPMC5296835
OpenAlexW2547352135

What OpenQuestion holds

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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.