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Phage display for identification of serum biomarkers of traumatic brain injury

Overview of attention for article published in Journal of Neuroscience Methods, May 2016
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Article details
Title
Phage display for identification of serum biomarkers of traumatic brain injury
Published in
Journal of Neuroscience Methods, May 2016
DOI 10.1016/j.jneumeth.2016.04.026
Pubmed ID
Authors
Abstract

The extent and severity of traumatic brain injuries (TBIs) can be difficult to determine with current diagnostic methods. To address this, there has been increased interest in developing biomarkers to assist in the diagnosis, determination of injury severity, evaluation of recovery and therapeutic efficacy, and prediction of outcomes. Several promising serum TBI biomarkers have been identified using hypothesis-driven approaches, largely examining proteins that are abundant in neurons and non-neural cells in the CNS. An unbiased approach, phage display, was used to identify serum TBI biomarkers. In this proof-of-concept study, mice received a TBI using the controlled cortical impact model of TBI (1mm injury depth, 3.5m/s velocity) and phage display was utilized to identify putative serum biomarkers at 6h postinjury. An engineered phage which preferentially bound to injured serum was sequenced to identify the 12-mer 'recognizer' peptide expressed on the coat protein. Following synthesis of the recognizer peptide, pull down, and mass spectrometry analysis, the target protein was identified as glial fibrillary acidic protein (GFAP). GFAP has previously been identified as a promising TBI biomarker. The results provide proof of concept regarding the ability of phage display to identify TBI serum biomarkers. This methodology is currently being applied to serum biomarkers of mild TBI.

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The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Australia 1 2%
Unknown 45 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 8 17%
Researcher 6 13%
Student > Bachelor 5 11%
Student > Master 5 11%
Student > Postgraduate 3 7%
Other 5 11%
Unknown 14 30%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 6 13%
Biochemistry, Genetics and Molecular Biology 5 11%
Neuroscience 5 11%
Medicine and Dentistry 4 9%
Psychology 3 7%
Other 7 15%
Unknown 16 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 November 2017.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from Journal of Neuroscience Methods
#2,852
of 3,067 outputs
Outputs of similar age
#269,921
of 312,550 outputs
Outputs of similar age from Journal of Neuroscience Methods
#41
of 49 outputs
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