Evidence map›Paper›PMID 33625787›Full record

ArticleCurrent protocols2021

In Vivo Phage Display as a Biomarker Discovery Tool for the Complex Neural Injury Microenvironment.

Briana I Martinez, Sarah E Stabenfeldt

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Current protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Briana I MartinezSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona.
Sarah E StabenfeldtSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona.

Funding

Detecting and Treating Traumatic Brain Injury Pathology Progression from the Inside-OutDP2HD084067 · NICHD · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI STABENFELDT, SARAH E · 2014 to 2018
$2.8M
NICHD NIH HHS DP2 HD084067NIH HHS 1DP2HD084067NIH HHS 1DP2HD084067-01S1NINDS NIH HHS
6 · The paper itself

Abstract

The heterogeneous injury pathophysiology of traumatic brain injury (TBI) is a barrier to developing highly sensitive and specific diagnostic tools. Phage display, a protein-protein screening technique routinely used in drug development, has the potential to be a powerful biomarker discovery tool for TBI. However, analysis of these large and diverse phage libraries is a bottleneck to moving through the discovery pipeline in a timely and efficient manner. This article describes a unique discovery pipeline involving domain antibody (dAb) phage in vivo biopanning and next-generation sequencing (NGS) analysis to identify targeting motifs that recognize distinct aspects of TBI pathology. To demonstrate this process, we conduct in vivo biopanning on the controlled cortical impact mouse model of experimental TBI at 1 and 7 days postinjury. Phage accumulation in target tissues is quantified via titers before NGS preparation and analysis. This phage display biomarker discovery pipeline for TBI successfully achieves discovery of temporally specific TBI targeting motifs and may further TBI biomarker research for other characteristics of injury. © 2021 Wiley Periodicals LLC. Basic Protocol 1: Phage production and purification Support Protocol: Controlled cortical impact model Basic Protocol 2: Injection and elution of phage Basic Protocol 3: Amplicon sequencing and sequence analysis.

Indexed as

BacteriophagesPeptide LibraryAnimalsBiomarkersBioprospectingCell Surface Display TechniquesMiceBiomarkersPeptide Librarydomain antibody fragmentnext generation sequencingphage displaytraumatic brain injury

Identifiers

PMID33625787

What OpenQuestion 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 OpenQuestion graph.