Evidence map›Paper›PMID 29286404›Full record

ArticleJournal of visualized experiments : JoVE2017

Zika Virus Specific Diagnostic Epitope Discovery.

Maite Sabalza, Cheryl A Barber, William R Abrams, Richard Montagna, Daniel Malamud

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 13 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

5 authors at 1 institution in 1 country.

Maite SabalzaDepartment of Basic Sciences and Craniofacial Development, New York University College of Dentistry; ms10129@nyu.edu.
Cheryl A BarberDepartment of Basic Sciences and Craniofacial Development, New York University College of Dentistry.
William R AbramsDepartment of Basic Sciences and Craniofacial Development, New York University College of Dentistry.
Richard MontagnaRheonix, Inc.
Daniel MalamudDepartment of Basic Sciences and Craniofacial Development, New York University College of Dentistry; Department of Medicine, New York University Langone School of Medicine.
New York University · US

Funding

Point Detection of Pathogens in Oral Samples via UPTU01DE017855 · NIDCR · NEW YORK UNIVERSITY · PI MALAMUD, DANIEL · 2006 to 2010
$7.9M
Point-of-care Detection of HIV Antibodies and RNA in Blood and SalivaR44DE024456 · NIDCR · RHEONIX, INC. · PI MONTAGNA, RICHARD A. · 2014 to 2016
$2.3M
NIDCR NIH HHS R44 DE024456NIDCR NIH HHS U01 DE017855
6 · The paper itself

Abstract

High-density peptide microarrays allow screening of more than six thousand peptides on a single standard microscopy slide. This method can be applied for drug discovery, therapeutic target identification, and developing of diagnostics. Here, we present a protocol to discover specific Zika virus (ZIKV) diagnostic peptides using a high-density peptide microarray. A human serum sample validated for ZIKV infection was incubated with a high-density peptide microarray containing the entire ZIKV protein translated into 3,423 unique 15 linear amino acid (aa) residues with a 14-aa residue overlap printed in duplicate. Staining with different secondary antibodies within the same array, we detected peptides that bind to Immunoglobulin M (IgM) and Immunoglobulin G (IgG) antibodies present in serum. These peptides were selected for further validation experiments. In this protocol, we describe the strategy followed to design, process, and analyze a high-density peptide microarray.

Indexed as

Antibodies, ViralEpitopesHumansZika VirusZika Virus InfectionAntibodies, ViralEpitopes

Identifiers

PMID29286404
PMCPMC5755560
OpenAlexW2773910458

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.