Evidence map›Paper›PMID 35734164›Full record

ArticleFrontiers in immunology2022

Exploration of the Nurse Shark (

Fiona K Bakke, Manu Kumar Gundappa, Hanover Matz, David A Stead, Daniel J Macqueen, Helen Dooley

Abstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Mass Spectrometry Analysis of Shark Skin Proteins.International journal of molecular sciences · 2023
    Review
  4. 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

6 authors.

Fiona K BakkeSchool of Biological Sciences, University of Aberdeen, Aberdeen, United Kingdom.
Manu Kumar GundappaThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, United Kingdom.
Hanover MatzDepartment of Microbiology and Immunology, Institute of Marine and Environmental Technology (IMET), University of Maryland School of Medicine, Baltimore, MD, United States.
David A SteadAberdeen Proteomics, The Rowett Institute, University of Aberdeen, Aberdeen, United Kingdom.
Daniel J MacqueenThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, United Kingdom.
Helen DooleyDepartment of Microbiology and Immunology, Institute of Marine and Environmental Technology (IMET), University of Maryland School of Medicine, Baltimore, MD, United States.

Funding

The evolution of B cell selection and affinity maturation in ectothermsF31AI147532 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI MATZ, HANOVER CHRISTIAN · 2019 to 2021
$96k
Biotechnology and Biological Sciences Research Council BB/M010996/1Biotechnology and Biological Sciences Research Council BBS/E/D/10002071NIAID NIH HHS F31 AI147532
6 · The paper itself

Abstract

Many animals of scientific importance lack species-specific reagents (e.g., monoclonal antibodies) for in-depth studies of immune proteins. Mass spectrometry (MS)-based proteomics has emerged as a useful method for monitoring changes in protein abundance and modifications in non-model species. It can be used to quantify hundreds of candidate immune molecules simultaneously without the generation of new reagents. Here, we used MS-based proteomics to identify and quantify candidate immune proteins in the plasma of the nurse shark (

Indexed as

ProteomeSharksAnimalsChromatography, LiquidPlasmaTandem Mass SpectrometryProteomecartilaginous fishes (Chondrichthyes)de novo transcriptomeimmunoglobulinplasmaproteomeshark

Identifiers

PMID35734164
PMCPMC9207270

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.