Evidence map›Paper›PMID 30072736›Full record

ArticleScientific reports2018

Profiling of the TCRβ repertoire in non-model species using high-throughput sequencing.

Magdalena Migalska, Alvaro Sebastian, Jacek Radwan

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

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  13. Major histocompatibility complex class I diversity limits the repertoire of T cell receptors.Proceedings of the National Academy of Sciences of the United States of America · 2019
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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

3 authors at 2 institutions in 2 countries.

Magdalena MigalskaEvolutionary Biology Group, Faculty of Biology, Adam Mickiewicz University, ul. Umultowska 89, 61-614, Poznan, Poland. magdalena.migalska@amu.edu.pl.ORCID 0000-0002-0144-4370
Alvaro SebastianEvolutionary Biology Group, Faculty of Biology, Adam Mickiewicz University, ul. Umultowska 89, 61-614, Poznan, Poland.
Jacek RadwanEvolutionary Biology Group, Faculty of Biology, Adam Mickiewicz University, ul. Umultowska 89, 61-614, Poznan, Poland.
Adam Mickiewicz University in Poznań · PLHospital Royo Villanova · ES

Funding

Narodowe Centrum Nauki (National Science Centre) UMO-2013/08/A/NZ8/00153Narodowe Centrum Nauki (National Science Centre) UMO-2017/24/T/NZ8/00088
6 · The paper itself

Abstract

In recent years, immune repertoire profiling with high-throughput sequencing (HTS) has advanced our understanding of adaptive immunity. However, fast progress in the field applied mostly to human and mouse research, with only few studies devoted to other model vertebrates. We present the first in-depth characterization of the T-cell receptor (TCR) repertoire in a non-model mammal (bank vole, Myodes glareolus), widely used in ecological and evolutionary research. We used RNA from spleens, 5'RACE and HTS to describe V and J segments of TCRβ, qualitatively characterize preferential V-J segment usage and CDR3 length distribution. Overall orthology to murine genes was preserved, with 11 J and 37 V genes found in voles (although 3 V genes lacked a close orthologue). Further, we implemented unique molecular identifiers for quantitative analysis of CDR3 repertoire with stringent error correction. A conservative, lower bound estimation of the TCRβ repertoire was similar to that found for mice (1.7-2.3 × 10

Indexed as

ArvicolinaeComplementarity Determining RegionsHigh-Throughput Nucleotide SequencingAnimalsMiceReceptors, Antigen, T-Cell, alpha-betaComplementarity Determining RegionsReceptors, Antigen, T-Cell, alpha-beta

Identifiers

PMID30072736
PMCPMC6072738
OpenAlexW2884815587

What OpenQuestion holds

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LicenceCC BY
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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.