Evidence map›Paper›PMID 28693542›Full record

ArticleBMC biotechnology2017

Overview of methodologies for T-cell receptor repertoire analysis.

Elisa Rosati, C Marie Dowds, Evaggelia Liaskou, Eva Kristine Klemsdal Henriksen, Tom H Karlsen, Andre Franke

Open access · goldAbstract read
In one paragraph

Article in BMC biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 203 papers.

0numbers the graph read from it
0cells of the map it votes in
203citing papers in PubMed
11.7field-weighted citation impact, top 1% 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

203 citing papers in PubMed, 345 citations in OpenAlex.

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143 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 3 countries.

Elisa RosatiInstitute of Clinical Molecular Biology, Kiel University, Rosalind-Franklin-Str. 12, 24105, Kiel, Germany.
C Marie DowdsInstitute of Clinical Molecular Biology, Kiel University, Rosalind-Franklin-Str. 12, 24105, Kiel, Germany.
Evaggelia LiaskouCentre for Liver Research and NIHR Birmingham Liver Biomedical Research Unit, Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK.
Eva Kristine Klemsdal HenriksenNorwegian PSC Research Center, Department of Transplantation Medicine, Division of Surgery, Inflammatory Medicine and Transplantation, Oslo University Hospital Rikshospitalet, Oslo, Norway.
Tom H KarlsenNorwegian PSC Research Center, Department of Transplantation Medicine, Division of Surgery, Inflammatory Medicine and Transplantation, Oslo University Hospital Rikshospitalet, Oslo, Norway.
Andre FrankeInstitute of Clinical Molecular Biology, Kiel University, Rosalind-Franklin-Str. 12, 24105, Kiel, Germany. a.franke@mucosa.de.
Kiel University · DEOslo University Hospital · NOUniversity of Birmingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe T-cell receptor (TCR), located on the surface of T cells, is responsible for the recognition of the antigen-major histocompatibility complex, leading to the initiation of an inflammatory response. Analysing the TCR repertoire may help to gain a better understanding of the immune system features and of the aetiology and progression of diseases, in particular those with unknown antigenic triggers. The extreme diversity of the TCR repertoire represents a major analytical challenge; this has led to the development of specialized methods which aim to characterize the TCR repertoire in-depth. Currently, next generation sequencing based technologies are most widely employed for the high-throughput analysis of the immune cell repertoire.

resultsHere, we report on the latest methodological advancements in the field by describing and comparing the available tools; from the choice of the starting material and library preparation method, to the sequencing technologies and data analysis. Finally, we provide a practical example and our own experience by reporting some exemplary results from a small internal benchmark study, where current approaches from the literature and the market are employed and compared.

conclusionsSeveral valid methods for clonotype identification and TCR repertoire analysis exist, however, a gold standard method for the field has not yet been identified. Depending on the purpose of the scientific study, some approaches may be more suitable than others. Finally, due to possible method specific biases, scientists must be careful when comparing results obtained using different methods.

Indexed as

Complementarity Determining RegionsHigh-Throughput Nucleotide SequencingHumansMultiplex Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionT-LymphocytesComplementarity Determining RegionsCDR3ClonotypeImmune repertoireImmunogeneticsImmunogenomicsTarget sequencingT-cell receptor (TCR)TCR profilingTCR repertoireVdj

Identifiers

PMID28693542
PMCPMC5504616
OpenAlexW2728919089

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.