Evidence map›Paper›PMID 28264647›Full record

ArticleBMC bioinformatics2017

The Repertoire Dissimilarity Index as a method to compare lymphocyte receptor repertoires.

Christopher R Bolen, Florian Rubelt, Jason A Vander Heiden, Mark M Davis

Abstract read
In one paragraph

Article in BMC bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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  18. Methods for sequence and structural analysis of B and T cell receptor repertoires.Computational and structural biotechnology journal · 2020
    Review
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  20. 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

4 authors.

Christopher R BolenDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, 94305, CA, USA.ORCID http://orcid.org/0000-0003-2270-5565
Florian RubeltDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, 94305, CA, USA.
Jason A Vander HeidenInterdepartmental Program in Computational Biology and Bioinformatics, Department of Computational Biology & Bioinformatics, Yale University, New Haven, 06520, CT, USA.
Mark M DavisDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, 94305, CA, USA. mmdavis@stanford.edu.

Funding

Using a tonsil organoid system to probe conditions for the induction of protective antibody and T cell responses to influenza.U19AI057229 · NIAID · STANFORD UNIVERSITY · PI Mark Morris Davis · 2003 to 2026
$88.5M
MOLECULAR &CELLULAR IMMUNOBIOLOGYT32AI007290 · NIAID · STANFORD UNIVERSITY · PI Sean Curtis Bendall, Olivia M Martinez · 1985 to 2026
$27.0M
Stanford Center for Clinical and Translational Education and Research (SCCTER)UL1UL1RR025744 · NCRR · STANFORD UNIVERSITY · PI GREENBERG, HARRY BERNARD · 2008 to 2011
$22.4M
MEDICAL INFORMATICS RESEARCH TRAINING AT YALET15LM007056 · NLM · YALE UNIVERSITY · PI Mark Bender Gerstein, LUCILA OHNO-MACHADO · 1987 to 2026
$22.2M
Vaccination and infection: indicators of immunological health and responsivenessU19AI090019 · NIAID · STANFORD UNIVERSITY · PI DAVIS, MARK MORRIS · 2010 to 2015
$17.3M
NCRR NIH HHS UL1 RR025744NIAID NIH HHS HHSN272201200028CNIAID NIH HHS T32 AI007290NIAID NIH HHS U19 AI057229NIAID NIH HHS U19 AI090019NLM NIH HHS T15 LM007056
6 · The paper itself

Abstract

backgroundThe B and T cells of the human adaptive immune system leverage a highly diverse repertoire of antigen-specific receptors to protect the human body from pathogens. The sequencing and analysis of immune repertoires is emerging as an important tool to understand immune responses, whether beneficial or harmful (in the case of autoimmunity). However, methods for studying these repertoires, and for directly comparing different immune repertoires, are lacking.

resultsIn this paper, we present a non-parametric method for directly comparing sequencing repertoires, with the goal of rigorously quantifying differences in V, D, and J gene segment utilization. This method, referred to as the Repertoire Dissimilarity Index (RDI), uses a bootstrapped subsampling approach to account for variance in sequencing depth, and, coupled with a data simulation approach, allows for direct quantification of the average variation between repertoires. We use the RDI method to recapitulate known differences in the formation of the CD4

conclusionsWe prove that the RDI method is an accurate and versatile method for comparisons of immune repertoires. The RDI method has been implemented as an R package, and is available for download through Bitbucket.

Indexed as

AlgorithmsBase SequenceCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesGene Rearrangement, T-LymphocyteGenetic VariationHumansReceptors, Antigen, T-CellSequence Analysis, RNAV(D)J RecombinationReceptors, Antigen, T-CellImmunologyNonparametric methodsRepertoire sequencing

Identifiers

PMID28264647
PMCPMC5340033

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.