Evidence map›Paper›PMID 26194754›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2015

Assigning and visualizing germline genes in antibody repertoires.

Simon D W Frost, Ben Murrell, A S Md Mukarram Hossain, Gregg J Silverman, Sergei L Kosakovsky Pond

Abstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2015. 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
–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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. How repertoire data are changing antibody science.The Journal of biological chemistry · 2020
    Review
  4. Article
  5. Article
  6. Analyzing Immunoglobulin Repertoires.Frontiers in immunology · 2018
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. The evolution within us.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015
    Review
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.

Simon D W FrostDepartment of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, Cambridgeshire CB3 0ES, UK.ORCID http://orcid.org/0000-0002-5207-9879
Ben MurrellDepartment of Medicine, University of California, San Diego, La Jolla, CA 92093, USA.
A S Md Mukarram HossainDepartment of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, Cambridgeshire CB3 0ES, UK.
Gregg J SilvermanDepartment of Medicine, New York University School of Medicine, New York, NY 10016, USA Department of Pathology, New York University School of Medicine, New York, NY 10016, USA.
Sergei L Kosakovsky PondDepartment of Medicine, University of California, San Diego, La Jolla, CA 92093, USA spond@ucsd.edu.

Funding

VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Maile Ann Young Karris · 1994 to 2026
$78.4M
RESEARCH TRAINING-MEDICAL INFORMATICS 90T15LM007092 · NLM · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Nils Gehlenborg · 1992 to 2026
$32.8M
iDASH: Integrating Data for Analysis, Anonymization, and SharingU54HL108460 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI OHNO-MACHADO, LUCILA · 2010 to 2015
$19.1M
Viral correlates of neutralizing antibody responseU19AI090970 · NIAID · INTERNATIONAL AIDS VACCINE INITIATIVE · PI POIGNARD, PASCAL · 2010 to 2014
$9.3M
Molecular Epidemiology for HIV Prevention for Drug Users and Other Risk Groups DP1DA034978 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SMITH, DAVID MITCHELL · 2012 to 2016
$4.1M
A Multi-Site Investigation into the Effect of HIV Clade on Neurocognitive ImpairmR01MH083552 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SMITH, DAVID MITCHELL · 2008 to 2012
$3.3M
Modeling Epidemic Infectious Diseases Using Sequence AnalysisU01GM110749 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI POND, SERGEI L KOSAKOVSKY · 2014 to 2018
$3.0M
HyPhy: Molecular Evolutionary AnalysesR01GM093939 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI MUSE, SPENCER V., POND, SERGEI L KOSAKOVSKY · 2010 to 2018
$2.5M
B CELL SUPERANTIGENS AND IMMUNE REGULATIONR01AI040305 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SILVERMAN, GREGG JOSHUA · 1998 to 2008
$2.4M
Cell Death and Antibody-Mediated Protection from AutoimmunityR01AI068063 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SILVERMAN, GREGG JOSHUA · 2006 to 2010
$2.1M
Lupus and the inhibitory dual receptor hypothesisR01AI090118 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SILVERMAN, GREGG JOSHUA · 2010 to 2014
$2.0M
Effects of Host and Viral Aging on NeurocognitionR01MH097520 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SMITH, DAVID MITCHELL · 2012 to 2016
$2.0M
Medical Research Council MR/J013862/1NHLBI NIH HHS HL108460NIAID NIH HHS AI100665NIAID NIH HHS AI110181NIAID NIH HHS AI36214NIAID NIH HHS AI40305NIAID NIH HHS AI68063NIAID NIH HHS AI90118NIAID NIH HHS AI90970NIDA NIH HHS DA34978NIDA NIH HHS DP1 DA034978NIGMS NIH HHS GM110749NIGMS NIH HHS GM93939NIGMS NIH HHS R01 GM093939NIGMS NIH HHS U01 GM110749NIMH NIH HHS MH83552NIMH NIH HHS MH97520NLM NIH HHS LM7092PHS HHS N272201400019C
6 · The paper itself

Abstract

Identifying the germline genes involved in immunoglobulin rearrangements is an essential first step in the analysis of antibody repertoires. Based on our prior work in analysing diverse recombinant viruses, we present IgSCUEAL (Immunoglobulin Subtype Classification Using Evolutionary ALgorithms), a phylogenetic approach to assign V and J regions of immunoglobulin sequences to their corresponding germline alleles, with D regions assigned using a simple pairwise alignment algorithm. We also develop an interactive web application for viewing the results, allowing the user to explore the frequency distribution of sequence assignments and CDR3 region length statistics, which is useful for summarizing repertoires, as well as a detailed viewer of rearrangements and region alignments for individual query sequences. We demonstrate the accuracy and utility of our method compared with sequence similarity-based approaches and other non-phylogenetic model-based approaches, using both simulated data and a set of evaluation datasets of human immunoglobulin heavy chain sequences. IgSCUEAL demonstrates the highest accuracy of V and J assignment amongst existing approaches, even when the reassorted sequence is highly mutated, and can successfully cluster sequences on the basis of shared V/J germline alleles.

Indexed as

AlgorithmsAntibody DiversityComputer SimulationDatabases, GeneticGene Rearrangement, B-LymphocyteHumansImmunoglobulin Heavy ChainsModels, GeneticModels, ImmunologicalPhylogenySequence AlignmentV(D)J RecombinationImmunoglobulin Heavy ChainsclassificationIgSCUEALimmunoglobulinphylogenetic modelsV(D)J rearrangementsvisualization

Identifiers

PMID26194754
PMCPMC4528417

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.