Evidence map›Paper›PMID 27114511›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Large-scale sequence and structural comparisons of human naive and antigen-experienced antibody repertoires.

Brandon J DeKosky, Oana I Lungu, Daechan Park, Erik L Johnson, Wissam Charab, Constantine Chrysostomou, Daisuke Kuroda, Andrew D Ellington, Gregory C Ippolito, Jeffrey J Gray and 1 more

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 139 papers.

0numbers the graph read from it
0cells of the map it votes in
139citing papers in PubMed
23.9field-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

139 citing papers in PubMed, 212 citations in OpenAlex.

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  9. Explore antibody repertoire in the era of AI.Acta biochimica et biophysica Sinica · 2025
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  20. Learning the language of antibody hypervariability.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article

79 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

11 authors at 2 institutions in 1 country.

Brandon J DeKoskyDepartment of Chemical Engineering, University of Texas at Austin, Austin, TX 78712;
Oana I LunguDepartment of Chemical Engineering, University of Texas at Austin, Austin, TX 78712; Department of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712;
Daechan ParkDepartment of Chemical Engineering, University of Texas at Austin, Austin, TX 78712; Department of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712;
Erik L JohnsonDepartment of Chemical Engineering, University of Texas at Austin, Austin, TX 78712;
Wissam CharabDepartment of Chemical Engineering, University of Texas at Austin, Austin, TX 78712;
Constantine ChrysostomouDepartment of Chemical Engineering, University of Texas at Austin, Austin, TX 78712;
Daisuke KurodaDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21218;
Andrew D EllingtonCenter for Systems and Synthetic Biology University of Texas at Austin, Austin, TX 78712;
Gregory C IppolitoDepartment of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712;
Jeffrey J GrayDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21218;
George GeorgiouDepartment of Chemical Engineering, University of Texas at Austin, Austin, TX 78712; Department of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712; Institute for Cell and Molecular Biology, University of Texas at Austin, Austin, TX 78712; Department of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712 gg@che.utexas.edu.
The University of Texas at Austin · USJohns Hopkins University · US

Funding

Prediction of the Structure of Therapeutic Antibodies with their AntigensR01GM078221 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI GRAY, JEFFREY J · 2006 to 2020
$4.0M
IRACDA Postdoctoral Program: Collaborative Opportunities for Research EducatorsK12GM102745 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI BRODBELT, JENNIFER S. · 2013 to 2017
$2.2M
Mechanisms of Norovirus Protective ImmunityR56AI106006 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BARIC, RALPH S · 2014 to 2014
$760k
Discovery of Genotoxic Biomarkers in Urine for CancerR03CA106006 · NCI · NORTHEASTERN UNIVERSITY · PI GIESE, ROGER WALLACE · 2003 to 2004
$157k
NCI NIH HHS R03 CA106006NIAID NIH HHS R56 AI106006NIGMS NIH HHS K12 GM102745NIGMS NIH HHS R01 GM078221
6 · The paper itself

Abstract

Elucidating how antigen exposure and selection shape the human antibody repertoire is fundamental to our understanding of B-cell immunity. We sequenced the paired heavy- and light-chain variable regions (VH and VL, respectively) from large populations of single B cells combined with computational modeling of antibody structures to evaluate sequence and structural features of human antibody repertoires at unprecedented depth. Analysis of a dataset comprising 55,000 antibody clusters from CD19(+)CD20(+)CD27(-) IgM-naive B cells, >120,000 antibody clusters from CD19(+)CD20(+)CD27(+) antigen-experienced B cells, and >2,000 RosettaAntibody-predicted structural models across three healthy donors led to a number of key findings: (i) VH and VL gene sequences pair in a combinatorial fashion without detectable pairing restrictions at the population level; (ii) certain VH:VL gene pairs were significantly enriched or depleted in the antigen-experienced repertoire relative to the naive repertoire; (iii) antigen selection increased antibody paratope net charge and solvent-accessible surface area; and (iv) public heavy-chain third complementarity-determining region (CDR-H3) antibodies in the antigen-experienced repertoire showed signs of convergent paired light-chain genetic signatures, including shared light-chain third complementarity-determining region (CDR-L3) amino acid sequences and/or Vκ,λ-Jκ,λ genes. The data reported here address several longstanding questions regarding antibody repertoire selection and development and provide a benchmark for future repertoire-scale analyses of antibody responses to vaccination and disease.

Indexed as

Amino Acid SequenceAntibodiesAntigen-Antibody ComplexBase SequenceComputer SimulationHigh-Throughput Nucleotide SequencingHigh-Throughput Screening AssaysHumansModels, ChemicalModels, GeneticModels, ImmunologicalSequence AlignmentSequence Homology, Amino AcidAntibodiesAntigen-Antibody ComplexantibodyB cellcomputational modelinghigh-throughput sequencingimmunology

Identifiers

PMID27114511
PMCPMC4868480
OpenAlexW2343191045

What OpenQuestion holds

Textmetadata
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.