Evidence map›Paper›PMID 31820734›Full record

ArticleeLife2019

Broadly neutralizing human antibodies against dengue virus identified by single B cell transcriptomics.

Natasha D Durham, Aditi Agrawal, Eric Waltari, Derek Croote, Fabio Zanini, Mallorie Fouch, Edgar Davidson, Olivia Smith, Esteban Carabajal, John E Pak and 9 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
7.1field-weighted citation impact, top 3% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 76 citations in OpenAlex.

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  9. Retrospective SARS-CoV-2 human antibody development trajectories are largely sparse and permissive.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

19 authors at 7 institutions in 3 countries.

Natasha D Durham *Chan Zuckerberg Biohub, San Francisco, United States.
Aditi Agrawal *Chan Zuckerberg Biohub, San Francisco, United States.
Eric WaltariChan Zuckerberg Biohub, San Francisco, United States.
Derek CrooteDepartment of Bioengineering, Stanford University, Stanford, United States.ORCID 0000-0003-4907-1865
Fabio ZaniniDepartment of Bioengineering, Stanford University, Stanford, United States.ORCID 0000-0001-7097-8539
Mallorie FouchIntegral Molecular, Inc, Philadelphia, United States.
Edgar DavidsonIntegral Molecular, Inc, Philadelphia, United States.
Olivia SmithChan Zuckerberg Biohub, San Francisco, United States.
Esteban CarabajalChan Zuckerberg Biohub, San Francisco, United States.
John E PakChan Zuckerberg Biohub, San Francisco, United States.
Benjamin J DoranzIntegral Molecular, Inc, Philadelphia, United States.
Makeda RobinsonDivision of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, United States.
Ana M SanzClinical Research Center, Fundación Valle del Lili, Cali, Colombia.
Ludwig L AlbornozPathology and Laboratory Department, Fundación Valle del Lili, Cali, Colombia.
Fernando RossoClinical Research Center, Fundación Valle del Lili, Cali, Colombia.
Shirit EinavDivision of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, United States.ORCID 0000-0001-6441-4171
Stephen R QuakeChan Zuckerberg Biohub, San Francisco, United States.ORCID 0000-0002-1613-0809
Krista M McCutcheonChan Zuckerberg Biohub, San Francisco, United States.
Leslie GooChan Zuckerberg Biohub, San Francisco, United States.ORCID 0000-0002-3866-6735
Chan Zuckerberg Initiative (United States) · USFundación Valle del Lili · COIntegral Molecular (United States) · USStanford University · USFred Hutch Cancer Center · USUniversity of Massachusetts Chan Medical School · USUNSW Sydney · AU

Funding

Resource for Biocomputing Visualization and InformaticsP41GM103311 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERRIN, THOMAS E · 2012 to 2017
$8.2M
NIAID NIH HHS HHSN272201400058CNIGMS NIH HHS P41 GM103311NIH HHS HHSN272201400058C
6 · The paper itself

Abstract

Eliciting broadly neutralizing antibodies (bNAbs) against the four dengue virus serotypes (DENV1-4) that are spreading into new territories is an important goal of vaccine design. To define bNAb targets, we characterized 28 antibodies belonging to expanded and hypermutated clonal families identified by transcriptomic analysis of single plasmablasts from DENV-infected individuals. Among these, we identified J9 and J8, two somatically related bNAbs that potently neutralized DENV1-4. Mutagenesis studies showed that the major recognition determinants of these bNAbs are in E protein domain I, distinct from the only known class of human bNAbs against DENV with a well-defined epitope. B cell repertoire analysis from acute-phase peripheral blood suggested that J9 and J8 followed divergent somatic hypermutation pathways, and that a limited number of mutations was sufficient for neutralizing activity. Our study suggests multiple B cell evolutionary pathways leading to DENV bNAbs targeting a new epitope that can be exploited for vaccine design.

Indexed as

Gene Expression ProfilingAntibodies, NeutralizingAntibodies, ViralB-LymphocytesDengueDengue VirusDNA Mutational AnalysisHumansProtein BindingViral Envelope ProteinsAntibodies, NeutralizingAntibodies, ViralViral Envelope ProteinsB cell repertoiredengue virusflavivirushumanimmunologyinfectious diseaseinflammationmicrobiologyneutralizing antibodiessingle cell transcriptomicsvirus

Identifiers

PMID31820734
PMCPMC6927745
OpenAlexW2995152312

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.