Evidence map›Paper›PMID 39580804›Full record

ArticleCell reports2024

Modulating the immunodominance hierarchy of immunoglobulin germline-encoded structural motifs targeting the influenza hemagglutinin stem.

Sila Ataca, Maya Sangesland, Rebeca de Paiva Fróes Rocha, Alba Torrents de la Peña, Larance Ronsard, Seyhan Boyoglu-Barnum, Rebecca A Gillespie, Yaroslav Tsybovsky, Tyler Stephens, Syed M Moin and 10 more

Abstract read
In one paragraph

Article in Cell reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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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

20 authors.

Sila AtacaVaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Maya SangeslandRagon Institute of MGH, MIT and Harvard, Cambridge, MA 02139, USA.
Rebeca de Paiva Fróes RochaThe Scripps Research Institute, La Jolla, CA 92037, USA.
Alba Torrents de la PeñaThe Scripps Research Institute, La Jolla, CA 92037, USA.
Larance RonsardRagon Institute of MGH, MIT and Harvard, Cambridge, MA 02139, USA.
Seyhan Boyoglu-BarnumVaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Rebecca A GillespieVaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Yaroslav TsybovskyVaccine Research Center Electron Microscopy Unit, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD 20701, USA.
Tyler StephensVaccine Research Center Electron Microscopy Unit, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD 20701, USA.
Syed M MoinVaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Julia LederhoferVaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Adrian CreangaVaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Sarah F AndrewsVaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Ralston M BarnesBristol-Myers Squibb, Redwood City, CA 94063, USA.
Daniel RohrerBristol-Myers Squibb, Redwood City, CA 94063, USA.
Nils LonbergBristol-Myers Squibb, Redwood City, CA 94063, USA.
Barney S GrahamVaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Andrew B WardThe Scripps Research Institute, La Jolla, CA 92037, USA.
Daniel LingwoodRagon Institute of MGH, MIT and Harvard, Cambridge, MA 02139, USA.
Masaru KanekiyoVaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA. Electronic address: kanekiyom@nih.gov.

Funding

Innate-like BCR activity as a template for universal vaccination against influenza virusR01AI137057 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI CHACKERIAN, BRYCE C, LINGWOOD, DANIEL · 2018 to 2022
$2.6M
Triggering germline-encoded broadly neutralizing antibody responses against influenza virusR01AI153098 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI BATISTA, FACUNDO DAMIAN, LINGWOOD, DANIEL · 2020 to 2023
$2.1M
Systemic coordination of pro-inflammatory immune reactions through dendritic cell-restricted sIL6R biogenesisR01AI155447 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI LINGWOOD, DANIEL · 2021 to 2025
$2.0M
CCR NIH HHS HHSN261200800001CGates Foundation INV-004923NCI NIH HHS HHSN261200800001ENIAID NIH HHS R01 AI137057NIAID NIH HHS R01 AI153098NIAID NIH HHS R01 AI155447
6 · The paper itself

Abstract

Antibodies targeting epitopes through germline-encoded motifs can be found in different individuals. While these public antibodies are often beneficial, they also pose hurdles for subdominant antibodies to emerge. Here, we use transgenic mice that reproduce the human IGHV1-69

Indexed as

Hemagglutinin Glycoproteins, Influenza VirusMice, TransgenicAmino Acid MotifsAnimalsAntibodies, NeutralizingAntibodies, ViralCross ReactionsGerm CellsHumansImmunodominant EpitopesInfluenza A virusInfluenza VaccinesMiceOrthomyxoviridae InfectionsAntibodies, NeutralizingAntibodies, ViralHemagglutinin Glycoproteins, Influenza VirusImmunodominant EpitopesInfluenza VaccinesB cellbnAbbroadly neutralizing antibodyCP: Immunologygermline-targetingHA stemhemagglutininIGHD3-9IGHV1-69influenza virusnanoparticle

Identifiers

PMID39580804
PMCPMC11672684

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Registered trials

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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.