Evidence map›Paper›PMID 37327779›Full record

ArticleCell host & microbe2023

Mapping the neutralizing specificity of human anti-HIV serum by deep mutational scanning.

Caelan E Radford, Philipp Schommers, Lutz Gieselmann, Katharine H D Crawford, Bernadeta Dadonaite, Timothy C Yu, Adam S Dingens, Julie Overbaugh, Florian Klein, Jesse D Bloom

Open access · hybridAbstract read
In one paragraph

Article in Cell host & microbe, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 29 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Caelan E RadfordMolecular and Cellular Biology Graduate Program, University of Washington and Basic Sciences Division, Fred Hutch Cancer Center, Seattle, WA 98109, USA; Basic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
Philipp SchommersLaboratory of Experimental Immunology, Institute of Virology, Faculty of Medicine and University Hospital of Cologne, University of Cologne, 50931 Cologne, Germany; German Center for Infection Research, partner site Bonn-Cologne, 50931 Cologne, Germany; Department I of Internal Medicine, Faculty of Medicine and University Hospital of Cologne, University of Cologne, 50931 Cologne, Germany.
Lutz GieselmannLaboratory of Experimental Immunology, Institute of Virology, Faculty of Medicine and University Hospital of Cologne, University of Cologne, 50931 Cologne, Germany; German Center for Infection Research, partner site Bonn-Cologne, 50931 Cologne, Germany; Department I of Internal Medicine, Faculty of Medicine and University Hospital of Cologne, University of Cologne, 50931 Cologne, Germany.
Katharine H D CrawfordBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; Department of Genome Sciences & Medical Scientist Training Program, University of Washington, Seattle, WA 98109, USA.
Bernadeta DadonaiteBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
Timothy C YuMolecular and Cellular Biology Graduate Program, University of Washington and Basic Sciences Division, Fred Hutch Cancer Center, Seattle, WA 98109, USA; Basic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
Adam S DingensBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
Julie OverbaughDivision of Human Biology, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
Florian KleinLaboratory of Experimental Immunology, Institute of Virology, Faculty of Medicine and University Hospital of Cologne, University of Cologne, 50931 Cologne, Germany; German Center for Infection Research, partner site Bonn-Cologne, 50931 Cologne, Germany; Department I of Internal Medicine, Faculty of Medicine and University Hospital of Cologne, University of Cologne, 50931 Cologne, Germany.
Jesse D BloomBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; Howard Hughes Medical Institute, Seattle, WA 98109, USA. Electronic address: jbloom@fredhutch.org.
Fred Hutch Cancer Center · USUniversity of Cologne · DEUniversity of Washington · USHoward Hughes Medical Institute · US

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
TRAINING IN MOLECULAR AND CELLULAR BIOLOGYT32GM007270 · NIGMS · UNIVERSITY OF WASHINGTON · PI RAIBLE, DAVID W · 1985 to 2020
$21.0M
Defining the mechanisms of HIV resistance to bNAbs in humansU01AI169385 · NIAID · ROCKEFELLER UNIVERSITY · PI Marina Caskey · 2022 to 2026
$7.8M
Training in Cellular & Molecular BiologyT32GM136534 · NIGMS · UNIVERSITY OF WASHINGTON · PI Andrew Atwell Oberst, LARRY S ZWEIFEL · 2021 to 2026
$5.8M
Viral Pathogenesis Training ProgramT32AI083203 · NIAID · UNIVERSITY OF WASHINGTON · PI BLOOM, JESSE D, LAGUNOFF, MICHAEL · 2009 to 2023
$2.7M
Complete mapping of immune selection from antibodies to HIVR01AI140891 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BLOOM, JESSE D · 2019 to 2024
$2.4M
Prospectively characterizing the functional and antigenic effects of mutations to viral entry proteinsR01AI141707 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BLOOM, JESSE D · 2018 to 2022
$2.1M
High-Performance Compute Cluster for Comprehensive Cancer and Infectious Diseases ResearchS10OD028685 · OD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRADLEY, PHILIP · 2020 to 2020
$2.0M
FHCRC High-Performance Computing ClusterS10OD020069 · OD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI KOOPERBERG, CHARLES L · 2015 to 2015
$600k
Complete mapping of the functional and antigenic effects of mutations to Lassa virus glycoproteinF30AI149928 · NIAID · UNIVERSITY OF WASHINGTON · PI CRAWFORD, KATHARINE HOLT DUSENBURY · 2020 to 2021
$91k
NCI NIH HHS P30 CA015704NIAID NIH HHS F30 AI149928NIAID NIH HHS R01 AI140891NIAID NIH HHS R01 AI141707NIAID NIH HHS T32 AI083203NIAID NIH HHS U01 AI169385NIGMS NIH HHS T32 GM007270NIGMS NIH HHS T32 GM136534NIH HHS S10 OD020069NIH HHS S10 OD028685
6 · The paper itself

Abstract

Understanding the specificities of human serum antibodies that broadly neutralize HIV can inform prevention and treatment strategies. Here, we describe a deep mutational scanning system that can measure the effects of combinations of mutations to HIV envelope (Env) on neutralization by antibodies and polyclonal serum. We first show that this system can accurately map how all functionally tolerated mutations to Env affect neutralization by monoclonal antibodies. We then comprehensively map Env mutations that affect neutralization by a set of human polyclonal sera that neutralize diverse strains of HIV and target the site engaging the host receptor CD4. The neutralizing activities of these sera target different epitopes, with most sera having specificities reminiscent of individual characterized monoclonal antibodies, but one serum targeting two epitopes within the CD4-binding site. Mapping the specificity of the neutralizing activity in polyclonal human serum will aid in assessing anti-HIV immune responses to inform prevention strategies.

Indexed as

HIV-1HIV InfectionsAntibodies, MonoclonalAntibodies, Neutralizingenv Gene Products, Human Immunodeficiency VirusEpitopesHIV AntibodiesHIV Envelope Protein gp120HumansMutationAntibodies, MonoclonalAntibodies, Neutralizingenv Gene Products, Human Immunodeficiency VirusEpitopesHIV AntibodiesHIV Envelope Protein gp1201–18CD4 binding sitedeep mutational scanningHIVHIV envelopemutational antigenic profilingN276 glycan

Identifiers

PMID37327779
PMCPMC10351223
OpenAlexW4380853304

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.