Evidence map›Paper›PMID 33299994›Full record

ArticlebioRxiv : the preprint server for biology2020

Designed proteins assemble antibodies into modular nanocages.

Robby Divine, Ha V Dang, George Ueda, Jorge A Fallas, Ivan Vulovic, William Sheffler, Shally Saini, Yan Ting Zhao, Infencia Xavier Raj, Peter A Morawski and 20 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Cancer and COVID-19: Why are cancer patients more susceptible to COVID-19?Medical oncology (Northwood, London, England) · 2021
    Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

30 authors at 5 institutions in 2 countries.

Robby DivineDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA.
Ha V DangDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA.
George UedaDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA.
Jorge A FallasDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA.
Ivan VulovicDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA.
William ShefflerInstitute for Protein Design, University of Washington, Seattle, WA 98195, USA.
Shally SainiDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA.
Yan Ting ZhaoDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA.
Infencia Xavier RajDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA.
Peter A MorawskiBenaroya Research Institute, Seattle, WA 98101, USA.
Madeleine F JenneweinFred Hutchinson Cancer Research Center, Vaccines and Infectious Diseases Division, Seattle, WA, USA.
Leah J HomadFred Hutchinson Cancer Research Center, Vaccines and Infectious Diseases Division, Seattle, WA, USA.
Yu-Hsin WanFred Hutchinson Cancer Research Center, Vaccines and Infectious Diseases Division, Seattle, WA, USA.
Marti R TooleyInstitute for Protein Design, University of Washington, Seattle, WA 98195, USA.
Franzika SeegerDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA.
Ali EtemadiInstitute for Protein Design, University of Washington, Seattle, WA 98195, USA.
Mitchell L FahningBenaroya Research Institute, Seattle, WA 98101, USA.
James LazarovitsDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA.
Alex RoedererInstitute for Protein Design, University of Washington, Seattle, WA 98195, USA.
Alexandra C WallsDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA.
Lance StewartInstitute for Protein Design, University of Washington, Seattle, WA 98195, USA.
Mohammadali MazloomiMedical Biotechnology Department, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Neil P KingDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA.
Daniel J CampbellBenaroya Research Institute, Seattle, WA 98101, USA.
Andrew T McGuireFred Hutchinson Cancer Research Center, Vaccines and Infectious Diseases Division, Seattle, WA, USA.
Leonidas StamatatosFred Hutchinson Cancer Research Center, Vaccines and Infectious Diseases Division, Seattle, WA, USA.
Hannele Ruohola-BakerDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA.
Julie MathieuInstitute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98109, USA.
David VeeslerDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA.
David BakerDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA.
University of Washington · USBenaroya Research InstituteFred Hutch Cancer Center · USHoward Hughes Medical Institute · USTehran University of Medical Sciences · IR

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
User Training and OutreachP30GM124169 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI PAUL David ADAMS, Gregory L Hura · 2017 to 2026
$28.6M
Comprehensive Training in Inter-Disciplinary Oral Health ResearchT90DE021984 · NIDCR · UNIVERSITY OF WASHINGTON · PI Robert Aaron Cornell · 2012 to 2026
$7.9M
Unraveling the bat humoral immune response against zoonotic viruses to guide the design of next-generation therapeuticsDP1AI158186 · NIAID · UNIVERSITY OF WASHINGTON · PI VEESLER, DAVID · 2020 to 2024
$5.4M
Regulation of cutaneous immunity and tissue-repair by a specialized population of CD4+ T cellsR01AI127726 · NIAID · BENAROYA RESEARCH INST AT VIRGINIA MASON · PI CAMPBELL, DANIEL J, GRATZ, IRIS KARINA · 2017 to 2021
$2.8M
MINOS (Macromolecular Insights on Nucleic acids Optimized by Scattering)R01GM105404 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI TAINER, JOHN A. · 2012 to 2015
$2.1M
Structural Studies of Coronavirus Fusion ProteinsR01GM120553 · NIGMS · UNIVERSITY OF WASHINGTON · PI VEESLER, DAVID · 2016 to 2020
$1.7M
NCI NIH HHS P30 CA015704NIAID NIH HHS DP1 AI158186NIAID NIH HHS HHSN272201700059CNIAID NIH HHS R01 AI127726NIDCR NIH HHS T90 DE021984NIGMS NIH HHS P30 GM124169NIGMS NIH HHS R01 GM105404NIGMS NIH HHS R01 GM120553
6 · The paper itself

Abstract

Antibodies are widely used in biology and medicine, and there has been considerable interest in multivalent antibody formats to increase binding avidity and enhance signaling pathway agonism. However, there are currently no general approaches for forming precisely oriented antibody assemblies with controlled valency. We describe the computational design of two-component nanocages that overcome this limitation by uniting form and function. One structural component is any antibody or Fc fusion and the second is a designed Fc-binding homo-oligomer that drives nanocage assembly. Structures of 8 antibody nanocages determined by electron microscopy spanning dihedral, tetrahedral, octahedral, and icosahedral architectures with 2, 6, 12, and 30 antibodies per nanocage match the corresponding computational models. Antibody nanocages targeting cell-surface receptors enhance signaling compared to free antibodies or Fc-fusions in DR5-mediated apoptosis, Tie2-mediated angiogenesis, CD40 activation, and T cell proliferation; nanocage assembly also increases SARS-CoV-2 pseudovirus neutralization by α-SARS-CoV-2 monoclonal antibodies and Fc-ACE2 fusion proteins. We anticipate that the ability to assemble arbitrary antibodies without need for covalent modification into highly ordered assemblies with different geometries and valencies will have broad impact in biology and medicine.

Identifiers

PMID33299994
PMCPMC7724662
OpenAlexW3108131717

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.