Evidence map›Paper›PMID 35325595›Full record

ArticleCell2022

Facile discovery of surrogate cytokine agonists.

Michelle Yen, Junming Ren, Qingxiang Liu, Caleb R Glassman, Timothy P Sheahan, Lora K Picton, Fernando R Moreira, Arjun Rustagi, Kevin M Jude, Xiang Zhao and 4 more

Open access · greenAbstract read
In one paragraph

Article in Cell, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
5.8field-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

56 citing papers in PubMed, 74 citations in OpenAlex.

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  15. Tuning of G-CSFR signaling by de novo-designed agonists.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 4 institutions in 1 country.

Michelle YenDepartments of Molecular and Cellular Physiology, and Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA.
Junming RenDepartments of Molecular and Cellular Physiology, and Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA.
Qingxiang LiuDepartments of Molecular and Cellular Physiology, and Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA.
Caleb R GlassmanDepartments of Molecular and Cellular Physiology, and Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA.
Timothy P SheahanDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Lora K PictonDepartments of Molecular and Cellular Physiology, and Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA.
Fernando R MoreiraDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Arjun RustagiDepartment of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
Kevin M JudeDepartments of Molecular and Cellular Physiology, and Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA.
Xiang ZhaoDepartments of Molecular and Cellular Physiology, and Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA.
Catherine A BlishDepartment of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA.
Ralph S BaricDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Leon L SuDepartments of Molecular and Cellular Physiology, and Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA.
K Christopher GarciaDepartments of Molecular and Cellular Physiology, and Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA. Electronic address: kcgarcia@stanford.edu.
Howard Hughes Medical Institute · USUniversity of North Carolina at Chapel Hill · USChan Zuckerberg Initiative (United States) · USStanford University · US

Funding

A Synchrotron Radiation Structural Biology ResourcesP30GM133894 · NIGMS · STANFORD UNIVERSITY · PI Ritimukta Sarangi · 2020 to 2026
$43.3M
MOLECULAR &CELLULAR IMMUNOBIOLOGYT32AI007290 · NIAID · STANFORD UNIVERSITY · PI Sean Curtis Bendall, Olivia M Martinez · 1985 to 2026
$27.0M
Broad-spectrum antiviral GS-5734 to treat MERS-CoV and related emerging CoVR01AI132178 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BARIC, RALPH S, SHEAHAN, TIMOTHY PATRICK · 2017 to 2021
$7.0M
EMERGING INFECTIOUS DISEASEST32AI007502 · NIAID · STANFORD UNIVERSITY · PI Prasanna Jagannathan, DAVID A. RELMAN · 1995 to 2026
$6.8M
Training Program in Adult and Pediatric RheumatologyT32AR050942 · NIAMS · STANFORD UNIVERSITY · PI LEWIS, DAVID BRAM, ROBINSON, WILLIAM H · 2005 to 2025
$6.6M
Structure-based engineering of immune cytokine signalingR01AI051321 · NIAID · STANFORD UNIVERSITY · PI Kenan Christopher GARCIA · 2002 to 2026
$5.6M
Structure, function and engineering of immune cytokine receptor signalingR37AI051321 · NIAID · STANFORD UNIVERSITY · PI GARCIA, KENAN CHRISTOPHER · 2013 to 2022
$4.2M
NIAID NIH HHS R01 AI051321NIAID NIH HHS R01 AI132178NIAID NIH HHS R37 AI051321NIAID NIH HHS T32 AI007290NIAID NIH HHS T32 AI007502NIAMS NIH HHS T32 AR050942NIGMS NIH HHS P30 GM133894
6 · The paper itself

Abstract

Cytokines are powerful immune modulators that initiate signaling through receptor dimerization, but natural cytokines have structural limitations as therapeutics. We present a strategy to discover cytokine surrogate agonists by using modular ligands that exploit induced proximity and receptor dimer geometry as pharmacological metrics amenable to high-throughput screening. Using VHH and scFv to human interleukin-2/15, type-I interferon, and interleukin-10 receptors, we generated combinatorial matrices of single-chain bispecific ligands that exhibited diverse spectrums of functional activities, including potent inhibition of SARS-CoV-2 by surrogate interferons. Crystal structures of IL-2R:VHH complexes revealed that variation in receptor dimer geometries resulted in functionally diverse signaling outputs. This modular platform enabled engineering of surrogate ligands that compelled assembly of an IL-2R/IL-10R heterodimer, which does not naturally exist, that signaled through pSTAT5 on T and natural killer (NK) cells. This "cytokine med-chem" approach, rooted in principles of induced proximity, is generalizable for discovery of diversified agonists for many ligand-receptor systems.

Indexed as

COVID-19CytokinesHumansInterleukin-2Killer Cells, NaturalLigandsReceptors, Interleukin-10SARS-CoV-2CytokinesInterleukin-2LigandsReceptors, Interleukin-10bispecific antibodiescell signalingcytokine engineeringinterferoninterleukin-10interleukin-2SARS-CoV-2scFvVHH

Identifiers

PMID35325595
PMCPMC9021867
OpenAlexW4220832917

What OpenQuestion holds

Textmetadata
LicenceTDM
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.