Evidence map›Paper›PMID 35360706›Full record

ArticleCell reports methods2022

High-throughput identification of autoantibodies that target the human exoproteome.

Eric Y Wang, Yile Dai, Connor E Rosen, Monica M Schmitt, Mei X Dong, Elise M N Ferré, Feimei Liu, Yi Yang, Jaime A González-Hernández, Eric Meffre and 4 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
9.4field-weighted citation impact, top 1% 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

39 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Mechanisms of B Cell Tolerance in Health and Autoimmunity.Arthritis & rheumatology (Hoboken, N.J.) · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Explore antibody repertoire in the era of AI.Acta biochimica et biophysica Sinica · 2025
    Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. B cell tolerance and autoimmunity: Lessons from repertoires.The Journal of experimental medicine · 2024
    Review
  20. Article
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

14 authors at 2 institutions in 1 country.

Eric Y WangDepartment of Immunobiology, Yale School of Medicine, New Haven, CT 06510, USA.
Yile DaiDepartment of Immunobiology, Yale School of Medicine, New Haven, CT 06510, USA.
Connor E RosenDepartment of Immunobiology, Yale School of Medicine, New Haven, CT 06510, USA.
Monica M SchmittFungal Pathogenesis Section, Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy & Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Mei X DongDepartment of Internal Medicine, Yale School of Medicine, New Haven, CT 06510, USA.
Elise M N FerréFungal Pathogenesis Section, Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy & Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Feimei LiuDepartment of Immunobiology, Yale School of Medicine, New Haven, CT 06510, USA.
Yi YangDepartment of Immunobiology, Yale School of Medicine, New Haven, CT 06510, USA.
Jaime A González-HernándezDepartment of Immunobiology, Yale School of Medicine, New Haven, CT 06510, USA.
Eric MeffreDepartment of Immunobiology, Yale School of Medicine, New Haven, CT 06510, USA.
Monique HinchcliffDepartment of Internal Medicine, Yale School of Medicine, New Haven, CT 06510, USA.
Fotios KoumpourasDepartment of Internal Medicine, Yale School of Medicine, New Haven, CT 06510, USA.
Michail S LionakisFungal Pathogenesis Section, Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy & Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Aaron M RingDepartment of Immunobiology, Yale School of Medicine, New Haven, CT 06510, USA.
Yale University · USNational Institutes of Health · US

Funding

Yale Pathology Tissue Services Shared ResourceP30CA016359 · NCI · YALE UNIVERSITY · PI MEGAN C KING · 1985 to 2026
$85.0M
Immunopathogenesis of Fungal InfectionsZIAAI001175 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI LIONAKIS, MICHAIL · 2012 to 2025
$23.9M
Uncoupling pleiotropy in the LIGHT/HVEM/LTBetaR signaling networkDP5OD023088 · OD · YALE UNIVERSITY · PI RING, AARON MICHAEL · 2016 to 2020
$2.1M
NCI NIH HHS P30 CA016359NIH HHS DP5 OD023088
6 · The paper itself

Abstract

Autoantibodies that recognize extracellular proteins (the exoproteome) exert potent biological effects but are challenging to detect. Here, we developed rapid extracellular antigen profiling (REAP), a high-throughput technique for the comprehensive discovery of exoproteome-targeting autoantibodies. Patient samples are applied to a genetically barcoded yeast surface display library containing 2,688 human extracellular proteins. Antibody-coated yeast are isolated, and sequencing of barcodes is used to identify displayed antigens. To benchmark REAP's performance, we screened 77 patients with autoimmune polyglandular syndrome type 1 (APS-1). REAP sensitively and specifically detected both known and previously unidentified autoantibodies in APS-1. We further screened 106 patients with systemic lupus erythematosus (SLE) and identified numerous autoantibodies, several of which were associated with disease severity or specific clinical manifestations and exerted functional effects on cell signaling

Indexed as

Lupus Erythematosus, SystemicPolyendocrinopathies, AutoimmuneAutoantibodiesAutoantigensHumansPatient AcuitySaccharomyces cerevisiaeAutoantibodiesAutoantigens

Identifiers

PMID35360706
PMCPMC8967185
OpenAlexW4213105197

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.