Evidence map›Paper›PMID 37066405›Full record

ArticlebioRxiv : the preprint server for biology2023

Validation of a murine proteome-wide phage display library for the identification of autoantibody specificities.

Elze Rackaityte, Irina Proekt, Haleigh S Miller, Akshaya Ramesh, Jeremy F Brooks, Andrew F Kung, Caleigh Mandel-Brehm, David Yu, Colin Zamecnik, Rebecca Bair and 9 more

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 2 institutions in 1 country.

Elze RackaityteDepartment of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA USA.
Irina ProektDiabetes Center, School of Medicine, University of California San Francisco, San Francisco, CA USA.
Haleigh S MillerDepartment of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA USA.
Akshaya RameshWeill Institute for Neurosciences, Department of Neurology, School of Medicine, University of California San Francisco, San Francisco, CA USA.
Jeremy F BrooksDivision of Rheumatology, Rosalind Russell and Ephraim P. Engleman Rheumatology Research Center, Department of Medicine, University of California San Francisco, San Francisco, CA USA.
Andrew F KungDepartment of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA USA.
Caleigh Mandel-BrehmDepartment of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA USA.
David YuDiabetes Center, School of Medicine, University of California San Francisco, San Francisco, CA USA.
Colin ZamecnikWeill Institute for Neurosciences, Department of Neurology, School of Medicine, University of California San Francisco, San Francisco, CA USA.
Rebecca BairWeill Institute for Neurosciences, Department of Neurology, School of Medicine, University of California San Francisco, San Francisco, CA USA.
Sara E VazquezDepartment of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA USA.
Sara SunshineDepartment of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA USA.
Clare L AbramDepartment of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA.
Clifford A LowellDepartment of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA.
Gabrielle RizzutoHuman Oncology & Pathogenesis Program and Department of Pathology & Laboratory Medicine, Memorial Sloan Kettering Cancer Center, NY, NY.
Michael R WilsonWeill Institute for Neurosciences, Department of Neurology, School of Medicine, University of California San Francisco, San Francisco, CA USA.
Julie ZikhermanDivision of Rheumatology, Rosalind Russell and Ephraim P. Engleman Rheumatology Research Center, Department of Medicine, University of California San Francisco, San Francisco, CA USA.
Mark S AndersonDiabetes Center, School of Medicine, University of California San Francisco, San Francisco, CA USA.
Joseph L DeRisiDepartment of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA USA.
University of California, San Francisco · USMemorial Sloan Kettering Cancer Center · US

Funding

Transdisciplinary Research Training to Reduce Disparities in Preterm Birth and Improve Maternal and Neonatal OutcomesT32HD098057 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KUPPERMANN, MIRIAM · 2019 to 2023
$1.4M
Maternal T cell recognition of placental antigenK08AI137209 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RIZZUTO, GABRIELLE A · 2018 to 2022
$1.0M
Molecular understanding of self immunity in the brainK99NS117800 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MANDEL-BREHM, CALEIGH · 2020 to 2021
$211k
NIAID NIH HHS K08 AI137209NICHD NIH HHS T32 HD098057NINDS NIH HHS K99 NS117800
6 · The paper itself

Abstract

Autoimmunity is characterized by loss of tolerance to tissue-specific as well as systemic antigens, resulting in complex autoantibody landscapes. Here, we introduce and extensively validate the performance characteristics of a murine proteome-wide library for phage display immunoprecipitation and sequencing (PhIP-seq), to profile mouse autoantibodies. This system and library were validated using seven genetic mouse models across a spectrum of autoreactivity. Mice deficient in antibody production (

Indexed as

antibody reactivityautoimmunitymouse proteomePhIP-seq

Identifiers

PMID37066405
PMCPMC10104109
OpenAlexW4362720460

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.