Evidence map›Paper›PMID 39689694›Full record

ArticleCell reports methods2024

Expanding the landscape of antibody discovery.

Shelbe Johnson, Brandon J DeKosky

Abstract readComment
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell reports methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Shelbe JohnsonDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA; The Ragon Institute of Mass General, MIT, and Harvard, Cambridge, MA, USA.
Brandon J DeKoskyDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA; The Ragon Institute of Mass General, MIT, and Harvard, Cambridge, MA, USA; The Koch Institute for Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. Electronic address: dekosky@mit.edu.

Funding

Dissecting the mechanisms of HIV resistance in vivo to broadly neutralizing antibodiesU01AI169587 · NIAID · UNIVERSITY OF MINNESOTA · PI Priyamvada Acharya, Brandon James DeKosky · 2022 to 2026
$7.8M
Potent broadly neutralizing antibody development against the HIV-1 fusion peptide epitopeR01AI181684 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Brandon James DeKosky · 2023 to 2026
$3.0M
MATCHMAKERS - Solving T-cell receptor recognition and design via integrated high-throughput screening and structural, functional and computational approachesOT2CA297514 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Brandon James DeKosky · 2024 to 2026
$964k
Rapid antibody screening systems to identify and engineer antiviral protectionR21AI166396 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI DEKOSKY, BRANDON JAMES · 2022 to 2023
$850k
High-throughput identification and transcriptional analysis of autoreactive T cells in individuals with membranous nephropathy.R21AI178021 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CRAVEDI, PAOLO · 2023 to 2024
$479k
NCI NIH HHS OT2 CA297514NIAID NIH HHS R01 AI181684NIAID NIH HHS R21 AI166396NIAID NIH HHS R21 AI178021NIAID NIH HHS U01 AI169587
6 · The paper itself

Abstract

Library:library screening technologies hold substantial promise for paired antibody:antigen discovery, but challenges have persisted. In this issue of Cell Reports Methods, Wagner et al. introduce a method that combines antibody-ribosome-mRNA complexes, antigen cell surface display, and single-cell RNA sequencing to successfully screen diverse antibody gene libraries against a library of viral receptor proteins.

Indexed as

Gene LibraryAntibodiesHumansAntibodies

Identifiers

PMID39689694
PMCPMC11704609

What OpenQuestion holds

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Registered trials

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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.