Evidence map›Paper›PMID 39464162›Full record

ArticlebioRxiv : the preprint server for biology2024

Statistical analysis of repertoire data demonstrates the influence of microhomology in V(D)J recombination.

Magdalena L Russell, Assya Trofimov, Philip Bradley, Frederick A Matsen

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Magdalena L RussellComputational Biology Program, Fred Hutchinson Cancer Center, Seattle, WA 98109.ORCID 0000-0002-1068-1968
Assya TrofimovComputational Biology Program, Fred Hutchinson Cancer Center, Seattle, WA 98109.ORCID 0000-0001-8748-3735
Philip BradleyComputational Biology Program, Fred Hutchinson Cancer Center, Seattle, WA 98109.ORCID 0000-0002-0224-6464
Frederick A MatsenComputational Biology Program, Fred Hutchinson Cancer Center, Seattle, WA 98109.ORCID 0000-0003-0607-6025

Funding

DECODING THE INTERACTIONS BETWEEN T CELL RECEPTORS AND PEPTIDE-MHCR01AI136514 · NIAID · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI Paul G. Thomas · 2018 to 2026
$6.9M
Blending deep learning with probabilistic mechanistic models to predict and understand the evolution and function of adaptive immune receptorsR01AI146028 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI MATSEN, FREDERICK ALBERT · 2019 to 2024
$3.4M
Molecular modeling and machine learning for protein structures and interactionsR35GM141457 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRADLEY, PHILIP · 2021 to 2025
$2.1M
High-Performance Compute Cluster for Comprehensive Cancer and Infectious Diseases ResearchS10OD028685 · OD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRADLEY, PHILIP · 2020 to 2020
$2.0M
Learning a molecular shape space for the adaptive immune systemR35GM142795 · NIGMS · UNIVERSITY OF WASHINGTON · PI NOURMOHAMMAD, ARMITA · 2021 to 2025
$1.8M
NIAID NIH HHS R01 AI136514NIAID NIH HHS R01 AI146028NIGMS NIH HHS R35 GM141457NIGMS NIH HHS R35 GM142795NIH HHS S10 OD028685
6 · The paper itself

Abstract

V(D)J recombination generates the diverse B and T cell receptors essential for recognizing a wide array of antigens. This diversity arises from the combinatorial assembly of V(D)J genes and the junctional deletion and insertion of nucleotides. While previous

Indexed as

adaptive immunitymicrohomologynon-homologous end joiningT cell receptor repertoiresV(D)J recombination

Identifiers

PMID39464162
PMCPMC11507937

What OpenQuestion holds

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LicenceCC BY
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.