Evidence map›Paper›PMID 40173015›Full record

ArticleNucleic acids research2025

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 Iv

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. 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, United States.ORCID 0000-0002-1068-1968
Assya TrofimovComputational Biology Program, Fred Hutchinson Cancer Center, Seattle, WA 98109, United States.ORCID 0000-0001-8748-3735
Philip BradleyComputational Biology Program, Fred Hutchinson Cancer Center, Seattle, WA 98109, United States.ORCID 0000-0002-0224-6464
Frederick A Matsen IvComputational Biology Program, Fred Hutchinson Cancer Center, Seattle, WA 98109, United States.ORCID 0000-0003-0607-6025

Funding

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
Howard Hughes Medical InstituteMahan FellowshipNIAID NIH HHS R01 AI146028NIGMS NIH HHS R35 GM141457NIH HHS R01 AI146028NIH 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 in vitro studies have shown that microhomology-short stretches of sequence homology between gene ends-can bias the recombination process, the extent of microhomology's impact in vivo, particularly in humans, remains unknown. In this paper, we assess how germline-encoded microhomology influences trimming and ligation during V(D)J recombination using statistical inference on previously published high-throughput TCRα repertoire sequencing data. We find that microhomology increases both trimming and ligation probabilities, making it an important predictor of recombination outcomes. These effects are consistent across other receptor loci and sequence types. Further, we demonstrate that accounting for germline microhomology effects significantly alters sequence annotation probabilities and rankings, highlighting its practical importance for accurately inferring the V(D)J recombination events that generated an observed sequence. Together, these results enhance our understanding of how germline-encoded microhomologous nucleotides shape the human V(D)J recombination process.

Indexed as

V(D)J RecombinationHigh-Throughput Nucleotide SequencingHumansSequence Homology, Nucleic Acid

Identifiers

PMID40173015
PMCPMC11963759

What OpenQuestion holds

Textmetadata
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.