MétaCan
Menu
← Back to cohort
Record W4413399775 · doi:10.1093/jimmun/vkaf201

MKLN1-dependent GID4/CTLH E3 ubiquitin ligase complex assemblies are required to support B-cell antibody diversification

2025· article· en· W4413399775 on OpenAlexafffund
Philip Barbulescu, Matthew K. Wong, Leon Baronian, Pengyu Wang, Abdulmateen O. Aderinto, Matthias Kneussel, Alberto Martín

Bibliographic record

VenueThe Journal of Immunology · 2025
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health ResearchUniversity of TorontoDeutsche Forschungsgemeinschaft
KeywordsUbiquitin ligaseUbiquitinAntibodyDiversification (marketing strategy)ChemistryDNA ligaseCell biologyComputational biologyBiologyBiochemistryBusinessGeneticsEnzymeGene

Abstract

fetched live from OpenAlex

C-terminal to LisH (CTLH) E3 ubiquitin ligase complexes regulate a broad range of biological processes and forms separate supramolecular CTLH-MKLN1 and CTLH-WDR26 assemblies possessing distinct substrate specificities. Our previous work revealed that the CTLH complex utilizes the FAM72A substrate adaptor to ubiquitinate and degrade the uracil-DNA glycosylase 2 (UNG2) base excision repair factor. This outcome in B cells permits deoxyuridine mutations catalyzed by activation-induced cytidine deaminase (AID) to persist toward mutational outcomes and drive antibody diversification events. Here, we report that Mkln1-/- mice specifically lacking assembly of CTLH-MKLN1 complexes display reduced somatic hypermutation and class switch recombination frequencies due to increased UNG2, similar to Fam72a-/- mice. Strikingly, Mkln1-/- mice showed increased germinal center B cells and defects during B-cell development, a phenotype not observed in Fam72a-/- mice, suggesting that MKLN1 regulates proteins that are independent of FAM72A. Together, this work identifies that CTLH-MKLN1 ubiquitin E3 ligase complexes are critical in generating effective humoral immune responses and reveals distinctions between FAM72A-dependent and -independent CTLH complex modalities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.354
Teacher spread0.312 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueThe Journal of Immunology→Same topicChronic Lymphocytic Leukemia Research→French-language works237,207→