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Record W7119521296 · doi:10.1093/nar/gkaf1457

A mechanism for telomere-specific telomere length regulation

2025· article· en· W7119521296 on OpenAlexafffund
Gabriela M. Teplitz, Emeline Pasquier, Erin Bonnell, Evelina De Laurentiis, Louise Bartle, Gabriel St-Laurent, Dean S Dawson, Raymund J. Wellinger

Bibliographic record

VenueNucleic Acids Research · 2025
Typearticle
Languageen
FieldMedicine
TopicTelomeres, Telomerase, and Senescence
Canadian institutionsUniversité de Sherbrooke
FundersFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchNational Institutes of Health
KeywordsTelomereTelomeraseSubtelomereTelomere-binding proteinSenescenceHeterochromatinChromosomeMutation

Abstract

fetched live from OpenAlex

Telomere length is a critical determinant of telomere function and hence chromosome stability. Critically short telomeres induce cellular senescence and division arrest, which eventually may lead to devastating age-related degenerative diseases. Conversely, maintenance of telomere length is a hallmark of cancer. How telomere set-length is established and molecular mechanisms for telomere-specific length regulation remained unknown. Here, we detail a mechanism of a telomere-specific set-length regulation that causes important differences in telomere length between individual telomeres in the same cell. Indeed, the results show that telomerase recruitment is modulated in cis in a telomere-specific way. Increased Sir4 abundance on yeast TEL03L subtelomeric heterochromatin leads to a set-length maintenance that is 1.5 to 2 times higher than on other telomeres. Remarkably, the distal 15 kb of TEL03L are sufficient to transfer this telomere-specific set-length regulation to another chromosome end. Furthermore, a mutation in the telomere boundary element protein Tbf1 allow increased Sir4 binding on telomeres and hence results in longer set-lengths. The results, therefore, will force a rethinking of telomere length regulation away from the generalized view that all telomeres are treated the same, to a more telomere-specific treatment.

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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.071
GPT teacher head0.371
Teacher spread0.300 · 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

Citations4
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueNucleic Acids Research→Same topicTelomeres, Telomerase, and Senescence→French-language works237,207→