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Record W4399823614 · doi:10.1101/2024.06.18.599513

Telomeric lncRNA TERRA localizes to stress granules in human ALT cells

2024· preprint· en· W4399823614 on OpenAlexaff
Luca Larini, E Goretti, Eleonora Zulian, Emma Busarello, Stefano M. Marino, Mona Hajikazemi, Katrin Paeschke, Toma Tebaldi, Emilio Cusanelli, Katarína Juríková

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2024
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related molecular mechanisms research
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsCell biologyStress granuleTelomereBiologyChemistryMolecular biologyGeneticsGeneMessenger RNA

Abstract

fetched live from OpenAlex

Abstract TERRA, the lncRNA derived from the ends of chromosomes, has a number of well-described nuclear roles including telomere maintenance and homeostasis. A growing body of evidence now points at its role in human cells outside of nucleus—it has been found to be a component of extracellular vesicles, a player in inflammation signalling and its capacity for translation has been shown. In this work, using a combination of sensitive microscopy methods, cellular fractionation, proteomics and transcriptome analysis, we demonstrate directly for the first time that TERRA is present in the cytoplasm of human telomerase-negative cells, especially upon various stress stimuli, and that it associates with stress granules. Confirming the presence of TERRA in the cytoplasm, our work fills an important gap in the field, and contributes to the discussion about the role of TERRA as a transcript involved in nucleo-cytoplasmic stress communication.

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 score0.002
Threshold uncertainty score0.008

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)0.0020.001

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 head0.010
GPT teacher head0.253
Teacher spread0.243 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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