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Record W3184768656 · doi:10.1016/j.virol.2021.07.009

Characterization of a cancer-associated Epstein-Barr virus EBNA1 variant reveals a novel interaction with PLOD1 and PLOD3

2021· article· en· W3184768656 on OpenAlexafffund
Kathy Shire, Edyta Marcon, Jack Greenblatt, Lori Frappier

Bibliographic record

VenueVirology · 2021
Typearticle
Languageen
FieldMedicine
TopicViral-associated cancers and disorders
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsBiologyTransactivationPlasmidCancerGenomeFunction (biology)Nasopharyngeal carcinomaVirusGeneticsEpstein–Barr virusCancer researchGeneInternal medicineTranscription factor

Abstract

fetched live from OpenAlex

Whole genome sequence analysis of Epstein-Barr virus genomes from tumours and healthy individuals identified three amino acid changes in EBNA1 that are strongly associated with gastric carcinoma and nasopharyngeal carcinoma. Here we show that, while these mutations do not impact EBNA1 plasmid maintenance function, one of them (Thr85Ala) decreases transcriptional activation and results in a gain of function interaction with PLOD1 and PLOD3. PLOD family proteins are strongly linked to multiple cancers, and PLOD1 is recognized as a prognostic marker of gastric carcinoma. We identified the PLOD1 binding site in EBNA1as the N-terminal transactivation domain and show that lysine 83 is critical for this interaction. The results provide a novel link between EBV infection and the cancer-associated PLOD proteins.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.864
Threshold uncertainty score0.481

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.013
GPT teacher head0.262
Teacher spread0.249 · 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 teacher head, 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

Citations14
Published2021
Admission routes2
Has abstractyes

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