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Record W4385877387 · doi:10.3390/cancers15164119

Where to Draw the LINE—Are Retrotransposable Elements Here to Stay?

2023· article· en· W4385877387 on OpenAlexafffund
Christopher J. Bergin, Amanda Mendes da Silva, Yannick D. Benoit

Bibliographic record

VenueCancers · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of CanadaOntario Ministry of Research, Innovation and ScienceCanadian Institutes of Health ResearchGovernment of OntarioCancer Research Society
KeywordsDNA methylationMethylationBiologyTransposable elementGene silencingSomatic cellColorectal cancerIntestinal epitheliumEpitheliumRetrotransposonCancer researchCell biologyDNAComputational biologyGeneticsCancerGene expressionGeneGenome

Abstract

fetched live from OpenAlex

The frequency of somatic retrotranspositions of Long Interspersed Nuclear Elements 1 (LINE1) over a lifetime in healthy colonic epithelium and colorectal tumors has recently been reported. Indicative of a cell type-specific effect, LINE1 sequences in colonic epithelium showed lower levels of DNA methylation compared to other cell types examined in the study. Consistent with a role for DNA methylation in transposon silencing, the decreases in DNA methylation observed at LINE1 elements in colonic epithelium were accompanied by increases in LINE1 mRNA levels. In human primary colorectal tumors, LINE1 retrotransposition frequency was tenfold higher than in normal colonic tissues, with insertions potentially altering genomic stability and cellular functions. Here, we discuss the discoveries made by Nam and colleagues, emphasizing the intestinal-specific methylation signature regulating the LINE1 lifecycle and how this new information could shape future drug discovery endeavors against colorectal cancer.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0040.010
Open science0.0010.001
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0070.005

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 head0.018
GPT teacher head0.292
Teacher spread0.275 · 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 designTheoretical or conceptual
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

Citations0
Published2023
Admission routes2
Has abstractyes

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