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Record W2061729961 · doi:10.1093/nar/gkm455

Widely variable endogenous retroviral methylation levels in human placenta

2007· article· en· W2061729961 on OpenAlexafffund
Daphné Reiss, Ying Zhang, Dixie L. Mager

Bibliographic record

VenueNucleic Acids Research · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicChromosomal and Genetic Variations
Canadian institutionsUniversity of British ColumbiaTerry Fox Research Institute
FundersBC Cancer AgencyCanadian Institutes of Health Research
KeywordsBiologyMethylationEndogenous retrovirusDNA methylationLong terminal repeatPlacentaPromoterRetrotransposonGeneticsGeneMolecular biologyTransposable elementGenomeGene expressionFetus

Abstract

fetched live from OpenAlex

It is generally assumed that transposable elements, including endogenous retroviruses (ERVs), are silenced by DNA methylation/chromatin structure in mammalian cells. However, there have been very few experimental studies to examine the methylation status of human ERVs. In this study, we determined and compared the methylation status of the 5' long terminal repeats (LTRs) of different copies of the human endogenous retrovirus (HERV) family HERV-E, which are inserted in various genomic contexts. We found that three HERV-E LTRs which function as alternative gene promoters in placenta are unmethylated in that tissue but heavily methylated in blood cells, where these LTRs are not active promoters. This difference is not solely due to global hypomethylation in placenta, since two general measures of methylation levels of HERV-E and HERV-K LTRs suggest only 10-15% lower overall HERV methylation in placenta compared to blood. Comparisons between methylation levels of the LTR-derived gene promoters and six random HERV-E LTRs in placenta showed that the former display significantly lower methylation levels than random LTRs. Moreover, the differences in methylation between LTRs cannot always be explained by their genomic environment, since methylation of flanking sequences can be very different from methylation of the LTR itself.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.898
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.130
GPT teacher head0.339
Teacher spread0.210 · 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.

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

Citations103
Published2007
Admission routes2
Has abstractyes

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