MétaCan
Menu
Back to cohort

Resistance of Human Hepatitis Delta Virus RNAs to Dicer Activity

2003· article· en· W2125547495 on OpenAlexaff
Jinhong Chang, Patrick Provost, John M. Taylor

Bibliographic record

VenueJournal of Virology · 2003
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Virus Infections Studies
Canadian institutionsUniversité Laval
FundersNational Institute of Allergy and Infectious DiseasesNational Cancer InstituteNational Institutes of Health
KeywordsBiologyCircular RNAViroidDicerRNAVirologyMolecular biologySmall nucleolar RNAArgonauteRNA silencingPotato spindle tuber viroidRibonuclease IIIViral replicationVirusRNA interferenceNon-coding RNAGeneticsGenePlant virus

Abstract

fetched live from OpenAlex

The endonuclease dicer cleaves RNAs that are 100% double stranded and certain RNAs with extensive but <100% pairing to release approximately 21-nucleotide (nt) fragments. Circular 1,679-nt genomic and antigenomic RNAs of human hepatitis delta virus (HDV) can fold into a rod-like structure with 74% pairing. However, during HDV replication in hepatocytes of human, woodchuck, and mouse origin, no approximately 21-nt RNAs were detected. Likewise, in vitro, purified recombinant dicer gave <0.2% cleavage of unit-length HDV RNAs. Similarly, rod-like RNAs of potato spindle tuber viroid (PSTVd) and avocado sunblotch viroid (ASBVd) were only 0.5% cleaved. Furthermore, when a 66-nt hairpin RNA with 79% pairing, the putative precursor to miR-122, which is an abundant liver micro-RNA, replaced one end of HDV genomic RNA, it was poorly cleaved, both in vivo and in vitro. In contrast, this 66-nt hairpin, in the absence of appended HDV sequences, was >80% cleaved in vitro. Other 66-nt hairpins derived from one end of genomic HDV, PSTVd, or ASBVd RNAs were also cleaved. Apparently, for unit-length RNAs of HDV, PSTVd, and ASBVd, it is the extended structure with <100% base pairing that confers significant resistance to dicer action.

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 score0.885
Threshold uncertainty score0.500

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 head0.027
GPT teacher head0.270
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 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

Citations60
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueJournal of VirologySame topicAnimal Virus Infections StudiesFrench-language works237,207