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Record W2582960661

Identification and characterization of novel bovine leukemia virus (BLV) antisense transcripts in leukemic and pre-leukemic clones

2016· article· en· W2582960661 on OpenAlexaff
Keith Durkin, Nicolas Rosewick, Maria Artesi, Vincent Hahaut, Philip Griebel, Natasa Arsic, Arsène Burny, Michel Georges, Anne Van den Broeke

Bibliographic record

VenueOpen Repository and Bibliography (University of Liège) · 2016
Typearticle
Languageen
FieldImmunology and Microbiology
TopicT-cell and Retrovirus Studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsBovine leukemia virusVirologyIdentification (biology)BiologyLeukemiaGeneticsVirusMolecular biology
DOInot available

Abstract

fetched live from OpenAlex

The deltaretrovirus Bovine Leukemia Virus (BLV) is closely related to the Human T-cell leukemia virus-1 (HTLV-1). Cattle are the natural host of BLV where it integrates into B-cells, produces a lifelong infection. Most infected animals remain asymptomatic but following a protracted latency period about ~5% develop an aggressive leukemia/lymphoma, mirroring the disease trajectory of HTLV-1. Like the case in HTLV-1 the 5’LTR BLV provirus is transcriptionally silent in tumors, however the provirus is not entirely quiescent, constitutively express the BLV microRNAs in tumors. Using RNA-seq, we found that in addition to microRNAs, the BLV provirus also constitutively expresses two antisense transcripts in all BLV infected samples examined. The first transcript (AS1) has alternate potential polyadenylation sites generating a short transcript of ~600bp (AS1-S) and a less abundant longer transcript of ~2200bp (AS1-L). Alternative splicing also creates a second transcript of ~400bp (AS2) utilizing the first exon of AS1. Production of AS transcripts from the 3’LTR was supported by reporter assays demonstrating that the BLV LTR has substantial and Tax-independent antisense promoter activity. BLV AS transcripts predominantly localize in the nucleus. Examination of protein coding potential showed AS2 to be non-coding, while the AS1-S/L transcripts coding potential is ambiguous, with a small potential open reading frame (ORF) of 264bp present. The AS1-L transcript overlaps the BLV microRNAs transcribed in the sense direction. Using high throughput sequencing of RNA-ligase-mediated (RLM) 5' RACE products, we show that the perfect complementary between the transcripts leads to RNA-induced silencing complex (RISC) mediated cleavage of AS1-L. Furthermore, experiments using BLV proviruses where the microRNAs were removed or inverted point to additional transcriptional interactions between the two viral RNA species. Knock down of AS1-S/L using locked nucleic acids (LNAs) showed no obvious effect on the cells phenotype. While a detailed elucidation of the BLV antisense transcripts function remains in the future, the constitutive expression in all samples examined, points to a vital role for the transcripts in the life cycle and oncogenic potential of BLV.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.585
Threshold uncertainty score0.431

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
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 head0.012
GPT teacher head0.205
Teacher spread0.193 · 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 designObservational
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
Published2016
Admission routes1
Has abstractyes

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