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Record W7046733950

Elucidation of the Tissue Tropism Determinants of Jaagsiekte Sheep Retrovirus and Enzootic Nasal Tumor Virus

2018· dissertation· en· W7046733950 on OpenAlexfundno aff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2018
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersKrell InstituteNatural Sciences and Engineering Research Council of Canada
KeywordsTropismRetrovirusEnzooticLong terminal repeatLentivirusVirusTransmembrane proteinCell culture
DOInot available

Abstract

fetched live from OpenAlex

Jaagsiekte Sheep Retrovirus (JSRV) and Enzootic Nasal Tumor Virus (ENTV) cause adenocarcinomas of the lung and nasal tract, respectively, in sheep and goats. Nevertheless, JSRV and ENTV share a high degree of nucleotide (nt) (89%) and amino acid (a.a.) (80%) identity. They also enter cells via the same cell receptor, Hyaluronoglucosaminidase 2 (Hyal2), an enzyme involved in epithelial, endothelial and chondrocytic hyaluronan metabolism. Finally, they transform tissues using their envelope (Env) glycoprotein. JSRV and ENTV genome sequence comparisons reveal two regions of dissimilarity: the U3 of the Long Terminal Repeats (LTRs) (35% nt), and the cytoplasmic tail of the Envelope glycoprotein (50% a.a.). To uncover genomic regions important for tropism, we developed JSRV-ENTV chimeras within a JSRV backbone, containing ENTV’s LTRs, structural proteins and Env. Because JSRV and ENTV lack a reporter gene and have difficulty propagating in vitro, we also employed lentivectors (LV) pseudotyped with the JSRV Env (Jenv) and ENTV Env (Eenv), and developed a tissue slice ex vivo model to study entry of JSRV, ENTV and the chimeras. Our data demonstrated that, unlike JSRV and Jenv LV, ENTV and Eenv LV could not infect or transduce ovine lung tissue slices. Furthermore, JSRV LTRs were statistically significantly less active than ENTV LTRs in primary ovine chondrocyte cells. We also observed strong staining against Env in ENTV-infected ovine nasal turbinate slices, particularly in chondrocytes. Our in vitro data also showed that lentivectors pseudotyped with Eenv best transduced ovine primary chondrocytes, similarly to cells overexpressing Hyal2, revealing new aspects of ENTV pathogenesis. These results suggest that JSRV and ENTV tissue selectivity requires both Env and the LTRs. This marked tissue specificity allowed us to explore Jenv as an LV pseudotype in lung gene therapy. We generated two novel Jenv mutants to pseudotype LV, yielding titers similar to Vesicular Stomatitis Virus glycoprotein pseudotyped LV, capable of efficiently transducing both ovine and Hyal2-expressing murine lung slices. Overall, this thesis proposes that JSRV and ENTV tropism is orchestrated by both their promoters and Env glycoproteins, and that their tissue specificity can be re-purposed for gene therapy to the lung.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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 head0.010
GPT teacher head0.239
Teacher spread0.229 · 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 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

Citations0
Published2018
Admission routes1
Has abstractyes

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