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Record W2362004279

Construction and Identification of Recombinant Pseudovirus Carrying N-linked Glycosylation-site Mutants of Hantaanvirus

2013· article· en· W2362004279 on OpenAlexaff
Yu La

Bibliographic record

VenueXiandai shengwu yixue jinzhan · 2013
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Vectors
Canadian institutionsScience North
Fundersnot available
KeywordsRecombinant DNAGlycosylationGlycoproteinMutantBiologyN-linked glycosylationVirologyImmunogenicityMolecular biologyGeneAntibodyBiochemistryGenetics
DOInot available

Abstract

fetched live from OpenAlex

Objective: To further study the effect of hantavirus envelope glycoprotein glycosylation on viral immunogenicity and infectious, five recombinant pseudovirus carrying N-linked glycosylation site mutants of Hantaanvirus(HTNV) were constructed.Methods: Mutated five N-glycosylation sites of GP in HTNV 76-118 strain using site-directed mutagenesis methods and constructed recombinant pseudovirus by cotransfecting the Lentiviral expression vector and packaging vectors into the HEK293 cells. Then the five recombinant pseudovirus were identified by RT-PCR and Immunofluorescence(IFA). Results: Five N-linked glycosylation site mutants were contrasted and their sequencing showed the asparagines(N) residues at the N-linked glycosylation sites on Gn and Gc were replaced by glutamine(Q). RT-PCR results showed that all of the five recombinant pseudovirus could express the HTNV GP gene. IFA results showed that the recombinant pseudovirus also could express the Gn and Gc protein of HTNV. Conclusion: The five recombinant pseudovirus carrying N-linked glycosylation site mutants of HTNV were successfully constructed and named rLV-M1, rLV-M2, rLV-M3,rLV-M4 and rLV-M5, respectively. The result of this study provided tools for study on the roles of N-linked glycosylation of HTNV glycoproteins in biological activity and laid the foundation for futher esearch of hantavirus vaccine and pathogenic mechanism.

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 score0.496
Threshold uncertainty score0.563

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 head0.012
GPT teacher head0.252
Teacher spread0.240 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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