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Record W2415378790 · doi:10.1007/978-1-59745-102-4_25

Analysis of Interactions Between Viral Replicase Proteins and Plant Intracellular Membranes

2008· article· en· W2415378790 on OpenAlexaff
Hélène Sanfaçon, Guangzhi Zhang

Bibliographic record

VenueMethods in molecular biology · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRNA-dependent RNA polymeraseIntracellularMembraneVirologyCell biologyChemistryBiologyBiochemistryRNAGene

Abstract

fetched live from OpenAlex

Replication of the genome of positive-strand RNA plant viruses takes place in membrane-bound complexes that contain viral replicase proteins, viral RNA, and host proteins. Many viral replicase proteins play a crucial role in the assembly of replication complexes at intracellular membranes. They are integral membrane proteins that interact directly with the membranes and bring other proteins and the viral RNA to the complex via protein-protein or protein-RNA interactions. In this chapter, we describe subcellular fractionation methods that determine whether viral proteins are integral membrane proteins in planta. Differential centrifugation techniques are used to produce membrane-enriched fractions, which can then be analyzed for the presence of viral replicase proteins by immunoblotting. Confirmation of the membrane-association is obtained by membrane flotation assays and treatment of membrane-enriched fractions with high salt or high pH followed by detection of the viral proteins. Because many plant viruses replicate in association with the endoplasmic reticulum (ER), we also discuss two techniques to specifically analyze the interaction of viral proteins with these membranes. These techniques are continuous sucrose-gradient fractionation in the presence or absence of 3 mM Mg2+ and glycosylation assays.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score0.187

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.073
GPT teacher head0.389
Teacher spread0.315 · 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

Citations12
Published2008
Admission routes1
Has abstractyes

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