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Record W2807393739 · doi:10.5287/ora-5jajoaoaq

Proteases and inhibitors in the interaction between Nicotiana benthamiana and Agrobacterium tumefaciens – systematic analysis and emerging solutions for molecular farming

2017· dissertation· en· W2807393739 on OpenAlexfundno aff
Friederike Grosse‐Holz

Bibliographic record

VenueOxford University Research Archive (ORA) (University of Oxford) · 2017
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicTransgenic Plants and Applications
Canadian institutionsnot available
FundersBiotechnology and Biological Sciences Research CouncilNatural Sciences and Engineering Research Council of CanadaEuropean CommissionDeutsche ForschungsgemeinschaftUniversity of OxfordWellcome Trust
KeywordsNicotiana benthamianaAgrobacterium tumefaciensAgrobacteriumProteasesBiologyBotanyBiochemistryEnzymeTransformation (genetics)Gene

Abstract

fetched live from OpenAlex

<em>Nicotiana benthamiana</em> is now an established platform for molecular farming, the production of biopharmaceuticals in plants. Infiltration with <em>Agrobacterium tumefaciens</em> (agroinfiltration) is commonly used to transiently express one or multiple transgenes in <em>N. benthamiana</em> leaves. Agroinfiltrated <em>N. benthamiana</em> is a flexible and scalable recombinant protein (RP) production platform, but is impeded by low RP yields. Plant proteases can degrade RPs and thus limit RP accumulation. To inform, design and implement strategies for enhancing RP accumulation, I present four papers about proteases and protease inhibitors in agroinfiltrated <em>N. benthamiana</em>. First, I investigated the transcriptome, extracellular proteome and active secretome to understand the plant response to agroinfiltration and investigate the expressed proteases. I show that an extracellular immune response is mounted at the expense of photosynthesis. Comprehensive annotation and monitoring uncover a large, diverse repertoire of proteases in agroinfiltrated leaves, indicating that broad-range depletion of protease activity may be required to enhance RP accumulation. Second, I reviewed the literature on multifunctional plant protease inhibitors (PIs) and grouped them into three types of multifunctional PIs that evolved independently. Third, I screened candidate PIs and discovered that three new, unrelated PIs enhance RP accumulation. I present universal elements of the RP degradation machinery, uncovering new questions on our understanding of the protease network that degrades RPs. Fourth, I identified targets of SlCYS8, a PI that enhances RP accumulation. The target proteases of SlCYS8 are implicated in RP degradation and the high specificity of SlCYS8 can be used to study their role in other processes. By elucidating the immune response to agroinfiltration, by uncovering the <em>N. benthamiana</em> protease repertoire and by providing new tools to deplete the activity of specific proteases, this thesis makes a relevant contribution to both basic plant research and molecular farming.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.584
Threshold uncertainty score0.781

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
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 head0.023
GPT teacher head0.280
Teacher spread0.257 · 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
Published2017
Admission routes1
Has abstractyes

Explore more

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