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Record W2991195297 · doi:10.1021/jacs.9b11281

Single Molecule Force Spectroscopy Reveals the Mechanical Design Governing the Efficient Translocation of the Bacterial Toxin Protein RTX

2019· article· en· W2991195297 on OpenAlexafffund
Han Wang, Xiaoqing Gao, Hongbin Li

Bibliographic record

VenueJournal of the American Chemical Society · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicForce Microscopy Techniques and Applications
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaChina Scholarship Council
KeywordsChemistryForce spectroscopyChromosomal translocationBiophysicsSecretionFolding (DSP implementation)MoleculeCytosolTransloconProtein foldingBiochemistryEnzyme

Abstract

fetched live from OpenAlex

The efficient translocation of the bacterial toxin adenylate cyclase toxin (CyaA) from the bacterial cytosol to the extracellular environment by the type 1 secretion system (T1SS) is essential for the toxin to function. To understand the molecular features that are responsible for the efficient translocation of CyaA, here we used optical tweezers to investigate the mechanical properties and conformational dynamics of the RTX domain of CyaA at the single molecule level. Our results revealed that apo-RTX behaves like an ideal random coil. This property allows the T1SS to translocate RTX without overcoming the enthalpic resistance. In contrast, the folded holo-RTX is mechancially stable, and its folding occurs in a vectorial, cotranslocational fashion starting from its C-terminus. Moreover, our results showed that the folding of holo-RTX generates a stretching force, which can further facilitate the translocation of RTX. Our results highlight the important role played by the Ca2+-triggered folding of RTX in the translocation of RTX and provide mechanistic insights into the mechanical design that governs the efficient translocation of RTX.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.216

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.008
GPT teacher head0.241
Teacher spread0.234 · 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

Citations24
Published2019
Admission routes2
Has abstractyes

Explore more

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