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Record W4403502362 · doi:10.1101/2024.10.15.618472

The ATP-dependent protease ClpYQ degrades cell division proteins DivIVA and Mbl in <i>Bacillus subtilis</i>

2024· preprint· en· W4403502362 on OpenAlexaff
Taylor D. Lanosky, Michael G. Darnowski, Jordan T. Brazeau-Henrie, Puneet Labana, Christopher N. Boddy

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2024
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial Genetics and Biotechnology
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsBacillus subtilisCell biologyProteaseCell divisionDivision (mathematics)BiologyMicrobiologyCellEnzymeGeneticsBiochemistryBacteria

Abstract

fetched live from OpenAlex

Abstract ATP-dependent proteases play key roles in bacterial protein quality control and regulation of cellular processes. ClpYQ and ClpXP are ATP-dependent proteases in the Gram-positive bacteria Bacillus subtilis . To date, no substrate proteins of B. subtilis ClpYQ have been characterized. The protease component encoded by clpQ is synthetically lethal with clpP and the two genes are non-essential individually, suggesting potentially redundant roles for ClpYQ and ClpXP. Previous quantitative proteomic data predicted that B. subtilis proteins DivIVA and Mbl, components of the divisome and elongasome respectively, are potential substrates of ClpYQ. The role of DivIVA and Mbl in cell division and elongation suggests a significant role of ClpYQ in regulating cell division through targeted degradation of key divisome and elongasome proteins. Here we confirm that DivIVA and Mbl are degraded by ClpYQ both in vitro and in vivo , and thus identify the first two substrates of ClpYQ in B. subtilis .

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 score0.003

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)0.0010.001

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 head0.007
GPT teacher head0.200
Teacher spread0.193 · 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
Published2024
Admission routes1
Has abstractyes

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