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Record W2041975784 · doi:10.1515/hsz-2014-0183

Prokaryotic membrane vesicles: new insights on biogenesis and biological roles

2014· review· en· W2041975784 on OpenAlexaff
M. Florencia Haurat, Wael Elhenawy, Mario F. Feldman

Bibliographic record

VenueBiological Chemistry · 2014
Typereview
Languageen
FieldImmunology and Microbiology
TopicBacterial Infections and Vaccines
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBiogenesisVesicleChemistryCell biologyBiophysicsMembraneComputational biologyBiologyBiochemistry

Abstract

fetched live from OpenAlex

Biogenesis and trafficking of membrane vesicles are essential and well-studied processes in eukaryotes. In contrast, vesiculation in bacteria is not well understood. Outer membrane vesicles (OMVs) are produced in Gram-negative bacteria by blebbing of the outer membrane. In addition to the roles in pathogenesis, cell-to-cell communication and stress response, recent work has suggested that OMVs play important roles in immunomodulation and the establishment and balance of the gut microbiota. In this review we discuss the known and novel roles of OMVs and the different biogenesis models proposed, and address the evidence for cargo selection into OMVs. We also discuss the growing evidence for the existence of membrane vesicles in Gram-positive bacteria and Archaea. Due to their biological importance and promising applications in vaccinology, the biogenesis of OMVs is an important topic in microbiology.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.002

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 head0.052
GPT teacher head0.281
Teacher spread0.228 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations156
Published2014
Admission routes1
Has abstractyes

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