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Record W1966218520 · doi:10.1111/1574-6976.12070

Progress in understanding the assembly process of bacterial O-antigen

2014· review· en· W1966218520 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueFEMS Microbiology Reviews · 2014
Typereview
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsUniversity of SaskatchewanMcGill University
FundersCanadian Institutes of Health Research
KeywordsContext (archaeology)BiologyAntigenComputational biologyCell biologyGenetics

Abstract

fetched live from OpenAlex

The discovery that the surfaces of Gram-negative bacteria often carry unique polysaccharide signatures pre-dates most seminal discoveries of molecular biology and biochemistry of the 20th century. The O-antigen component of the lipopolysaccharide has been one of the most intensely studied bacterial polysaccharide surface structures for over 80 years. Yet, many questions about the mechanism of biosynthesis of the O-antigen and its transport to the cell surface remain unanswered. In this review we provide an overview of how the molecular basis of the O-antigen assembly and trafficking were unraveled in a historical context. We pay particular attention to the emergence of novel technological approaches and how they fueled the elucidation of the O-antigen maturation process. Moreover, we provide a brief perspective on the biosynthesis of enterobacterial common antigen and underline the similarities and differences between the pathways used to assemble these two surface polysaccharides. Finally, we highlight key discoveries that led to the understanding of the mechanistic basis of bacteriophage-induced O-antigen modifications. We place special emphasis on the regulation of the length of O-antigen polymers and provide a detailed overview of the models explaining the O-antigen length determination. Finally, we highlight outstanding questions that need to be addressed both structurally and functionally to advance our understanding of the O-antigen assembly, trafficking and export within cellular and molecular contexts.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.986
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
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)0.0010.001

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 head0.067
GPT teacher head0.350
Teacher spread0.283 · 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