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The dynamic microbe: green fluorescent protein brings bacteria to light

2002· review· en· W1589053113 on OpenAlexafffund
Carolyn M. Southward, Michael G. Surette

Bibliographic record

VenueMolecular Microbiology · 2002
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial Genetics and Biotechnology
Canadian institutionsCalgary General HospitalUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsGreen fluorescent proteinAequorea victoriaBiologyProtein subcellular localization predictionCell biologymCherryReporter geneHeterologousFluorescent proteinTransduction (biophysics)Bimolecular fluorescence complementationGeneComputational biologyGene expressionGeneticsBiochemistry

Abstract

fetched live from OpenAlex

The demonstration that the green fluorescent protein (GFP) from the jellyfish Aequorea victoria required no jellyfish-specific cofactors and could be expressed as a fluorescent protein in heterologous hosts including both prokaryotes and eukaryotes sparked the development of GFP as one of the most common reporters in use today. Over the past several years, the utility of GFP as a reporter has been optimized through the isolation and engineering of variants with increased folding rates, different in vivo stabilities and colour variants with altered excitation and emission spectral properties. One of the great utilities of GFP is as a probe for characterizing spatial and temporal dynamics of gene expression, protein localization and protein-protein interactions in living cells. The innovative application of GFP as a reporter in bacteria has made a significant contribution to microbial cell biology. This review will highlight recent studies that demonstrate the potential of GFP for real-time analysis of gene expression, protein localization and the dynamics of signalling transduction pathways through protein-protein interactions.

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
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.005

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 head0.235
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

Citations131
Published2002
Admission routes2
Has abstractyes

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