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Record W7073535407

The cytoplasmic phosphoproteome of the Gram-negative bacterium Campylobacter jejuni: Evidence for modification by unidentified protein kinases

2007· article· en· W7073535407 on OpenAlexvenueno aff

Bibliographic record

VenueNPARC · 2007
Typearticle
Languageen
FieldMaterials Science
TopicGlass properties and applications
Canadian institutionsnot available
Fundersnot available
KeywordsCampylobacter jejuniPhosphoproteinPhosphorylationKinasePhosphopeptideEscherichia coliProtein phosphorylationCytoplasmEnzyme
DOInot available

Abstract

fetched live from OpenAlex

We have undertaken a comprehensive analysis of cytoplasmic protein phosphorylation in Campylobacter jejuni by mass spectrometric identification of phosphoproteins and localization of the sites of modification by phosphopeptide analyses. Cell extracts, enriched for phosphoproteins using Fe(III) IMAC or commercial phosphoprotein purification kits, were analyzed by 1-D and 2-D SDS-PAGE and subjected to mass fingerprinting by in-gel tryptic digestion and MALDI-TOF MS. Fifty-eight phosphopeptides were identified from 1-D gel bands by nano-LC-MS/MS and automated searching in a C. jejuni ORF database resulting in the unequivocal identification of 36 phosphoproteins of diverse function. In addition to elongation factors and chaperonins, which have been reported to be phosphorylated in other bacteria, the major phosphoproteins included bacterioferritin and superoxide dismutase. The sequences around the phosphorylated Ser and Thr residues are indicative of specific kinases being responsible for some of the modifications. However, many of the other identified proteins are enzymes that have phosphorylated substrates, including ATP, hence other modifications may arise from autophosphorylation. Comparative analyses of IMAC extracts from the Escherichia coli strain AD202 and Helicobacter pylori resulted in the identification of homologs of six of the C. jejuni phosphoproteins, though their overall phosphoproteome maps were distinctly different

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)0.001
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 score0.005
Threshold uncertainty score0.374

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.039
GPT teacher head0.283
Teacher spread0.244 · 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

Citations2
Published2007
Admission routes1
Has abstractyes

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