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Record W2085352255 · doi:10.1021/pr100048m

Analysis of Stage-Specific Expression of Basic Proteins in <i>Leishmania infantum</i>

2010· article· en· W2085352255 on OpenAlexafffund
Marie‐Christine Brotherton, Gina Racine, Aude L. Foucher, Jolyne Drummelsmith, Barbara Papadopoulou, Marc Ouellette

Bibliographic record

VenueJournal of Proteome Research · 2010
Typearticle
Languageen
FieldMedicine
TopicResearch on Leishmaniasis Studies
Canadian institutionsCentre hospitalier de l'Université Laval
FundersCanadian Institutes of Health Research
KeywordsProteomeAmastigoteProteomicsBiologyIsoelectric focusingBiochemistryTwo-dimensional gel electrophoresisLeishmaniaLeishmania infantumIsoelectric pointGel electrophoresisGlycomeCell biologyMolecular biologyGlycoproteinEnzymeParasite hostingGlycanGeneVisceral leishmaniasisLeishmaniasisGenetics

Abstract

fetched live from OpenAlex

Prior analyses of the proteome of the protozoan parasite Leishmania have underrepresented basic proteins. Here, we applied protein fractionation by isoelectric point (pI) using free-flow electrophoresis (FFE) to study stage-specific expression of basic proteins in this pathogen. Overall, we resolved 2469 protein spots in both the flagellated promastigote and the nonmotile amastigote forms in the basic range by two-dimensional gel electrophoresis (2-DE). Highly basic proteins were enriched by FFE fractionation, allowing many to be identified and characterized for the first time by proteomics analysis. Among proteins upregulated in the promastigote stage, we found glycolytic enzymes and flagellar proteins. Proteins upregulated in the amastigote stage included enzymes involved in gluconeogenesis and fatty acid beta-oxidation. In both life stages, many proteins were found in multiple spots or as proteolytic fragments, suggesting that extensive post-translational modification and processing occur. Interestingly, evidence was obtained suggesting that some of these processes may be stage-specific.

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)0.010
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
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 score0.283
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.005
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.069
GPT teacher head0.387
Teacher spread0.318 · 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.

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

Citations52
Published2010
Admission routes2
Has abstractyes

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