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Record W1995208345 · doi:10.1074/jbc.m405183200

Differential Protein Expression Analysis of Leishmania major Reveals Novel Roles for Methionine Adenosyltransferase and S-Adenosylmethionine in Methotrexate Resistance

2004· article· en· W1995208345 on OpenAlexafffund
Jolyne Drummelsmith, Isabelle Girard, Nathalie Trudel, Marc Ouellette

Bibliographic record

VenueJournal of Biological Chemistry · 2004
Typearticle
Languageen
FieldMedicine
TopicResearch on Leishmaniasis Studies
Canadian institutionsUniversité Laval
FundersCanadian Institutes of Health Research
KeywordsMethionine AdenosyltransferaseBiologyMethionineLeishmaniaAntifolateDrug resistanceGeneMethotrexateBiochemistryGeneticsAmino acidImmunologyAntimetabolite

Abstract

fetched live from OpenAlex

Leishmania is a trypanosomatid parasite causing serious disease and displaying resistance to various drugs. Here, we present comparative proteomic analyses of Leishmania major parasites that have been either shocked with or selected in vitro for high level resistance to the model antifolate drug methotrexate. Numerous differentially expressed proteins were identified by these experiments. Some were associated with the stress response, whereas others were found to be overexpressed due to genetic linkage to primary resistance mediators present on DNA amplicons. Several proteins not previously associated with resistance were also identified. The role of one of these, methionine adenosyltransferase, was confirmed by gene transfection and metabolite analysis. After a single exposure to low levels of methotrexate, L. major methionine adenosyltransferase transfectants could grow at high concentrations of the drug. Methotrexate resistance was also correlated to increased cellular S-adenosylmethionine levels. The folate and S-adenosylmethionine regeneration pathways are intimately connected, which may provide a basis for this novel resistance phenotype. This thorough comparative proteomic analysis highlights the variety of responses required for drug resistance to be achieved.

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)0.002
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 score0.064
Threshold uncertainty score0.598

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.040
GPT teacher head0.324
Teacher spread0.284 · 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

Citations68
Published2004
Admission routes2
Has abstractyes

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