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Influence of mTOR Signalling Pathway on the MHC I Immunopeptidome.

2007· article· en· W2588721401 on OpenAlexaff
Marie‐Hélène Fortier, Étienne Caron, Danielle de Verteuil, Claude Perreault, Pierre Thibault

Bibliographic record

VenueBlood · 2007
Typearticle
Languageen
FieldMedicine
TopicPeptidase Inhibition and Analysis
Canadian institutionsUniversité de MontréalInstitute for Research in Immunology and Cancer
Fundersnot available
KeywordsMajor histocompatibility complexPI3K/AKT/mTOR pathwayBiologyMHC class ICell biologyLabel-free quantificationMHC restrictionAntigenSignal transductionGeneticsProteomicsQuantitative proteomicsGene

Abstract

fetched live from OpenAlex

Abstract Cell surface major histocompatibility complex (MHC) I molecules are associated with self peptides that are collectively referred to as the self MHC I immunopeptidome (sMII). Despite the tremendous importance of the sMII, very little is known on its genesis and molecular composition. On the other hand, it is well established that the signalling pathway involving mammalian target of rapamycin (mTOR) plays an essential role in the regulation of processes such as ribosome biogenesis and protein translation which are critical for cell growth, proliferation and differentiation. In this work, we studied the influence of mTOR on the sMII for two major reasons: the tremendous importance of this pathway in oncogenic processes its role in the control of protein synthesis, which is at the origin of the generation of the sMII. To achieve this goal, we developed a novel high-throughput mass spectrometry approach that yields an accurate definition of the nature and relative abundance of unlabeled peptides presented by MHC I molecules. Starting from EL4 thymoma peptide extracts, more than 200 MHC I-associated peptides were sequenced with high confidence level across more than 5500 peptide clusters reproductibly identified through replicate injections (n = 3). Comparison of the sMII of EL4 thymomas before and after rapamycin stimulation revealed that 13% of the MHC I-associated peptides were significant overexpressed (fold change ≥ 2, p-value ≤ 0.05) after mTOR inhibition. Out of the 27 MHC I peptide candidates showing differential expression, 60% of peptide source proteins were linked to cell development and/or proliferation including ITFIFKSL and NAIKNHWNSTM assigned to FK506 binding protein 12 (mTOR) and myeloblastosis oncogene (c-myb) proteins, respectively. These results indicate that cell signalling events have a major impact on the composition of the sMII that can be monitored by analyses of high-throughput MS-based quantitative profiles. Figure 1: Relative Quantification of Differentially Expressed MHC I peptides. Volcano Plot representation illustrates MHC I peptides reproductibly detected across replicate injections (n=3). Peptides over-expressed on EL4 cells after rapamycin stimulation are highlighted in blue. Figure 1:. Relative Quantification of Differentially Expressed MHC I peptides. Volcano Plot representation illustrates MHC I peptides reproductibly detected across replicate injections (n=3). Peptides over-expressed on EL4 cells after rapamycin stimulation are highlighted in blue.

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)0.000
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 score0.015
Threshold uncertainty score0.201

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.013
GPT teacher head0.245
Teacher spread0.232 · 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

Citations1
Published2007
Admission routes1
Has abstractyes

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