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Record W1975517035 · doi:10.1038/cdd.2015.24

A novel autoregulatory loop between the Gcn2-Atf4 pathway and L-Proline metabolism controls stem cell identity

2015· article· en· W1975517035 on OpenAlexfundno aff
Cristina D’Aniello, Annalisa Fico, Laura Casalino, Ombretta Guardiola, Gabriele Di Napoli, Federica Cermola, Dario De Cesare, Rosarita Tatè, Gilda Cobellis, Eduardo J. Patriarca, Gabriella Minchiotti

Bibliographic record

VenueCell Death and Differentiation · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPluripotent Stem Cells Research
Canadian institutionsnot available
FundersInstitute of GeneticsAssociazione Italiana per la Ricerca sul CancroMinistero dell’Istruzione, dell’Università e della Ricerca
KeywordsATF4Cell biologyProlineInduced pluripotent stem cellBiologyEmbryonic stem cellCell growthStem cellMetabolismAmino acidBiochemistryUnfolded protein responseGene

Abstract

fetched live from OpenAlex

Increasing evidence indicates that metabolism is implicated in the control of stem cell identity. Here, we demonstrate that embryonic stem cell (ESC) behaviour relies on a feedback loop that involves the non-essential amino acid L-Proline (L-Pro) in the modulation of the Gcn2-Eif2α-Atf4 amino acid starvation response (AAR) pathway that in turn regulates L-Pro biosynthesis. This regulatory loop generates a highly specific intrinsic shortage of L-Pro that restricts proliferation of tightly packed domed-like ESC colonies and safeguards ESC identity. Indeed, alleviation of this nutrient stress condition by exogenously provided L-Pro induces proliferation and modifies the ESC phenotypic and molecular identity towards that of mesenchymal-like, invasive pluripotent stem cells. Either pharmacological inhibition of the prolyl-tRNA synthetase by halofuginone or forced expression of Atf4 antagonises the effects of exogenous L-Pro. Our data provide unprecedented evidence that L-Pro metabolism and the nutrient stress response are functionally integrated to maintain ESC identity.

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 score0.446
Threshold uncertainty score0.533

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 head0.025
GPT teacher head0.248
Teacher spread0.223 · 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

Citations69
Published2015
Admission routes1
Has abstractyes

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