MétaCan
Menu
Back to cohort
Record W1983286938 · doi:10.1016/j.febslet.2010.12.033

Hypoxia-inducible factor independent down-regulation of thioredoxin-interacting protein in hypoxia

2010· article· en· W1983286938 on OpenAlexfundno aff
Tin Fan Chai, Yee Chin Leck, Hongpeng He, Fa‐Xing Yu, Yan Luo, Thilo Hagen

Bibliographic record

VenueFEBS Letters · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsTXNIPThioredoxin-Interacting ProteinCarbohydrate-responsive element-binding proteinGlycolysisHypoxia (environmental)ChemistryTranscription factorCarbohydrate metabolismHypoxia-inducible factorsCell biologyBiochemistryThioredoxinMetabolismBiologyOxygenGene

Abstract

fetched live from OpenAlex

Thioredoxin-Interacting Protein (Txnip) is an important regulator of glucose metabolism and functions by inhibiting cellular glucose uptake. The expression of the Txnip gene is sensitive to glucose availability and is negatively correlated with the glycolytic rate. Here we show that hypoxia induces a rapid decrease in Txnip mRNA and protein expression in a Hypoxia-Inducible Factor independent manner. Hypoxia caused reduced binding of the glucose responsive MondoA:Mlx transcription factor to the carbohydrate response elements (ChoREs) in the Txnip promoter. Our data suggest that hypoxia decreases MondoA:Mlx activity by increasing glycolytic flux, leading to the depletion of glycolytic intermediates which normally activate MondoA:Mlx. Hypoxia dependent Txnip down-regulation may be an important compensatory mechanism through which cancer cells adapt their metabolism to low oxygen concentrations.

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 score0.148
Threshold uncertainty score0.796

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 head0.010
GPT teacher head0.240
Teacher spread0.230 · 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

Citations23
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueFEBS LettersSame topicCancer, Hypoxia, and MetabolismFrench-language works237,207