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Record W4415917066 · doi:10.1186/s12964-025-02480-w

Tankyrases modulate the hypoxia response through non-catalytic mechanisms affecting HIF-1α

2025· article· en· W4415917066 on OpenAlexfundno aff
Esteban Zamudio-Martínez, Daniel Delgado‐Bellido, Jerónimo Borrego-Pérez, Ángel García-Díaz, Ana Belén Herrera-Campos, José Manuel Rodríguez-Vargas, F. Javier Oliver

Bibliographic record

VenueCell Communication and Signaling · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsnot available
FundersInstituto de Salud Carlos IIIMinisterio de Economía y CompetitividadJunta de AndalucíaYork UniversityMinisterio de Ciencia e InnovaciónFundación Domingo Martínez
KeywordsGene silencingHIF1AHypoxia (environmental)AngiogenesisLuciferasemicroRNAPolysomeMessenger RNACellular adaptation

Abstract

fetched live from OpenAlex

BACKGROUND: Adaptation to hypoxia is essential for cancer survival and is linked to poor prognosis and treatment resistance. This adaptation triggers the expression of genes that promote angiogenesis and metabolic reprogramming, collectively enhancing cancer cell survival, tumor growth, migration and metastasis. Consequently, there is an urgent need for innovative strategies to inhibit tumor adaptation to hypoxic conditions. METHODS: The public database cBioPortal was utilized to analyze tankyrase mRNA alteration profiles across various cancer types, and the correlation between TNKS/2 and HIF1A expression was assessed using the GEPIA platform. The effects of TNKS1/2 inhibition or silencing on HIF-1α stabilization and activation were evaluated through western blotting and RT-qPCR analysis of HIF-target genes. To gain a comprehensive understanding of the impact of tankyrase elimination on hypoxia-driven gene expression, RNA-seq was also conducted. The effects on cell fitness and the functional consequences of tankyrase silencing in tumor cell adaptation to hypoxia were examined by measuring glycolysis through ECAR and lactate assays, along with apoptosis, colony formation and migration and invasion assays. To elucidate the molecular mechanisms by which tankyrases influence hypoxic signaling, we employed a range of approaches, including polysome profiling, mRNA half-life assays, reporter luciferase assays to analyze the HIF-1α promoter, and proximity ligation assays to explore the effect of tankyrase elimination on the interaction between HIF-1α and its inhibitory protein FIH-1. RESULTS: In the present study, we investigated the role of TNKS1 and TNKS2 as modulators of the hypoxic response. Notably, we found that tankyrases participate in the regulation of both HIF-1α levels (through fine-tuning HIF1A mRNA expression) and hypoxia-induced gene expression (through alteration of HIF-1α binding to FIH-1). Global RNA-seq revealed a specific impairment of the hypoxia-induced metabolic switch to glycolysis, with consequences for metabolic adaptation and cell fitness following TNKS1/2 silencing. These effects were independent of tankyrase catalytic activity. CONCLUSION: Our findings reveal a novel role for tankyrases in regulating tumor cell adaptation to hypoxia. This new mechanism operates independently of their catalytic activity, underscoring the potential of strategies that target tankyrases interaction with multiple partners through the ankyrin domain and holding promise for the development of new therapeutic advances to counter tumor adaptation to hypoxia.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.012
GPT teacher head0.258
Teacher spread0.247 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2025
Admission routes1
Has abstractyes

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