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Record W2073171184 · doi:10.1158/1538-7445.am10-4004

Abstract 4004: Reciprocal regulation of Stat3 and the caveolae protein, cav1

2010· article· en· W2073171184 on OpenAlexaffabout
Mulu Geletu, Reva Mohan, Rozanne Arulanandam, Adina Vultur, Leda Raptis

Bibliographic record

VenueCancer Research · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCaveolin-1 and cellular processes
Canadian institutionsQueen's University
Fundersnot available
KeywordsCell biologyCaveolaeSTAT proteinSignal transductionSTAT3PhosphorylationBiologyKinaseCaveolinCaveolin 1Receptor tyrosine kinaseTyrosine phosphorylationProto-oncogene tyrosine-protein kinase SrcTyrosine kinaseChemistry

Abstract

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Abstract Caveolae are cholesterol-rich, flask-shaped invaginations of the plasma membrane with many roles in the cell, including the regulation of signal transduction. Caveolin 1 (Cav1) is the major protein responsible for the organization and maintenance of caveolae microdomains. Cav1 recruits many receptor and non-receptor tyrosine kinases and through binding to its scaffolding-domain, Cav1 sequesters the kinases in an inactive form, thereby preventing their involvement in signaling pathways. One important downstream target of many tyrosine kinases (Src, EGF, PDGF, IL6 and others) is the signal transducer and activator of transcription-3 (Stat3). Stat3 is a cytoplasmic signal transducer which is activated by tyrosine-705 phosphorylation by a number of kinases, then migrates to the nucleus to initiate transcription of genes involved in cell division and survival. Despite extensive evidence on the role of cav1 in signal transduction, its effect upon Stat3 is still obscure. We previously demonstrated that cell-to-cell adhesion, as occurs in confluent cultures, can cause a dramatic increase in Stat3 phosphorylation and activity in cultured cells (Oncogene 23:2600, MBC 16:3832). Therefore, to examine effects upon Stat3, cell density has to be taken into account. Our results now indicate that cav-1 downregulation through expression of an anti-sense construct, or treatment with the pharmacological inhibitor, methyl-cyclo-dextran which removes cholesterol from the membrane and destroys caveolae, caused a strong activation of Stat3 as well as Erk1/2, at all densities examined. Conversely, cav1 overexpression downregulated Stat3 and induced apoptosis in NIH3T3 fibroblasts both before and after transformation by the Simian Virus 40 Large Tumor antigen, as well as in HeLa cells. In all cases, apoptosis was prevented by co-expression of the constitutively active form of Stat3, Stat3C. Taken together, these findings point to cav1 as an inhibitor of Stat3 activity. It was previously demonstrated that cav1 upregulates p53 gene activity. Since Stat3 is known to inhibit p53 transcription by direct binding to the p53 promotor, these data also point to the possibility that cav1 may, in fact, activate p53 through Stat3 inhibition. Our results also demonstrate for the first time that, in a feedback loop, Stat3 inhibition following infection with an Adenovirus vector expressing a Stat3-specific, shRNA, results in a dramatic increase in cav1 levels, indicating that Stat3 also downregulates cav1 expression. Since p53 also upregulates cav1, and Stat3 blocks the p53 promotor, it is possible that Stat3 may block cav1 simply by downregulating p53, rather than downregulating the cav1 promotor directly. The above findings taken together reveal the presence of a potent, negative regulatory loop between cav1 and Stat3 activity that plays a crucial role in cellular survival. (supported by CIHR, CBCF-Ontario chapter, US Army breast cancer program NSERC and BCAK). Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 4004.

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)0.000
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 score0.023
Threshold uncertainty score0.211

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.024
GPT teacher head0.348
Teacher spread0.324 · 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

Citations0
Published2010
Admission routes2
Has abstractyes

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