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Record W2740602103 · doi:10.1158/1538-7445.am2017-3335

Abstract 3335: Role of TGF-beta type III receptor in cell migration, invasion, and proliferation

2017· article· en· W2740602103 on OpenAlexaff
Anthony Ziccarelli, John Di Guglielmo

Bibliographic record

VenueCancer Research · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicTGF-β signaling in diseases
Canadian institutionsWestern University
Fundersnot available
KeywordsCell biologySignal transductionSMADBiologyReceptorTransforming growth factor betaPhosphorylationLipid raftCancer researchChemistryBiochemistry

Abstract

fetched live from OpenAlex

Abstract This study aims to investigate the role of Transforming Growth Factor-beta type III receptor on tumor metastasis through cell migration and invasion. Metastasis is responsible for 90% of cancer related deaths. An important step in the metastatic process is the epithelial to mesenchymal transition (EMT) of cancer cells, which is stimulated by TGFβ. The binding of TGFβ to its type II receptor (TβRII) triggers the phosphorylation of ser/thr kinase TGFβ type I receptor (TβRI), and receptor-regulated Smad (R-Smad) which translocates to the nucleus and alters gene transcription. The activity of this pathway is affected by receptor localization on the cell membrane, while the presence of TβRI/II complex in clathrin-coated pits propagates TGFβ signaling. However, TβRI/II complex relocation to membrane lipid rafts reduces signaling. A TGFβ receptor that lacks kinase activity, type III (TβRIII), regulates TGFβ signaling through multiple roles. Previous investigations have determined TβRIII sequesters TGFβ ligand to reduce signaling, while also presenting TGFβ to TβRII to increase signaling. TβRIII has also been shown to bind type I and type II TGFβ receptors independently, and reverse their membrane partitioning from membrane lipid rafts to clathrin-coated pits. This TβRIII induced relocation of TβRI/II increases receptor half-life, altering TGFβ signaling. Many cancers demonstrate increased expression of TβRIII, suggesting that this protein is influential in the metastatic pathway. Interestingly, conflicting studies have shown that metastasis is stimulated when TβRIII is either overexpressed or knocked-down. Overexpression of exogenous TβRIII and knockdown of endogenous TβRIII using siRNA were used to explore alterations in cell migration and invasion potential. TGFβ signaling, receptor expression, membrane partitioning, and protein interaction analyses were performed using Western blotting, sucrose-density ultracentrifugation, and immunoprecipitation techniques. Immunofluorescent transwell assays measured relative cell migration and invasion through Matrigel. Transfection of TβRIII demonstrated both the punctate and membrane localization of TβRIII, while inhibiting transwell migration. The ability of transfected cells to migrate and invade through transwell assays clarified the impact of TβRIII expression on metastatic processes. Finally, both the overexpression and silencing of TβRIII resulted in significantly different cancer cell migration and invasion profiles when compared to untransfected cell lines. TβRIII expression and activity modify cellular migratory and invasive potential through the modulation of the TGFβ signaling pathway, altering epithelial to mesenchymal transitioning and therefore tumor metastasis. Citation Format: Anthony Ziccarelli, John Di Guglielmo. Role of TGF-beta type III receptor in cell migration, invasion, and proliferation [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3335. doi:10.1158/1538-7445.AM2017-3335

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 score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.003

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 head0.044
GPT teacher head0.367
Teacher spread0.323 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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