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Abstract LB-345: Acetylenic tricyclic bis-(cyano enone) interacts with cysteine residues of actin and inhibits non-small cell lung cancer cell migration

2016· article· en· W2481249436 on OpenAlexaff
Eddie Chan, Akira Saito, Tadashi Honda, John Di Guglielmo

Bibliographic record

VenueCancer Research · 2016
Typearticle
Languageen
FieldMedicine
TopicPeptidase Inhibition and Analysis
Canadian institutionsWestern University
Fundersnot available
KeywordsActinCell migrationCell biologyActin cytoskeletonLamellipodiumActin-binding proteinMDia1CytoskeletonActin remodelingChemistryCellBiologyBiochemistry

Abstract

fetched live from OpenAlex

Abstract During epithelial-to-mesenchymal transition (EMT), epithelial cells lose their cell-cell junctions, apical-basal polarity, and reorganize their actin cytoskeleton. These changes, among others, increase the motility of individual cells and promote a highly invasive phenotype. The actin cytoskeleton is also key in cell migration and invasion, as the polymerization of actin at the leading edge provides the necessary driving force for translocation and protrusions. Therefore, the actin cytoskeleton is a potential target for inhibiting tumour progression. In this study we characterized a novel tri-cyclic synthetic triterpenoid derivative, TBE-31, in its ability to associate with actin and inhibit cell migration. Using a pull-down approach, we demonstrate that TBE-31 binds directly to actin. Furthermore, TBE-31 inhibited branched and linear actin polymerization in vitro, and stress fibre formation in cultured cells. Actin cytoskeleton reorganization and stress fiber formation was also inhibited in TGFβ-dependent EMT of non-small cell lung cancer cells. We next used SwissDock software to investigate the potential molecular interaction between TBE-31 and actin. Swissdock predicted that TBE-31 would have a high affinity for binding to the same cleft as Cytochalasin D, a bona-fide actin polymerization inhibitor. As triterpenoids associate with cysteine residues in target proteins, we generated cysteine to alanine mutants of actin and verified TBE-31 binding using pull-down assays. We identified that cysteine 374 is important for TBE-31 interaction with actin. Finally, we observed that TBE-31 inhibited fibroblast and non-small cell lung tumour cell migration with an IC50 of 1.0 and 2.5 μM, respectively. Taken together, our results suggest that TBE-31 targets actin polymerization to alter cell morphology and inhibit cell migration. Citation Format: Eddie Chan, Akira Saito, Tadashi Honda, John Di Guglielmo. Acetylenic tricyclic bis-(cyano enone) interacts with cysteine residues of actin and inhibits non-small cell lung cancer cell migration. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr LB-345.

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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 score0.001
Threshold uncertainty score0.005

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.038
GPT teacher head0.357
Teacher spread0.319 · 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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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