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Record W2326559171 · doi:10.1158/1538-7445.am2011-2331

Abstract 2331: Role of MMP expression in the effect of Plk4 on cell migration and invasion

2011· article· en· W2326559171 on OpenAlexaff
Volha Brashavitskaya, Carla O. Rosario, James W. Dennis, Carol J. Swallow

Bibliographic record

VenueCancer Research · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsLunenfeld-Tanenbaum Research Institute
Fundersnot available
KeywordsMotilityCell biologyBiologyMatrigelCell migrationMolecular biologyCellGenetics

Abstract

fetched live from OpenAlex

Abstract Plk4 is a haploinsufficient tumor suppressor in mice (Ko et al, Nature Genetics, 2005). Plk4+/− mouse embryonic fibroblasts (MEFs) spontaneously immortalize in culture and become tumorigenic by passage 15 (Rosario et al, PNAS, 2010). We investigated the secondary genetic alterations associated with tumorigenicity. Early passage (P3) Plk4+/+, P3 Plk4+/− and late passage (P15) Plk4+/− MEFs were compared by genome-wide expression array (Illumina). When differentially expressed genes were organized by biological function, increased cell proliferation and death (p=2.13E10-1.31E02, p = 2.52E07-1.14E02 respectively), and decreased cell motility (p = 3.74E07-1.27E02) in the P15 MEFs were predicted. An independent array analysis comparing tumorigenic (T) to nontumorigenic (NT) Plk4+/− MEFs showed a pattern of altered gene expression predictive of decreased motility in the T MEFs. These results suggested the hypothesis that Plk4 modulates cell motility. To directly test this hypothesis in functional assays we measured cell spreading, scratch-wound healing and transwell migration through Matrigel; in all these assays P3 Plk4+/− were inferior to P3 Plk4+/+ MEFs. We hypothesized that altered MMP expression was one mechanism for the difference observed in migration, and tested this by comparing MMP-13,-10 and -3 expression as shown in the Table. Plk4 status was associated with altered expression of MMPs; in particular, MMP-13 expression was confirmed to be significantly reduced in P3 Plk4+/− compared to P3 Plk4+/+ MEFs by RT-qPCR. Our results indicate that Plk4 regulates cell motility and invasion. One potential mechanism is through upregulation of MMP-3,-10, and -13 expression. To further elucidate the molecular mechanisms of Plk4 related carcinogenesis we will next directly determine the effect of Plk4 on MMP activity and correlate this with migration and invasion. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 2331. doi:10.1158/1538-7445.AM2011-2331

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 score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
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)0.0070.002

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 head0.049
GPT teacher head0.349
Teacher spread0.299 · 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
Published2011
Admission routes1
Has abstractyes

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