MétaCan
Menu
Back to cohort
Record W2347985351

Vascular endothelial cell growth factor-C small RNA interfering vector down-regulate COX-2, Bel-2 and induce apoptosis in human breast cancer cells

2009· article· en· W2347985351 on OpenAlexaff
Fei Gu, Qiang Zou, Quan Xing Ni

Bibliographic record

VenueFudan xuebao. Yixue ban · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAngiogenesis and VEGF in Cancer
Canadian institutionsPancreas Centre (Canada)
Fundersnot available
KeywordsTransfectionGene silencingSmall interfering RNAApoptosisVascular endothelial growth factorMolecular biologyBiologyCancer researchCell growthCancer cellRNA interferenceCancerRNACell cultureGeneVEGF receptors
DOInot available

Abstract

fetched live from OpenAlex

Objective To clone the recombinant plasmid silencing vascular endothelial growth factor-C (VEGF-C) gene by small interfering RNA (siRNA) and observe its role in the expression of COX-2,Bcl-2 and proliferation in human breast cancer cells MDA-MB-435. Methods Breast cancer cells MDA-MBA-435 were transfected stably with the recombinant siRNA plasmid and negative control by positive liposomal methods.We examined the gene expression of VEGF-C,COX-2 by RT-PCR and protein expression of VEGF-C,COX-2 and Bcl-2 by Western blot to explore the effect of VEGF-C down-regulation.The influences on cell activity and apoptosis were studied by MTT and flow cytometry. Results The down-regulation of VEGF-C inhibited the expression of some other genes such as COX-2 and bcl-2.The apoptosis rate was 60% after transfection 72 hours,and grew much slower than control groups. Conclusions The results obtained explain the function of VEGF-C and the cross-talk of downstream tyrosine kinase.Silencing of VEGF-C expression using siRNA vectors inhibits cell activity and induces apoptosis in human breast cancer cells MDA-MBA-435,which is a potential approach for tumor gene therapy.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.069
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.010
GPT teacher head0.228
Teacher spread0.218 · 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.

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
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueFudan xuebao. Yixue banSame topicAngiogenesis and VEGF in CancerFrench-language works237,207