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Record W3038437389 · doi:10.5539/jmbr.v10n1p73

Study of Anticancer Activity of Pratensein and Pratensein Glycoside Isolated from Cuscuta kotchiana

2020· article· en· W3038437389 on OpenAlexvenueno aff
Mandana Behbahani, Mohaddeseh Moghaddam

Bibliographic record

VenueJournal of Molecular Biology Research · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNatural product bioactivities and synthesis
Canadian institutionsnot available
FundersUniversity of Isfahan
KeywordsGlycosideApoptosisIn vitroWestern blotCytotoxic T cellCuscutaCancer cellCell cultureMolecular biologyGeneBiologyChemistryCancerCancer researchBiochemistryBotanyGenetics

Abstract

fetched live from OpenAlex

In the present paper, we demonstrate that extract of Cuscuta kotchiana is able to inhibit in vitro proliferation of two human breast cancer cell lines, MCF-7 and MDA-MB-231. The expression levels of p53, bcl-2, caspase-3 and bax genes at the mRNA and protein levels were evaluated using quantitative Real Time PCR and western blot analysis. The most active fractions of C. kotchiana were detected by NMR as pratensein and pratensein glycoside. The cytotoxic activity of pratensein glycoside was significantly more than pratensein. The expression level of bcl2 gene was decreased in cancer cells treated by both compounds at CC50 concentrations. But the expression levels of caspase-3, p53 and bax genes were increased in treated cancer cells. In conclusion, all the data demonstrated that the glycoside form of pratensein is important agent in inducing apoptosis in human breast cancer cells.

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 score0.001
Threshold uncertainty score0.003

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 head0.054
GPT teacher head0.364
Teacher spread0.311 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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