MétaCan
Menu
Back to cohort
Record W2160360623 · doi:10.1039/c3nr04056a

Protamine sulfate–nanodiamond hybrid nanoparticles as a vector for MiR-203 restoration in esophageal carcinoma cells

2013· article· en· W2160360623 on OpenAlexaff
Minjun Cao, Xiongwei Deng, Shishuai Su, Fang Zhang, Xiangqian Xiao, Qin Hu, Yongwei Fu, Burton B. Yang, Yan Wu, Wang Sheng, Yi Zeng

Bibliographic record

VenueNanoscale · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicroRNA in disease regulation
Canadian institutionsUniversity of Toronto
FundersProgram for New Century Excellent Talents in UniversityNational Key Research and Development Program of ChinaBeijing University of Technology
KeywordsNanodiamondProtamine sulfateProtamineNanoparticlemicroRNACancer cellCancer researchMaterials scienceEsophageal cancerNanotechnologyCancerChemistryMedicineHeparinBiochemistryInternal medicineGeneDiamond

Abstract

fetched live from OpenAlex

We report an innovative approach for miRNA-203 delivery in esophageal cancer cells using protamine sulphate (PS)-nanodiamond (ND) nanoparticles. The efficient delivery of miR-203 significantly suppressed the proliferation and migration of cancer cells through targeting Ran and ΔNp63, exhibiting a great potential for PS@ND nanoparticles in miRNA-based cancer 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 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 score0.032
Threshold uncertainty score0.623

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 head0.008
GPT teacher head0.230
Teacher spread0.222 · 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.

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

Citations58
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueNanoscaleSame topicMicroRNA in disease regulationFrench-language works237,207