MétaCan
Menu
Back to cohort
Record W2904970293 · doi:10.1109/lsc.2018.8572089

Towards High Throughput Electroporation of Zebrafish Folicles

2018· article· en· W2904970293 on OpenAlexafffund
Tayyyebeh Azita Saberbgahi, Ebrahim Ghafar‐Zadeh, Chun Peng

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Inactivation Methods
Canadian institutionsYork University
FundersYork University
KeywordsElectroporationZebrafishFollicleCell biologyOvarian follicleHair follicleOocytePropidium iodideBiologyChemistryEndocrinologyOvaryEmbryoBiochemistryApoptosisGene

Abstract

fetched live from OpenAlex

This study presents a new approach for delivery of molecules into the cell Layers of Zebrafish Follicle which can be crucial for understanding of ovarian development and the treatment of ovarian diseases. Zebrafish follicles are used as a model of ovarian development. These follicles consists of an oocyte surrounded by two thin layers of cells called theca and granulosa cell. Electroporation is a non-invasive method widely used for transferring molecules into cells for various applications including stem cell based tissue construction and gene therapy. Despite broad advantages of electroporation, no reports have been released for application of drug delivery into Zebrafish follicle and Follicle cells. This paper is the first to discuss the advantage of electroporation for the delivery of biomolecules into the follicle and follicle cells. Herein we demonstrate and discuss the advantage of electroporation for the molecule delivery into follicle and follicle cells using Propidium Iodide (PI) and green fluorescence protein (GFP).

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 score0.089
Threshold uncertainty score0.257

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 head0.014
GPT teacher head0.304
Teacher spread0.290 · 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

Citations0
Published2018
Admission routes2
Has abstractyes

Explore more

Same topicMicrobial Inactivation MethodsFrench-language works237,207