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Record W2059943520 · doi:10.3109/10731190903356537

Luciferase Therapeutic Microcapsules for Gene Therapy

2009· article· en· W2059943520 on OpenAlexafffund
Anna Aihua Li, Donna Y. Hou, Feng Shen, Eric Seidlitz, Murray Potter

Bibliographic record

VenueArtificial Cells Blood Substitutes and Biotechnology · 2009
Typearticle
Languageen
FieldEngineering
Topic3D Printing in Biomedical Research
Canadian institutionsJuravinski HospitalMcMaster University
FundersCanadian Institutes of Health Research
KeywordsLuciferaseIn vitroViability assayIn vivoGenetic enhancementMolecular biologyPlasmidGene expressionChemistryGeneTransfectionCell biologyBiologyBiochemistryBiotechnology

Abstract

fetched live from OpenAlex

MDCK cells were engineered to express luciferase driven by cytomegalovirus (CMV) or hybrid ubiquitin B (UbB) promoter and encapsulated in alginate-poly-L-lysine-alginate microcapsules. In vitro experiments showed capsules could be monitored individually or in multi-layers quantitatively. When luciferase-expressing and non-luciferase expressing MDCK cells were mixed at different ratios and encapsulated, the signals increased linearly according to the number of capsules, in vitro and in vivo. For CMV-driven luciferase expression, the strongest signal was seen at 4 hours post-implantation, with a subsequent 50% decrease by 24 hours and then declined gradually to 10-20% until day 20. However, retrieved capsules showed good cell viability. When capsules contained plasmid driven by UbB promoter, there was no decline in signal. Our results indicate that luciferase could be used as a marker for microencapsulated cells to monitor the viability and gene expression of the implanted 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 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 score0.182
Threshold uncertainty score0.616

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 head0.022
GPT teacher head0.249
Teacher spread0.228 · 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

Citations3
Published2009
Admission routes2
Has abstractyes

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