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Record W2567154821 · doi:10.1016/s1525-0016(16)34148-x

539. Clinical LV Design Incorporating Human-Derived Cell-Fate Control (Suicide) Elements

2015· article· en· W2567154821 on OpenAlexaff
William M. McKillop, B C Y Au, Cesar Moncada, Nadejda Andreev, Carolyn A. Keever-Taylor, William R. Drobyski, Mark D. Minden, Christopher J. Paige, Jeffrey A. Medin

Bibliographic record

VenueMolecular Therapy · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsSuicide geneProgrammed cell deathBiologyCell biologyCell fate determinationCell growthCancer researchCellKinaseApoptosisTransgeneGenetic enhancementBiochemistryGene

Abstract

fetched live from OpenAlex

We have previously reported on cell-fate control or ‘suicide’ transgenes based on the human enzymes deoxyCytidine Kinase (dCK) and Thymidylate Kinase (tmpK). These cell-fate control systems are based on modified human kinases, which convert exogenous non-toxic pro-drugs into toxic products. Modified dCK activates bromovinyldeoxyuridine (BVdU), l-deoxythymidine (LdT), l-deoxyuridine (LdU), etc., to become cytotoxic compounds that induce apoptosis. Modified tmpK specifically acts on metabolites of azidothymidine (AZT). It converts AZT-MP to AZT-DP. Subsequent conversion to AZT-TP results in inducible-programmed cell death of tmpK-transduced cells. Recently we have fused these ‘suicide’ transgenes to a cytoplasmic tail-truncated human LNGFR (CD271), a cell surface marker, enforcing a one-to-one correlation between components. Both the trLNGFRdCK and trLNGFRtmpK constructs follow an IRES element in bicistronic lentivectors (LVs) ensuring transfer of the therapeutic construct and the cell-fate control element into the same target cells. This system offers a robust method to eradicate transduced cells at the end of treatment or upon observation of adverse events. It also provides a facile method for vector tracking, and facilitates the evaluation of vector transduction efficiency and selection of expanded transduced cells ex vivo. Currently, we are engineering these cell-fate control elements into 3 independent LVs for clinical application: 1) in an IL-12-based construct to generate anti-tumor vaccines in AML, 2) to engineer overexpression of a lysosomal hydrolase to treat Fabry disease, and 3) to mitigate the graft-versus-host disease response resulting from adoptive T cell transfers. Pre-clinical data suggests significant expression of IL-12 in ex vivo transduced patient AML blasts and near complete AZT-responsive cell death. Our LV designed for treatment of Fabry disease restores stable alpha-galactosidase A activity in ex vivo-transduced CD34+ HSCs and provides a mechanism for their death upon AZT addition if needed. The trLNGFRtmpK construct will provide a marker for ex vivo expansion of T cells carrying the cell-fate control cassette and allow for selective ablation of those cells if graft-versus-host disease occurs. Indeed, we have observed significant transduction frequencies and inducible death of transduced human T cells upon AZT addition. The trLNGFRdCK and trLNGFRtmpK constructs are novel human-derived cell-fate control (‘suicide’) elements for use in clinical vector design.

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)0.002
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 score0.053
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0010.000
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 head0.092
GPT teacher head0.383
Teacher spread0.291 · 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
Published2015
Admission routes1
Has abstractyes

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