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Record W2157425818 · doi:10.1242/dmm.007310

The zebrafish embryo as a tool for screening and characterizing pleurocidin host-defense peptides as anti-cancer agents

2011· article· en· W2157425818 on OpenAlexafffund
Michael G. Morash, Susan E. Douglas, Anna Robotham, Christina M. Ridley, Jeffrey W. Gallant, Kelly H. Soanes

Bibliographic record

VenueDisease Models & Mechanisms · 2011
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAntimicrobial Peptides and Activities
Canadian institutionsInstitute for Biological SciencesInstitute for Marine Biosciences
FundersDalhousie University
KeywordsZebrafishEmbryoBiologyCancer cellApoptosisCytotoxicityProgrammed cell deathIn vivoPeptideCancerIn vitroToxicityCell biologyMolecular biologyPharmacologyChemistryBiochemistryGenetics

Abstract

fetched live from OpenAlex

The emergence of multidrug-resistant cancers and the lack of targeted therapies for many cancers underscore an unmet need for new therapeutics with novel modes of action towards cancer cells. Host-defense peptides often exhibit selective cytotoxicity towards cancer cells and show potential as anti-cancer therapeutics. Here, we screen 26 naturally occurring variants of the peptide pleurocidin for cytotoxic and anti-cancer activities, and investigate the underlying mechanism of action. Cytotoxicities were assessed in vitro using cell-based assays and in vivo using zebrafish embryos. Morphological changes were assessed by both transmission and scanning electron microscopy, and functional assays were performed on zebrafish embryos to investigate the mechanism of cell death. A total of 14 peptides were virtually inactive against HL60 human leukemia cells, whereas 12 caused >50% death at ≤32 μg/ml. Morphological changes characteristic of oncosis were evident by electron microscopy after only 1 minute of treatment with 32 μg/ml of variant NRC-03. Only two peptides were hemolytic. Four peptides showed no toxicity towards zebrafish embryos at the highest concentration tested (25 μM; ∼64 μg/ml) and one peptide was highly toxic, killing 4-hour-post-fertilization (hpf) embryos immediately after exposure to 1 μM peptide. Four other peptides killed embryos after 24 hours of exposure at 1 μM. Most peptides caused mortality at one or more developmental stages only after continuous exposure (24 hours) with higher lethal doses (≥5 μM). Pleurocidin NRC-03 bound to embryos and induced the release of superoxide, caused an increase in the number of TUNEL-positive nuclei, and caused membrane damage and the loss of embryonic epithelial integrity, marked by the exclusion of cells from the outer epithelium and the appearance of F-actin within the circumferential cells of the repair site. Our results indicate that specific pleurocidin variants are attractive cancer-selective agents that selectively induce cell death in target cells but leave non-target cells such as erythrocytes and non-transformed cells unaffected.

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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.038
GPT teacher head0.250
Teacher spread0.212 · 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

Citations59
Published2011
Admission routes2
Has abstractyes

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