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A histochemical and immunohistochemical investigation of epimorphic regeneration in the representative lizard, <i>Eublepharis macularius</i>

2010· article· en· W2294647799 on OpenAlexafffund
Katherine E McLean, Matthew K. Vickaryous

Bibliographic record

VenueThe FASEB Journal · 2010
Typearticle
Languageen
FieldMaterials Science
TopicSilk-based biomaterials and applications
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBlastemaRegeneration (biology)BiologyAnatomyImmunohistochemistryWound healingEpidermis (zoology)Cell biologyPathologyImmunologyMedicine

Abstract

fetched live from OpenAlex

Epimorphic regeneration involves cell proliferation and the formation of a regeneration blastema to replace lost or damaged tissues. Although well described for teleosts and urodeles, this type of regeneration is also characteristic of many lizards. The objective of this study was to investigate the events that characterize epimorphic tail regeneration in the leopard gecko, Eublepharis macularius using both histochemistry and immunohistochemistry. Changes in tissue structure and composition of the regenerating tail were examined at various times post‐tail loss. A phase of wound healing follows immediately after tail loss during which time basal cells of the epidermis proliferate and migrate across the wound site. Once the wound is capped proliferation begins deep to the wound epithelium, giving rise to a localized mass of undifferentiated cells, the regeneration blastema. Blastema formation coincides with the onset of angiogenesis and redevelopment of axons and the ependymal tube of the spinal cord. Skeletal tissues differentiate somewhat later during tail regeneration, matching with the expression of Sox9. We also observe Sox9 expression in both mesenchymal and ependymal cells. Our findings demonstrate the utility of lizard tails as a model system for ongoing studies of epimorphic regeneration. Grant Funding Source : NSERC

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)0.001
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 score0.004
Threshold uncertainty score0.218

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.019
GPT teacher head0.266
Teacher spread0.248 · 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
Published2010
Admission routes2
Has abstractyes

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