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Record W2102300699 · doi:10.5539/ijb.v2n1p13

Localization of Guanylate Cyclase Receptor, Inositol Trisphosphate Receptor, and Calmodulin in Boar Spermatozoa

2010· article· en· W2102300699 on OpenAlexvenueno aff
Ayele Gugssa, Ava Williams, Rakeb Tilahun, William R. Eckberg, Winston A. Anderson, Balwant S. Ahluwalia, Lalita Kaul, D Broomfield

Bibliographic record

VenueInternational Journal of Biology · 2010
Typearticle
Languageen
FieldMedicine
TopicSperm and Testicular Function
Canadian institutionsnot available
Fundersnot available
KeywordsCapacitationCell biologyCalmodulinAcrosome reactionInositolAcrosomeAcrosinBiologySpermReceptorColocalizationInositol trisphosphate receptorMotilityBiochemistryGenetics

Abstract

fetched live from OpenAlex

Several proteins present on the sperm membranes serve as signal transducers facilitating sperm maturation, capacitation,acrosome reaction and fertilization. Among them, guanylate cyclase (GC), the inositol trisphosphate receptor (IP3R) andcalmodulin have been reported rather extensively. Although biochemical data clearly suggest their roles in thefertilization process, the precise location of these proteins in the sperm membranes have not been adequately investigatedand need clarification. Using immunolocalization procedures we report that guanylate cyclase receptors (GCR) arelocalized on the apical region of the acrosome and on the postacrosomal plasmalemma, while IP3Rs are present in theneck region of the sperm and at lower density along the axonemal membrane. In contrast, calmodulin is restricted to thepostacrosomal, basal nuclear membrane and the neck region that corresponds to the redundant nuclear envelope and ERvesicles, with some reaction along the middle piece and tail membranes. Colocalization of these proteins on the spermmembrane together with biochemical data as reported previously provide further insight into their role in thespermatozoan motility and possibly the fertilization process.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.338
Threshold uncertainty score0.366

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 head0.008
GPT teacher head0.279
Teacher spread0.271 · 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

Citations4
Published2010
Admission routes1
Has abstractyes

Explore more

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