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Record W3142783273 · doi:10.1530/rep-20-0629

Testosterone regulation on quiescin sulfhydryl oxidase 2 synthesis in the epididymis

2021· article· en· W3142783273 on OpenAlexaff
Tse‐En Wang, Shiori Minabe, Fuko Matsuda, Sheng‐Hsiang Li, Hiroko Tsukamura, Kei‐ichiro Maeda, Lee B. Smith, Laura O’Hara, Bart M. Gadella, Pei‐Shiue Tsai

Bibliographic record

VenueReproduction · 2021
Typearticle
Languageen
FieldMedicine
TopicSperm and Testicular Function
Canadian institutionsDiscovery Centre
FundersMinistry of Science and Technology, Taiwan
KeywordsEpididymisSpermTestosterone (patch)AndrogenAndrogen receptorTranscriptomeCell biologyChemistryOxidase testFunction (biology)Human fertilizationInternal medicineBiologyEndocrinologyGeneBiochemistryGene expressionMedicineEnzymeGeneticsHormoneProstate cancer

Abstract

fetched live from OpenAlex

The epididymis is an androgen-responsive organ, whose structure and functions are modulated by the coordination between androgen and epididymal cues. Highly regulated molecular interaction within the epididymis is required to support viable sperm development necessary for subsequent fertilization. In the present study, we extended our earlier findings on a promising epididymal protein, quiescin sulfhydryl oxidase 2 (QSOX2), and demonstrated a positive correlation between testosterone and QSOX2 protein synthesis through the use of loss- and restore-of-function animal models. Moreover, based on transcriptomic analyses and 2D culture system, we determined that an additional polarized effect of glutamate is indispensable for the regulatory action of testosterone on QSOX2 synthesis. In conclusion, we propose noncanonical testosterone signaling supports epididymal QSOX2 protein synthesis, providing a novel perspective on the regulation of sperm maturation within the epididymis.

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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.028
GPT teacher head0.261
Teacher spread0.233 · 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

Citations15
Published2021
Admission routes1
Has abstractyes

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