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Record W2974077270 · doi:10.1242/dev.174128

WDR62 is involved in spindle assembly by interacting with CEP170 in spermatogenesis

2019· article· en· W2974077270 on OpenAlexfundno aff
Yan Qin, Yang Zhou, Zhiming Shen, Binyang Xu, Min Chen, Yaqiong Li, Axel Behrens, Jingjing Zhou, Xin Qi, Wenxiang Meng, Yaqing Wang, Fei Gao

Bibliographic record

VenueDevelopment · 2019
Typearticle
Languageen
FieldMedicine
TopicSperm and Testicular Function
Canadian institutionsnot available
FundersInstitute of GeneticsNational Natural Science Foundation of ChinaNational Science Fund for Distinguished Young ScholarsChinese Academy of SciencesFrancis Crick Institute
KeywordsBiologySpermatogenesisCell biologyEvolutionary biologyGenetics

Abstract

fetched live from OpenAlex

WDR62 is the second most common genetic alteration associated with microcephaly. Our previous study demonstrates that Wdr62 is required for germ cell meiosis initiation and the majority of male germ cells are lost as the meiotic defect of first wave spermatogenesis. Strikingly, in this study, we found that the initiation of meiosis of following spermatogenesis was not affected and the germ cells were gradually repopulated at later developmental stages. However, most germ cells were arrested at metaphase of meiosis I and no mature sperm were detected in epididymides. Further studies demonstrated that metaphase I arrest of Wdr62-deficient spermatocytes was caused by asymmetrical distribution of the centrosome and aberrant spindle assembly. Mechanistic studies demonstrated that WDR62 interacted with centriole-associated protein CEP170, and deletion of Wdr62 caused downregulation of the CEP170 protein which in turn led to the aberrant spindle assembly. In summary, this study indicates that the meiosis of first wave spermatogenesis and the following spermatogenesis started from spermatogonium is probably regulated by different mechanisms. We also demonstrated a new function of WDR62 in germ cell meiosis by interacting with CEP170.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.099
Threshold uncertainty score0.418

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 head0.013
GPT teacher head0.240
Teacher spread0.227 · 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 designObservational
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

Citations28
Published2019
Admission routes1
Has abstractyes

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