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Record W3081793749 · doi:10.1126/sciadv.abb4591

The NEMP family supports metazoan fertility and nuclear envelope stiffness

2020· article· en· W3081793749 on OpenAlexafffund
Yonit Tsatskis, Robyn Rosenfeld, Joel D. Pearson, Curtis W. Boswell, Yi Qu, Kyunga Kim, Lacramioara Fabian, Ariz Mohammad, Xian Wang, Michael I. Robson, Karen Krchma, Jun Wu, João Gonçalves, Didier Hodzic, Shu‐Hsing Wu, Daniel Potter, Laurence Pelletier, Wade H. Dunham, Anne‐Claude Gingras, Yu Sun, Meng Jin, Dorothea Godt, Tim Schedl, Brian Ciruna, Kyunghee Choi, John R. B. Perry, Rod Bremner, Eric C. Schirmer, Julie A. Brill, Andrea Jurisicova, Helen McNeill

Bibliographic record

VenueScience Advances · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNuclear Structure and Function
Canadian institutionsCanada Research ChairsUniversity of TorontoHospital for Sick ChildrenGenome CanadaSinai Health SystemLunenfeld-Tanenbaum Research Institute
FundersNational Institute of General Medical SciencesMedical Research CouncilNatural Sciences and Engineering Research Council of CanadaNational Institutes of HealthNational Heart, Lung, and Blood InstituteKrembil FoundationCanadian Institutes of Health ResearchGenome CanadaOntario GenomicsCanada Research ChairsWellcome Trust
KeywordsSofteningEnvelope (radar)FertilityStiffnessComputer scienceBiologyMedicineMaterials scienceStructural engineeringEngineeringTelecommunicationsComposite materialPopulationEnvironmental health

Abstract

fetched live from OpenAlex

, zebrafish, and mice leads to sterility or early loss of fertility. Loss of Nemp leads to nuclear shaping defects, most prominently in the germ line. Biochemical, biophysical, and genetic studies reveal that NEMP proteins support the mechanical stiffness of the germline nuclear envelope via formation of a NEMP-EMERIN complex. These data indicate that the germline nuclear envelope has specialized mechanical properties and that NEMP proteins play essential and conserved roles in fertility.

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 score0.007

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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.009
GPT teacher head0.240
Teacher spread0.232 · 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

Citations21
Published2020
Admission routes2
Has abstractyes

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