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Record W4391708377 · doi:10.1101/2024.02.06.579014

<i>Osiris</i> gene family defines the cuticle nano-patterns of <i>Drosophila</i>

2024· preprint· en· W4391708377 on OpenAlexfundno aff
Zhengkuan Sun, Sachi Inagaki, Keita Miyoshi, Kuniaki Saito, Shigeo Hayashi

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2024
Typepreprint
Languageen
FieldNeuroscience
TopicNeurobiology and Insect Physiology Research
Canadian institutionsnot available
FundersInstitute of GeneticsRIKENMinistry of Education, Culture, Sports, Science and TechnologyNational Institute of Advanced Industrial Science and Technology
KeywordsCuticle (hair)Epidermis (zoology)Arthropod cuticleBiologyInsectCell biologyGeneOsirisAnatomyBotanyGenetics

Abstract

fetched live from OpenAlex

Abstract Nanostructures of pores and protrusions in the insect cuticle modify molecular permeability and surface wetting and help insects sense a variety of environmental cues. The cellular mechanism specifying cuticle nanostructures is poorly understood. Here, we show that insect-specific Osiris family genes are expressed in various cuticle-secreting cells in the Drosophila head in the early stage of cuticle secretion and collectively cover nearly the entire surface of the head epidermis. We show that each sense organ cell with various cuticular nanostructures expresses a unique combination of Osiris genes. Osiris gene mutations caused various cuticle defects in the corneal nipples of the eye and pores of the chemosensory sensilla. Osiris genes provide an entry point for investigating cuticle nanopatterning in insects.

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 score0.005

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)0.0010.001

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 head0.029
GPT teacher head0.252
Teacher spread0.223 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

Explore more

Same venuebioRxiv (Cold Spring Harbor Laboratory)→Same topicNeurobiology and Insect Physiology Research→French-language works237,207→