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Record W4414796466 · doi:10.1101/2025.10.01.678482

<i>Resilin,</i> the gene for the molecular spring: its roles in flight and jumping of <i>Drosophila</i>

2025· preprint· en· W4414796466 on OpenAlexfundno aff
Yoshiki Eto, Yoko Keira, Hiroyuki Ishikawa, Toshiro Aigaki, Tsunaki Asano

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Languageen
FieldMaterials Science
TopicSilk-based biomaterials and applications
Canadian institutionsnot available
FundersJapan Society for the Promotion of ScienceJapan Science SocietyInstitute of GeneticsSeoul National UniversityNihon University
KeywordsGene knockdownGeneMutantPhenotypeCoding regionFunction (biology)

Abstract

fetched live from OpenAlex

Abstract Resilin is a member of the chitin-binding protein family that was originally found as a major component of an elastic matrix present in insects. The knockdown of the gene for this protein in Drosophila melanogaster causes the characteristic downturned wing posture, and the knockdown flies cannot move their wings. The jump distance of the knockdown flies is around 50% shorter than that of the controls. Null mutant flies show the same phenotypes, which can be rescued by introducing a 4.7 kb genomic fragment harboring the whole coding region of Resilin . In vitro experiments have shown that the elasticity of the matrix made of Resilin is due to the dityrosine-mediated polymerization of Resilin molecules. Dual oxidase (Duox) is the most likely candidate for the in vivo polymerization of Resilin molecules. Duox knockdown induces phenotypes similar to those observed in wing posture and jump performance of the Resilin knockdown and knockout flies, which can be rescued by the overexpression of Duox gene from a beetle. These findings suggest that Duox is an essential factor for the proper function of Resilin as the major component of the resilin matrix.

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 score0.003
Threshold uncertainty score0.008

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)0.0030.001

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 head0.013
GPT teacher head0.234
Teacher spread0.221 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

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