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Overexpression of hindsight in sensory organ precursors is associated with a transformation of campaniform sensilla to microchaetae in the Drosophila wing

2019· article· en· W2949479733 on OpenAlexaff
Krzysztof Szablewski, Bruce H. Reed

Bibliographic record

VenuePubMed · 2019
Typearticle
Languageen
FieldEngineering
TopicBiomimetic flight and propulsion mechanisms
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsWingDrosophila (subgenus)Transformation (genetics)Hindsight biasBiologyCell biologyAnatomySensory systemNeuroscienceEvolutionary biologyGeneticsGenePsychologyEngineeringAerospace engineering

Abstract

fetched live from OpenAlex

The adult Drosophila wing blade contains sense organs known as campaniform sensilla. These cellular structures sense pressure or strain in the wing during flight and provide neural feedback required for coordinated wing movements (Bartussek and Lehmann, 2016). The dorsal surface of the wing blade includes three campaniform sensilla along wing vein L3, two on the first longitudinal vein near the tip of the costa, and a single sensillum on the anterior cross vein. Other campaniform sensilla are found at the base of the wing and on the ventral wing surface (Huang et al., 1991). In experiments utilizing GAL4/UAS inducible expression of the gene hindsight (hnt), which encodes a Zinc finger transcription factor (Yip et al., 1997), we found that campaniform sensilla are frequently transformed to mechanosenory external sense organs, also known as microchaetae. The GAL4 driver used was scaGAL4, a reporter for expression of the proneural gene scabrous (sca) which is expressed in sensory organ precursor cells as is hnt (Buffin and Gho, 2010). We found campaniform to microchaetae transformation occurred in scaGAL4 > UAS-GFP-HntJ18, as well as scaGAL4 > EP55. The penetrance of this phenotype was not complete, as not all campaniform sensilla were transformed to microchaetae in all individuals. To the best of our knowledge, there are two instances of this particular phenotype reported in the literature. The first is a specific allelic combination of loss-of-function mutants of the gene absent, small, or homeotic discs 2 (ash27/ash218) (Adamson and Shearn, 1996). The second involves the expression throughout the wing imaginal disc of a human SMAD tumour allele (UAS-SMAD4100T) (Takaesu et al., 2005). The former instance involving ash2 loss-of-function mutants is of particular interest because ash2 is implicated in the negative regulation of EGFR/Ras/MAPK signalling, through the negative regulation of rhomboid (Angulo et al., 2004), which is required for the production of active EGFR ligand (Wasserman et al., 2000). Thus, overexpression of hnt is consistent with overactivation of EGFR/Ras/MAPK signalling in the context of campaniform sensilla SOPs. Interestingly, hnt is the Drosophila homologue of human Ras Responsive Element Binding protein-1 (RREB-1) (Melani et al., 2008; Ming et al., 2013).

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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 science0.0000.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.177
Teacher spread0.168 · 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".

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Citations2
Published2019
Admission routes1
Has abstractyes

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