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Record W2995153414 · doi:10.5167/uzh-163714

Genetic screen to identify novel potential regulators of dorsal closure in "Drosophila melanogaster"

2007· dissertation· en· W2995153414 on OpenAlexfundno aff
Marcel Zarske

Bibliographic record

VenueZurich Open Repository and Archive (University of Zurich) · 2007
Typedissertation
Languageen
FieldMaterials Science
TopicSilk-based biomaterials and applications
Canadian institutionsnot available
FundersNational Center for Research ResourcesNational Heart, Lung, and Blood InstituteCanadian Institutes of Health ResearchNational Institutes of Health
KeywordsDrosophila melanogasterDorsumBiologyClosure (psychology)Genetic screenDrosophila (subgenus)Computational biologyGeneticsNeuroscienceEvolutionary biologyAnatomyGenePhenotypePolitical scienceLaw

Abstract

fetched live from OpenAlex

Dorsal closure of the Drosophila embryo represents the best characterized example of epithelial movement and fusion.This is due to the advanced genetics which allowed the identification of numerous genes that participate in dorsal closure.A deeper knowledge of the molecular mechanisms that drive dorsal closure leads also to a better understanding of other similar epithelial closure events such as wound healing and other processes that involve cell shape changes in general.The small Rho GTPases Drac1 and Dcdc42 are essential regulators of actin cytoskeleton dynamics and therefore are also key players in dorsal closure.To identify novel signaling components of Drac1 and Dcdc42 that potentially act during dorsal closure, we performed a genetic screen.To this end, we misexpressed dominant negative forms of either Drac1 or Dcdc42 (Drac1 N17 or Dcdc42 N17 ) specifically in the eye by using the Gal4/UAS-system.As a consequence, the resulting tester flies displayed eyes with a disrupted structure ("rough eye" phenotype) that was used as a starting point for a gain-of-function screen.Approximately 10'000 flies with random insertions of a UAS-containing enhancer promoter (EP) element were crossed to the Drac1 N17 or Dcdc42 N17 tester flies and the F1 generation was screened for modification of the rough eye phenotype.We selected modifiers that improved eye structure, i.e. suppressed the rough eye phenotype.Modification of the rough eye phenotype is supposed to be caused by EP dependent transcription of a nearby gene.These genes thus encode potential Drac or Dcdc42 signaling components.The decision to screen for eye (instead of dorsal closure) phenotype modifications was motivated, first, by the viability of the corresponding tester lines that made it possible to screen the F1 generation and, second, by the relative ease to examine the subtle eye phenotype modifications -to score for a partial suppression of the severe dorsal closure phenotypes caused by Drac1 N17 or Dcdc42 N17 embryonic overexpression was supposed to be too demanding and time consuming for this kind of large scale screening.This approach led to the identification of 17 genes, none of which has been previously reported to interact with Drac1 or Dcdc42.Their potential role in dorsal closure has not yet been investigated except for one suppressor gene: falafel.Loss-of-function mutations in falafel were generated that indeed resulted in various defects in dorsal closure besides other phenotypes.Thus this genetic approach identified at least one novel gene implicated in dorsal closure that probably would not have been picked up in conventional loss-of-function screens as its mutant phenotype is pleiotropic.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.789
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.011
GPT teacher head0.258
Teacher spread0.247 · 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.

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
Published2007
Admission routes1
Has abstractyes

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