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Record W2130324037 · doi:10.1242/jcs.03417

Interactions of DNR1 with the apoptotic machinery of<i>Drosophila</i>melanogaster

2007· article· en· W2130324037 on OpenAlexaff
David A. Primrose, Sidharth Chaudhry, A. George D. Johnson, Adam Hrdlicka, Anja Schindler, Dave Tran, Edan Foley

Bibliographic record

VenueJournal of Cell Science · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell death mechanisms and regulation
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBiologyDrosophila melanogasterDrosophila (subgenus)ApoptosisMelanogasterCell biologyGeneticsEvolutionary biologyGene

Abstract

fetched live from OpenAlex

Caspases are crucial activators of apoptosis and NF-kappaB signaling in vertebrates and invertebrates. In Drosophila, the caspase-9 counterpart Dronc is essential for most apoptotic death, whereas the caspase-8 homolog Dredd activates NF-kappaB signaling in response to gram-negative bacterial infection. The mechanics of caspase regulation are conserved and include the activities of a family of inhibitor of apoptosis (IAP) proteins. The RING-domain-bearing protein Defense repressor 1 (Dnr1), blocks ectopic Dredd-mediated induction of an NF-kappaB reporter in the Drosophila S2 cell line. In this study, we present novel data indicating that Dnr1 impacts on Dronc-dependent regulation of the apoptotic program. We show that depletion of Dnr1 results in elevated Dronc protein levels, which translates to increased caspase activation and activity upon induction of apoptosis. Conversely, we demonstrate that overexpression of Dnr1 blocks apoptotic caspase activity and prevents induction of apoptosis in tissue culture assays. Furthermore, we show that Dnr1 overexpression significantly reduces Dronc protein levels and identify the domains of Dnr1 necessary for these effects. From these data, we propose that Dnr1 inhibits initiator caspases in S2 cells.

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 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 score0.017
Threshold uncertainty score0.104

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.005
GPT teacher head0.237
Teacher spread0.231 · 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.

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

Citations15
Published2007
Admission routes1
Has abstractyes

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