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Record W1983058328 · doi:10.1074/jbc.c400357200

Decreased Lifespan in the Absence of Expression of the Mitochondrial Small Heat Shock Protein Hsp22 in Drosophila

2004· article· en· W1983058328 on OpenAlexaff
Geneviève Morrow, Sophie Battistini, Ping Zhang, Robert M. Tanguay

Bibliographic record

VenueJournal of Biological Chemistry · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Aging, and Longevity in Model Organisms
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsDrosophila melanogasterCell biologyBiologyHeat shock proteinOxidative stressMitochondrionTranscription factorHeat shockRegulatorHeat shock factorStress granuleOxidative phosphorylationDrosophila (subgenus)Heat stressGeneticsGeneHsp70BiochemistryTranslation (biology)Messenger RNA

Abstract

fetched live from OpenAlex

Aging is a well regulated biological process involving oxidative stress and macromolecular damages. Three main pathways have been shown to influence lifespan, the insulin/insulin-like growth factor-1 pathway, the silent regulator pathway, and the target of rapamycin pathway. Among many proteins influencing lifespan, two transcription factors, FOXO and the heat shock factor, have been shown to be involved in the aging process and in small heat shock proteins (sHsps) expression following stress and during lifespan. We have recently shown that overexpressing the mitochondrial Hsp22 increases Drosophila melanogaster lifespan by 32% and resistance to oxidative stress. Here we show that flies that are not expressing this mitochondrial small Hsp22 have a 40% decrease in lifespan. These flies die faster than their matched control and display a decrease of 30% in locomotor activity compared with controls. The absence of Hsp22 also sensitizes flies to mild stress. These data support a key role of sHsps in aging and underline the importance of mitochondrial sHsps in this process.

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 score0.002
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)0.0020.000

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 head0.017
GPT teacher head0.233
Teacher spread0.216 · 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

Citations153
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Biological ChemistrySame topicGenetics, Aging, and Longevity in Model OrganismsFrench-language works237,207