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Record W3003615138 · doi:10.15252/embr.201948671

The mechanoreceptor DEG‐1 regulates cold tolerance in Caenorhabditis elegans

2020· article· en· W3003615138 on OpenAlexfundno aff
Natsune Takagaki, Akane Ohta, Kohei Ohnishi, Akira Kawanabe, Yohei Minakuchi, Atsushi Toyoda, Yuichiro Fujiwara, Atsushi Kuhara

Bibliographic record

VenueEMBO Reports · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Aging, and Longevity in Model Organisms
Canadian institutionsnot available
FundersMishima Kaiun Memorial FoundationInstitute of GeneticsDaiichi Sankyo Foundation of Life ScienceJapan Society for the Promotion of ScienceMinistry of Education, Culture, Sports, Science and TechnologyHirao Taro Foundation of KONAN GAKUEN for Academic ResearchDaiichi Sankyo EuropeAsahi Glass FoundationTakeda Science FoundationCosmetology Research FoundationSuzuken Memorial FoundationJapan Agency for Medical Research and DevelopmentNaito Foundation
KeywordsCaenorhabditis elegansMechanoreceptorBiologyCell biologyCold toleranceGeneticsNeuroscienceBotanyGeneStimulation

Abstract

fetched live from OpenAlex

Abstract Caenorhabditis elegans mechanoreceptors located in ASG sensory neurons have been found to sense ambient temperature, which is a key trait for animal survival. Here, we show that experimental loss of xanthine dehydrogenase (XDH‐1) function in AIN and AVJ interneurons results in reduced cold tolerance and atypical neuronal response to changes in temperature. These interneurons connect with upstream neurons such as the mechanoreceptor‐expressing ASG. Ca 2+ imaging revealed that ASG neurons respond to warm temperature via the mechanoreceptor DEG‐1, a degenerin/epithelial Na + channel (DEG/ENaC), which in turn affects downstream AIN and AVJ circuits. Ectopic expression of DEG‐1 in the ASE gustatory neuron results in the acquisition of warm sensitivity, while electrophysiological analysis revealed that DEG‐1 and human MDEG1 were involved in warm sensation. Taken together, these results suggest that cold tolerance is regulated by mechanoreceptor‐mediated circuit calculation.

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)0.000
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 score0.212
Threshold uncertainty score0.586

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.008
GPT teacher head0.206
Teacher spread0.198 · 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

Citations48
Published2020
Admission routes1
Has abstractyes

Explore more

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