Structural remodeling of the N-terminus tunes TRPA1 channel activation and regulates behavioral responses in Drosophila
Bibliographic record
Abstract
Our bodies are constantly bombarded by a diversity of environmental stimuli, such as touch, taste, sound, smell, light, etc. To detect and process this broad array of signals, nature has evolved a variety of cellular sensory mechanisms and pathways that interface with the environment and transmit neural signals back to the CNS where they are translated into behavioral decisions. Transient Response Potential (TRP) cation channels were first identified in invertebrates (i.e., Drosophila) and represent a sizeable receptor/channel family in mammals, consisting of 28 individual members grouped into subclasses denoted TRPC, TRPV, TRPM, TRPML, TRPP and TRPA (for a recent review, see ref. 1). Although originally described as ion channels, we now know that many members of the TRP family also function as receptors for a range of stimuli, including temperature, pH, chemical compounds and membrane voltage. In fact, several TRP isoforms display multimodal sensitivity, meaning that they can respond to more than one stimulus. For example, TRPV1, or the capcaisin receptor, displays both thermal and chemical sensitivity, and the two stimuli may act synergistically to increase channel activity. Physiologically, TRP family members are expressed in a variety of sensory afferent nerves that feed environmental information to the CNS, and also in smaller C-type afferent fibers responsible for peripheral pain sensation and transmission. Therapeutically, manipulation of TRP channel activity may represent an effective strategy to treat peripheral pain associated with inflammation and chronic tissue injury.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".