Characterization of novel ligand-gated chloride channel subunits from «Haemonchus contortus»
Bibliographic record
Abstract
Ligand-gated chloride channels (LGCCs) are key components that form the inhibitory neurotransmission system in animals. Nematodes possess LGCCs that are gated by unique ligands such glutamate, serotonin and acetylcholine. Higher living forms such as mammals are not known to possess similar receptors. Hence nematodes can be deemed to comprise a phylum with a divergent inhibitory neurotransmission system. Based on this premise, the current project aimed to better understand the inhibitory nervous system of the parasitic nematode, Haemonchus contortus through the characterization of novel LGCC subunits and the localization of relevant ligands believed to function as inhibitory neurotransmitters. The first novel LGCC subunit gene to be isolated was named Hco-GGR-3 (previously named as HcGGR3). Electrophysiological analyses of this subunit in Xenopus laevis oocytes revealed the homomeric assembly of the channel which was predominately gated by dopamine (DA). Immuno-staining of H. contortus adult worms using antibodies raised against a peptide exclusive to Hco-GGR-3 showed that this subunit localized to deirid (cervical papilla) socket and sheath cells. Gender specific differences in localization of this subunit were also observed. In addition, a single nucleotide polymorphism located in the 3' untranslated region (UTR) of Hco-ggr-3 was found to be associated with the selection for resistance towards macrocyclic lactones (MLs) – moxidectin (MOF) and ivermectin (IVM) in H. contortus. A second amine-gated chloride channel gene called Hco-lgc-55 was also isolated. Electrophysiology of this subunit revealed that this channel was gated mainly by tyramine (TA) [EC50 5.8 ± 1.0 μM (n=5)] and a lesser extent by dopamine (DA) and octopamine (OA). Semi-quantitative reverse transcription polymerase chain reaction (SqRT-PCR) showed the presence of mRNA for Hco-lgc-55 in all the life-cycle stages of the parasite. A detailed examination of the localization and characterization o
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".