Isolation of an mRNA binding protein homologue that is expressed in nociceptors
Bibliographic record
Abstract
The peripheral detection of painful stimuli requires the activation of small-diameter primary afferent neurons known as nociceptors. We have exploited two features of nociceptor biology, expression of the high affinity receptor for nerve growth factor (TrkA) and sensitivity to capsaicin, to isolate novel proteins using a differential display cloning scheme. A resulting approximately 4.3-kb cDNA was isolated and sequence analysis inferred a approximately 157-kDa protein containing a signal/mitochondrial targeting peptide sequence. Due to its molecular weight and significant amino acid identity with 'human leucine-rich protein 130'[leucine-rich pentatricopeptide motif containing (LRPPRC)], we termed the cDNA candidate leucine-rich protein 157 (rLRP157). Western blot analysis of HEK293 cells over-expressing the candidate cDNA showed a single protein product of similar size to that found in rat dorsal root ganglion as well as in other neuronal tissues and cell lines. Although expressed in a wide variety of tissues, in situ hybridization and immunohistochemistry in dorsal root ganglion revealed that rLRP157 expression was restricted to the small-diameter neurons. Sequence identity with previously characterized mRNA binding proteins and its subcellular localization in sensory neurons suggest that rLRP157 is associated with mitochondrial function. Moreover, the genetic basis of French-Canadian Leigh syndrome, which confers a loss of mitochondrial cytochrome c oxidase and is characterized by neurodegeneration, was recently mapped to a mutation in the LRPPRC gene. Taken together with its expression in small-diameter sensory neurons, we hypothesize that rLRP157, the rat orthologue of the human LRPPRC, may play a role in the modulation of peripheral pain transduction and serve as a novel marker for nociceptor subtypes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".