Molecular cloning, localization and characterization of a 40‐kDa catecholamine‐regulated protein
Bibliographic record
Abstract
We have previously described catecholamine-regulated proteins of molecular masses 47, 40 and 26 kDa (CRP47/40/26). In mammals, these proteins are detected only in brain and have been implicated as playing a role in dopaminergic neurotransmission. In this report, we have cloned the cDNA encoding CRP40 from bovine brain. Analysis of the predicted amino acid sequence revealed that the CRP40 product contains an hsp70 motif and shares homology with heat-shock protein hsp70. Immunolocalization studies using mAbs to dopamine show that it colocalizes with CRP40 in the vesicles of dopaminergic neuroblastoma SH-SY5Y cells. The constitutive expression of CRP40 was increased by exposure to heat shock similar to inducible heat-shock protein hsp70 in SH-SY5Y cells. Dopamine significantly modulated the levels of CRP40, whereas, the expression of hsp70 remained unchanged upon dopamine treatment of these cells. Moreover, CRP40 is able to prevent the thermal aggregation of luciferase in vitro, similar to hsp70, suggesting that CRP40 encodes a dopamine-inducible protein with properties similar to heat-shock proteins. The immunofluorescence analyses show that in SH-SY5Y cells, CRP40 translocates to the nucleus during dopamine-induced apoptosis. These results suggest that CRP40 could play a protective role against the harmful effects of catecholamine metabolites.
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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 | 0.001 |
| Bibliometrics | 0.001 | 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".