Tyrosine hydroxylase‐positive neurons intrinsic to the human striatum express the transcription factor<i>Nurr1</i>
Bibliographic record
Abstract
The putative dopaminergic (DA) neurons intrinsic to human striatum were studied to determine their similarity with DA neurons of the substantia nigra pars compacta (SNpc). The comparison was based on morphological features and on the presence or absence of Nurr1, an orphan receptor of the nuclear receptor family that is essential for the expression of DA phenotype by developing SNpc neurons. Immunohistochemistry for the neuronal nuclear protein (NeuN; a neuronal marker) and in situ hybridization for tyrosine hydroxylase (TH) and/or Nurr1 were applied to post-mortem tissue obtained from seven normal individuals. On one hand, the TH-positive multipolar neurons in the human striatum, which were subdivided into three groups according to their size and pattern of dendritic arborization, were found to be morphologically similar to TH-positive neurons of the SNpc. The distribution frequency of striatal TH-positive neurons, according to their diameter, closely matches the frequency observed for multipolar TH-positive cells in the SNpc. On the other hand, the proportion of neurons expressing Nurr1 and TH mRNA transcripts on single striatal section was similar to the proportion of TH-immunoreactive neurons observed on adjacent sections. More importantly, in each striatum analysed, virtually all cells that stained for TH also expressed NeuN and Nurr1. This study provides novel data that confirm the existence of DA neurons intrinsic to the human striatum. It also provides the first evidence for the existence of striking morphological and chemical similarities between the DA neurons present at striatal level and those that populate the SNpc.
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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".