The quantification of the distribution of proteins Kir, GLT-1, and mGluR5 in murine astrocytes
Bibliographic record
Abstract
Astrocytes, a type of glial cell found within the central nervous system, are morphologically complex, and their processes are not well defined structurally or functionally. It is unknown how these processes accommodate regional demands. Small morphological and functional regions, that are highly specialized for homeostasis or synaptic signaling, may be located along the lengths of astrocyte processes. Previous research has begun to identify the distribution of proteins within astrocytes. In this study the processes, and the distribution of clusters of proteins or “puncta”, on seven previously imaged astrocytes, were analyzed using 3-D rendered surfaces generated in ImarisTM, a confocal analysis imaging software. The patterns for three proteins: mGluR5, a metabotropic glutamate receptor (n=30), GLT-1, a glutamate transporter (n=30), and Kir 4.1, an inward rectifying potassium channel (n=10) were examined along the lengths of individual processes. mGluR5 is a protein involved in synaptic signaling, and both GLT-1 and Kir 4.1 are considered more homeostatic. This study suggests that clustered regions of GLT-1 and Kir 4.1 are present within astrocytic processes, but that mGluR5 is more homogenously distributed, indicating that there may be subdomains for specialized functions within astrocytes. * Indicates faculty mentor.
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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 | 0.001 | 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) | 0.001 | 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".