Distribution of an NMDA receptor:GFP fusion protein in sensory neurons is altered by a C-terminal construct
Bibliographic record
Abstract
The NMDA receptor plays an important role in mediating sensory input to the spinal cord. Domains within the C-terminus of the NMDA receptor bind to cytoskeletal proteins and facilitate membrane targeting and synaptic clustering, and may participate in regulation of receptor function. One strategy to manipulate NMDA receptor function is to express C-terminal constructs in neurons to disrupt synaptic clustering via competition for binding motifs in cytoskeletal proteins and postsynaptic densities. Biolistic particle-mediated gene transfer was used to deliver plasmid DNA into organotypic cultures of dorsal root ganglia (DRG). Fusion proteins consisting of recombinant (r)NMDA receptor subunit 1-1 (rNR1-1) deletion constructs and enhanced green fluorescent protein (GFP) were expressed in sensory neurons and demonstrated unique distribution patterns within the cell. Expression of the full length rNR1-1:GFP construct was cytosolic and localized to membranous patches similar to endogenous NR1-1 protein expression in sensory neurons. Expression of a construct containing only the C-terminus, GFP:C0C1C2, demonstrated nuclear and membranous localization. When the GFP:C0C1C2 construct was co-expressed with rNR1-1 in sensory neurons, membranous localization of rNR1-1 was disrupted. In contrast, co-expression of a C-terminal cassette lacking the C1 exon cassette, GFP:C0C2, with rNR1-1 did not alter the membranous distribution of rNR1-1. This observation verifies the utility of a gene transfer strategy to diminish membranous NR1-1 content by expressing a construct containing the C1 exon cassette.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".