mRNA expression of transient receptor potential melastatin (TRPM) channels 2 and 7 in perinatal brain development
Bibliographic record
Abstract
TRPM7 and TRPM2 are non-specific cation channels of the Transient Receptor Potential channel superfamily. Each channel has gained attention for their potential to mediate oxidative and anoxic cell death (Rama and García, 2016; Nazıroğlu, 2011a; Abiria et al., 2017; Sun, 2017), however their physiological expression and roles in the developing brain remain poorly defined. We employed real-time reverse transcription PCR to examine mRNA expression of TRPM7 and TRPM2 in the developing rat brain and brain-specific cell types. We determined the temporal and spatial expression patterns at four developmental time points (postnatal day 7, 14, 21, and 90) in four critical regions of the brain (cortex, hippocampus, striatum, and cerebellum) and examined gene expression in neuronal, astrocytic, and microglial primary cell cultures. Our results revealed that TRPM7 mRNA expression peaks in the cortex at 2-weeks after birth, and thus correlates most closely with a period of rat brain development associated with neurite outgrowth, which is heightened at 2-weeks after birth. Our cell-specific gene expression assays revealed that TRPM7 was expressed at equivalent levels in neurons, astrocytes, and microglia. Conversely, TRPM2 was most highly expressed in microglia with little expression in neurons and astrocytes. In the hippocampus and striatum, the expression profile of TRPM2 parallels the perinatal expression timeline for microglial infiltration and maturation in the rat brain. Microglial maturation is highest from the time of birth, up to 7-days, but subsequently declines. The latter developmental expression profiles indicate a role for TRPM2 in microglial activation.
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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 | 0.000 |
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".