Gene Expression Patterns in Functionally Different Cochlear Compartments of the Newborn Rat
Bibliographic record
Abstract
In an experimental model of organotypic cultures of the stria vascularis (SV), the organ of Corti (OC) and the modiolus (MOD), we compared the expression levels and injury/hypoxia induced response of 36 genes associated with the cells´ energy-producing and energy-consuming processes, using the microarray technique. A decrease of expression was observed for most of the voltage-dependent K+- and Ca++- channels as an effective mechanism to lower energetic demands. We identified two gene networks of transcripts that are differentially expressed across the three regions. One cluster is associated with the transcription factor hypoxia-inducing factor (Hif-1a) and the second one with the caspase and calpain cell death genes Casp3, Capn1, Capn2 and Capns1. The Hif-1a gene subset consists of genes belonging to the glucose metabolism (glucose transporter Slc2a1, glycolytic enzymes Gapdh, Hk1 and Eno2), the Na+/K+ homeostasis (ATPase Atp1a1) and the glutamate pathway (NMDA receptor associated protein 1 Grina, glutamate transporter Slc1a1, Slc1a3). The Slc2a1, Gapdh, Hk1, Slc1a3, Grina and Atp1a1 transcripts are also members of the cell death subset indicating a role they have to play in the differential regional cell death rates. The newly identified genes Grina and calnexin (Canx) may play specific and yet unknown roles in regulating cell death induced by injury and hypoxia in the inner ear. We assume that the differential regional response occurs on the basis of endogenous gene regulatory mechanisms and may be important to maintaining the cochlea’s function following damage from trauma and hypoxia.
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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 | 0.000 |
| 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".