Early Gene Expression Profile in Mouse Brain after Exposure to Ionizing Radiation
Bibliographic record
Abstract
Acute changes in the gene expression profile in mouse brain after exposure to ionizing radiation were studied using microarray analysis. RNA was isolated at 0.25, 1, 5 and 24 h after exposure to 20 Gy and at 5 h after exposure of the whole brain of adult mice to 2 or 10 Gy. RNA was hybridized onto 15K cDNA microarrays, and data were analyzed using GeneSpring and Significant Analysis of Microarray. Radiation modulated the expression of 128, 334, 325 and 155 genes and ESTs at 0.25, 1, 5 and 24 h after 20 Gy and 60 and 168 at 5 h after 2 and 10 Gy, respectively. The expression profiles showed dose- and time-dependent changes in both expression levels and numbers of differentially modulated genes and ESTs. Seventy-eight genes were modulated at two or more times. Differentially modulated genes were associated with 12 different classes of molecular function and 24 different biological pathways and showed time- and dose-dependent changes. The change in expression of four genes (Jak3, Dffb, Nsep1 and Terf1) after irradiation was validated using quantitative real-time PCR. Up-regulation of Jak3 was observed in another mouse strain. In mouse brain, there was an increase of Jak3 immunoreactivity after irradiation. In conclusion, changes in the gene profile in the brain after irradiation are complex and are dependent on time and dose, and genes with diverse functions and pathways are modulated.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".