Expressed sequence tag analysis of the emu (Dromaius novaehollandiae) pituitary by 454 GS Junior pyrosequencing
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Emus (Dromaius novaehollandiae) are farmed for their oil for pharmaceutical and cosmetic uses. This emu pituitary expressed sequence tag study was undertaken to identify novel transcripts in the emu pituitary to propel their identification and functional studies. By mapping reads derived from the Roche 454 GS Junior pyrosequencer to 8 reference species (human, mouse, chicken, zebra finch, fruit fly, turkey, round worm, and Carolina anole lizard) from the UniGene database, a total of 81,788 reads (53,312 mapped reads) were obtained and assembled with Reference Sequence (RefSeq). We annotated 6,676 potential emu genes by referencing 7 species (excluding lizard) and identified 1,232 potential genes common among 3 species (human, mouse, and chicken) with complete available reference genomes. Gene Ontology analysis revealed 376 Gene Ontology terms showing, with the highest counts, their involvements in biological processes, metabolism, and cellular components. These potential genes were detected to associate with 20 pathways including mitogen-activated protein kinase, insulin, neurotrophin signaling pathways, and carbohydrate digestion and absorption pathway. We also revealed a panel of tissue-specific genes including regulator of G-protein signaling protein (RGS), glucagon-like peptide receptor (GLPR), and growth hormone-inducible transmembrane protein (GHITM). Additionally, fatty acid binding protein (FABP), fatty acid desaturase (FAS), and stearoyl-coenzyme A desaturase (SCD), key enzyme genes in fat metabolism, were found to be also expressed in emu pituitary. This expressed sequence tag study represents the first step in functional characterization of emu pituitary gene expression and SNP identification for the improvement of fat production in the emu.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it