The Research of Ovarian Proteomics of Dolang Sheep at Different Physiological Periods Based on iTRAQ Technology
Bibliographic record
Abstract
Too screen the differentially expressed ovary proteins in Dolang sheep with oestrum, anestrus and pregnancy using isobaric tag for relative and absolute quantitation (iTRAQ) technology, which will provide the basis for the research of regulation and identification of oestrum, the diagnosis of early pregnancy. In total, we identified 4847 proteins, 470 of which were significantly different proteins. Compared with anestrus, 18 proteins were up-regulated and 102 proteins were down-regulated in oestrum, 20 proteins were up-regulated and 60 proteins were down-regulated in pregnancy; Compared with oestrum, 50 proteins were up-regulated and 24 proteins were down-regulated during pregnancy. Such as cyclin-YisoformX1、tubulin alpha chain-like 3、cleavages timulation factor subunit1 isoform X1、nicotinate phosphoribosyltransferase isoform X1、integrinalpha-Mprecursor、cyclin-Y-like protein1iso form X1、cyclin-dependent kinase16 isoform X1 at up-regulated，follistatin-related protein1 isoform X2、histone H2B type2-F、heatshock protein beta-6 isoform X1 at down-regulated, which were related to hormones generation, regulation of oestrum, zygote production and apoptosis, early embryo attachment and embryo development. Of which, cyclin-Y isoform X1 and nicotinate phosphoribosyltransferase isoform X1 significant increase in pregnancy, compared with oestrum and anestrus. The study will help to identify different proteins at oestrum and pregnancy of Dolang sheep based on iTRAQ proteomics technology, which provide new thoughts and methods to further exploring the candidate biomarkers of sheep estrous identification and diagnosis of early gestation.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".