Pre‐ and post‐puberty expression of genes and proteins in the uterus of <i>Bos indicus</i> heifers: the luteal phase effect post‐puberty
Bibliographic record
Abstract
Summary Progesterone signaling and uterine function are crucial in terms of pregnancy establishment. To investigate how the uterine tissue and its secretion changes in relation to puberty, we sampled tissue and uterine fluid from six pre‐ and six post‐pubertal Brahman heifers. Post‐pubertal heifers were sampled in the luteal phase. Gene expression of the uterine tissue was investigated with RNA ‐sequencing, whereas the uterine fluid was used for protein profiling with mass spectrometry. A total of 4034 genes were differentially expressed ( DE ) at a nominal P ‐value of 0.05, and 26 genes were significantly DE after Bonferroni correction ( P < 3.1 × 10 −6 ). We also identified 79 proteins (out of 230 proteins) that were DE ( P < 1 × 10 −5 ) in the uterine fluid. When we compared proteomics and transcriptome results, four DE proteins were identified as being encoded by DE genes: OVGP 1, GRP , CAP 1 and HBA . Except for CAP 1 , the other three had lower expression post‐puberty. The function of these four genes hypothetically related to preparation of the uterus for a potential pregnancy is discussed in the context of puberty. All DE genes and proteins were also used in pathway and ontology enrichment analyses to investigate overall function. The DE genes were enriched for terms related to ribosomal activity. Transcription factors that were deemed key regulators of DE genes are also reported. Transcription factors ZNF 567 , ZNF 775 , RELA , PIAS 2 , LHX 4 , SOX 2 , MEF 2C , ZNF 354C , HMG 20A , TCF 7L2 , ZNF 420 , HIC 1 , GTF 3A and two novel genes had the highest regulatory impact factor scores. These data can help to understand how puberty influences uterine function.
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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 | 0.001 |
| 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".