Investigating the Molecular Effects of Superovulation and Embryo Culture on Genomic Imprinting in a Mouse Model System.
Bibliographic record
Abstract
Genomic imprinting is a specialized transcriptional mechanism that results in the unequal expression of alleles based on their parent-of-origin. Many imprinted genes have been shown to be critical for proper embryonic and fetal development, and disruption of genomic imprinting at these loci has been associated with many development disorders. Recently, increased frequencies of many imprinting disorders have been correlated with the use of assisted reproductive technologies (ARTs). Rigorous and thorough testing of ARTs is required to determine their influence on processes of genomic imprinting. I hypothesize that the acquisition of genomic imprinting in developing germ cells is disrupted by superovulation, and that imprinting maintenance mechanisms are disrupted during early mouse development by culture media used in human ARTs. We have developed a method to evaluate the methylation and expression patterns of known imprinted genes from individual blastocysts. We utilized this technique to separately address the effects of two different hormone dosages, and six different culture media on imprinted methylation and expression. Superovulation resulted in a loss of imprinted methylation at both hormone concentrations tested, in a dose-dependent manner, and embryo culture resulted in a loss of imprinted methylation in all media tested. We conclude that both imprint acquisition and imprint maintenance can be perturbed by assisted reproductive technologies. Further analysis and use of our novel technique will allow more accurate and comprehensive study of the epigenetic effects of various environmental insults on the preimplantation embryo. (poster)
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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) | 0.001 | 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 | 0.001 |
| 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".