Retrospective model utilizing biopsies, granulosa cells, and polar body to predict oocyte competence in bovine
Notice bibliographique
Résumé
Developmental competence is obtained by a series of morphological and molecular changes during mammalian oocyte growth within the ovulatory follicle. This entails the accumulation of cytoplasmic transcripts that will be used throughout the early stages of development prior to embryonic genome activation, a process known as ooplasm maturation. Furthermore, during follicular growth, epigenetic maturation occurs, which is essential for appropriate embryo development. We believe that transcripts and DNA methylation differ between blastocyst oocytes and those that cleaved but were arrested on day three. We devised a retrospective technique to identify transcripts in oocyte, cumulus, and granulosa cells, as well as DNA methylation connected with oocyte competence, in this work. We dissected and harvested ovarian follicles to achieve this purpose. We extracted and flash frozen the granulosa cells after rupturing them. The oocytes were put in maturation media droplets, and the cumulus cells and polar body were removed and kept the following day. To prevent spermatozoon interference, we chemically activated the oocytes and tracked their development (until they reached the blastocyst stage). We went back to their biopsies, cumulus cells, and polar bodies and did RNA-seq (biopsies and cumulus) and single polar body WGBS (polar bodies) when we collected the results 7 days later, i.e. 1-) embryos that cleaved but stopped development (termed CL) or 2-) embryos that cleaved and progressed until the blastocyst stage (termed BL). Additionally, after transcriptome results from oocyte-biopsy and cumulus cells, the granulosa cells from their individual oocytes were sequenced as a noninvasive strategy. This study is a follow-up to our previous work, “ Assessment of Total Oocyte Transcripts Representation in bovine Using Single Ooplasm Biopsy with High Reliability. ” Following sequencing, we discovered that the two groups, BL x CL, were transcriptionally different in granulosa and biopsy samples, although cumulus cells were a poor predictor of oocyte competence. By analyzing the differentially expressed genes, we discovered multiple genes and pathways related to oocyte competency, demonstrating the efficacy of our method. Despite no change in morphology, these alterations in pathways and genes show that the oocyte CL group was transcriptionally and epigenetically delayed, with ferroptosis and necroptosis processes activated. The oocyte BL group demonstrated numerous molecular signaling, oocyte meiosis, GnRH signaling, G-protein cascade, and RNA stability pathways. In network analysis, we discovered GNAS , an imprinted gene and one of the most important essential genes. The transcripts from granulosa cells confirm the oocyte results. Nonetheless, transcriptional variations in granulosa cells were far greater than those in oocytes (97% × 34% variance), implying a completely distinct transcriptome in the follicular niche. In terms of the WGBS, we discovered differentially methylated areas linked with oocyte competency, as well as transcriptome results confirming the structure’s ability to predict outcome. These findings might be beneficial in clinical settings for those undergoing infertility therapy. In the oocyte, we discovered a complex transcriptional and epigenetic regulation network. Furthermore, mature cumulus transcription produced information that differed from the true content of the MII oocyte and granulosa cells before maturity. Our findings underscore the significance of maternal transcripts and epigenetic maturation in early parthenogenesis, as well as the use of granulosa cells as early indicators of competence.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».