Global Transcriptome Analysis of Porcine Oocyte, Granulosa, and Theca Cells to Identify Potential Secreted Factors and Receptors Involved in Cell-to-cell Interactions During Pre-Ovulatory Follicle Development.
Notice bibliographique
Résumé
Pre-ovulatory follicle development is a complex process involving extra-ovarian factors such as the gonadotrophins, and local growth factors produced by the oocyte, granulosa and theca cells. Although the role of the gonatrophins has been extensively studied during porcine pre-ovulatory follicle development, the intrafollicular cell-to-cell interactions necessary for proper follicle development remains somewhat elusive. Hence, a better understanding of the identity and the role of the many local growth factors and their corresponding receptors would greatly improve our understanding of the complex intrafollicular regulatory mechanisms necessary for porcine follicle development. Therefore, the objective of this study was to identify both the potential secreted factors produced by oocyte, granulosa and theca cells as well as the corresponding receptors expressed by these cell types during the period of preovulatory follicle growth in the pig. Oocyte, granulosa cells and theca cells were recovered by dissection from antral follicles (2-10 mm in diameter) obtained from first parity sows at day 1, 2 and 4 after weaning and at day 14, 16 and 20 of their subsequent estrous cycle. These time points correspond to specific phases of follicular growth; the recruitment of a growing cohort of follicles, the mid-selection phase and the final selection of the pre-ovulatory follicle population. Gene expression analysis was performed in duplicate on a pool of RNA from each cell type representing all the aforementioned stages using the Affymetrix Porcine Genome Array. The RNA amplification and labelling and the hybridization to the Affymetrix gene chip was performed at the Molecular Biology Core in the Centre for Reproductive Biology at Washington State University. The microarray image data were converted to numerical data with the GeneChip Operating Software (GCOS) using a global scaling strategy. In GCOS, a gene list was generated for each cell type and in order for a gene to be considered expressed, it had to be tagged as present in the GCOS absent/present call and have an expression level >50. Gene ontology annotation of the genes expressed in the different cell types was performed using GOTreePlus and a list of transcripts falling under the gene ontology term extracellular region, extracellular space and receptor activity was generated. Our preliminary observations reveal that gene encoding the TGF-β superfamily members, the EGF/EGF-like ligands, the IGF system as well as a variety of angiogenesis factors appears to be important for porcine follicle development. Interestingly, many of these factors appear to be localized to specific cell-types in the follicle. Future studies using real-time PCR will be carried out to confirm the expression of those candidate genes in each cell type and to determine their temporal expression patterns during follicle recruitment, mid-selection and final selection before and after the LH surge. (poster)
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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 ».