21 The contrasting role of histone methyltransferases during nuclear reprogramming: SUV39H knockdown improves bovine somatic cell nuclear transfer, while the absence of EHMT2 hampers it
Notice bibliographique
Résumé
The persistence of somatic epigenetic memory is indicated as the main barrier for efficient nuclear reprogramming. The augmented levels of histone methylation on somatic nuclei have been shown as the major regulator of this aberrant remodelling. Although they occupy the same site, H3K9me2 and H3K9me3 are catalysed by different histone methyltransferases (HMTs), EHMT2 and SUV39H, respectively. However, the influence of these HMTs during nuclear reprogramming is unclear. Hence, the main goal of this project was to investigate the role of HMTs responsible for H3K9 methylation during nuclear reprogramming and its consequences on embryo development. For this, we employed a small interfering RNA (siRNA)-mediated knockdown approach targeting EHMT2, SUV39H1, and SUV39H2 in bovine fetal fibroblasts. The RT-qPCR analyses showed ~80% reduction in total RNA after siRNA treatments for the target genes when compared with the control vector. We then quantified the H3K9me2 and H3K9me3 levels by immunostaining. The analysis displayed that H3K9me2 levels were diminished ~50% compared with control, whereas the reduction of H3K9me3 levels was only ~25%. Cells transfected with siRNA targeting EHMT2, SUV39H1, and SUV39H2 (All-siRNA) or control vector (control) were used as a nuclear donor on somatic cell nuclear transfer (SCNT) in five biological replicates. The IVF embryos were used as a biological control for immunostaining analysis. Embryos at both 8- to 16-cell and blastocysts stage (n = 10 from 5 replicates) were collected to evaluate the effect of HMT knockdown on H3K9me2 and H3K9me3 levels by immunostaining. We found a reduction of blastocyst rates in the treatment 28 ± 6.3 (mean ± s.e.m.) when compared with control 60 ± 4.8 (P = 0.004). The immunostaining analysis showed that the levels of H3K9me2 and H3K9me3 were higher in cloned (control) than IVF embryos (P < 0.05). Moreover, the All-siRNA group displayed a reduction in H3K9me2 levels compared with the control group and IVF through developmental stages analysed (P < 0.05). Differently, H3K9me3 levels were higher in the All-siRNA group at the 8- to 16-cell stage, but no difference was found between treated and control groups at the blastocyst stage. We, therefore, decided to test whether individual knockdown would display a different result. We then used cells transfected with siRNA targeting only EHMT2 (EHMT2-siRNA), targeting SUV39H1 + SUV39H2 (SUV-siRNA), or control vector (control) as a nuclear donor on SCNT in five biological replicates. Surprisingly, the SUV-siRNA group increased blastocyst production 38 ± 4.4 when compared with the control group 29 ± 4.4 (P = 0.01), whereas the EHMT2-siRNA showed a reduction in blastocyst rates: 21 ± 5.6 (P = 0.04). Our results indicate that EHMT2 has a key role during SCNT, possibly by its crosstalk with other modifications. Even though the SUV39H knockdown induced a small reduction in H3K9me3 levels in the nuclear donor, it was enough to increase the blastocyst rates by 10%. These results will allow us to better understand the complex mechanisms involved in the persistent epigenetic memory during nuclear reprogramming.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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) | 0,000 | 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 tête enseignante, 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 ».