Architecture and evolutionary conservation of <i>Xenopus tropicalis</i> osteoblast-specific regulatory regions shed light on bone diseases and early skeletal evolution
Notice bibliographique
Résumé
Abstract Understanding the genetic mechanisms underpinning the differentiation of osteoblasts, the bone producing cells, has far reaching implications for skeletal diseases and evolution. To this end, it is crucial to characterize osteoblastic regulatory landscape in a diverse array of distantly-related vertebrate species. By comparing of the ATAC-seq profile of Xenopus tropicalis ( Xt ) osteoblasts to liver, heart and lung control tissues, we identified 524 promoters and 6,750 distal regions whose chromatin is specifically open in osteoblasts. Nucleotide composition, Gene Ontology, and RNA-Seq confirmed that the identified elements correspond to bona fide osteogenic transcriptional enhancers, and TFBS enrichment revealed a well-conserved regulatory logic with mammals. Amongst the 357 Xt osteoblast-specific enhancers aligning to homologous human loci, 127 map to regions annotated as enhancers. Phenotype predictions based on the genes neighbouring these conserved enhancers are tightly related to impaired skeletal development. In addition, six conserved enhancers are located at loci associated to craniosynostosis ( mx2 , tcf12 ), osteopoikilosis ( lemd3 ), osteopenia ( gorab ), skeletal dysplasia ( flnb ) and craniofacial abnormalities ( gpc4 ). From an evolutionary perspective, the elephant shark genome aligns to 53 Xt osteoblast-specific enhancers that are also conserved and annotated as enhancers in humans, revealing an ancestral osteogenic role for the ATOH8, IRX3, NFAT, NFIB and MEF2C transcription factors, as well as for the FGF, IHH and BMP/TGFb signalling pathways. As the absence of bone in sharks is a derived feature, we propose that, in this lineage, the osteogenic regulatory network has been maintained for its function in odontoblasts. Our data argues in favour of a common origin for dentine and bone, and provides a glimpse into the key regulatory elements and upstream activators that drove the formation of an ancient type of mineralized tissue in the vertebrates that inhabited the oceans more than 460 million years ago. Author Summary During animal embryogenesis, distinct type of tissues are formed and assembled, resulting in an integrated, functional organism. During this process, cells must make important decisions, which largely rely on an accurate use of their genetic material. Here, we have studied how the genome “knows” that it must participate to the formation of the bone tissue in a frog animal model. We therefore identified important genomic regions that are involved in driving the expression of genes involved in the formation of a mineralized skeleton. On the one hand, we show that some of these regions are also present in humans, and, therefore, skeletal pathologies could be studied in the frog model at a genetic level. On the other hand, we also identify regions that are present in the genome of a shark, which allows us to propose an evolutionary framework for the early evolutionary origin of the vertebrate skeleton.
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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) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 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) | 0,002 | 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 ».