Bone Marrow Failure and Developmental Delay Caused By Mutations in Poly(A)-Specific Ribonuclease
Notice bibliographique
Résumé
Abstract Background: Deadenylation is a major mechanism that regulates RNA function and fate. Several mammalian deadenylases have been identified. Poly (A)-specific ribonuclease (PARN) is one of the major mammalian deadenylases that trims single-stranded poly (A) tails of mRNAs and oligoadenylated tails of H/ACA box snoRNAs and microRNAs. RNA biogenesis has emerged as a mechanism underlying several inherited diseases including well known inherited bone marrow failure syndromes (IBMFSs) such as Diamond Blackfan anemia, dyskeratosis congenita and Shwachman-Diamond syndrome. Little is known about the biological significance of germline mutations in PARN. Methods: Genome-wide screen for copy number alterations was used to identify causal mutations in patients with hematological and neurological manifestations. Four patients were identified with deletions in the PARN gene. Genomic, biochemical, cellular and knockdown experiments in human bone marrow cells and in zebrafish have been performed to clarify the role of PARN in the human disease. Results: We identified large monoallelic deletions in PARN in four patients with developmental delay or mental illness. One patient in particular had a severe neurological phenotype, central hypomyelination, and severe bone marrow failure. This patient had an additional missense mutation on the non-deleted allele and had severely reduced PARN protein and deadenylation activity. Clonogenic assays of the patient's bone marrow cells showed reduced potential to generate hematopoietic colony. Fibroblasts from the patient with biallelic mutations showed markedly slow growth. Large proportion of the cells accumulated in the G1/G0 phase of cell cycle, suggesting impaired transition from G1 to the S phase. Cells from this patient also had impaired oligoadenylation of specific H/ACA box snoRNAs and scaRNAs, including the telomerase RNA component (TERC). Importantly, PARN-deficient patient cells manifested abnormalities in two pathways that are affected in IBMFSs: short telomeres and an aberrant ribosome profile. This combination of abnormalities is seen in patients with severe variants of dyskeratosis congenita (Hoyeraal-Hreidarsson syndrome). Knocking down PARN in human CD34+ marrow cells from healthy donors revealed marked defect in clonogenic potential. Morpholino knockdown of parn in zebrafish resulted in reduced formation of red blood cells and granulocytes. Conclusions: We report for the first time four patients from three different families with developmental delay or mental illness, who carried large monoallelic PARN deletions that have not been reported in healthy controls. This indicates that large PARN deletions in humans result in a neurological phenotype. Further, we showed that biallelic PARN mutations that results in markedly reduced protein, cause severe bone marrow failure and severe global central hypomyelination, similar to what is seen in patients with severe forms of dyskeratosis congenita. The identified defects suggest a new disease mechanism, in which PARN-deficiency disrupts the polyadenylated state of H/ACA box RNA molecules that in turn influences ribosome profile and telomere length and cause hematological and neurological defects. Disclosures No relevant conflicts of interest to declare.
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) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».