Disrupted Expression of the Splicing Regulators Tra2-Beta and SRSF1 and Subsequent Aberrant Splicing of FLVCR1 Transcript As an Underlying Mechanism for the Erythropoietic Failure Observed in Diamond-Blackfan Anemia
Notice bibliographique
Résumé
Abstract Diamond Blackfan Anemia (DBA) is a rare inherited anemia caused by disruption of erythroid progenitor cell development at the burst-forming and colony-forming units. Approximately 50% of DBA patients have additional non-hematopoietic abnormalities including heart defects and short stature. Sixteen genes encoding specific ribosomal proteins (RPs) and the transcription factor GATA1 have been found mutated in approximately 65% of DBA patients, with the RPS19 gene being mutated in 25% of patients. Because RPs are components of the ribosome that is critical for protein synthesis, the identification of RP mutations suggest a translation deficiency as a mechanism for erythroid progenitor failure. However, erythropoietic failure in DBA may arise by causes other non-translational functions of the DBA genes. We have previously reported that inhibiting the heme exporter protein FLVCR1 in human hematopoietic stem cells and progenitors (HSC/Ps), is sufficient to specifically block erythropoiesis, which mimics the hematological features observed in DBA. Moreover, we reported aberrant splicing of exons (E) 2 and 3 of the FLVCR1 transcript in DBA erythroid cells that resulted in disruption of FLVCR1 protein expression and function. We observed aberrant FLVCR1 splicing in erythroid cells from patients with RPS19 and RPL5 mutations and from typical DBA patients whose genetic background has not been known at that time; thus, suggesting FLVCR1 dysfunction as central for the DBA erythropoietic failure. In the present work, we obtained evidence suggesting that DBA pathogenesis is caused by abnormality in the cellular splicing machinery. We performed In silico analysis of the binding motifs of seven SR proteins on each of the FLVCR1 exons. We found binding motifs for TRA2-β, SRSF1 and 9G8 on E2 and/or E3, the two FLVCR1 exons that are skipped in DBA erythroid cells and in RPS19-disrupted K562 cells. We focused on expression analysis of TRA2B and SRSF1 in RPS19-reduced K562 cells. Expression of both TRA2B and SRSF1 mRNA were significantly disrupted in RPS19-disrupted K562 cells, which correlated with disrupted expression of their respective proteins. To test the specificity of disrupted SR splicing regulators and aberrant FLVCR1 splicing, we analyzed TRA2-β, and SRSF1 protein expression, and FLVCR1 aberrant splicing, in K562 cells disrupted in SBDS gene. The SBDS gene product is critical for ribosome biogenesis and the gene is mutated in 90% of patients with Shwachman-Diamond Syndrome. Interestingly, K562 cells down-regulated in SBDS showed normal levels of TRA2-β and SRSF1 expression, and no FLVCR1 aberrant splicing was observed. Importantly, erythroid differentiation potential of the DBA cell model can be rescued by expression of exogenous Tra2-β cDNA or FLVCR1 cDNA. Altogether our data suggests that mutations in the ribosome protein genes in DBA result in down-regulation of the splicing factors, TRA2-β and SRSF1, which impair normal FLVCR1 splicing and consequently erythropoiesis failure. Disclosures No relevant conflicts of interest to declare.
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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 | 0,000 | 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) | 0,001 | 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 ».