Mutations in TERT, the Gene Encoding Telomerase Reverse Transcriptase, in “Acquired” Aplastic Anemia Inhibit Enzymatic Function by a Dominant Negative Mechanism of Action.
Notice bibliographique
Résumé
Abstract About one third of patients with acquired aplastic anemia (AA) have very short telomeres of their peripheral blood leukocytes; short telomeres correlate to long disease duration and poor response to immunosuppressive therapy. We have recently shown that some cases of apparently “acquired” AA have mutations in TERC, the gene encoding the RNA component of telomerase (Fogarty et al., Lancet2003;632:1628; Yamaguchi et al., Blood2003;102:916). In the current study, we examined TERT, the gene encoding the telomerase reverse transcriptase, by sequencing the gene’s exons and proximal promoter region in peripheral blood DNA samples from 122 patients with AA and 282 controls. Four novel nonsynonymous mutations among five patients, not present in controls, were discovered; three polymorphisms were identified, two nonsynonymous SNPs and one deletion of a single amino acid. To investigate the functional consequences of the mutations, telomere lengths of leukocytes were assessed by flow cytometric fluorescence in situ hybridization (flow-FISH). All patients carrying TERT mutations had markedly short telomeres compared to age-matched controls, as opposed to other AA patients with polymorphisms, whose telomeres were normal. In one patient’s kindred, presence of the TERT mutation in other family members correlated to telomere shortening; non-carriers had normal telomeres. Telomerase function in patients’ T cells, activated by phytohemagglutinin and interleukin-2 to increase enzymatic activity, was measured by the telomeric repeat amplification protocol (TRAP). In all mutant AA patients evaluated, cell lysates yielded very low or no telomerase activity, as compared to normal controls. We cloned the AA-related mutations into a TERT expression vector and co-transfected these vectors into VA13 cells (with a TERC-containing vector, as this cell line does not have telomerase activity due to absent TERC and TERT expression). All mutant TERT-containing cell lysates were severely deficient in enzymatic activity. TERT gene expression, as evaluated by Northern blot, was normal in cells transfected with the mutated genes. When vectors containing wild-type TERT and individual TERT mutations were cotransfected, telomerase activity was dramatically reduced, in comparison to transfection of wild-type TERT vector only. These results indicate a dominant negative mechanism of action of TERT mutations as responsible for the absence of telomerase activity in AA patients’ cells. Family members lacking telomerase activity have short telomeres but appear physically normal and have no hematological abnormalities. In a provisional model of the telomere repair complex and marrow failure, mutations in DKC1 and the stability regions of TERC cause dyskeratosis congenita, with early presentation and associated physical anomalies. Mutations that affect the enzyme-binding region of TERC and in TERT, the reverse transcriptase itself, lead to a constitutionally reduced stem cell compartment and appear to be genetic risk factors for the development of “acquired” aplastic anemia.
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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 ».