Dichotomous Regulation of Lysosomes By MYC and Tfeb Controls Hematopoietic Stem Cell Fate
Notice bibliographique
Résumé
Human long-term hematopoietic stem cells (LT-HSC) residing at the top of the hematopoietic hierarchy must meet enormous daily demand (~10e11 cells daily) while also sustaining life-long maintenance of the stem cell pool through self-renewal. This hierarchical organization is widely thought to protect LT-HSC from exhaustion by maintaining them in a quiescent and undifferentiated state, activating only in response to microenvironment signals to generate highly proliferative but more short-lived populations including short-term HSC (ST-HSC) and committed progenitors. When called upon to exit this dormant state, HSC must respond and adapt their metabolism and nutrient uptake to meet increased bioenergetic demands for cell growth and differentiation. At the same time, the events underlying cellular and metabolic activation must also be suppressed to allow LT-HSC to re-enter quiescence and ultimately maintain the LT-HSC pool through self-renewal. Thus, proper sensing of cellular output demands must be coordinated with the cell cycle and metabolic machinery of LT-HSC to balance stem cell fates and maintain hematopoietic homeostasis. However, the regulatory circuits of this demand-adapted regulation of early hematopoiesis are largely unknown. The ability of cells to receive signals or take up nutrients depends on proteins that are embedded within the plasma membrane. These proteins move to the cell's interior through endocytosis and can be degraded in the lysosomes or rerouted back to the cell surface and reused. Moreover, lysosomes are the terminal catabolic stations of the autophagy pathway that is essential for preserving stem cell function through clearance of toxic cellular components. However, little is known about the regulation and role of lysosomes in the stem cell context. Here, we describe the unexpected finding that lysosomes, whose activity is intricately balanced by TFEB and MYC, are instrumental for regulating the stemness and differentiation properties of human LT-HSC. Furthermore, we found that TFEB, which is normally implicated in stress response, induces a constitutive lysosomal flux in unperturbed LT-HSC that actively maintains quiescence, preserves self-renewal and governs lineage commitment. These effects are accompanied by endolysosomal degradation of membrane receptors, such as the transferrin receptor 1 (TfR1), pointing to a role for TFEB in coordinating how LT-HSC sense environmental changes and initiate the earliest steps of their fate transitions and lineage commitment decisions. These transitions are regulated by a TFEB/MYC dichotomy where MYC is a driver of LT-HSC anabolism and activation and counteracts TFEB function by serving as a negative transcriptional regulator of lysosomes. Moreover, our findings further suggest that active suppression of TFEB and its downstream lysosomal degradation of TfR1 within LT-HSC is required for commitment along the erythroid lineage: activation of TFEB can abolish erythroid differentiation even after lineage commitment has occurred. In summary, we uncovered a MYC-TFEB-mediated dichotomous regulation of lysosomal activity that is required to balance anabolic and catabolic processes that ultimately impact human LT-HSC fate determination. Figure Disclosures Takayanagi: Kirin Holdings Company, Ltd: Current Employment. Dick:Bristol-Myers Squibb/Celgene: Research Funding.
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) | 0,000 | 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 | 0,001 | 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 ».