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Enregistrement W2912722310 · doi:10.1182/blood-2018-170

Sphingolipid Perturbation Activates Proteostasis Programs to Govern Human Hematopoietic Stem Cell Self-Renewal

2018· article· en· W2912722310 sur OpenAlexaff
Stephanie Z. Xie, Laura Garcia Prat, Véronique Voisin, Alex Murison, Olga I. Gan, Robin Ferrari, Naoya Takayama, Kerstin B. Kaufmann, Ishita Patel, Esther Lee, Gareth D. Holmes, Tiago da Silva Medina, Aditi Vedi, Chiara Luberto, Gary D. Bader, Elisa Laurenti, Mathieu Lupien, John E. Dick

Notice bibliographique

RevueBlood · 2018
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueSphingolipid Metabolism and Signaling
Établissements canadiensUniversity of TorontoPrincess Margaret Cancer CentreUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésBiologyProteostasisStem cellCell biologyHaematopoiesisSphingolipidHematopoietic stem cellImmunology

Résumé

récupéré en direct d'OpenAlex

Abstract The hematopoietic stem cells (HSC) field has long been perplexed by how the blood system d (~10e12 cells produced daily) - yet hematologic malignancies remain relatively rare. The risk of malignancy is mitigated in part by a complex hierarchy in which the quiescent long-term hematopoietic stem cells (LT-HSC) with high self-renewal capacity undergo a restricted number of cell divisions. Nonetheless, such a high production demand over a lifetime raises an inherent risk of malignancy due to DNA replication errors, misfolded proteins and metabolic stress that cause cellular damage in HSC. Previously, HSC dormancy, largely thought to be controlled by transcription factor networks, was held responsible for preventing mutation acquisition. However, recent studies suggest that LT-HSC contain critical cellular networks centered around the coordination of distinct HSC metabolic programs with proteostasis, which serve as crucial decision nodes to balance persistence or culling of HSC for lifelong blood production. While HSC culling mechanisms are known, the linkage between cellular stress programs and the self-renewal properties that underlie human HSC persistence remains unknown. Here, we ask how this HSC fate choice is influenced by lipid biosynthesis - an underexplored area of HSC metabolism. We observed a distinct sphingolipid transcriptional signature in human HSC and examined the consequences of sphingolipid perturbation in human cord blood (CB) stem cells during ex vivo activation. DEGS1 (Delta 4-Desaturase, Sphingolipid 1) is the final enzyme in de novo sphingolipid synthesis, converting dihydroceramide (dhCer) to ceramide (Cer); ablation of DEGS1 either genetically or by treatment with the synthetic retinoid fenretinide/N-(4-hydroxyphenyl) retinamide (4HPR) is sufficient to activate autophagy in mouse cells and human cell lines. DEGS1 gene expression was higher in HSC than in progenitors and was significantly increased in LT-HSC following 6 hours of cytokine stimulation, suggesting that it plays a role in cellular activation. Sphingolipid composition was altered in CB cultured with 4HPR for 8 days with an increase in dhCer levels and decrease in Cer levels shown by lipidomics. Remarkably, 4HPR treatment significantly increased in vitro colony forming efficiency from LT-HSC (50% over control), but not from short-term HSC or granulocyte-macrophage progenitors. Ex vivo 4HPR treatment of CB followed by serial xenotransplantation resulted in a 2.5-fold increase in long-term repopulation cell (LTRC) frequency over control-treated cells, suggesting that 4HPR treatment affects HSC self-renewal. RNA-seq analysis showed that 4HPR activates a set of proteostatic quality control (QC) programs that coalesce around the unfolded protein response (UPR) and autophagy, the latter confirmed by immunofluorescence and flow cytometry in CB stem cells. Ex vivo culture perturbs these programs and results in loss of chromatin accessibility at sites associated with uncultured LT-HSC as determined by ATAC-Seq. Addition of 4HPR to the culture activates these proteostatic programs to sustain immunophenotypic and functional HSC. These results suggest that ceramide, the central component to all sphingolipids, may act as a "lipid biostat" for measuring cellular stress and activating stress responses. We further asked if 4HPR could synergize with known compounds to enhance HSC self-renewal. Treatment of CB with a combination of 4HPR plus CD34+ agonists UM171 and StemRegenin-1 during ex vivo culture maintains a chromatin state more similar to uncultured LT-HSC as demonstrated by ATAC-seq, and led to a 4-fold increase in serial repopulating ability in xenotransplant assays over treatment with UM171 and SR1 alone. These results suggest that sphingolipid perturbation not only activates proteostatic mechanisms that protect HSC organelles from damage incurred during cellular activation, but also regulates the landscape of chromatin accessibility in cultured HSC when combined with CD34+ agonists. This work identifies a new linkage between sphingolipid metabolism, proteostatic QC systems and HSC self-renewal, and identifies novel strategies by which to expand HSC numbers and improve HSC quality for clinical applications. Disclosures Takayama: Megakaryon co. Ltd.: 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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,010
Tête enseignante GPT0,232
Écart entre enseignants0,222 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2018
Routes d'admission1
Résumé présentoui

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