A Stemness Screen Reveals C3ORF54/INKA1 As a Gate-Keeper of Human Stem Cell Latency
Notice bibliographique
Résumé
Abstract The controversy generated from recent murine studies as to whether hematopoietic stem cells (HSC) contribute to steady-state hematopoiesis emphasizes how limited our knowledge is of the mechanisms governing HSC self-renewal, activation and latency; a problem most acute in the study of human HSC and leukemia stem cells (LSC). Many hallmark stem cell properties are shared by HSC and LSC and therefore a better understanding of stemness regulation is crucial to improved HSC therapies and leukemia treatments targeting LSC. Our previous work on LSC subsets from >80 AML patient samples revealed that HSC and LSC share a transcriptional network that represent the core elements of stemness (Eppert, Nature Med 2011; Ng, Nature 2016). Hence, to identify the key regulators of LSC/HSC self-renewal and persistence we selected 64 candidate genes based on expression in functionally validated LSC vs. non-LSC fractions and assessed their potential to enhance self-renewal in a competitive in vivo screen. Here, we transduced cord blood CD34+CD38- cells with 64 barcoded lentiviral vectors to assemble 16 pools, each consisting of 8 individual gene-transduced populations, for transplantation into NSG mice. Strikingly, individual overexpression (OE) of 5 high scoring candidates revealed delayed repopulation kinetics of human HSC/progenitor cells (HSPC): gene-marking of human CD45+ and lin-CD34+ cells was reduced relative to input and control at 4w post transplantation, whereas by 20w engraftment of marked cells reached or exceeded input levels. For one of these candidates, C3ORF54/INKA1, we found that OE did not alter lineage composition neither in in vitro nor in vivo assays but increased the proportion of primitive CD34+ cells at 20w in vivo; moreover, secondary transplantation revealed a 4.5-fold increase in HSC frequency. Of note, serial transplantation from earlier time points (2w, 4w) revealed superior engraftment and hence greater self-renewal capacity upon INKA1-OE. Since we observed a 4-fold increase of phenotypic multipotent progenitors (MPP) relative to HSC within the CD34+ compartment (20w) we assessed whether INKA1-OE acts selectively on either cell population. The observation of latency in engraftment was recapitulated with sorted INKA1-OE HSC but not MPP. Likewise, liquid culture of HSPC and CFU-C assays on sorted HSC showed an initial delay in activation and colony formation upon INKA1-OE that was completely restored by extended culture and secondary CFU-C, respectively. INKA1-OE MPP showed a slight increase in total colony count in primary CFU-C and increased CDK6 levels in contrast to reduced CDK6 levels in INKA1-OE HSC emphasizing opposing effects of INKA1 on cell cycle entry and progression in either population. Taken together, this suggests that INKA1-OE preserves self-renewal capacity by retaining HSC preferentially in a latent state, however, upon transition to MPP leads to enhanced activation. Whilst INKA1 has been described as an inhibitor of p21(Cdc42/Rac)-activated kinase 4 (PAK4), no role for PAK4 is described in hematopoiesis. Nonetheless, its regulator Cdc42 is implicated in aging of murine HSPC by affecting H4K16 acetylation (H4K16ac) levels and polarity and has recently been described to regulate AML cell polarity and division symmetry. In our experiments immunostaining of HSPC subsets cultured in vitro and from xenografts indicates that INKA1-OE differentially affects epigenetics of these subsets linking H4K16ac to the regulation of stem cell latency. In AML, transcriptional upregulation of INKA1 in LSC vs. non-LSC fractions and at relapse in paired diagnosis-relapse analysis (Shlush, Nature 2017) implicates INKA1 as a regulator of LSC self-renewal and persistence. Indeed, INKA1-OE in cells derived from a primary human AML sample (8227) with a phenotypic and functional hierarchy (Lechman, Cancer Cell 2016) revealed a strong latency phenotype: In vitro and in vivo we observed label retention along with a steady increase in percentage of CD34+ cells, transient differentiation block, reduced growth rate, G0 accumulation and global reduction of H4K16ac. In summary, our data implicates INKA1 as a gate-keeper of stem cell latency in normal human hematopoiesis and leukemia. Studying the detailed pathways involved will shed light upon the mechanisms involved in HSC activation and latency induction and will help to harness these for novel therapeutic approaches. Disclosures Takayanagi: Kyowa Hakko Kirin Co., Ltd.: Employment.
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 | 0,000 | 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) | 0,003 | 0,001 |
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 ».