Enforced Expression Of Mir-125b Promotes the in vivo expansion Of Human Linneg cord Blood Multi-Lymphoid Progenitors and Leukemia Stem Cells
Notice bibliographique
Résumé
Abstract Acute Myeloid Leukemia (AML) is a heterogeneous disease with a relapse rate of up to 80% depending on patient age and AML subtype. AML is organized as a functional cellular hierarchy and is sustained by a rare population of leukemia stem cells (LSC). Recent work suggests that LSC properties influence therapy response, overall survival, and disease relapse. In order to develop more effective novel therapies that target this rare cell population; it is imperative that we better understand LSCs at the molecular level. Although it is generally accepted that oncogenic mutations underlie cancer initiation and progression, most studies have focused on protein coding genes. However, there is increasing recognition that non-coding RNAs can also play a role in leukemogenesis. microRNAs (miRNA) are a family of small non-coding RNAs that function as important regulators of mRNA stability and translation of protein-coding genes with significant roles in maintenance of human hematopoietic stem cells (HSC) (Lechman et. al., Cell Stem Cell, 2012). To understand the functional role of miRNA in human hematopoiesis, we generated HSC- and leukemia stem cell (LSC)-specific microRNA (miRNA) profiles by microarray analysis of sorted cell fractions from umbilical cord blood (CB) and AML patient samples that have been validated in xenograft assays. We identified ten miRNA candidates over-represented in HSC and/or LSC. To determine whether these were functional and impacted on stem cell properties we transduced lineage depleted CB cells with lentivirus expressing either a candidate miRNA or control vector followed by transplantation into immune deficient mice. Three miRNAs (miR-125b, miR-130a, miR-155) conferred a competitive growth advantage while four miRNAs (miR-99a, miR133a, miR194, miR-196b) conferred a growth disadvantage. miR-125b, a top LSC array candidate, showed the most pronounced phenotype with an overt expansion of transduced cells (19% to 96.2%) and enlarged spleens (2.4 fold increase). Detailed flow cytometric analysis of the miR-125b human grafts in recipient mice revealed a greatly expanded proportion of multi-lymphoid progenitors (MLP), in comparison to HSC and multi-potent progenitors. Furthermore, upon enforced in vivo expression of miR-125b in three AML patient samples, we observed large increases in the primitive primitive CD34+CD117+ populations (CD34+: 2.4-4.6 fold increase; CD117+: 1.3-4.1 fold increase) and a decrease in the proportion of differentiated CD14+/CD15+ cells (CD14+: 6.2-7.6 fold decrease; CD15+: 1.2-6 fold decrease) in leukemic grafts. Limiting dilution assays into secondary recipients revealed up to a 34-fold increase in LSC frequency compared to control vector transduced AML cells. Overall, these data suggest that miR-125b normally functions in the limited self-renewal of lymphoid committed early progenitors and this function may be usurped during leukemogenesis to enhance LSC self-renewal. miR-125b belongs to an evolutionarily conserved family consisting of three paralogs (miR-125a; miR-125b1; miR-125b2). Recent studies present strong evidence for a role of the miR-125 family in normal and malignant murine hematopoiesis, yet comprehensive functional inconsistencies remain in regards to the precise roles for each paralog. We are currently carrying out additional enforced expression studies directly comparing these family members in vitro and in vivo in order to clarify the functional roles of miR-125a (a top HSC array candidate) and miR-125b (a top LSC array candidate) in both normal and malignant human hematopoiesis. These studies will determine whether the miR-125 family is a suitable target for therapy of hematological malignancies. 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 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».