Molecular and Functional Characterization of Early Lineage Commitment of Human Hematopoietic Stem Cells
Notice bibliographique
Résumé
Abstract Abstract 907 The hematopoietic system is a highly regulated cellular hierarchy, responsible for the day-to-day production of mature blood cells which can be divided in two major lineages, myeloid and lymphoid. Hematopoietic stem cells (HSCs) have the unique ability to give rise to all hematopoietic cell types, by first generating lineage-commited progenitors which in turn will produce terminally differentiated cells. HSCs are characterized by their extensive self-renewal and differentiation capacities. While in mice the mechanisms underlying early HSC differentiation and lineage determination are well understood at the molecular level, very few transcription factors regulating lineage decisions have been identified in human hematopoiesis. Our group has recently established a novel cell sorting strategy for human HSCs and early lineage committed progenitors (Doulatov et al., Nature Immunology, 2010; Notta et al., Science, 2011) which uncovered the existence of a novel human multilymphoid progenitor (MLP). MLPs give rise to all lymphoid cell types, as well as dendritic cells and monocytic cells. Here we report a comprehensive analysis of gene expression at each developmental stage of the early human hematopoietic hierarchy, ranging from the long-term repopulating stem cells to lineage-restricted progenitors through multipotent progenitors such as MLP, CMP (common myeloid progenitor), GMP (granulocyte-monocyte progenitor) and MEP (megakaryocyte-erythroid progenitor). We show that hematopoietic specification is defined by a small number of global gene expression clusters that correspond to major biological lineages and that lineage programs in committed progenitors are paired with HSC-shared priming programs. HSCs display most extensive priming along the lympho-myeloid branch (MLP). In contrast early progenitors of the megakaryocytic/erythrocytic lineage form a distinct cluster, highly enriched for cell cycle genes. To identify regulators of each major developmental transition, we computationally extracted population-specific gene-sets (“signatures”). We then integrated transcription factor expression data and enrichment of transcription factors binding sites in the promoters of each “signature” to obtain a map of transcriptional regulators in the context of the developmental hierarchy. Based on this model, we selected more than 15 candidate genes for functional validation. We chose genes predicted to act either on lymphoid (MLP), myeloid (MLP, CMP) or erythroid (MEP) commitment. Among these, we investigated the function of BCL11a, a C2H2 zinc finger transcriptional repressor, which expression is primed in HSCs then peaks in the newly discovered MLP population, indicating a putative role in lymphocyte specification. Consistent with this hypothesis, BCL11a has been implicated in the development of B cell progenitors in mouse. When BCL11a was knocked down in cord blood derived hematopoietic stem cells and early progenitors, we observed reduced formation of cells committed to the B cell fate both in vitro and in an in vivo xenograft assay. BCL11a knock-down resulted in a partial block of B cell maturation at the proB to preB cell transition, that was accompanied by a decrease in the key B cell maturation transcription factor, Pax5. These preliminary results suggest that BCL11a directs B cell specification in human and that our genome-wide strategy not only provides a valuable resource for the hematology community but also allows identification of key regulators of early human lineage commitment. Disclosures: No relevant conflicts of interest to declare.
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) | 0,002 | 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 ».