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Enregistrement W2533230146 · doi:10.1182/blood.v112.11.2462.2462

An RNA Interference Screen Reveals Fate Determinants Implicated in Asymmetric Cell Division as Potential Regulators of Hematopoietic Stem Cell Self-Renewal

2008· article· en· W2533230146 sur OpenAlexaff
Kristin J. Hope, Sonia Cellot, Stephen B. Ting, Guy Sauvageau

Notice bibliographique

RevueBlood · 2008
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueGenetics, Aging, and Longevity in Model Organisms
Établissements canadiensUniversité de MontréalInstitute for Research in Immunology and Cancer
Organismes subventionnairesnon disponible
Mots-clésBiologyStem cellAsymmetric cell divisionHaematopoiesisCell biologyCell fate determinationCell divisionHematopoietic stem cellGeneticsRNA interferenceCellRNATranscription factorGene

Résumé

récupéré en direct d'OpenAlex

Abstract During periods of extensive regeneration of the hematopoietic system, hematopoietic stem cells (HSC) undergo largely symmetrical self-renewal divisions, necessary to rapidly replenish the stem cell pool. Under homeostasis, however, it is likely that HSC rely more on asymmetric self-renewal divisions to retain an appropriate number of HSC while still enabling sufficient production of mature blood cells. The unequal partitioning of intrinsic fate determinants underlies the process of asymmetric stem cell division in lower organisms including Drosophila and C. elegans. The tumor suppressive function of specific determinants has been demonstrated in studies where mutation of fate determinants shown to be inhibitory to the self-renewal of one of the two daughter cells generated upon Drosophila neuroblast division, drives exclusive symmetrical stem cell divisions ultimately leading to the formation of larval brain tumors. As HSCs can not yet be definitively prospectively identified, it has been difficult to determine whether a similar segregation of such cell fate determinants underlies the asymmetric/symmetric self-renewal of these cells or whether deregulation of these determinants could also generate hematopoietic malignancies by inducing constitutive symmetric self-renewal divisions. We addressed these questions through a functional genetics approach taking advantage of systematic RNA interference to interrogate the function of polarity factors and cell fate determinants representing candidate HSC self-renewal regulators. From a list of 72 of such factors identified in the literature, 32 murine homologs were selected based on their differentially high level of expression in HSC-enriched populations. For each candidate we generated 3 unique short hairpin RNA (shRNA) encoding retroviral constructs also carrying EGFP for the purposes of following transduced cells. In a primary screen equal numbers of HSC-enriched Lin-CD150+CD48− cells were infected with the library in an arrayed 96-well format yielding an average gene transfer of 60.0 ± 3.2%. The in vivo reconstituting potential was then evaluated in a CRU assay such that identical proportions of each well were transplanted in duplicate. An average of 37.6 ± 5.1% long-term donor reconstitution was demonstrated by luciferase shRNA transduced controls. Directly following infection, the EGFP+ fraction of a portion of each well was separated by FACS to facilitate qRT-PCR determination of knockdown efficiency. Immunophenotypes, cell viability and morphology of well contents cultured an additional 7 days were also assessed. The percent of EGFP− and EGFP+ donor cell contribution was determined by flow cytometric evaluation of peripheral blood samples taken every 4 weeks for a period of 16 weeks. Genes for which shRNA vectors altered late transplant EGFP levels below or above defined thresholds were considered as hits. At present we have identified 4 genes for which shRNA-mediated depletion negatively affects repopulation but does not induce indiscriminate cell death in culture and 1 gene that may act as a self-renewal inhibitor. In one example, two shRNAs directed against the candidate EB3 showed a dramatic loss of EGFP+ cells in vivo. EB3, a member of the microtubule plus-end binding protein family, has previously described roles in the search-and-capture mechanism of spindle positioning. Interestingly, EB1, a closely related family member is also critical in directing the symmetrical as opposed to asymmetrical divisions of primitive neuroepithelial cells in Drosophila. Validation of all identified hits as well as further evaluation of their function through cell cycle, cell death and homing studies is ongoing.

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 Opus0,008
Tête enseignante GPT0,225
Écart entre enseignants0,216 · 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
Publié2008
Routes d'admission1
Résumé présentoui

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