Literature DB >> 22344032

Inferring rules of lineage commitment in haematopoiesis.

Cristina Pina1, Cristina Fugazza, Alex J Tipping, John Brown, Shamit Soneji, Jose Teles, Carsten Peterson, Tariq Enver.   

Abstract

How the molecular programs of differentiated cells develop as cells transit from multipotency through lineage commitment remains unexplored. This reflects the inability to access cells undergoing commitment or located in the immediate vicinity of commitment boundaries. It remains unclear whether commitment constitutes a gradual process, or else represents a discrete transition. Analyses of in vitro self-renewing multipotent systems have revealed cellular heterogeneity with individual cells transiently exhibiting distinct biases for lineage commitment. Such systems can be used to molecularly interrogate early stages of lineage affiliation and infer rules of lineage commitment. In haematopoiesis, population-based studies have indicated that lineage choice is governed by global transcriptional noise, with self-renewing multipotent cells reversibly activating transcriptome-wide lineage-affiliated programs. We examine this hypothesis through functional and molecular analysis of individual blood cells captured from self-renewal cultures, during cytokine-driven differentiation and from primary stem and progenitor bone marrow compartments. We show dissociation between self-renewal potential and transcriptome-wide activation of lineage programs, and instead suggest that multipotent cells experience independent activation of individual regulators resulting in a low probability of transition to the committed state.

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Year:  2012        PMID: 22344032     DOI: 10.1038/ncb2442

Source DB:  PubMed          Journal:  Nat Cell Biol        ISSN: 1465-7392            Impact factor:   28.824


  31 in total

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3.  Cell fates as high-dimensional attractor states of a complex gene regulatory network.

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4.  Two types of precursor cells in a multipotential hematopoietic cell line.

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Journal:  Immunol Cell Biol       Date:  2015-11-03       Impact factor: 5.126

3.  Bifurcation dynamics and determination of alternate cell fates in bipotent progenitor cells.

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Review 7.  Statistical mechanics meets single-cell biology.

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Review 9.  Transition states and cell fate decisions in epigenetic landscapes.

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10.  Pluripotent stem cells reveal erythroid-specific activities of the GATA1 N-terminus.

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