ArticleBMC systems biology2010
Hematopoietic differentiation: a coordinated dynamical process towards attractor stable states.
Article in BMC systems biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Network Analysis of miRNA and Cytokine Landscape in Human Hematopoiesis.International journal of molecular sciences · 2024Article
- Article
- Clonal hematopoiesis of indeterminate potential and its impact on patient trajectories after stem cell transplantation.PLoS computational biology · 2019Article
- A three-microRNA signature identifies two subtypes of glioblastoma patients with different clinical outcomes.Molecular oncology · 2017Article
- CABeRNET: a Cytoscape app for augmented Boolean models of gene regulatory NETworks.BMC bioinformatics · 2016Article
- Integrated differential transcriptome maps of Acute Megakaryoblastic Leukemia (AMKL) in children with or without Down Syndrome (DS).BMC medical genomics · 2014Article
- Global genetic response in a cancer cell: self-organized coherent expression dynamics.PloS one · 2014Article
- MicroRNA-486-3p regulates γ-globin expression in human erythroid cells by directly modulating BCL11A.PloS one · 2013Article
- miR-126&126* restored expressions play a tumor suppressor role by directly regulating ADAM9 and MMP7 in melanoma.PloS one · 2013Article
- LIF, a Novel STAT5-Regulated Gene, Is Aberrantly Expressed in Myeloproliferative Neoplasms.Genes & cancer · 2011Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe differentiation process, proceeding from stem cells towards the different committed cell types, can be considered as a trajectory towards an attractor of a dynamical process. This view, taking into consideration the transcriptome and miRNome dynamics considered as a whole, instead of looking at few 'master genes' driving the system, offers a novel perspective on this phenomenon. We investigated the 'differentiation trajectories' of the hematopoietic system considering a genome-wide scenario.
resultsWe developed serum-free liquid suspension unilineage cultures of cord blood (CB) CD34+ hematopoietic progenitor cells through erythroid (E), megakaryocytic (MK), granulocytic (G) and monocytic (Mo) pathways. These cultures recapitulate physiological hematopoiesis, allowing the analysis of almost pure unilineage precursors starting from initial differentiation of HPCs until terminal maturation. By analyzing the expression profile of protein coding genes and microRNAs in unilineage CB E, MK, G and Mo cultures, at sequential stages of differentiation and maturation, we observed a coordinated, fully interconnected and scalable character of cell population behaviour in both transcriptome and miRNome spaces reminiscent of an attractor-like dynamics. MiRNome and transcriptome space differed for a still not terminally committed behaviour of microRNAs.
conclusionsConsistent with their roles, the transcriptome system can be considered as the state space of a cell population, while the continuously evolving miRNA space corresponds to the tuning system necessary to reach the attractor. The behaviour of miRNA machinery could be of great relevance not only for the promise of reversing the differentiated state but even for tumor biology.
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