The hematopoietic stem cell (HSC) compartment is composed of long-term reconstituting (LTR) and short-term reconstituting (STR) stem cells. LTR HSC can reconstitute the hematopoietic system for life, whereas STR HSC can sustain hematopoiesis for only a few weeks in the mouse. Several excellent gene expression profiles have been obtained of the total hematopoietic stem cell population. We have used five-color FACS sorting to isolate separate populations of LTR and STR stem cell subsets. The LTR HSC has the phenotype defined as Lin- Sca+ Kit+ 38+ 34-; two subsets of STR HSC were obtained with phenotypes of Lin- Sca+ Kit+ 38+ 34+ and Lin- Sca+ Kit+ 38- 34+. The microarray profiling study reported here was able to identify genes specific for LTR functions. In the interrogated genes (approximately 12,000 probe sets corresponding to 8,000 genes), 210 genes are differentially expressed, and 72 genes are associated with LTR activity, including membrane proteins, signal transduction molecules, and transcription factors. Hierarchical clustering of the 210 differentially expressed genes suggested that they are not bone marrow-specific but rather appear to be stem cell-specific. Transcription factor-binding site analysis suggested that GATA3 might play an important role in the biology of LTR HSC.
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http://dx.doi.org/10.1073/pnas.0409459102 | DOI Listing |
Blood
January 2025
State Key Laboratory of Experimental Hematology, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College; Center for Stem Cell Medicine,, Tianjin, China.
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Department of Internal Medicine, Division of Cardiovascular Medicine, Pauley Heart Center, Virginia Commonwealth University, Richmond.
J Clin Immunol
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Pediatric Allergy & Clinical Immunology, Department of Pediatrics, King Faisal Specialist Hospital & Research Center, Riyadh, 11211, Saudi Arabia.
Biol Aujourdhui
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Sorbonne Université, CNRS, Inserm U1156, Institut de Biologie Paris Seine, Laboratoire de Biologie du Développement/UMR7622, 9 Quai St-Bernard, 75005 Paris, France.
The advent of high-throughput omics data and the generation of new algorithms provide the biologists with the opportunity to explore living processes in the context of systems biology aiming at revealing the gene interactions, the networks underlying complex cellular functions. In this article, we discuss two methods for gene network reconstruction, WGCNA (Weighted Gene Correlation Network Analysis) developed by Steve Horvath and collaborators in 2008, and MIIC (Multivariate Information-based Inductive Causation) developed by Hervé Isambert and his team in 2017 and 2024. These two methods are complementary, WGCNA generating undirected networks in which most gene-to-gene interactions are indirect, while MIIC reveals direct interactions and some causal links.
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