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ABSTRACT: Histone deacetylase inhibitors (HDIs) have been shown to enhance hematopoietic stem and progenitor cell activity and improve stem cell outcomes after ex vivo culture. Identification of gene targets of HDIs is required to understand the full potential of these compounds and can allow for improved stem cell culturing protocols. The molecular process that underlies the biological effects of valproic acid (VPA), a widely used HDI, on hematopoietic stem/progenitor cells was investigated by studying the early-response genes of VPA. These genes were linked to VPA-induced enhancement of cell function as measured by in vitro assays. Genome-wide gene expression studies revealed over-representation of genes involved in glutathione metabolism, receptor and signal transducer activity, and changes in the hematopoietic stem/progenitor cells surface profile after short, 24-hour VPA treatment. Sca-1, a well-known and widely used stem cell surface marker, was identified as a prominent VPA target. We showed that multiple HDIs induce Sca-1 expression on hematopoietic cells. VPA strongly preserved Sca-1 expression on Lin(-)Sca1(+)ckit(+) cells, but also reactivated Sca-1 on committed progenitor cells that were Sca-1(neg), thereby reverting them to the Lin(-)Sca1(+)ckit(+) phenotype. We demonstrated that reacquired Sca-1 expression coincided with induced self-renewal capacity as measured by in vitro replating assays, while Sca-1 itself was not required for the biological effects of VPA as demonstrated using Sca-1-deficient progenitor cells. In conclusion, our results show that VPA modulates several genes involved in multiple signal transduction pathways, of which Sca-1 was shown to mark cells with increased self-renewal capacity in response to HDIs.
Experimental hematology 09/2012; · 3.11 Impact Factor
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ABSTRACT: Despite increasing knowledge on the regulation of hematopoietic stem/progenitor cell (HSPC) self-renewal and differentiation, in vitro control of stem cell fate decisions has been difficult. The ability to inhibit HSPC commitment in culture may be of benefit to cell therapy protocols. Small molecules can serve as tools to manipulate cell fate decisions. Here, we tested 2 small molecules, valproic acid (VPA) and lithium (Li), to inhibit differentiation. HSPCs exposed to VPA and Li during differentiation-inducing culture preserved an immature cell phenotype, provided radioprotection to lethally irradiated recipients, and enhanced in vivo repopulating potential. Anti-differentiation effects of VPA and Li were observed also at the level of committed progenitors, where VPA re-activated replating activity of common myeloid progenitor and granulocyte macrophage progenitor cells. Furthermore, VPA and Li synergistically preserved expression of stem cell-related genes and repressed genes involved in differentiation. Target genes were collectively co-regulated during normal hematopoietic differentiation. In addition, transcription factor networks were identified as possible primary regulators. Our results show that the combination of VPA and Li potently delays differentiation at the biologic and molecular levels and provide evidence to suggest that combinatorial screening of chemical compounds may uncover possible additive/synergistic effects to modulate stem cell fate decisions.
Blood 02/2012; 119(13):3050-9. · 9.90 Impact Factor
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ABSTRACT: The number of stem cells contributing to hematopoiesis has been a matter of debate. Many studies use retroviral tagging of stem cells to measure clonal contribution. Here we argue that methodological factors can impact such clonal analyses. Whereas early studies had low resolution, leading to underestimation, recent methods may result in an overestimation of stem-cell counts. We discuss how restriction enzyme choice, PCR bias, high-throughput sequencing depth and tagging method could affect the conclusions of clonal studies.
Nature Methods 01/2012; 9(6):567-74. · 19.28 Impact Factor
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ABSTRACT: Hematopoietic stem/progenitor cell (HSPC) traits differ between genetically distinct mouse strains. For example, DBA/2 mice have a higher HSPC frequency compared with C57BL/6 mice. We performed a genetic screen for micro-RNAs that are differentially expressed between LSK, LS(-)K(+), erythroid and myeloid cells isolated from C57BL/6 and DBA/2 mice. This analysis identified 131 micro-RNAs that were differentially expressed between cell types and 15 that were differentially expressed between mouse strains. Of special interest was an evolutionary conserved miR cluster located on chromosome 17 consisting of miR-99b, let-7e, and miR-125a. All cluster members were most highly expressed in LSKs and down-regulated upon differentiation. In addition, these microRNAs were higher expressed in DBA/2 cells compared with C57BL/6 cells, and thus correlated with HSPC frequency. To functionally characterize these microRNAs, we overexpressed the entire miR-cluster 99b/let-7e/125a and miR-125a alone in BM cells from C57BL/6 mice. Overexpression of the miR-cluster or miR-125a dramatically increased day-35 CAFC activity and caused severe hematopoietic phenotypes upon transplantation. We showed that a single member of the miR-cluster, namely miR-125a, is responsible for the majority of the observed miR-cluster overexpression effects. Finally, we performed genome-wide gene expression arrays and identified candidate target genes through which miR-125a may modulate HSPC fate.
Blood 11/2011; 119(2):377-87. · 9.90 Impact Factor
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ABSTRACT: Clonal analysis is important for many areas of hematopoietic stem cell research, including in vitro cell expansion, gene therapy, and cancer progression and treatment. A common approach to measure clonality of retrovirally transduced cells is to perform integration site analysis using Southern blotting or polymerase chain reaction-based methods. Although these methods are useful in principle, they generally provide a low-resolution, biased, and incomplete assessment of clonality. To overcome those limitations, we labeled retroviral vectors with random sequence tags or "barcodes." On integration, each vector introduces a unique, identifiable, and heritable mark into the host cell genome, allowing the clonal progeny of each cell to be tracked over time. By coupling the barcoding method to a sequencing-based detection system, we could identify major and minor clones in 2 distinct cell culture systems in vitro and in a long-term transplantation setting. In addition, we demonstrate how clonal analysis can be complemented with transgene expression and integration site analysis. This cellular barcoding tool permits a simple, sensitive assessment of clonality and holds great promise for future gene therapy protocols in humans, and any other applications when clonal tracking is important.
Blood 04/2010; 115(13):2610-8. · 9.90 Impact Factor
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Alice Gerrits,
Yang Li,
Bruno M Tesson, Leonid V Bystrykh,
Ellen Weersing,
Albertina Ausema,
Bert Dontje,
Xusheng Wang,
Rainer Breitling,
Ritsert C Jansen,
Gerald de Haan
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ABSTRACT: Genetical genomics is a strategy for mapping gene expression variation to expression quantitative trait loci (eQTLs). We performed a genetical genomics experiment in four functionally distinct but developmentally closely related hematopoietic cell populations isolated from the BXD panel of recombinant inbred mouse strains. This analysis allowed us to analyze eQTL robustness/sensitivity across different cellular differentiation states. Although we identified a large number (365) of "static" eQTLs that were consistently active in all four cell types, we found a much larger number (1,283) of "dynamic" eQTLs showing cell-type-dependence. Of these, 140, 45, 531, and 295 were preferentially active in stem, progenitor, erythroid, and myeloid cells, respectively. A detailed investigation of those dynamic eQTLs showed that in many cases the eQTL specificity was associated with expression changes in the target gene. We found no evidence for target genes that were regulated by distinct eQTLs in different cell types, suggesting that large-scale changes within functional regulatory networks are uncommon. Our results demonstrate that heritable differences in gene expression are highly sensitive to the developmental stage of the cell population under study. Therefore, future genetical genomics studies should aim at studying multiple well-defined and highly purified cell types in order to construct as comprehensive a picture of the changing functional regulatory relationships as possible.
PLoS Genetics 10/2009; 5(10):e1000692. · 8.69 Impact Factor
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Rainer Breitling,
Yang Li,
Bruno M Tesson,
Jingyuan Fu,
Chunlei Wu,
Tim Wiltshire,
Alice Gerrits, Leonid V Bystrykh,
Gerald de Haan,
Andrew I Su,
Ritsert C Jansen
PLoS Genetics 11/2008; 4(10):e1000232. · 8.69 Impact Factor
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ABSTRACT: Several studies have suggested that the cyclin-dependent kinase (CDK) inhibitor p21 plays a crucial role in regulating hematopoietic stem and progenitor pool size. To allow assessment of long-term stem cell functioning in vivo, we have backcrossed a p21 null allele to C57BL/6 (B6) mice, the most commonly used mouse strain in hematopoietic stem cell research. In various in vitro assays, the homozygous deletion of the p21 allele did not affect the number of hematopoietic cells in B6 mice. Furthermore, the competitive repopulation ability was not different between p21-deficient and wild-type stem cells from both young and aged (20-month-old) mice. These results show that p21 is not essential for regulation of stem cell number in steady state. When proliferative stress was applied on p21-deficient stem cells by serial transplantation of 1,500 Lin(-)Sca-1(+)c-kit(+) (LSK) cells, again no detrimental effect was observed on cobblestone area-forming cell (CAFC) frequency and competitive repopulating ability. However, when bone marrow cells from mice that received 2 Gy of irradiation were transplanted, p21 deficiency resulted in a more than fourfold reduction in competitive repopulation index. Finally, we did not find major differences in cell cycle status and global gene expression patterns between LSK cells from p21-deficient and wild-type mice. Our findings indicate that the background of mice used for studying the function of a gene by genetic modification may determine the outcome. Cumulatively, our data fail to support the notion that p21 is essential for stem cell function during steady-state hematopoiesis, but may be relatively more important under conditions of cellular stress.
Stem Cells 05/2007; 25(4):836-43. · 7.78 Impact Factor
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ABSTRACT: The Affymetrix GeneChip technology uses multiple probes per gene to measure its expression level. Individual probe signals can vary widely, which hampers proper interpretation. This variation can be caused by probes that do not properly match their target gene or that match multiple genes. To determine the accuracy of Affymetrix arrays, we developed an extensive verification protocol, for mouse arrays incorporating the NCBI RefSeq, NCBI UniGene Unique, NIA Mouse Gene Index, and UCSC mouse genome databases.
Applying this protocol to Affymetrix Mouse Genome arrays (the earlier U74Av2 and the newer 430 2.0 array), the number of sequence-verified probes with perfect matches was no less than 85% and 95%, respectively; and for 74% and 85% of the probe sets all probes were sequence verified. The latter percentages increased to 80% and 94% after discarding one or two unverifiable probes per probe set, and even further to 84% and 97% when, in addition, allowing for one or two mismatches between probe and target gene. Similar results were obtained for other mouse arrays, as well as for human and rat arrays. Based on these data, refined chip definition files for all arrays are provided online. Researchers can choose the version appropriate for their study to (re)analyze expression data.
The accuracy of Affymetrix probe sequences is higher than previously reported, particularly on newer arrays. Yet, refined probe set definitions have clear effects on the detection of differentially expressed genes. We demonstrate that the interpretation of the results of Affymetrix arrays is improved when the new chip definition files are used.
BMC Bioinformatics 02/2007; 8:132. · 2.75 Impact Factor
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ABSTRACT: The molecular mechanism responsible for a decline of stem cell functioning after replicative stress remains unknown. We used mouse embryonic fibroblasts (MEFs) and hematopoietic stem cells (HSCs) to identify genes involved in the process of cellular aging. In proliferating and senescent MEFs one of the most differentially expressed transcripts was Enhancer of zeste homolog 2 (Ezh2), a Polycomb group protein (PcG) involved in histone methylation and deacetylation. Retroviral overexpression of Ezh2 in MEFs resulted in bypassing of the senescence program. More importantly, whereas normal HSCs were rapidly exhausted after serial transplantations, overexpression of Ezh2 completely conserved long-term repopulating potential. Animals that were reconstituted with 3 times serially transplanted control bone marrow cells all died due to hematopoietic failure. In contrast, similarly transplanted Ezh2-overexpressing stem cells restored stem cell quality to normal levels. In a "genetic genomics" screen, we identified novel putative Ezh2 target or partner stem cell genes that are associated with chromatin modification. Our data suggest that stabilization of the chromatin structure preserves HSC potential after replicative stress.
Blood 04/2006; 107(5):2170-9. · 9.90 Impact Factor
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ABSTRACT: Short-oligonucleotide arrays typically contain multiple probes per gene. In genetical genomics applications a statistical model for the individual probe signals can help in separating "true" differential mRNA expression from "ghost" effects caused by polymorphisms, misdesigned probes, and batch effects. It can also help in detecting alternative splicing, start, or termination.
Genetics 12/2005; 171(3):1437-9. · 4.01 Impact Factor
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ABSTRACT: The role of fibroblast growth factors and their receptors (FGFRs) in the regulation of normal hematopoietic stem cells is unknown. Here we show that, in mouse bone marrow, long-term repopulating stem cells are found exclusively in the FGFR(+) cell fraction. During differentiation toward committed progenitors, stem cells show loss of FGFR expression. Prolonged culture of bone marrow cells in serum-free medium supplemented with only FGF-1 resulted in robust expansion of multilineage, serially transplantable, long-term repopulating hematopoietic stem cells. Thus, we have identified a simple method of generating large numbers of rapidly engrafting stem cells that have not been genetically manipulated. Our results show that the multipotential properties of stem cells are dependent on signaling through FGF receptors and that FGF-1 plays an important role in hematopoietic stem cell homeostasis.
Developmental Cell 03/2003; 4(2):241-51. · 14.03 Impact Factor
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ABSTRACT: Hematopoietic stem cells from different strains of mice vary widely with respect to their cell cycle activity. In the present study we used complementary genetic and genomic approaches to identify molecular pathways affecting this complex trait. We identified a major quantitative trait locus (QTL) associated with variation in cell proliferation in C57BL/6 and DBA/2 mice to a 10 centimorgan (cM) region on chromosome 11. A congenic mouse model confirmed that a genomic interval on chromosome 11 in isolation confers the proliferation phenotype. To detect candidate genes we performed subtractive hybridizations and gene arrays using cDNA from highly enriched stem cells from parental strains. Intriguingly, a disproportionate number of differentially expressed genes mapped to chromosome 11 and, more specifically, these transcripts occurred in 3 distinct clusters. The largest cluster colocalized exactly with the cell cycling QTL. Such clustering suggested the involvement of genetic variation that affects higher-order chromosomal organization. This hypothesis was reinforced by the fact that differentially expressed genes mapped to recombination "coldspots," as a consequence of which clustered genes are collectively inherited. These findings suggest the functional interdependence of these closely linked genes. Our data are consistent with the hypothesis that this isolated cell cycle QTL does not result from a mutation in a single gene but rather is a consequence of variable expression of a collection of highly linked genes.
Blood 10/2002; 100(6):2056-62. · 9.90 Impact Factor
