Identification of gene networks associated with erythroid differentiation
The Laboratory of Hematology, Assaf-Harofeh Medical Center, Zerifin, Israel. Blood Cells Molecules and Diseases
(Impact Factor: 2.65).
04/2009; 43(1):74-80. DOI: 10.1016/j.bcmd.2009.01.020
Erythropoiesis is a multistep process involving a large number of genes, which balance between proliferation, differentiation and survival of the erythroid cells. To understand the molecular mechanisms of erythropoiesis and related pathological aberrations, we analyzed three stages of in vitro differentiating human erythroid cells by expression profiling. We identified distinct clusters of genes, each with a unique expression pattern during differentiation. As JAK2 was shown to play a central role in myeloproliferative disorders, we focused on one cluster which includes JAK2 and other genes with high correlation to JAK2 expression. These genes had a low expression at the early erythroblast which increased in the intermediate stage and further slightly increased in the last stage of differentiation. Our results indicate that gene networks may associate with JAK2 expression in erythroid differentiation. It is intriguing to determine whether the pathogenesis of polycythemia vera (PV), harboring a common or uncommon JAK2 mutation, involves alterations in independent gene pathways that underlie the normal erythropoietic process.
Available from: Ellen I Closs
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ABSTRACT: Since arginine metabolites, such as nitric oxide and polyamines, influence the expression of genes involved in erythroid differentiation, the transport of the cationic amino acid may play an important role in erythroid cells. However, available data only concern the presence in these cells of CAT1 transporter (system y(+)), while no information exists on the role of the heterodimeric transporters of system y(+)L (4F2hc/y(+)LAT1 and 4F2hc/y(+)LAT2) which operates transmembrane arginine fluxes cis-inhibited by neutral amino acids in the presence of sodium. Using erythroleukemia K562 cells and normal erythroid precursors, we demonstrate here that arginine transport in human erythroid cells is due to the additive contributions of a leucine-sensitive and leucine-insensitive component. In both cell types, leucine inhibition of arginine influx is much less evident in the absence of sodium, a hallmark of system y(+)L. In K562 cells, N-ethylmaleimide, a known inhibitor of CAT transporters (system y(+)), suppresses only a fraction of arginine influx corresponding to leucine-insensitive uptake. Moreover, in Xenopus oocytes coexpressing 4F2hc and y(+)LAT2, leucine exerts a marked inhibition of arginine transport, partially dependent on sodium, while no inhibition is seen in oocytes expressing CAT1. Lastly, silencing of SLC7A6, the gene for y(+)LAT2, lowers arginine transport and doubles the intracellular content of the cationic amino acid in K562 cells. We conclude that arginine transport in human erythroid cells is due to both system y(+) (CAT1 transporter) and system y(+)L (4F2hc/y(+)LAT2 isoform), which mainly contribute, respectively, to the influx and to the efflux of the cationic amino acid.
Pflügers Archiv - European Journal of Physiology 07/2009; 458(6):1163-73. DOI:10.1007/s00424-009-0692-9 · 4.10 Impact Factor
Available from: Santosh K Ghosh
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Tumor-associated macrophages (TAMs) constitute a significant part of infiltrating inflammatory cells that are frequently correlated with progression and poor prognosis of a variety of cancers. Tumor cell-produced human β-defensin-3 (hBD-3) has been associated with TAM trafficking in oral cancer; however, its involvement in tumor-related inflammatory processes remains largely unknown.
The relationship between hBD-3, monocyte chemoattractant protein-1 (MCP-1), TAMs, and CCR2 was examined using immunofluorescence microscopy in normal and oral carcinoma in situ biopsy specimens. The ability of hBD-3 to chemoattract host macrophages in vivo using a nude mouse model and analysis of hBD-3 on monocytic cell migration in vitro, applying a cross-desensitization strategy of CCR2 and its pharmacological inhibitor (RS102895), respectively, was also carried out.
MCP-1, the most frequently expressed tumor cell-associated chemokine, was not produced by tumor cells nor correlated with the recruitment of macrophages in oral carcinoma in situ lesions. However, hBD-3 was associated with macrophage recruitment in these lesions and hBD-3-expressing tumorigenic cells induced massive tumor infiltration of host macrophages in nude mice. HBD-3 stimulated the expression of tumor-promoting cytokines, including interleukin-1α (IL-1α), IL-6, IL-8, CCL18, and tumor necrosis factor-α (TNF-α) in macrophages derived from human peripheral blood monocytes. Monocytic cell migration in response to hBD-3 was inhibited by cross-desensitization with MCP-1 and the specific CCR2 inhibitor, RS102895, suggesting that CCR2 mediates monocyte/macrophage migration in response to hBD-3. Collectively, these results indicate that hBD-3 utilizes CCR2 to regulate monocyte/macrophage trafficking and may act as a tumor cell-produced chemoattractant to recruit TAMs. This novel mechanism is the first evidence of an hBD molecule orchestrating an in vivo outcome and demonstrates the importance of the innate immune system in the development of tumors.
PLoS ONE 06/2010; 5(6):e10993. DOI:10.1371/journal.pone.0010993 · 3.23 Impact Factor
Available from: Kathryn Robson
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ABSTRACT: Understanding the pattern of gene expression during erythropoiesis is crucial for a synthesis of erythroid developmental biology. Here, we isolated 4 distinct populations at successive erythropoietin-dependent stages of erythropoiesis, including the terminal, pyknotic stage. The transcriptome was determined using Affymetrix arrays. First, we demonstrated the importance of using defined cell populations to identify lineage and temporally specific patterns of gene expression. Cells sorted by surface expression profile not only express significantly fewer genes than unsorted cells but also demonstrate significantly greater differences in the expression levels of particular genes between stages than unsorted cells. Second, using standard software, we identified more than 1000 transcripts not previously observed to be differentially expressed during erythroid maturation, 13 of which are highly significantly terminally regulated, including RFXAP and SMARCA4. Third, using matched filtering, we identified 12 transcripts not previously reported to be continuously up-regulated in maturing human primary erythroblasts. Finally, using transcription factor binding site analysis, we identified potential transcription factors that may regulate gene expression during terminal erythropoiesis. Our stringent lists of differentially regulated and continuously expressed transcripts containing many genes with undiscovered functions in erythroblasts are a resource for future functional studies of erythropoiesis. Our Human Erythroid Maturation database is available at https://cellline.molbiol.ox.ac.uk/eryth/index.html. [corrected].
Blood 03/2011; 117(13):e96-108. DOI:10.1182/blood-2010-07-290825 · 10.45 Impact Factor
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