Unknown,Transcriptomics,Genomics,Proteomics

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Transcription profiling of human erythroid progenitor cells treated with thryroid hormone

ABSTRACT: Thyroid hormone receptors (TRs) represent important regulators of development, homeostasis, cell proliferation and differentiation. Here we investigated the impact of thyroid hormone (T3) on growth and differentiation of human red blood cells. T3 was found to effectively accelerate differentiation of SCF/Epo dependent red cell progenitors in vitro concomitantly with inducing growth arrest. This T3 activity was further enhanced by 9-cis retinoic acid (9cRA) that activates retinoid X receptor (RXR), the obligate heterodimeric partner of TR. To identify molecular targets for T3 activity in red cells, we employed a genome wide approach with DNA microarrays. We demonstrate that T3 and 9cRA induces specific gene expression patterns of up-or down-regulated genes, including ALAD and GATA-2, respectively. This study also revealed gene clusters, indicating accelerated differentiation in response to treatment. Mining for T3 induced genes identified BTEB1 (KLF9) and GAR22 as TR target genes. BTEB1/ KLF9 (basic transcription element binding protein 1/ KrÃ¼ppel-like factor 9) is a known TR target gene. GAR22 (growth arrest specific 2 (GAS2)-related gene on chromosome 22), initially found as a putative tumor suppressor gene, was induced by T3 also in the presence of cycloheximide, identifying it as a direct target of TR. Thus, our study uncovers novel targets of TR action with a potential function in T3 induced differentiation and growth arrest of red cell progenitors. Experiment Overall Design: 13 hybridizations in two individual experiments. Experiment Overall Design: Experiment 1: Experiment Overall Design: 1_SCF/Epo, 1_Epo/insulin(8h), 1_Epo/insulin(24h), 1_Epo/insulin(48h) Experiment Overall Design: Experiment 2: Experiment Overall Design: 2_SCF/Epo, 2_Epo/insulin(8h), 2_Epo/insulin(24h), 2_Epo/insulin(48h) Experiment Overall Design: 2_Epo/insulin+T3(8h), 2_Epo/insulin+9cRA(8h) Experiment Overall Design: 2_Epo/insulin+T3+9cRA(8h), , 2_Epo/insulin+T3+9cRA(24h), 2_Epo/insulin+T3+9cRA(48h)

ORGANISM(S): Homo sapiens

SUBMITTER: Martin Zenke

PROVIDER: E-GEOD-7579 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Hereditary Persistence of Fetal Hemoglobin (HPFH) is characterized by persistent high levels of fetal hemoglobin (HbF) in adults. Several contributory factors, both genetic and environmental, have been identified, but others remain elusive. Ten of twenty-seven members from a Maltese family presented with HPFH. A genome-wide SNP scan followed by linkage analysis revealed a candidate region on chromosome 19p13.12-13. Sequencing identified a nonsense mutation in the KLF1 gene, p.K288X, ablating the DNA binding domain of this key erythroid transcriptional regulator. Only HPFH family members were heterozygote carriers of this mutation. Expression profiling on primary erythroid progenitors revealed down-regulation of KLF1 target genes in HPFH samples. Functional assays demonstrated that, in addition to its established role in adult globin expression, KLF1 is a critical activator of the BCL11A gene, encoding a suppressor of HbF expression. These observations provide a rationale for the effects of KLF1 haploinsufficiency on HbF levels. To identify differentially expressed genes, RNA was isolated from erythroid progenitors (HEPs) cultured from peripheral blood of four HPFH (KLF1 p.K288X/wt) and four non-HPFH family members (wt/wt) and used for genome-wide expression analysis. A minimum of 1.5E6 HEPs were harvested at day12 of culture and RNA was extracted with Trizol reagent (Sigma) and purified using the RNeasy Mini Kit (Qiagen, Crawley, UK), including an on-column DNaseI digestion, according to the manufacturer’s instructions. RNA yield was determined using the 2100 Bioanalyzer (Agilent Technologies, Santa Clara, CA, USA). 8-10 micr-g of total RNA was analysed by microarrays using cells from day 12 of culture. Quality of the total RNA samples and the resulting cRNA was assessed on the Bioanalyzer. Fragmented biotinylated cRNA was prepared and 15μg hybridized to HG-U133 plus 2 GeneChips, according to the manufacturer’s protocols (Affymetrix). The data was normalized by Robust Multi-Array average (RMA) algorithm.

Project description:During commitment of a multipotent stem or progenitor cell to a particular lineage, a large number of genes alter their expression in a coordinated manner orchestrated by the gene regulatory network (GRN). The constraints imposed by the GRN govern how cells move in the high-dimensional gene expression state space and can be understood as a dynamical system in which phenotypic cell states (cell types) are attractors that stabilize the cell-type characteristic gene expression pattern against molecular noise. Despite insights from various theoretical models, it remains elusive how multipotent cells, when committing to a specific lineage, exit their attractor and enter a new distinct attractor. Here we show, using single-cell resolution monitoring of transcript patterns by qPCR that commitment of multipotent blood progenitor cells to either the erythroid or the myeloid lineage is preceded by a destabilization of the progenitorsâ?? attractor state and a slowing-down of relaxation of cells from outlier states, indicating a critical state transition (â??tipping pointâ??). The high-dimensionality of the system (many genes) and availability of individual trajectories of a large ensemble of systems (many cells) affords a novel signature for critical transition which can be predicted from theory: Decrease of correlation between cells and concomitant increase of correlation between genes as the cell population approaches the tipping point. Consistent with a destabilizing bifurcation that simultaneously opens access to the erythroid and myeloid attractors, differentiation signal for either lineage caused some cells to commit to the â??wrongâ?? fate; moreover providing conflicting signals resulted in a delayed decision at the bifurcation point that however was ultimately resolved by commitment to one fate. These results suggest that the theoretical framework of â??early-warning signsâ?? and critical transitions can be applied to ensembles of high-dimensional systems, offering a formal tool for analyzing single-cell omics data beyond current descriptive computational pattern recognition. Mouse blood progenitor cells (EML cell line) was exposed to EPO, IL-3/GM-CSF or a mixture of both cytokines and gene expression change was measured in sorted subpopulations wrt Sca1 progenitor surface marker expression. In total, there was 4 conditions (including control), three time points (including d0) and 20 samples (10 samples in duplicates) were analyzed. Two independent experiments were performed for each condition. The untreated progenitor cell population was used as control.

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Transcription profiling of human erythroid progenitor cells treated with thryroid hormone

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