Analysis of RNA expression and DNA cytosine methylation in healthy human hematopoietic stem and progenitor cells
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Boris Bartholdy
PROVIDER: E-GEOD-52152 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Publications
HSC commitment-associated epigenetic signature is prognostic in acute myeloid leukemia.
Bartholdy Boris B Christopeit Maximilian M Will Britta B Mo Yongkai Y Barreyro Laura L Yu Yiting Y Bhagat Tushar D TD Okoye-Okafor Ujunwa C UC Todorova Tihomira I TI Greally John M JM Levine Ross L RL Melnick Ari A Verma Amit A Steidl Ulrich U
The Journal of clinical investigation 20140301 3
Acute myeloid leukemia (AML) is characterized by disruption of HSC and progenitor cell differentiation. Frequently, AML is associated with mutations in genes encoding epigenetic modifiers. We hypothesized that analysis of alterations in DNA methylation patterns during healthy HSC commitment and differentiation would yield epigenetic signatures that could be used to identify stage-specific prognostic subgroups of AML. We performed a nano HpaII-tiny-fragment-enrichment-by-ligation-mediated-PCR (na ...[more]
Similar Datasets
Project description:DNA methylation analysis on purified human long-term and short-term hematopoietic stem cells (LT-HSC, ST-HSC), common myeloid and megakaryocyte-erythrocyte progenitor cells (CMP, MEP) using HELP arrays. FACS-purified hematopoietic stem and progenitor cell (HSPC) subsets were analyzed for changes in DNA methylation using NimbleGen HELP microarrays. Analysis of DNA methylation of bone marrow-derived HSPC subsets of healthy human donors.
2014-02-07 | E-GEOD-52151 | biostudies-arrayexpress
Project description:RNA expression analysis on purified human long-term and short-term hematopoietic stem cells (LT-HSC, ST-HSC), common myeloid and megakaryocyte-erythrocyte progenitor cells (CMP, MEP) using microarrays. FACS-purified hematopoietic stem and progenitor cell (HSPC) subsets were analyzed for changes in RNA expression using NimbleGen gene expression microarrays. Analysis of RNA expression of bone marrow-derived HSPC subsets of healthy human donors.
2014-02-07 | E-GEOD-52150 | biostudies-arrayexpress
Project description:The normal aging process is a complex phenomenon associated with physiological alterations in the function of cells and organs over time. Although an attractive candidate for mediating transcriptional dysregulation, the contribution of epigenetic dysregulation to these progressive changes in cellular function remains unclear. In this study, we employed the genome-wide HELP assay to define patterns of cytosine methylation throughout the rat genome, and the LUMA assay to measure global levels of DNA methylation in the same samples. We studied both liver and visceral adipose tissue, and demonstrated significant differences in DNA methylation with age at >5% of sites analyzed. Furthermore, we showed that epigenetic dysregulation with age is a highly tissue-dependent phenomenon. The most distinctive loci were located at intergenic sequences and conserved non-coding elements, and not at promoters nor at CG-dinucleotide dense loci. Finally, we demonstrated that changes in methylation occur consistently near genes that are involved in metabolism and metabolic regulation, implicating their potential role in the pathogenesis of age-related diseases. We conclude that different patterns of epigenetic dysregulation occur in each tissue over time and may cause some of the physiological changes associated with normal aging. Direct comparison of DNA methylation in 18 samples belonging to four groups: young liver (n=6), young adipose tissue (n=4), old liver (n=5), old adipose tissue (n=3), isolated from F344*BN rats (young at ~3 months, old at ~18 months). Each microarray consists of a two-color comparison of a methylation-sensitive representation of the genome (HpaII) with an internal methylation-insensitive control/reference (MspI).
2010-05-01 | E-GEOD-17332 | biostudies-arrayexpress
Project description:Intrauterine growth restriction (IUGR) increases susceptibility to age-related diseases including type 2 diabetes (T2DM), and is associated with permanent and progressive changes in gene expression and epigenetic regulation. We studied cytosine methylation throughout the genome in pancreatic islets from a rat model of uteroplacental insufficiency, providing a novel and detailed assessment of the genomic distribution and locus-specific patterns of DNA methylation in normal islets as well as the changes that occur as a consequence of IUGR. Utilizing a high throughput approach to study DNA methylation at almost 1 million unique sites throughout the genome, we found ~1,400 changes in methylation (IUGR compared to control) with an estimated false discovery rate of 4.2%. These epigenetic differences were observed in IUGR male rats at 7 weeks of age, preceding the development of diabetes in this model. Therefore, these epigenetic differences represent candidates for mediating the pathogenesis of metabolic disease that occurs later in life in these animals. Moreover, many of the changes we identify are located near genes that regulate processes known to be abnormal in IUGR islets, such as vascularization, β-cell proliferation, insulin secretion, and cell death. Consistent changes in mRNA expression were identified at some of the epigenetically-dysregulated genes including Fgfr1, Gch1, Pcsk5, and Vgf. Globally, epigenetic dysregulation occurred preferentially at conserved intergenic sequences, which are candidate cis-regulatory elements driving differential expression of nearby genes. These results provide insights into the complex developmental consequences of IUGR, and suggest that changes in DNA methylation could mediate a constellation of changes in both gene expression and pancreatic islet development and function, with relevance to T2DM. Direct comparison of DNA methylation in 8 samples consisting of isolated, pooled pancreatic islets from 7-week-old male offspring belonging to 4 IUGR and 4 control litters (Sprague-Dawley rats). Each microarray consists of a two-color comparison of a methylation-sensitive representation of the genome (HpaII) with an internal methylation-insensitive control/reference (MspI).
2010-06-24 | E-GEOD-16839 | biostudies-arrayexpress
Project description:Perturbations of the intrauterine environment can affect fetal development during critical periods of plasticity, and can increase susceptibility to a number of age-related diseases (e.g. type 2 diabetes mellitus; T2DM), manifesting sometimes decades later. We hypothesized that this biological memory is mediated by permanent alterations of the epigenome in stem cell populations. Our studies focused specifically on DNA methylation in CD34+ hematopoietic stem and progenitor cells from cord blood, and utilized a two-stage design involving genome-wide discovery followed by quantitative, single-locus validation. We found that changes in cytosine methylation occur in response to intrauterine growth restriction (IUGR), but that they are of a substantially lesser degree and involve many fewer loci than the epigenomic dysregulation observed in cancer. This is consistent with a comparable study of individuals born following maternal starvation during the Dutch famine. We also identify specific loci that are targeted for dysregulation of DNA methylation, in particular the hepatocyte nuclear factor 4α (HNF4A) gene, a well-known diabetes candidate gene not previously associated with growth restriction in utero, and other loci encoding HNF4A-interacting proteins. Our results give some insights into the potential contribution of epigenomic dysregulation in mediating the long-term consequences of IUGR, and demonstrate the value of this approach to studies of the fetal origin of adult disease. Direct comparison of DNA methylation in 10 neonatal CD34+ samples isolated from umbilical cord blood belonging to two groups: IUGR (n=5) and their age-matched controls (n=5). Each microarray consists of a two-color comparison of a methylation-sensitive representation of the genome (HpaII) with an internal methylation-insensitive control/reference (MspI).
2010-02-17 | E-GEOD-17727 | biostudies-arrayexpress
Project description:We hypothesized that DNA methylation distributes into specific patterns in cancer cells, which reflect critical biological differences. We therefore examined the methylation profiles of 344 patients with acute myeloid leukemia (AML). Clustering of these patients by methylation data segregated patients into 16 groups. Five of these groups defined new AML subtypes that shared no other known feature. In addition, DNA methylation profiles segregated patients with CEBPA aberrations from other subtypes of leukemia, defined four epigenetically distinct forms of AML with NPM1 mutations, and showed that established AML1-ETO, CBFb-MYH11 and PML-RARA leukemia entities are associated with specific methylation profiles. We report a 15-gene methylation classifier predictive of overall survival in an independent patient cohort (p<0.001, adjusted for known covariates). Keywords: DNA methylation profiling DNA methylation profiling of a cohort of 344 AML patients from Erasmus Medical Center and enrolled in clinical trials from the Dutch-German cooperative group HOVON. Additionally, a control group consisting of 8 CD34+ bone marrow samples from healthy donors was also studied.
2010-01-12 | E-GEOD-18700 | biostudies-arrayexpress
Project description:The increase in atopic diseases has occurred in such a short period of time that it becomes difficult to be attributed only to genetic factors, which usually need more prolonged time periods to manifest. In this setting during the last decade, the science of epigenetics has increasingly developed offering new perspectives and opening a new challenging research area. In this study we aimed to study the epigenetic patterns in B CD19+ Lymphocytes from healthy and allergic patients using the improved version of HELP assay. Our study focused specifically on DNA methylation in B CD19+ Lymphocytes isolated from whole blood of dust allergic patients (ALLERGY, n=3), aspirin intolerants (ASPIRIN INTOLERANT, n=3) and healthy subjects (CONTROL, n=3). We utilized a two-stage design involving genome-wide discovery followed by quantitative, single-locus validation. Each microarray consists of a two-color comparison of a methylation-sensitive representation of the genome (HpaII) with an internal methylation-insensitive control/reference (MspI).
2011-12-01 | E-GEOD-26080 | biostudies-arrayexpress
Project description:Cancer cells have an altered distribution of DNA methylation and express aberrant DNA methyltransferase 3B transcripts, which encode truncated proteins. To test if a truncated DNMT3B isoform disrupts DNA methylation in vivo, we constructed transgenic mice expressing DNMT3B7, a common truncated DNMT3B isoform in cancer cells. DNMT3B7 transgenic mice exhibit altered embryonic development, including lymphopenia, craniofacial abnormalities, and cardiac defects, similar to Dnmt3b-deficient animals, but rarely develop cancer. However, DNMT3B7 expression increases the frequency of mediastinal lymphomas in Eμ−myc animals. Eμ-myc/DNMT3B7 lymphomas have more chromosomal rearrangements, increased global methylation levels, and more locus-specific perturbations in DNA methylation patterns compared to Eμ-myc lymphomas. Our results demonstrate that a truncated DNMT3B protein can alter tumorigenesis, suggesting a similar role in human tumors. Direct comparison of DNA methylation in lymphoma samples from Eu-Myc vs Eu-Myc/Dnmt3b7 mice.
2010-07-30 | E-GEOD-21273 | biostudies-arrayexpress
Project description:The molecular heterogeneity of acute leukemias and other tumors constitutes a major obstacle towards understanding disease pathogenesis and developing new targeted-therapies. Aberrant gene regulation is a hallmark of cancer and plays a central role in determining tumor phenotype. We predicted that integration of different genome-wide epigenetic regulatory marks along with gene expression levels would provide greater power in capturing biological differences between leukemia subtypes. Gene expression, cytosine methylation and histone H3 lysine 9 (H3K9) acetylation were measured using high-density oligonucleotide microarrays in primary human acute myeloid leukemia (AML) and acute lymphocytic leukemia (ALL) specimens. We found that DNA methylation and H3K9 acetylation distinguished these leukemias of distinct cell lineage, as expected, but that an integrative analysis combining the information from each platform revealed hundreds of additional differentially expressed genes that were missed by gene expression arrays alone. This integrated analysis also enhanced the detection and statistical significance of biological pathways dysregulated in AML and ALL. Integrative epigenomic studies are thus feasible using clinical samples and provide superior detection of aberrant transcriptional programming than single-platform microarray studies. Keywords: DNA methylation by HELP 5 acute leukemia samples (2 ALL and 3 AML) in triplicate. Replicate #3 from sample ALL2 was discarded due to bad hybridization quality. No dye swap was performed.
2008-04-01 | E-GEOD-10894 | biostudies-arrayexpress
Project description:Acute lymphoblastic leukemia (ALL), the commonest childhood malignancy, is characterized by recurring gross and submicroscopic structural genetic alterations that contribute to leukemogenesis. Disordered epigenetic regulation is a hallmark of many tumors, and while analysis of DNA methylation of limited numbers of genes or ALL samples suggests epigenetic alterations may also be important, a large-scale integrative genome-wide analysis evaluating DNA methylation in ALL has not been performed. Here, we report an integrated epigenomic, transcriptional and genetic analysis of 167 childhood ALL cases, comprising B-progenitor ALL with hyperdiploidy (N=26), ETV6-RUNX1 (N=27), TCF3-PBX1 (N=9), BCR-ABL1 (N=19), rearrangement of MLL (MLLr) (N=20), rearrangement of CRLF2 (N=11, CRLF2r), deletion of ERG (N=11), miscellaneous or normal karyotype (N=14), and T-lineage ALL (N=30), including 4 MLLr cases and 7 cases with early T-cell precursor immunophenotype. Genome-wide profiling of structural DNA alterations was performed for all cases using Affymetrix 500K and SNP 6.0 arrays. Affymetrix U133A gene expression profiling data was available for 154 cases [GEO Series GSE26281]. Genome-wide methylation profiling was performed using the HELP microarray assay, which measures methylation at approximately 50,000 CpGs distributed among 22,722 Refseq promoters. Methylation data was compared to that of normal pro-B (CD34+CD19+sIg-), pre-B (CD34-CD19+sIg-) and mature B (CD34-CD19+sIg+) cells FACS-sorted from bone marrow of 6 healthy individuals. Unsupervised hierarchical clustering of the top 4043 most variable methylation probesets identified 9 B-ALL clusters with significant correlation to specific genetic lesions including ETV6-RUNX1, MLLr, BCR-ABL1, CRLF2r, TCF3-PBX1 and ERG deletion. T-ALLs and hyperdiploid B-ALLs also defined specific DNA methylation clusters. Supervised analysis including limma and ANOVA identified distinct DNA methylation signatures for each subtype. Notably, the strength of these signatures was subtype dependent, with more differentially methylated genes observed in ALL cases with genetic alterations targeting transcriptional regulators (e.g. ETV6-RUNX1 and MLLr) and fewer genes in cases with alterations deregulating cytokine receptor signaling (e.g. CRLF2r). Aberrant DNA methylation affected specific and distinct biological processes in the various leukemia subtypes implicating epigenetic regulation of these pathways in the pathogenesis of these different forms of ALL (e.g. TGFB and TNF in ERG deleted leukemias; telomere and centriole regulation in BCR-ABL1 ALL). Aberrantly methylated genes were also enriched for binding sites of known or suspected oncogenic transcription factors that might represent cooperative influences in establishing the phenotype of the various B-ALL subtypes. Most importantly, an integrated analysis of methylation and gene expression of these ALL subtypes demonstrated striking inversely correlated expression of the corresponding gene transcripts. The methylation signatures of each subtype exhibited only partial overlap with those of normal B cells, indicating that the signatures do not simply reflect stage of lymphoid maturation. In a separate approach, we discovered that 81 genes showed consistent aberrant methylation across all ALL subtypes, including the tumor suppressor PDZD2, HOXA5, HOXA6 and MSH2. Inverse correlation with expression was confirmed in 66% of these genes. These data suggest the existence of a common epigenetic pathway underlying the malignant transformation of lymphoid precursor cells. Integrative genetic and epigenetic analysis revealed hypermethylation of genes on trisomic chromosomes that do not show increased expression, suggesting that epigenetic silencing may control genes within amplified regions and explain why only selected genes are overexpressed. Finally, analysis of individual genes targeted by recurring copy number alterations in ALL revealed a subset of genes also targeted by abnormal methylation, with corresponding changes in gene expression (e.g. ERG, GAB1), suggesting that such genes are inactivated far more frequently than suggested by genetic analyses alone. Collectively, the data support a key role of epigenetic gene regulation in the pathogenesis of ALL, and point towards a scenario where genetic and epigenetic lesions cooperatively determine disease phenotype. 186 samples were analyzed by DNA methylation on the HELP array, including 167 Diagnostic ALL samples and 19 Normal Bone Marrow B cells. There are no replicates
2013-06-27 | E-GEOD-38295 | biostudies-arrayexpress