Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of human fibroblasts synchronized and treated with 1.5 Gy irraditation to identify primary transcriptional regulation of cell-cycle-regulated genes upon DNA damage

ABSTRACT: The changes in global gene expression in response to DNA damage may derive from either direct induction or repression by transcriptional regulation or indirectly by synchronization of cells to specific cell cycle phases, such as G1 or G2. We developed a model that successfully estimated the expression levels of >400 cell-cycle-regulated genes in normal human fibroblasts based on the proportions of cells in each phase of the cell cycle. By isolating effects on the gene expression associated with the cell cycle phase redistribution after genotoxin treatment, the direct transcriptional target genes were distinguished from genes for which expression changed secondary to cell synchronization. Application of this model to ionizing radiation (IR)-treated normal human fibroblasts identified 150 of 406 cycle-regulated genes as putative direct transcriptional targets of IR-induced DNA damage. Changes in expression of these genes after IR treatment derived from both direct transcriptional regulation and cell cycle synchronization. Experiment Overall Design: Normal human fibroblasts were synchronized and harvested at G0, G1, S G2 and M cell cycle phase, and logarithmically growing cells were treated with 1.5 Gy IR or sham, and harvested at 2, 6 or 24 h after the treatment. Total RNA was isolated using Qiagen RNeasy kit. The quality of all RNA samples was confirmed using an Agilent 2100 Bioanalyzer. Microarray analysis was then performed: briefly, 1 Âµg of sample RNA and global reference RNA (Stratagene) were converted to cDNA with reverse transcriptase then amplified using T7 RNA polymerase while labeling with either Cy3-dUTP or Cy5-dUTP (Agilentâ??s Low RNA Input Linear Amplification Kit). The quality of each labeled cRNA was evaluated using an Agilent 2100 Bioanalyzer prior to hybridization. 750ng of Cy3 and Cy5-labeled cRNA were used in the hybridization. The labeled cRNA from sham- or IR-treated samples was hybridized with the labeled global reference cRNA on an Agilent 22k human 1A array in a hybridization oven (Robbins Scientific Model 400, 1040-60-1AG) at 60oC for 17 h. Hybridization of sample RNA against reference RNA was done twice with dye swap. Following hybridization, the arrays were scanned using the Agilent DNA Microarray Scanner with SureScanÂ® Technology and microarray images were analyzed using Agilent Feature Extraction Software (v7.1). The gene expression level was presented as ratio of sample intensity against reference intensity.

ORGANISM(S): Homo sapiens

SUBMITTER: Tong Zhou

PROVIDER: E-GEOD-7075 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Identification of primary transcriptional regulation of cell cycle-regulated genes upon DNA damage.

Zhou Tong T Chou Jeff J Mullen Thomas E TE Elkon Rani R Zhou Yingchun Y Simpson Dennis A DA Bushel Pierre R PR Paules Richard S RS Lobenhofer Edward K EK Hurban Patrick P Kaufmann William K WK

Cell cycle (Georgetown, Tex.) 20070419 8

The changes in global gene expression in response to DNA damage may derive from either direct induction or repression by transcriptional regulation or indirectly by synchronization of cells to specific cell cycle phases, such as G1 or G2. We developed a model that successfully estimated the expression levels of >400 cell cycle-regulated genes in normal human fibroblasts based on the proportions of cells in each phase of the cell cycle. By isolating effects on the gene expression associated with ...[more]

PMID: 17404513

Similar Datasets

Project description:Cell cycle arrest and transcriptional responses to ionizing radiation (IR)-induced DNA damage were quantified in telomerase-expressing human diploid fibroblasts. Assays of clonal expansion established 1.5 Gy IR as the D0 dose in three fibroblast lines and this dose was used in all subsequent analyses. Fibroblasts exhibited >90% arrest of progression from G2 to M at 2 h and from G1 to S at 6 and 12 h post-IR. Normal rates of DNA synthesis and mitosis 6 and 12 h after irradiation caused the S and M compartments to empty by over 70% at 24 h. Microarray monitored global gene expression in IR-treated cells and a new microarray analysis algorithm, EPIG, identified nine IR-responsive patterns of gene expression including a dominant p53-dependent G1 checkpoint response. Many p53 target genes, like CDKN1A, GADD45, BTG2 and PLK3, were significantly up-regulated at 2 h post-IR while many genes whose expression is regulated by E2F family transcription factors, including CDK2, CCNE1, CDC6, CDC2, MCM2, were significantly down-regulated at 24 h post-IR. Numerous genes that participate in DNA metabolism were also markedly repressed in arrested fibroblasts as a result of cell synchronization behind the G1 checkpoint. However, cluster and principal component analyses of gene expression revealed a profile of gene expression 24 h after IR with similarity to that of G0 growth quiescence. These results demonstrate a highly stereotypic pattern of response to IR that reflects primarily synchronization behind the G1 checkpoint but with prominent induction of additional markers of G0 quiescence such as GAS1. Experiment Overall Design: Logarithmically growing cells were treated with 1.5 Gy IR or sham, and harvested at 2, 6 or 24 h after the treatment. Total RNA was isolated using Qiagen RNeasy kit. The quality of all RNA samples was confirmed using an Agilent 2100 Bioanalyzer. Microarray analysis was then performed: briefly, 1 Âµg of sample RNA and global reference RNA (Stratagene) were converted to cDNA with reverse transcriptase then amplified using T7 RNA polymerase while labeling with either Cy3-dUTP or Cy5-dUTP (Agilentâs Low RNA Input Linear Amplification Kit). The quality of each labeled cRNA was evaluated using an Agilent 2100 Bioanalyzer prior to hybridization. 750ng of Cy3 and Cy5-labeled cRNA were used in the hybridization. The labeled cRNA from sham- or IR-treated samples was hybridized with the labeled global reference cRNA on an Agilent 22k human 1A array in a hybridization oven (Robbins Scientific Model 400, 1040-60-1AG) at 60oC for 17 h. Hybridization of sample RNA against reference RNA was done twice with dye swap. Following hybridization, the arrays were scanned using the Agilent DNA Microarray Scanner with SureScanÂ® Technology and microarray images were analyzed using Agilent Feature Extraction Software (v7.1). The gene expression level was presented as ratio of sample intensity against reference intensity.

Project description:The relationships between profiles of global gene expression and DNA damage checkpoint functions were studied in cells from patients with ataxia telangiectasia (AT). Three telomerase-expressing AT fibroblast lines displayed the expected hypersensitivity to ionizing radiation (IR) and defects in DNA damage checkpoints. Profiles of global gene expression in AT cells were determined at 2, 6 and 24 h after treatment with 1.5 Gy IR or sham-treatment, and were compared to those previously recognized in normal human fibroblasts. Under basal conditions 160 genes or ESTs were differentially expressed in AT and normal fibroblasts, and these were associated by gene ontology with insulin-like growth factor binding and regulation of cell growth. Upon DNA damage, 1091 gene mRNAs were changed in at least two of the three AT cell lines. When compared with the 1811 genes changed in normal human fibroblasts after the same treatment, 715 were found in both AT and normal fibroblasts, including most genes categorized by gene ontology into cell cycle, cell growth and DNA damage response pathways. However, the IR-induced changes in these 715 genes in AT cells usually were delayed or attenuated in comparison to normal cells. The reduced change in DNA-damage-response genes and the attenuated repression of cell-cycle-regulated genes may account for the defects in cell cycle checkpoint function in AT cells. The observation of attenuated and not ablated checkpoint responses in AT cells supports a hypothesis that the ATM- and rad3-related checkpoint kinase ATR also responds to IR-induced DNA damage and complements ATM signaling. Experiment Overall Design: Logarithmically growing cells were treated with 1.5 Gy IR or sham, and harvested at 2, 6 or 24 h after the treatment. Total RNA was isolated using Qiagen RNeasy kit. The quality of all RNA samples was confirmed using an Agilent 2100 Bioanalyzer. Microarray analysis was then performed: briefly, 1 Âµg of sample RNA and global reference RNA (Stratagene) were converted to cDNA with reverse transcriptase then amplified using T7 RNA polymerase while labeling with either Cy3-dUTP or Cy5-dUTP (Agilentâs Low RNA Input Linear Amplification Kit). The quality of each labeled cRNA was evaluated using an Agilent 2100 Bioanalyzer prior to hybridization. 750ng of Cy3 and Cy5-labeled cRNA were used in the hybridization. The labeled cRNA from sham- or IR-treated samples was hybridized with the labeled global reference cRNA on an Agilent 22k human 1A array in a hybridization oven (Robbins Scientific Model 400, 1040-60-1AG) at 60oC for 17 h. Hybridization of sample RNA against reference RNA was done twice with dye swap. Following hybridization, the arrays were scanned using the Agilent DNA Microarray Scanner with SureScanÂ® Technology and microarray images were analyzed using Agilent Feature Extraction Software (v7.1). The gene expression level was presented as ratio of sample intensity against reference intensity.

Project description:The obese people with abnormal BMI are predisposed to insulin resistance and diabetes. At the same time, human subjects with obesity and high BMI that are otherwise insulin sensitive are an interesting group to study the underlying gene expression patterns which provide them with such protective phenotype. Objective: Insulin resistance (IR) is one of the earliest predictors of type 2 diabetes. However, diagnosis of IR is limited. High fat fed mouse models provide key insights into IR. We hypothesized that early features of IR are associated with persistent changes in gene expression (GE) and endeavoured to (a) develop novel methods for improving signal:noise in analysis of human GE using mouse models; (b) identify a GE motif that accurately diagnoses IR in humans; and (c) identify novel biology associated with IR in humans. Methods: We integrated human muscle GE data with longitudinal mouse GE data and developed an unbiased three-level cross-species analysis platform (single-gene, gene-set and networks) to generate a gene expression motif (GEM) indicative of IR. A logistic regression classification model validated GEM in 3 independent human datasets (n =115). Results: This GEM of 93 genes substantially improved diagnosis of IR compared to routine clinical measures across multiple independent datasets. Individuals misclassified by GEM possessed other metabolic features raising the possibility that they represent a separate metabolic subclass. The GEM was enriched in pathways previously implicated in insulin action and revealed novel associations between Î²-catenin and Jak1 and IR. Functional analyses using small molecule inhibitors showed an important role for these proteins in insulin action. Conclusions: This study shows that systems approaches for identifying molecular signatures provides a powerful way to stratify individuals into discrete metabolic groups. Moreover, we speculate that the Î²-catenin pathway may represent a novel biomarker for IR in humans that warrant future investigation. Gene expression from muscle biopsies of Lean, Obese insulin sensitive (OIS), Obese insulin resistant (OIR) and obese T2D patients (T2D) were compared for differential expression between the groups (n=7 in each group)

Dataset Information

Transcription profiling of human fibroblasts synchronized and treated with 1.5 Gy irraditation to identify primary transcriptional regulation of cell-cycle-regulated genes upon DNA damage

Publications

Identification of primary transcriptional regulation of cell cycle-regulated genes upon DNA damage.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets