| Literature DB >> 18611946 |
Masaya Ohtsu1, Mika Kawate, Masashi Fukuoka, Wataru Gunji, Fumio Hanaoka, Takahiko Utsugi, Fumitoshi Onoda, Yasufumi Murakami.
Abstract
Transcriptional activation and repression are a key step in the regulation of all cellular activities. The development of comprehensive analysis methods such as DNA microarray has advanced our understanding of the correlation between the regulation of transcription and that of cellular mechanisms. However, DNA microarray analysis based on steady-state mRNA (total mRNA) does not always correspond to transcriptional activation or repression. To comprehend these transcriptional regulations, the detection of nascent RNAs is more informative. Although the nuclear run-on assay can detect nascent RNAs, it has not been fully applied to DNA microarray analysis. In this study, we have developed a highly efficient method for isolating bromouridine-labeled nascent RNAs that can be successfully applied to DNA microarray analysis. This method can linearly amplify small amounts of mRNAs with little bias. Furthermore, we have applied this method to DNA microarray analysis from mouse G2-arrested cells and have identified several genes that exhibit novel expression profiles. This method will provide important information in the field of transcriptome analysis of various cellular processes.Entities:
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Year: 2008 PMID: 18611946 PMCID: PMC2575885 DOI: 10.1093/dnares/dsn015
Source DB: PubMed Journal: DNA Res ISSN: 1340-2838 Impact factor: 4.458
Figure 1Overview of the isolation of nascent RNAs for microarray analysis.
Figure 2Binding specificity of BrU-labeled cRNA by in vitro transcription. (A) eGFP and luciferase gene were transcribed in vitro by T7 RNA polymerase. Br-UTP was used as the substrate instead of UTP during the transcription of eGFP. (B) Mixture of 200 ng of BrU-labeled eGFP and non-labeled luciferase cRNA was immunoprecipitated with addition to blocking agents. The eluted cRNAs were converted into cDNA, and then the cDNA copy number was measured using real-time quantitative PCR. The blocking agents used are as follows: (i) no addition, (ii) uridine, (iii) E. coli 16S and 23S RNAs, and (iv) total RNA from mouse FM3A cells. ‘Ratio (eGFP/Luci.)’ represents the ratio of the eGFP cDNA copy number to the luciferase copy number. Error bars represent standard errors of the means (n = 3).
Figure 3Binding specificity in immunoprecipitation with spike-in controls. (A) Overview of the experiment. (B) Br-eGFP and luciferase cRNA were prepared as spike-in controls. ‘Ratio (eGFP/Luci.)’ represents the ratio of the eGFP cDNA copy number to the luciferase copy number. Error bars represent standard errors of the means (n = 3).
Figure 4(A) Eluted RNAs were converted to cDNA, and cDNA was amplified by TS-PCR. (B) Validation with quantitative RT–PCR of the DNA microarray data using each amplification method. Genes expressed at various levels in the non-amplification method, TS-PCR amplification method, and T7 in vitro transcription (IVT) amplification method were confirmed using quantitative RT–PCR. Quantitative RT–PCR was performed using the total RNA of these transcription factors. Gapd was used as the control. The same total RNA was used for quantitative RT–PCR and DNA microarray experiments. The ratio of the total target RNA levels was normalized by using those of the Tbp (Mus musculus TATA box binding protein) gene, and the fold change for each gene in the differentiated ES cells compared to the control ES cells was calculated. Error bars represent standard deviations of log (base 2) of ratio. (C) Amplified cDNA labeled with Cy3/Cy5 underwent self-self hybridization.
Figure 5DNA microarray analyses of nascent RNAs. (A) FT210 cells were synchronized in the G2 phase by incubation at 39 °C for 17 h. Cell cycle profiles of asynchronous cells and G2-arrested cells were analyzed by propidium iodide staining and flow cytometry. (B) Scatter plots comparing the expression profiles of asynchronous cells with those of G2-arrested cells in a nascent RNA profile (left panel) and a steady-state RNA profile (right panel). (C) The Venn diagrams show the overlap of genes whose expression levels changed more than twofold in the nascent RNA profile and the steady-state RNA profile.
The partial lists of cell cycle related genes whose level of nascent RNAs changed more than twofold in G2 arrested cells
| Gene symbol | Fold changes of nascent RNA | Fold changes of steady-state RNA | Description |
|---|---|---|---|
| 2.00 | 3.29 | Cyclin-dependent kinase inhibitor 1A (P21) | |
| 2.41 | 3.02 | Platelet derived growth factor, alpha | |
| 2.15 | 1.10 | Protein phosphatase 1B, magnesium dependent, beta isoform | |
| 2.53 | 1.41 | Bridging integrator 1 | |
| 2.16 | 1.68 | Cyclin-dependent kinase-like 2 (CDC2-related kinase) | |
| 2.26 | 0.90 | Rho guanine nucleotide exchange factor (GEF) 5 | |
| 2.03 | 0.92 | Protein phosphatase 1, regulatory (inhibitor) subunit 15b | |
| 2.44 | 1.23 | Krüppel-like factor 3 (basic) | |
| 2.11 | 0.94 | P21 (CDKN1A)-activated kinase 2 | |
| 3.30 | 1.04 | 3-phosphoinositide dependent protein kinase-1 | |
| 2.13 | 0.83 | E2F transcription factor 5 | |
| 2.09 | 1.47 | P21 (CDKN1A)-activated kinase 1 | |
| 2.84 | 1.12 | GTP cyclohydrolase I feedback regulator | |
| 0.41 | 0.46 | Thymidine kinase 1 | |
| 0.40 | 0.48 | Adenylate kinase 1 | |
| 0.38 | 1.52 | Dual specificity phosphatase 1 | |
| 0.38 | 0.60 | Serine/threonine kinase 17b (apoptosis-inducing) | |
| 0.29 | 0.89 | Proline-rich nuclear receptor co-activator 2 |
The lists of ribosomal proteins whose level of nascent RNAs changed more than twofold in G2 arrested cells
| Gene symbol | Fold change of Nascent RNA | Fold change of steady-state RNA | Description | TATA box | |
|---|---|---|---|---|---|
| 0.36 | 0.63 | Ribosomal protein, large P2 | − | ||
| 0.49 | 0.98 | Ribosomal protein L9 | − | ||
| 0.48 | 1.02 | Ribosomal protein S29 | − | ||
| 0.41 | 0.99 | Ribosomal protein S25 | − | ||
| 0.49 | 1.00 | Ribosomal protein L27 | − | ||
| Average of fold change of all ribosomal proteins | 0.94 | 0.95 | − | 35% (28 genes) | |
| + | 65% (51 genes)* |
Presence or absence of TATA box and A/T rich similar sequence was based on the Perry et al.[21]
*Ribosomal protein genes which have TATA box or A/T rich tract in those upstream region.