Gene structures and promoter characteristics of interferon regulatory factor 1 (IRF-1), IRF-2 and IRF-7 from snakehead Channa argus

Three interferon regulatory factor (IRF) genes, CaIRF-1, CaIRF-2 and CaIRF-7, and their promoters of snakehead (Channa argus) were cloned and characterized. The CaIRF-1 gene consists of ten exons, spans 4.3 kb and encodes a putative peptide of 299 aa. The CaIRF-2 gene consists of nine exons, spans 8 kb and encodes a putative peptide of 328 aa. The gene organizations of CaIRF-1 and CaIRF-2 are very similar to that of human IRF-1 and IRF-2 except more compact. Comparison of exon-intron organization of the two genes indicated a common evolutionary structure, notably within the exons encoding the DNA binding domain (DBD) of the two factors. The CaIRF-7 gene spans 4.1 kb and encodes a putative peptide of 437 aa. However, the gene organization of CaIRF-7 consisting of ten exons is different to human IRF-7a gene which has an intron in 5' UTR. Three CaIRFs share homology in N-terminal encompassing the DBD that contains a characteristic repeat of tryptophan residues. The promoters of CaIRF-1 and CaIRF-2 genes contain the conserved sites for NF-kappa B and Sp1. The gamma-IFN activation sites (GAS) were found in the promoters of CaIRF-1 and CaIRF-7. The promoter of CaIRF-7 contains conserved interferon stimulating response element (ISRE) which is characteristic of IFN-induced gene promoter, and suggests that there also exist intracellular amplifier circuit in fish IFN signal pathway. Moreover, the element GAAANN oriented in both directions is repeated in CaIRF promoter regions, which confers to further inducibility by IFN. The constitutive expression of CaIRF genes were found to increase obviously in response to induction by the known IFN-inducer poly I:C. (c) 2008 Published by Elsevier Ltd.

Molecular characterization and subcellular localization of Carassius auratus interferon regulatory factor-1

Interferon (IFN)-regulatory transcription factor-1 (IRF-1) has been studied in mammals and fish but little is known about the relationship between its gene structure and nuclear 'ion of IRF-1 protein. In this study, a cDNA encoding Carassius auratus IRF-1 (CaIRF-1) was isolated from an interferon-producing cell line, C. ouratus blastulae embryonic (CAB) cells, exposed to UV-inactivated grass carp hemorrhagic virus (GCHV). The CaIRF-1 genomic locus exhibits exon-intron arrangements similar to those of other vertebrate IRF-1 loci, with nine exons and eight introns, although together with pufferfish IRF-1, CaIRF-1 distinguishes itself from other vertebrate IRF-1 genes by a relatively compact genomic size. Similar to the known IRF-1 genes, CaIRF-1 is ubiquitously expressed, and is upregulated in vitro and in vivo in response to virus, Poty I:C, or CAB INF-containing supernatant (ICS). Subcellular localization analysis confirms the nuclear distribution of CaIRF-1 protein, and reveals two nuclear localization signals (NILS), any one of which is sufficient for nuclear translocation of CaIRF-1. One NLS Locates to amino acids 117-146, and appears to be the structural and functional equivalent of the NLS in mammalian IRF-1. The second NLS (amino acids 73-115) is found within the DNA-binding domain (DBD) of CaIRF-1, and contains two regions rich in basic amino acids (''(KDKSINK101)-K-95" and ''(75)KTWKANFR(82)"). In comparison with mammalian IRF-1, in which the corresponding amino acid stretch does not seem to drive nuclear translocation, five conserved basic amino acids (K-75, K-78, R-82, K-95, and K-101) and one non-conserved basic amino acid (K-97) are present in this NLS from CaIRF-1. This observation suggests that K97 Of CaIRF-1 might be essential for the function of its second NLS, wherein the six basic aminoacids might cooperate to drive CaIRF-1 to the nucleus. Therefore, the current study has revealed a new nuclear localization motif in the DBD of a vertebrate IRF-1. (C) 2007 Elsevier Ltd. All rights reserved.

Upstream regulatory region of zebrafish lunatic fringe: Isolation and promoter analysis

Lunatic fringe (Lfng), one modulator of Notch signaling, plays an essential part in demarcation of tissues boundaries during animal early development, especially somitogenesis. To characterize the promoter of zebrafish 1fng and generate somite-specific transgenic zebrafish, we isolated the upstream regulatory region of zebrafish 1fng by blast search at the Ensembl genome database (http://www. ensembl.org) and analyzed the promoter activity using green fluorescent protein (GFP) as a reporter. Promoter activity assay in zebrafish shows that the 0.2-kb fragment containing GC-box, CAAT-box, and TATA-box can direct tissue-specific GFP expression, while the 0.4-kb and 1.2-kb fragments with further upstream sequence included drive GFP expression more efficiently. We produced 1fngEGFP-transgenic founders showing somite-specific expression of GFP and consequently generated a hemizygous 1fngEGFP-transgenic line. The eggs from 1fngEGFP-transgenic female zebrafish show strong GFP expression, which is consistent to the reverse-transcription polymerase chain reaction PCR (RT-PCR) detection of 1fng transcripts in the fertilized eggs. This reveals that zebrafish 1fng is a maternal factor existing in matured eggs, suggesting that fish somitogcnesis may be influenced by maternal factors.

Dynamics of microcystins-LR and -RR in the phytoplanktivorous silver carp in a sub-chronic toxicity experiment

A sub-chronic toxicity experiment was conducted to examine tissue distribution and depuration of two microcystins (microcystin-LR and microcystin -RR) in the phytoplanktivorous filter-feeding silver carp during a course of 80 days. Two large tanks (A, B) were used, and in Tank A, the fish were fed naturally with fresh Microcystis viridis cells (collected from a eutrophic pond) throughout the experiment, while in Tank B, the food of the fish were M. viridis cells for the first 40 days and then changed to artificial carp feed. High Performance Liquid Chromatography (HPLC) was used to measure MC-LR and MC-RR in the M. viridis cells, the seston, and the intestine, blood, liver and muscle tissue of silver carp at an interval of 20 days. MC-RR and MC-LR in the collected Microcystis cells varied between 268-580 and 110-292 mug g(-1) DW, respectively. In Tank A, MC-RR and MC-LR varied between 41.5-99.5 and 6.9-15.8 mug g(-1) DW in the seston, respectively. The maximum MC-RR in the blood, liver and muscle of the fish was 49.7, 17.8 and 1.77 mug g(-1) DW, respectively. No MC-LR was detectable in the muscle and blood samples of the silver carp in spite of the abundant presence of this toxin in the intestines (for the liver, there was only one case when a relatively minor quantity was detected). These findings contrast with previous experimental results on rainbow trout. Perhaps silver carp has a mechanism to degrade MC-LR actively and to inhibit MC-LR transportation across the intestines. The depuration of MC-RR concentrations occurred slowly than uptakes in blood, liver and muscle, and the depuration rate was in the order of blood > liver > muscle. The grazing ability of silver carp on toxic cyanobacteria suggests an applicability of using phytoplanktivorous fish to counteract cyanotoxin contamination in eutrophic waters. (C) 2003 Elsevier Ltd. All rights reserved.

Molecular cloning and characterization of crucian carp (Carassius auratus L.) interferon regulatory factor 7

Interferon (IFN) can induce an antiviral state via interferon-regulatory transcription factors (IRFs), which bind to and control genes directed by the interferon-stimulated response element (ISRE). Here we describe a fish IRF, termed CaIRF7, cloned from a subtractive cDNA library which is constructed with mRNAs obtained from crucian carp (Carassius auratus L.) blastulae embryonic (CAB) cells infected by UV-inactivated GCHV and mock-infected cells. CaIRF7 cDNA was found to be 1816 bp in length, with a 42 bp 5' UTR and a 508 bp 3' UTR. The open reading frame translates into 421 amino acids in which a DNA-binding domain (DBD) containing the repeated tryptophan motif and IRFs association domain have been identified. Like chicken GgIRF3, CaIRF7 was most similar to mammalian IRF7 with 27 to 30% identity overall and some 37% identity in their DBDs. A single transcript of 1.9 kb was detected in virally induced CAB cells by virtual Northern blotting. RT-PCR analysis revealed a wide tissue distribution of CaIRF7 constitutive expression, with detectable transcript in non-infected CAB cells and various tissues of healthy crucian carp. In addition, CaIRF7 expression was differentially increased by stimulation of the CAB cells with active GCHV, UV-inactivated GCHV or CAB IFN, indicating that the activation of CaIRF7 was directly regulated by IFN. (C) 2003 Published by Elsevier Ltd.

海量层次信息的Focus+Context交互式可视化技术

综述了海量层次信息可视化与Focus+Context技术的相关工作,针对海量层次信息可视化的交互问题,在嵌套圆可视化技术的基础上提出了基于上下文感知的Focus+Context交互式可视化技术.首先,基于外切圆排列方法提出对圆心进行三角网格剖分的方法,为变形计算建立上下文;然后,针对变形计算前后上下文一致性问题,在三角网格邻居跟踪方法的基础上,提出了用于同层兄弟节点上下文感知的外切圆变形排列方法,以及用于父子节点上下文感知的嵌套圆迭代排列方法.实验结果表明。上述方法在实现焦点突出的鱼眼视图的同时,能够有效地解决Focus+Context交互式可视化的上下文感知问题.上述方法应用于文件系统海量层次信息的交互式可视化问题,提供了交互式可视化工具.

面向网状信息的Radial+Focus可视化

针对当前网状信息可视化技术忽略了网状信息节点的可视信息的问题,提出一种面向网状信息的Radial+Focus可视化技术。首先介绍网状信息节点的信息详细度与先验重要度,并研究通过节点的交互历史计算节点的先验重要度的方法;然后研究了基于节点先验重要度的Radial+Focus布局算法;最后,给出了Radial+Focus可视化技术的应用实例和实验评估。实验评估表明,该技术能自然、高效地可视化网状信息,为用户对网状信息关系及网状信息节点的可视信息的分析提供有力的支持。

Targeted RNA interference of cyclin A(2) mediated by functionalized single-walled carbon nanotubes induces proliferation arrest and apoptosis in chronic myelogenous leukemia K562 cells

Cyclin A(2) plays critical role in DNA replication, transcription, and cell cycle regulation. Its overexpression has been detected and related to many types of cancers including leukemia, suggesting that suppression of cyclin A(2) would be an attractive strategy to prevent tumor progression. Herein, we apply functionalized single wall carbon nanotubes (f-SWNTs) to carry small interfering RNA (siRNA) into K562 cells and determine whether inhibition of cyclin A(2) would be a potential therapeutic target for chronic myelogenous leukemia.

Single molecule dynamics and statistical fluctuations of gene regulatory networks: A repressilator

The authors developed a time dependent method to study the single molecule dynamics of a simple gene regulatory network: a repressilator with three genes mutually repressing each other. They quantitatively characterize the time evolution dynamics of the repressilator. Furthermore, they study purely dynamical issues such as statistical fluctuations and noise evolution. They illustrated some important features of the biological network such as monostability, spirals, and limit cycle oscillation. Explicit time dependent Fano factors which describe noise evolution and show statistical fluctuations out of equilibrium can be significant and far from the Poisson distribution. They explore the phase space and the interrelationships among fluctuations, order, amplitude, and period of oscillations of the repressilators. The authors found that repressilators follow ordered limit cycle orbits and are more likely to appear in the lower fluctuating regions. The amplitude of the repressilators increases as the suppressing of the genes decreases and production of proteins increases. The oscillation period of the repressilators decreases as the suppressing of the genes decreases and production of proteins increases.

Potential energy landscape and robustness of a gene regulatory network: Toggle switch

Finding a multidimensional potential landscape is the key for addressing important global issues, such as the robustness of cellular networks. We have uncovered the underlying potential energy landscape of a simple gene regulatory network: a toggle switch. This was realized by explicitly constructing the steady state probability of the gene switch in the protein concentration space in the presence of the intrinsic statistical fluctuations due to the small number of proteins in the cell. We explored the global phase space for the system. We found that the protein synthesis rate and the unbinding rate of proteins to the gene were small relative to the protein degradation rate; the gene switch is monostable with only one stable basin of attraction. When both the protein synthesis rate and the unbinding rate of proteins to the gene are large compared with the protein degradation rate, two global basins of attraction emerge for a toggle switch. These basins correspond to the biologically stable functional states. The potential energy barrier between the two basins determines the time scale of conversion from one to the other. We found as the protein synthesis rate and protein unbinding rate to the gene relative to the protein degradation rate became larger, the potential energy barrier became larger. This also corresponded to systems with less noise or the fluctuations on the protein numbers.