批次和流加培养中国仓鼠卵巢工程细胞的细胞周期相关基因转录谱分析

以表达人重组尿激酶原中国仓鼠卵巢 (CHO) 工程细胞系11G-S为研究对象,运用基因芯片技术比较了CHO工程细胞在批次及流加培养不同生长阶段基因表达水平的差异,在此基础上采用Genmapp软件,同时结合已知的细胞周期信号通路图,着重分析了批次及流加培养CHO工程细胞的细胞周期调控基因转录谱差异。在基因芯片涉及的19 191个目标基因中,批次和流加培养不同生长阶段CHO工程细胞的下调表达的基因数量多于上调表达基因数目;两种培养模式下的基因差异表达有着明显的不同,尤其是在细胞生长的衰退期,流加培养CHO工程细胞中下调表达的基因数量明显多于批次培养。有关调控细胞周期关键基因的转录谱分析表明,CHO工程细胞主要是通过下调表达CDKs、Cyclin及CKI家族中的Cdk6、Cdk2、Cdc2a、Ccne1、Ccne2基因及上调表达Smad4基因,来达到调控细胞增殖及维持自身活力的目的。     

A cell cycle regulatory network controlling NF-kappaB subunit activity and function

Aberrantly active NF-kappaB complexes can contribute to tumorigenesis by regulating genes that promote the growth and survival of cancer cells. We have investigated NF-kappaB during the cell cycle and find that its ability to regulate the G1-phase expression of key proto-oncogenes is subject to regulation by the integrated activity of IkappaB kinase (IKK)alpha, IKKbeta, Akt and Chk1. The coordinated binding of NF-kappaB subunits to the Cyclin D1, c-Myc and Skp2 promoters is dynamic with distinct changes in promoter occupancy and RelA(p65) phosphorylation occurring through G1, S and G2 phases, concomitant with a switch from coactivator to corepressor recruitment. Akt activity is required for IKK-dependent phosphorylation of NF-kappaB subunits in G1 and G2 phases, where Chk1 is inactive. However, in S-phase, Akt is inactivated, while Chk1 phosphorylates RelA and associates with IKKalpha, inhibiting the processing of the p100 (NF-kappaB2) subunit, which also plays a critical role in the regulation of these genes. These data reveal a complex regulatory network integrating NF-kappaB with the DNA-replication checkpoint and the expression of critical regulators of cell proliferation.     

Predictive modeling of non‐viral gene transfer

In non‐viral gene delivery, the variance of transgenic expression stems from the low number of plasmids successfully transferred. Here, we experimentally determine Lipofectamine‐ and PEI‐mediated exogenous gene expression distributions from single cell time‐lapse analysis. Broad Poisson‐like distributions of steady state expression are observed for both transfection agents, when used with synchronized cell lines. At the same time, co‐transfection analysis with YFP‐ and CFP‐coding plasmids shows that multiple plasmids are simultaneously expressed, suggesting that plasmids are delivered in correlated units (complexes). We present a mathematical model of transfection, where a stochastic, two‐step process is assumed, with the first being the low‐probability entry step of complexes into the nucleus, followed by the subsequent release and activation of a small number of plasmids from a delivered complex. This conceptually simple model consistently predicts the observed fraction of transfected cells, the cotransfection ratio and the expression level distribution. It yields the number of efficient plasmids per complex and elucidates the origin of the associated noise, consequently providing a platform for evaluating and improving non‐viral vectors. Biotechnol. Bioeng. 2010. 105: 805–813. © 2009 Wiley Periodicals, Inc.     

Efficiency of expression of transfected genes depends on the cell cycle

Lipofection, a lipid-mediated DNA transfection procedure, was used to transfect synchronized L929 mouse fibroblast cells with a reporter plasmid containing the bacterial chloramphenicol acetyltransferase gene. The efficiency of gene expression was investigated on transfection of cells at different stages of the cell cycle. Our data show that expression of the reporter gene was minimal when transfection was performed in G0-phase and parallel experimental data disproved the possibility that the reduced expression observed was due to differential uptake at different times in the cell cycle. Investigation into the condensation state of the plasmid has shown that the low chloramphenicol acetyltransferase gene expression could be a direct consequence of the packaging of the plasmid into condensed chromatin when transfection occurs in G0-phase. The inactivation of the reporter gene is not reversed by growth of the cells in high serum or by treatment with Trichostatin A, a specific inhibitor of histone deacetylase, suggesting that the inactive chromatin formed in G0-phase cells lacks associated histone acetylase activity. In contrast, the high activity seen when cells in S-phase are transfected is enhanced even further by treatment with Trichostatin A.     

The role of the cell cycle in determining gene expression and productivity in CHO cells

Understanding the relationships between cell cycle and protein expression is critical to the optimisation of media and environmental conditions for successful commercial operation of animal cell culture processes. Using flow cytometry for the analysis of the early phases of synchronised batch cultures, the dependency of product expression on cell cycle related events has been evaluated in a recombinant CHO cell line. Although the production of recombinant protein is initially found to be cell cycle related, the maximum specific protein productivity is only achieved at a later stage of the exponential phase which also sees a maximum in the intracellular protein concentration. Subsequent work suggests that it is the batch phase/medium composition of cultures which is the major determinant of maximum specific productivity in this cell line. Furthermore the effect of the positive association between S phase and specific productivity is subordinate to the effect of batch phase/medium composition on the specific productivity of batch cultures. This revised version was published online in July 2006 with corrections to the Cover Date.     

Modeling stochastic noise in gene regulatory systems

The Master equation is considered the gold standard for modeling the stochastic mechanisms of gene regulation in molecular detail, but it is too complex to solve exactly in most cases, so approximation and simulation methods are essential. However, there is still a lack of consensus about the best way to carry these out. To help clarify the situation, we review Master equation models of gene regulation, theoretical approximations based on an expansion method due to N.G. van Kampen and R. Kubo, and simulation algorithms due to D.T. Gillespie and P. Langevin. Expansion of the Master equation shows that for systems with a single stable steady-state, the stochastic model reduces to a deterministic model in a first-order approximation. Additional theory, also due to van Kampen, describes the asymptotic behavior of multistable systems. To support and illustrate the theory and provide further insight into the complex behavior of multistable systems, we perform a detailed simulation study comparing the various approximation and simulation methods applied to synthetic gene regulatory systems with various qualitative characteristics. The simulation studies show that for large stochastic systems with a single steady-state, deterministic models are quite accurate, since the probability distribution of the solution has a single peak tracking the deterministic trajectory whose variance is inversely proportional to the system size. In multistable stochastic systems, large fluctuations can cause individual trajectories to escape from the domain of attraction of one steady-state and be attracted to another, so the system eventually reaches a multimodal probability distribution in which all stable steady-states are represented proportional to their relative stability. However, since the escape time scales exponentially with system size, this process can take a very long time in large systems.     

Histone gene transcription: A model for responsiveness to an integrated series of regulatory signals mediating cell cycle control and proliferation/differentiation interrelationships

Histone gene expression is restricted to the S-phase of the cell cycle. Control is at multiple levels and is mediated by the integration of regulatory signals in response to cell cycle progression and the onset of differentiation. The H4 gene promoter is organized into a series of independent and overlapping regulatory elements which exhibit selective, phosphorylation-dependent interactions with multiple transactivation factors. The three-dimensional organization of the promoter and, in particular, its chromatin structure, nucleosome organization, and interactions with the nuclear matrix may contribute to interrelationships of activities at multiple promoter elements. Molecular mechanisms are discussed that may participate in the coordinate expression of S-phase-specific core and H1 histone genes, together with other genes functionally coupled with DNA replication.     

鼻咽癌细胞ClC-3在细胞周期中的表达

用免疫荧光、激光共聚焦显微镜图像分析及膜片钳等技术研究了鼻咽癌上皮CNE-2Z细胞容积激活性氯通道候选基因C1C-3的表达及其在细胞周期中与容积激活性氯电流及细胞容积调节性回缩(regulatoryvolumedecrease,RVD)的关系.结果显示,CNE-2Z细胞表达ClC-3.ClC-3蛋白主要位于细胞内而不是在细胞膜上,其表达水平及其在细胞中的分布呈细胞周期依赖性.G1期细胞的ClC-3表达水平较低而S期则较高,M期细胞的表达水平中等.在细胞周期中,ClC-3表达水平与细胞RVD能力及容积激活性氯电流水平呈反比.上述观察结果提示,ClC-3可能参与细胞周期的调节,但CNE-2Z细胞中的ClC-3可能不是与RVD有关的氯通道.     

RNA干扰技术及其在细胞周期研究中的应用

RNA干扰(RNA interference,RNA i)是由双链RNA(doub le-stranded RNA,dsRNA)引发的转录后基因沉默(posttran-scridptional gene silenc ing,PTGS)。dsRNA经D icer酶降解成21-23nt的siRNA,并以其为模板,特定位点、特定间隔降解与之序列相应的mRNA。随着RNA i机制的深入研究与广泛应用,目前该技术已经普遍应用于细胞周期研究中,在阐明各种调控机制的同时也为基因治疗提供了新靶点。     

Graded requirement for the spliceosome in cell cycle progression

Genome stability is ensured by multiple surveillance mechanisms that monitor the duplication, segregation, and integrity of the genome throughout the cell cycle. Depletion of components of the spliceosome, a macromolecular machine essential for mRNA maturation and gene expression, has been associated with increased DNA damage and cell cycle defects. However, the specific role for the spliceosome in these processes has remained elusive, as different cell cycle defects have been reported depending on the specific spliceosome subunit depleted. Through a detailed cell cycle analysis after spliceosome depletion, we demonstrate that the spliceosome is required for progression through multiple phases of the cell cycle. Strikingly, the specific cell cycle phenotype observed after spliceosome depletion correlates with the extent of depletion. Partial depletion of a core spliceosome component results in defects at later stages of the cell cycle (G2 and mitosis), whereas a more complete depletion of the same component elicits an early cell cycle arrest in G1. We propose a quantitative model in which different functional dosages of the spliceosome are required for different cell cycle transitions.