Cyclin D1与细胞周期调控

细胞周期是细胞生命活动中一个最重要的过程,其关键是G1 期的启动.细胞周期蛋白(Cyclin)、细胞周期蛋白依赖性激酶(CDKs)和CDK抑制因子(CKIs)是参与钿胞周期调控的主要因子.Cyclin D1是调控细胞周期G1期的关键蛋白,是一个比其他Cyclins更加敏感的指标,对细胞周期调控至关重要.综述Cyclin D1的结构和功能及其在肿瘤组织中的表达特征,初步分析Cyclin D在昆虫细胞周期调控的研究.     

细胞周期检控点

细胞周期是高度有组织的时序调控过程,受到DNA损伤检控点、DNA复制检控点和纺锤体检控点等细胞周期检控点的精确调控。细胞周期检控点的作用主要是调节细胞周期的时序转换,以确保DNA复制、染色体分离等细胞重要生命活动的高度精确性,并对DNA损伤、DNA复制受阻、纺锤体组装和染色体分离异常等细胞损伤及时做出反应,以防止突变和遗传不稳定的发生。细胞周期检控点的功能缺陷,将导致细胞基因组的不稳定,与细胞癌变密切相关。因此细胞周期检控点对于维持细胞遗传信息的稳定性和完整性以及防止细胞癌变和遗传疾病的发生起着至关重要的作用。     

细胞周期调控的一个重要元素-CDC48

细胞周期调控研究已成为当前生物学领域的一大热门课题,对哺乳动物和酵母细胞周期调控的研究已经非常深入且日臻成熟;植物细胞周期调控研究起步相对较晚但近些年来在该领域也取得了很大的进展。CDC48是真核生物中普遍存在的一个重要的细胞周期调节基因,其蛋白产物CDC48也是研究较为成熟的一个周期蛋白,国外生物学者对该基因已经开展多年研究,而国内尚未见任何报道。主要论述近几年来有关真核生物酵母、哺乳动物和植物CDC48的研究现状及发展趋势。     

细胞周期的调控及在核移植研究中的应用

细胞周期是生命活动中一个最重要的过程.以cyclin、CDK、CKI等细胞周期调控蛋白的相互作用推动着细胞周期时相的进展和时相之间的转变.这一过程受到严密的调控机制所监控.在核移植的研究中,对细胞周期进行调控,使细胞阻滞于某一特定时期有非常重要的意义.     

14-3-3蛋白在细胞周期调节中的作用

14-3-3是一个在真核细胞中广泛表达、功能复杂的蛋白家族,主要通过磷酸化依赖的方式与靶蛋白结合,从而发挥其调控作用。细胞周期的调节对维持基因组的稳定性至关重要。近年来的研究发现,14-3—3蛋白可以和越来越多的细胞周期调节蛋白相互作用,调节G2／M期和G1／S期转换,从而对细胞周期起调控作用。简要综述了14—3—3蛋白在细胞周期调节中的作用。     

敲除LSD1基因对人慢性髓系白血病K562细胞周期的影响

为了探讨敲除LSD1基因后抑制人慢性髓系白血病 K562细胞增殖的原因,使用前期CRISPR/Cas9技术构建的人慢性髓系白血病 K562 LSD1基因敲除株,通过细胞凋亡Annexin V/PI（碘化丙啶）双染色、细胞PI染色以及流式细胞术技术,探究敲除LSD1基因后,K562细胞的凋亡水平是否改变,细胞周期是否受到影响。结果表明敲除LSD1基因后K562细胞被阻滞在G0/G1期,进入DNA复制期的细胞变少,因此导致细胞增殖速度减慢;通过细胞凋亡Annexin V/PI双染色并分析早期以及晚期凋亡细胞总比例,显示敲除LSD1基因后,不影响K562细胞的凋亡。研究结果表明,敲除LSD1基因后人慢性髓系白血病 K562细胞的增殖受到抑制,这是由于K562细胞增殖周期发生了改变,进入DNA复制期和分裂期的细胞减少;而与细胞凋亡水平的变化无关。     

芽殖酵母细胞周期的检查点调控

芽殖酵母是研究真核细胞的模式菌。细胞周期检查点是确保细胞周期正常运行的一种调控机制。就芽殖酵母细胞周期检查点调控加以介绍。     

The Gcn2 Kinase as a Cell Cycle Regulator

Cell cycle progression through G1 phase is of particular importance because this is the phase where the decision to embark on another cell cycle is made. An aberrant G1/S transition often leads to cell cycle deregulation and cancer development. Therefore, there is a complex regulatory network to ensure timely entry into S phase, coordinating initiation of DNA replication with growth and stress signals. We have studied the response of fission yeast cells to ultraviolet (UV) irradiation in G1 phase and identified a Gcn2-dependent checkpoint that delays entry into S phase. UV irradiation activates Gcn2 which, in turn, phosphorylates the translation initiation factor eIF2α and depresses translation. Phosphorylation of eIF2α is a well-known response to various forms of stress, but whether or how this response is causing the specific cell cycle effects is not known. Here we discuss the relationships between Gcn2 activity, eIF2α phosphorylation, translation downregulation and cell cycle delay.     

Effects of Ultraviolet Irradiation on the Cell Cycle

Cultured mouse Cloudman melanoma cells, EMT6 breast carcinoma cells, and 3T3 fibroblasts all accumulated in the G2/M phase of the cell cycle when exposed to UVB radiation. The effects of UVB were maximal at 20–30 mJ/cm² for all three cell lines, and could be observed by flow cytometry as early as 12 hr post irradiation. It has been known since the mid-1970s that MSH receptor binding activity is highest on Cloudman melanoma cells when they are in the G2/M phase of their cycle. Here we show that either UVB irradiation or synchronization of Cloudman cells with colchicine results in a stimulation of MSH binding within 24 hr following treatment, a time when both treatments have resulted in accumulation of cells in the G2/M phase of the cycle. Furthermore, the two treatments performed together on the melanoma cells stimulated MSH receptor activity to the same extent as either treatment performed separately, suggesting that each may be influencing MSH receptor activity solely through a G2/M accumulation of cells. Together, these results raise the possibility that an increase in the number of cells in the G2 phase of the cell cycle is a generalized cellular response to injury, such as UV irradiation. However, in the case of pigment cells this response includes a mechanism for increasing melanin formation, i.e., increased MSH receptor activity. Should this be the case, similar G2/M “injury responses” of other cell types might be expected, consistent with their differentiated phenotypes.     

细胞周期后期促进因子DIG9对植物侧根发生的调控研究

在植物体内,细胞周期对于植物的萌发、生长、开花、结实等各个生长发育阶段具有重要作用。细胞周期正常运转需要依赖一些细胞周期蛋白,但是目前关于细胞周期蛋白调控根发育的分子机制还不清楚。通过筛选模式植物拟南芥的根发育异常突变体,分离鉴定了1个突变体dig9（drought inhibition of lateral root growth）,该突变体表现为主根短、侧根少、发育迟缓、顶端分生组织变小、叶片扭曲、无主茎等表型。通过图位克隆,成功定位并克隆了DIG9基因,该基因编码一个细胞周期蛋白,是有丝分裂后期促进复合体的一个亚基APC8 （anaphase-promoting complex）。通过亚细胞定位发现DIG9定位于细胞核;qRT-PCR检测发现DIG9基因在根中有较高的表达量,进一步通过启动子-GUS报告系统发现DIG9在根尖、侧根和顶端分生组织等细胞分裂旺盛区域表达。外施IAA能恢复dig9突变体的侧根表型但不能恢复根短表型。dig9突变体对干旱及盐胁迫反应不敏感。研究结果表明DIG9基因可能通过影响IAA的产生来调控植物的侧根发育。     

1950 MHz射频电磁场对SRA01/04细胞周期和凋亡的影响

目的：研究显示射频电磁场与白内障的发生关系密切,为了评价晶状体上皮细胞在射频电磁场诱导的白内障发生中的作 用,本实验探讨了1950 MHz射频电磁场暴露对人眼晶状体上皮细胞株（SRA01/04）细胞周期与凋亡的影响。方法：将处于对数生 长期的SRA01/04 细胞暴露或假暴露于频率为1950 MHz,比吸收率（SAR）为2.79 W/kg 的射频电磁场中,每天暴露1 h,每周暴露 5 天,连续暴露4 周。暴露结束后立即收集细胞,显微镜下观察细胞形态变化,噻唑蓝（MTT）法检测细胞存活力,流式细胞仪 （FCM）检测细胞周期与凋亡。结果：与假辐照组相比,暴露组细胞形态未见明显变化;细胞存活力、细胞周期分布及细胞凋亡率亦 无显著改变（P>0.05）。结论：1950 MHz射频电磁场暴露4 周对SRA01/04 细胞的形态、活力、周期以及凋亡均无明显影响,提示在 本实验条件下1950 MHz 射频电磁场不会诱发白内障的发生。     

氯化高铁血红素诱导K562细胞红系分化对其细胞周期的影响

细胞周期的测量是细胞增殖动力学的研究基础。通过添加30μmol·L-1氯化高铁血红素(Hemin)诱导人慢性髓系白血病K562细胞红系分化,利用5-溴脱氧尿嘧啶核苷(BrdU)与7-AAD双染的方法检测Hemin诱导的K562红系分化细胞对细胞周期各期比例的影响,未诱导的K562细胞周期各期比例作为对照,检测发现Hemin诱导的K562红系分化细胞对其细胞周期相对值无明显影响。应用BrdU间隔染色结合流式细胞术的方法,通过分析BrdU间隔染色后BrdU阳性细胞群的动态变化规律,从而推算出K562红系分化细胞的倍增时间及细胞周期各期时长。根据测量结果发现,未诱导的K562细胞总倍增时间约为20 h,与通过生长曲线公式法计算倍增时间的结果相符,Hemin诱导的K562细胞的细胞周期倍增时长约为23 h。Hemin诱导的K562红系分化细胞较未诱导的K562细胞倍增时间与各期时长无明显差异。因此,Hemin诱导K562细胞红系分化对其细胞周期绝对值及相对值均无明显影响。     

三元基序家族蛋白15敲低诱导肝癌细胞周期阻滞

三元基序家族蛋白15 (tripartite motif-containing protein 15,TRIM15)是TRIM家族成员,该家族是一类具有E3泛素连接酶活性的蛋白质.TRIM15在肿瘤中的功能鲜有报导.本研究意在阐释TRIM15在肝细胞癌(hepatocellular carcinoma,HCC)中的作用...     

细胞周期与细胞凋亡

从海洋生物胚胎细胞到哺乳动物的细胞周期,主要是在其细胞周期基因产物周期素及Ｐ３４的调控下启动,运行和脱出周期的;某些原癌基因或抑癌基因的产物如ｐ５３,ｐＲＢ也直接调控着细胞周期。     

Synchronization of Caulobacter Crescentus for Investigation of the Bacterial Cell Cycle

The cell cycle is important for growth, genome replication, and development in all cells. In bacteria, studies of the cell cycle have focused largely on unsynchronized cells making it difficult to order the temporal events required for cell cycle progression, genome replication, and division. Caulobacter crescentus provides an excellent model system for the bacterial cell cycle whereby cells can be rapidly synchronized in a G0 state by density centrifugation. Cell cycle synchronization experiments have been used to establish the molecular events governing chromosome replication and segregation, to map a genetic regulatory network controlling cell cycle progression, and to identify the establishment of polar signaling complexes required for asymmetric cell division. Here we provide a detailed protocol for the rapid synchronization of Caulobacter NA1000 cells. Synchronization can be performed in a large-scale format for gene expression profiling and western blot assays, as well as a small-scale format for microscopy or FACS assays. The rapid synchronizability and high cell yields of Caulobacter make this organism a powerful model system for studies of the bacterial cell cycle.     

Improved Flow Cytometric Analysis of the Budding Yeast Cell Cycle

The budding yeast, Saccharomyces cerevisiae has been a remarkably useful model system for the study of eukaryotic cell cycle regulation. Flow cytometric analysis of DNA content in budding yeast has become a standard tool for the analysis of cell cycle progression. However, popular protocols utilizing the DNA binding dye, propidium iodide, suffer from a number of drawbacks that confound accurate analysis by flow cytometry. Here we show the utility of the DNA binding dye, SYTOX Green, in the cell cycle analysis of yeast. Samples analyzed using SYTOX Green exhibited better coefficients of variation, improved linearity between DNA content and fluorescence, and decreased peak drift associated with changes in dye concentration, growth conditions or cell size.

Key Words:

Flow cytometry, Cell cycle, Saccharomyces cerevisiae, SYTOX Green, Propidium iodide     

细胞周期分子机制的成功探索——2001年诺贝尔生理及医学奖部分工作介绍

细胞周期是指连续分裂的细胞从一次有丝分裂结束到下一次有丝分裂完成所经历的整个序贯过程.在这一过程中,细胞的遗传物质(DNA)经过复制平均分配到两个子细胞中.细胞周期中每一事件都是有规律、精确地发生,并且在时间与空间上受到严格调控.细胞周期中最关键的三类调控因子是：cdc基因、周期蛋白依赖性激酶(CDKs)及细胞周期蛋白(cyclin).这些调控因子的发现对肿瘤学及发育生物学的发展都有重要的理论和实践意义.     

Cell cycle–related metabolism and mitochondrial dynamics in a replication-competent pancreatic beta-cell line

Cell replication is a fundamental attribute of growth and repair in multicellular organisms. Pancreatic beta-cells in adults rarely enter cell cycle, hindering the capacity for regeneration in diabetes. Efforts to drive beta-cells into cell cycle have so far largely focused on regulatory molecules such as cyclins and cyclin-dependent kinases (CDKs). Investigations in cancer biology have uncovered that adaptive changes in metabolism, the mitochondrial network, and cellular Ca²⁺ are critical for permitting cells to progress through the cell cycle. Here, we investigated these parameters in the replication-competent beta-cell line INS 832/13. Cell cycle synchronization of this line permitted evaluation of cell metabolism, mitochondrial network, and cellular Ca²⁺ compartmentalization at key cell cycle stages. The mitochondrial network is interconnected and filamentous at G1/S but fragments during the S and G2/M phases, presumably to permit sorting to daughter cells. Pyruvate anaplerosis peaks at G1/S, consistent with generation of biomass for daughter cells, whereas mitochondrial Ca²⁺ and respiration increase during S and G2/M, consistent with increased energy requirements for DNA and lipid synthesis. This synchronization approach may be of value to investigators performing live cell imaging of Ca²⁺ or mitochondrial dynamics commonly undertaken in INS cell lines because without synchrony widely disparate data from cell to cell would be expected depending on position within cell cycle. Our findings also offer insight into why replicating beta-cells are relatively nonfunctional secreting insulin in response to glucose. They also provide guidance on metabolic requirements of beta-cells for the transition through the cell cycle that may complement the efforts currently restricted to manipulating cell cycle to drive beta-cells through cell cycle.     

Cell Sorting of Neural Stem and Progenitor Cells from the Adult Mouse Subventricular Zone and Live-imaging of their Cell Cycle Dynamics

Neural stem cells (NSCs) in the subventricular zone of the lateral ventricles (SVZ) sustain olfactory neurogenesis throughout life in the mammalian brain. They successively generate transit amplifying cells (TACs) and neuroblasts that differentiate into neurons once they integrate the olfactory bulbs. Emerging fluorescent activated cell sorting (FACS) techniques have allowed the isolation of NSCs as well as their progeny and have started to shed light on gene regulatory networks in adult neurogenic niches. We report here a cell sorting technique that allows to follow and distinguish the cell cycle dynamics of the above-mentioned cell populations from the adult SVZ with a LeX/EGFR/CD24 triple staining. Isolated cells are then plated as adherent cells to explore in details their cell cycle progression by time-lapse video microscopy. To this end, we use transgenic Fluorescence Ubiquitination Cell Cycle Indicator (FUCCI) mice in which cells are red-fluorescent during G₁ phase due to a G₁ specific red-Cdt1 reporter. This method has recently revealed that proliferating NSCs progressively lengthen their G₁ phase during aging, leading to neurogenesis impairment. This method is easily transposable to other systems and could be of great interest for the study of the cell cycle dynamics of brain cells in the context of brain pathologies.     

一种基于基因表达模型识别酵母细胞周期条件特异调控子网的方法

由高通量微阵列技术产生的数据集可以用于解释生物系统基因调控的未知机制.生物过程是动态的,所以很有必要关注某些条件下特异的基因调控子网络.细胞周期是一个基本的细胞过程,识别酵母的细胞周期特异调控子网是理解细胞周期过程的基础,并且有助于揭示其他细胞条件的基因调控机理.使用一个基因表达微分方程模型(GEDEM),从静态网络中识别了动态的细胞周期相关调控关系.与已经报道的细胞周期相关调控相互作用相比,该方法识别了更多的真实存在的条件特异调控关系,取得了比当前的方法更好的性能.在大数据集上,GEDEM 识别了具有高敏感性和特异性的调控子网.组合调控的深入分析显示,条件特异调控子网的转录因子之间的相关性呈现出比静态网络中转录因子相关性更强,这说明条件特异网络比静态网络更加接近真实情况.另外,GEDEM 方法还识别更多潜在的共调控转录因子.