细胞因子对血管平滑肌细胞MMP-2基因表达的诱导及其作用机制研究

为了探讨血管平滑肌细胞 ( VSMC)基质金属蛋白酶 - 2 ( MMP- 2 )基因的表达调控机制 ,利用Northern印迹杂交和 MMP- 2活性酶图分析检查 b FGF、TNF- α和 IL- 1 β对 VSMC MMP- 2基因表达的影响 ,应用电泳迁移率改变实验 ( EMSA)和 CAT分析对其作用机制进行研究 .结果证实 ,3种细胞因子均能显著诱导 MMP- 2基因表达 ,其作用强度依次为 b FGF>TNF-α>IL - 1β.将 MMP-2基因 5′侧翼 - 61 9～ 1 9bp调控序列克隆进携带报告基因的重组质粒 p SV0 - CAT后 ,经转染VSMC及 CAT分析显示 ,在上述 3种细胞因子的作用下 ,该调控序列可激活 cat基因表达 ,三者促进 cat表达的活性与其诱导 VSMC表达 MMP- 2的结果相一致 ;EMSA结果显示 ,被 b FGF和TNF- α刺激的 VSMC中产生与该基因调控区序列特异结合的转录调控因子 .提示细胞因子除可激活 VSMC细胞周期调节基因表达外 ,还可通过诱导 MMP- 2表达而发挥其对细胞外基质代谢的调节作用及参与 VSMC迁移的启动过程 ;细胞因子对 VSMC MMP- 2基因表达的诱导作用是通过促进转录调控因子的合成或活化而实现的 .     

血管再狭窄发生过程中SMα肌动蛋白和SMemb基因表达的变化及其影响机制研究

为研究血管再狭窄发生过程中 VSMC表型转化的规律及机制 ,采用大鼠主动脉内皮剥脱后血管再狭窄动物模型和体外培养的 VSMC,通过 Northern印迹分析及 3H- Td R参入实验 ,动态观察血管再狭窄发生过程中 VSMC表型标志基因α肌动蛋白和 SMemb的表达变化及 b FGF、TNF-α和 IL - 1β对两种基因表达的影响及其与 VSMC增殖之间的关系 .结果表明 ,血管内皮剥脱后 3d,分化型标志基因α肌动蛋白表达活性开始降低 ,去分化型标志基因 SMemb表达明显上调 ,至第 7d,前者的下调与后者的上调均达到最大 ,此后 ,两者的表达活性趋于向正常恢复 .b FGF可明显下调 α肌动蛋白的表达和诱导 SMemb表达 ,对分化型和去分化型 VSMC均有促增殖作用 ,但对后者的作用大于前者 ,TNF- α和 IL- 1 β对 VSMC的促转化及促增殖作用较弱 .提示 b FGF等生长因子介导血管内皮损伤所诱发的 VSMC表型转化并促进其增殖 ,内皮损伤 7d后 ,在发生表型转化并进行增殖的 VSMC中 ,一部分细胞再分化 ,一部分细胞仍处于去分化状态并继续进行增殖并持续较长时间 .     

粘着斑相关非激酶对骨桥蛋白促血管平滑肌细胞迁移的抑制作用及分子机制

为阐明整合素 β3 粘着斑激酶 (FAK)信号途径在骨桥蛋白 (OPN)诱导血管平滑肌细胞(VSMC)迁移中的作用 ,用FAK磷酸化特异性抑制剂粘着斑相关非激酶 (FRNK)选择性阻断FAK磷酸化 ,观察对OPN 整合素 β3 相互作用所激活的FAK信号通路的影响及其与OPN诱导VSMC迁移之间的关系 .外源性FRNK在VSMC中的过表达可显著抑制OPN诱导的VSMC迁移 ,使跨膜迁移细胞数下降 5 0 5 8% (P <0 0 5 ) .OPN刺激不但明显诱导FAK表达 ,而且还促进其磷酸化 .外源性FRNK对OPN诱导的FAK磷酸化具有显著抑制作用 ,使磷酸化型FAK水平比相应对照细胞下降5 9 1% ,但其对FAK表达不产生明显的影响 .FRNK还具有下调整合素 β3 表达的作用 ,免疫荧光细胞化学分析结果显示 ,在转染FRNK的VSMC中 ,粘着斑蛋白的磷酸化水平降低 ,粘着斑数量明显减少 .结果提示 ,整合素 β3 FAK是介导VSMC迁移的重要信号途径 ,外源性FRNK通过下调 β3 表达、抑制FAK磷酸化和减少粘着斑蛋白磷酸化及粘着斑形成等机制 ,减弱OPN刺激信号的跨膜转导及沿胞内途径传递 ,发挥抑制OPN促VSMC迁移的效应 .     

Apelin-13促进血管平滑肌细胞增殖、迁移和血管新生内膜增生

研究apelin-13对血管平滑肌细胞（vascular smooth muscle cell, VSMC）增殖和迁移的影响及其作用机制.用免疫印迹分析检测apelin-13对VSMC增殖、迁移以及分化相关基因表达的影响,结果表明,apelin-13能以时间和浓度依赖的方式诱导VSMC增殖和迁移相关基因cyclin D1和MMP-2表达,促进细胞增殖和迁移;同时使VSMC分化标志基因SM22α和SM α-actin表达水平降低.而且,用鬼笔环肽对细胞骨架进行染色的结果显示,apelin-13可以促进VSMC从收缩表型向增殖表型转化.体内实验也表明,敲低apelin可抑制球囊损伤诱导的新生内膜形成,提示apelin-13在体内具有促进血管新生内膜形成的作用.总之,本文结果表明,apelin 13通过调节VSMC增殖、迁移以及分化基因表达,进而促进其从分化型向增殖型转化,并向内膜下迁移和增殖.     

FAK和ILK介导骨桥蛋白诱导的血管平滑肌细胞黏附和迁移

黏着斑激酶（FAK）和整合素偶联激酶（ILK）是整合素信号途径中的重要信号转导分子,为阐明两者在血管平滑肌细胞（VSMC）黏附和迁移中的作用,以骨桥蛋白（OPN）作为VSMC黏附和迁移的诱导剂,检测其对FAK和ILK磷酸化以及对两者之间结合的影响.在此基础上,用FAK磷酸化特异性抑制剂黏着斑相关非激酶（FRNK）或ILK反义RNA分别阻断FAK磷酸化或ILK表达,进一步探讨两者在VSMC黏附和迁移中所起的作用.结果显示,OPN诱导可促进FAK磷酸化,诱导10 min后FAK磷酸化水平升高到对照组的2.4倍;与此同时,ILK的磷酸化受到抑制,30 min降至对照细胞的44.6％.OPN诱导FAK磷酸化的同时使FAK与ILK的结合减少.外源性FRNK在VSMC中的过表达显著降低FAK的磷酸化水平,促进ILK磷酸化和FAK与ILK之间的结合,抑制VSMC的黏附和迁移.用ILK反义RNA抑制ILK表达使VSMC在OPN上的黏附增加1.8倍,迁移细胞数降低45.5％.结果提示,FAK和ILK介导OPN诱导的VSMC黏附和迁移过程,两者通过对同一刺激信号产生不同的磷酸化变化而对VSMC的黏附和迁移产生不同的影响.     

miR-181c-5p在颅内动脉瘤中通过靶向PTPN4调节血管平滑肌细胞的机制研究

摘要 目的：探讨miR-181c-5p在颅内动脉瘤血管平滑肌细胞（VSMC）表型调节中的生物学功能及其潜在的调控机制。方法：采用实时荧光定量聚合酶链式反应（RT-qPCR）检测miR-181c-5p mRNA在颅内动脉瘤（IA）患者血清中的表达水平。 采用药物细胞毒性实验（CCK8）、集落形成、transwell迁移和流式细胞仪检测过表达miR-181c-5p介导的VSMC细胞表型的变化。采用双荧光素酶报告基因检测miR-181c-5p的潜在靶标。结果：IA患者血清中的miR-181c-5p表达水平高于健康体检者（P<0.05）。miR-181c-5p的过表达显着抑制了VSMC增殖、克隆形成和迁移,同时刺激了细胞凋亡（P<0.05）。PTPN4被证实是miR-181c-5p的直接靶标,而miR-181c-5p的过表达导致PTPN4在VSMC中低表达。结论：miR-181c-5p / PTPN4介导的VSMC表型调节可能部分导致IA病变。     

血清饥饿可诱导人血管平滑肌细胞再分化

体外培养的分化型血管平滑肌细胞 (vascularsmoothmusclecells ,VSMC)以特异性标志基因表达、长梭形外观及对兴奋剂刺激产生收缩反应为其表型特征 .以血清饥饿法培养处于超汇合 (overconfluence)状态的人VSMC ,观察其分化型标志基因表达活性及其与细胞形态特征和收缩反应性之间的关系 ,探讨细胞生存环境对VSMC基因表达及表型的影响 .研究显示 ,生长至超汇合的VSMC由含血清培养转为血清饥饿后 ,收缩蛋白如SMα肌动蛋白 (SMα actin)、SM2 2α、h1 calponin、肌球蛋白重链 (MHC)SM1和SM2亚型的表达活性明显上调 ,证实血清饥饿诱导的收缩蛋白基因表达和血清应答因子 (serumresponsefactor ,SRF)与CArG顺式元件结合活性的增强有关 .同时 ,血清饥饿还可激活参与VSMC分化调节的转录调控因子SmLIM、Gax和分化相关蛋白HRG 1基因的转录 .随着血清饥饿培养时间的延长 ,VSMC逐渐形成多层、束状、成极性排列的形式 ,对兴奋剂刺激产生的收缩反应明显增强 .结果表明 ,超汇合状态的去分化型VSMC脱离血清刺激后 ,可以再分化成熟并重新获得收缩能力     

高血压相关基因hrg-1在血管平滑肌细胞再分化过程中的表达及功能

研究高血压相关基因hrg 1表达与血管平滑肌细胞 (VSMC)再分化的关系及其在细胞生物学行为调节方面的作用 .采用血清饥饿培养和全反式维甲酸诱导使处于增殖状态的去分化型VSMC再分化 ,观察细胞再分化过程中HRG 1表达变化 ,并探讨其功能 .在血清饥饿和维甲酸诱导VSMC再分化过程中 ,hrg 1基因表达显著上调 ,其表达活性在诱导 2 4h达高峰之后 ,一直维持在较高水平上 ,且其表达量和变化规律与细胞收缩蛋白SMα肌动蛋白和SM2 2α相类似 .免疫共沉淀和免疫双荧光染色结果证实 ,HRG 1抗体可与SMα肌动蛋白共沉淀 ,且两者在同一细胞共定位 .用HRG 1表达质粒转染去分化型VSMC可显著抑制其迁移能力 .结果提示 ,HRG 1在胞质中以与SMα肌动蛋白相互缔合的方式存在 ,其表达与VSMC分化有关 ,该蛋白通过参与细胞骨架构成而调节VSMC收缩与迁移     

骨桥蛋白通过NF-κB上调钙蛋白酶小亚基1促进肝癌细胞迁移

骨桥蛋白(osteopontin,OPN)参与调控多种信号途径激活转移相关基因,进而促进细胞迁移.钙蛋白酶小亚基1(calpain small subunit1,Capn4)与肿瘤转移密切相关,在许多肿瘤及其转移组织中高表达.为了探讨OPN促进肝癌细胞迁移的分子机制,应用报告基因检测、RT-PCR、免疫印迹及伤口愈合等方法检测了肝癌细胞中OPN对Capn4的调控作用及其对肝癌细胞迁移的影响.结果显示,在HepG2细胞中过表达OPN后,Capn4的启动子转录活性显著增强,同时mRNA及蛋白质表达水平也明显上调.在HepG2细胞中应用siRNA干扰OPN的表达可导致Capn4启动子转录活性受到明显抑制,同时mRNA及蛋白质表达水平也显著下调.应用核转录因子-κB(NF-κB)的抑制剂PDTC可抑制由过表达OPN导致的HepG2细胞中Capn4的上调.伤口愈合实验显示,OPN可以通过上调Capn4促进肝癌细胞迁移.因此,研究发现,OPN通过NF-κB上调Capn4的表达,进而促进肝癌细胞的迁移,这一发现对进一步阐明肝癌细胞迁移的分子机制具有重要意义.     

血管平滑肌细胞表型调节机制的研究进展

血管平滑肌细胞（VSMC）的增殖和迁移是动脉粥样硬化斑块形成、高血压和血管再狭窄的共同病理特征,而VSMC表型转化是VSMC增殖和迁移的基础,研究VSMC表型调节的分子机制,对上述疾病的防治具有重要意义。本文对VSMC表型转化的影响因素、信号转导途径和转录因子的研究进展作一综述。     

颌下腺导管细胞与胶原海绵细胞相容性的实验研究

为探讨胶原海绵对颌下腺 (submandibulargland ,SMG)导管细胞的细胞相容性 ,采用HE染色光镜观察及免疫组化观察SMG导管细胞接种于胶原海绵后 ,细胞的生长情况。光镜下可见接种后第 1d细胞数量较少 ,分散于胶原海绵支架中间 ,第 7d细胞数量明显增加 ,免疫组织化学染色抗IV型胶原抗体染色呈阳性 ,说明细胞与支架材料之间已经有细胞外基质产生。胶原海绵具有良好的细胞相容性 ,是一种理想的支架材料。与胶原海绵复合培养 ,颌下腺导管细胞仍可保持良好的增殖能力。     

Determination of Mammalian Cell Counts,Cell Size and Cell Health Using the Moxi Z Mini Automated Cell Counter

Particle and cell counting is used for a variety of applications including routine cell culture, hematological analysis, and industrial controls^1-5. A critical breakthrough in cell/particle counting technologies was the development of the Coulter technique by Wallace Coulter over 50 years ago. The technique involves the application of an electric field across a micron-sized aperture and hydrodynamically focusing single particles through the aperture. The resulting occlusion of the aperture by the particles yields a measurable change in electric impedance that can be directly and precisely correlated to cell size/volume. The recognition of the approach as the benchmark in cell/particle counting stems from the extraordinary precision and accuracy of its particle sizing and counts, particularly as compared to manual and imaging based technologies (accuracies on the order of 98% for Coulter counters versus 75-80% for manual and vision-based systems). This can be attributed to the fact that, unlike imaging-based approaches to cell counting, the Coulter Technique makes a true three-dimensional (3-D) measurement of cells/particles which dramatically reduces count interference from debris and clustering by calculating precise volumetric information about the cells/particles. Overall this provides a means for enumerating and sizing cells in a more accurate, less tedious, less time-consuming, and less subjective means than other counting techniques⁶.Despite the prominence of the Coulter technique in cell counting, its widespread use in routine biological studies has been prohibitive due to the cost and size of traditional instruments. Although a less expensive Coulter-based instrument has been produced, it has limitations as compared to its more expensive counterparts in the correction for "coincidence events" in which two or more cells pass through the aperture and are measured simultaneously. Another limitation with existing Coulter technologies is the lack of metrics on the overall health of cell samples. Consequently, additional techniques must often be used in conjunction with Coulter counting to assess cell viability. This extends experimental setup time and cost since the traditional methods of viability assessment require cell staining and/or use of expensive and cumbersome equipment such as a flow cytometer.The Moxi Z mini automated cell counter, described here, is an ultra-small benchtop instrument that combines the accuracy of the Coulter Principle with a thin-film sensor technology to enable precise sizing and counting of particles ranging from 3-25 microns, depending on the cell counting cassette used. The M type cassette can be used to count particles from with average diameters of 4 - 25 microns (dynamic range 2 - 34 microns), and the Type S cassette can be used to count particles with and average diameter of 3 - 20 microns (dynamic range 2 - 26 microns). Since the system uses a volumetric measurement method, the 4-25 microns corresponds to a cell volume range of 34 - 8,180 fL and the 3 - 20 microns corresponds to a cell volume range of 14 - 4200 fL, which is relevant when non-spherical particles are being measured. To perform mammalian cell counts using the Moxi Z, the cells to be counted are first diluted with ORFLO or similar diluent. A cell counting cassette is inserted into the instrument, and the sample is loaded into the port of the cassette. Thousands of cells are pulled, single-file through a "Cell Sensing Zone" (CSZ) in the thin-film membrane over 8-15 seconds. Following the run, the instrument uses proprietary curve-fitting in conjunction with a proprietary software algorithm to provide coincidence event correction along with an assessment of overall culture health by determining the ratio of the number of cells in the population of interest to the total number of particles. The total particle counts include shrunken and broken down dead cells, as well as other debris and contaminants. The results are presented in histogram format with an automatic curve fit, with gates that can be adjusted manually as needed.Ultimately, the Moxi Z enables counting with a precision and accuracy comparable to a Coulter Z2, the current gold standard, while providing additional culture health information. Furthermore it achieves these results in less time, with a smaller footprint, with significantly easier operation and maintenance, and at a fraction of the cost of comparable technologies.     

Determining Cell Number During Cell Culture using the Scepter Cell Counter

Counting cells is often a necessary but tedious step for in vitro cell culture. Consistent cell concentrations ensure experimental reproducibility and accuracy. Cell counts are important for monitoring cell health and proliferation rate, assessing immortalization or transformation, seeding cells for subsequent experiments, transfection or infection, and preparing for cell-based assays. It is important that cell counts be accurate, consistent, and fast, particularly for quantitative measurements of cellular responses.Despite this need for speed and accuracy in cell counting, 71% of 400 researchers surveyed¹ who count cells using a hemocytometer. While hemocytometry is inexpensive, it is laborious and subject to user bias and misuse, which results in inaccurate counts. Hemocytometers are made of special optical glass on which cell suspensions are loaded in specified volumes and counted under a microscope. Sources of errors in hemocytometry include: uneven cell distribution in the sample, too many or too few cells in the sample, subjective decisions as to whether a given cell falls within the defined counting area, contamination of the hemocytometer, user-to-user variation, and variation of hemocytometer filling rate².To alleviate the tedium associated with manual counting, 29% of researchers count cells using automated cell counting devices; these include vision-based counters, systems that detect cells using the Coulter principle, or flow cytometry¹. For most researchers, the main barrier to using an automated system is the price associated with these large benchtop instruments¹.The Scepter cell counter is an automated handheld device that offers the automation and accuracy of Coulter counting at a relatively low cost. The system employs the Coulter principle of impedance-based particle detection³ in a miniaturized format using a combination of analog and digital hardware for sensing, signal processing, data storage, and graphical display. The disposable tip is engineered with a microfabricated, cell- sensing zone that enables discrimination by cell size and cell volume at sub-micron and sub-picoliter resolution. Enhanced with precision liquid-handling channels and electronics, the Scepter cell counter reports cell population statistics graphically displayed as a histogram.     

Transformations of the Cell Center during Cell Differentiation

A question was posed as to how the multicomponent and polyfunctional organelle dynamically changes during metazoan ontogenesis. The centrosome structure is gradually formed and its functions are switched on during early embryogenesis, one of which is the cell center formation. During cell differentiation, the condition of the cell center and surrounding structures may be different: first, the cell center is quite distinct; second, the cell center is absent due to redistribution of the microtubule organizing centers; third, the cell center disappears due to reversible or irreversible inactivation of the centrosome and other centers of microtubule organization. The assembly of the Golgi complex does not depend directly to the cell center presence. In some cell types, the Golgi complex is topologically associated with the cell center, while in others it exists as individual dictyosomes despite the cell center presence. In some other cell types, the common Golgi complex is assembled without the cell center, but in the presence of microtubules that are formed by noncentrosome centers of microtubule organization. In still others, degradation of both the cell center and the common Golgi complex takes place in the case of centrosome inactivation.     

Cell Physician: Reading Cell Motion

Cell motility is an essential phenomenon in almost all living organisms. It is natural to think that behavioral or shape changes of a cell bear information about the underlying mechanisms that generate these changes. Reading cell motion, namely, understanding the underlying biophysical and mechanochemical processes, is of paramount importance. The mathematical model developed in this paper determines some physical features and material properties of the cells locally through analysis of live cell image sequences and uses this information to make further inferences about the molecular structures, dynamics, and processes within the cells, such as the actin network, microdomains, chemotaxis, adhesion, and retrograde flow. The generality of the principals used in formation of the model ensures its wide applicability to different phenomena at various levels. Based on the model outcomes, we hypothesize a novel biological model for collective biomechanical and molecular mechanism of cell motion.