灰葡萄孢菌AUR1基因内含子对肌醇磷脂酰神经酰胺合成酶表达的影响及致病性

【目的】AUR1编码的肌醇磷脂酰神经酰胺(IPC)合成酶是真菌鞘脂代谢的关键酶,在转录水平和翻译水平研究AUR1内含子对其基因表达的影响,以及AUR1内含子对相关致病因子的影响,为内含子调控基因表达的分子机制提供理论依据。【方法】实时定量PCR测定野生型灰葡萄孢菌(BcAUR1)和AUR1缺失115 bp内含子突变体(BcAUR1a)的mRNA表达量,高效液相层析测定IPC合成酶活性,分别采用辣根过氧化物酶法、邻苯三酚自氧化法、愈创木酚法和紫外分光光度法测定单位菌体的H2O2含量、超氧化物歧化酶(SOD)、过氧化物酶(POD)和过氧化氢酶(CAT)的酶活力。【结果】突变体BcAUR1a的IPC合成酶基因cDNA测序结果表明,IPC合成酶无氨基酸突变。实时定量PCR和高效液相层析的结果表明BcAUR1a的AUR1基因mRNA表达量和IPC合成酶活力比野生型BcAUR1分别增加了50.2%和14.16%。短梗霉素A(AbA)显著刺激BcAUR1 H2O2、SOD、POD和CAT的分泌,但对BcAUR1a的这几种物质的分泌无显著影响。【结论】突变体BcAUR1a的AUR1基因在转录和翻译水平上表达上调,AbA显著增强野生型灰葡萄孢菌致病力,但对突变体影响较小。突变体产生了对AbA的抗性,推测AUR1基因内含子在AUR1基因表达调控中起转录抑制子的作用。     

玉米△12脂肪酸脱氢酶基因（FAD2）在酿酒酵母中的表达

玉米△12脂肪酸脱氢酶是催化油酸形成亚油酸的关键酶。将其编码基因FAD2（GenBank登陆号：DQ496227）克隆到酿酒酵母表达载体pYES2．0中,构建成重组质粒pYE／FAD2,转化到酿酒酵母进行诱导表达,同时以pYES2．0转化子为对照。气相色谱（Gc）分析表明,重组转化子亚油酸的含量占酵母总脂肪酸的1．54％,而对照未检测到亚油酸。表明FAD2基因具有编码△12脂肪酸脱氢酶的功能。为探索转译起始密码子周边序列的改变对FAD2基因表达产生的影响,将该基因的起始密码子上游序列进行修改,构建重组表达载体pYE／FAD2—1,转化酿酒酵母进行表达。GC分析表明,pYE／FAD2—1转化子的亚油酸含量占总脂肪酸含量的8．81％,是对照pYE／FAD2转化子的近5倍。     

LCB1基因表达对酵母神经酰胺合成的影响

酿酒酵母(Saccharomyces cerevisiae)LCB1（Long chain base）基因被克隆到酵母诱导表达载体pYES2中,并转入到FY2中,用半乳糖诱导表达。与对照相比,质粒所含LCB1基因的表达,使酵母细胞干重略有下降,而神经酰胺的含量提高为对照的1.9倍。     

花生油酸脱氢酶基因在酿酒酵母中的高效表达

将克隆的油酸脱氢酶基因(AF900663)亚克隆到大肠杆菌和酿酒酵母的穿梭表达载体pYES6/CT,从大肠杆菌中筛选到含有目的基因的重组质粒pYES/HO-A,用醋酸锂方法转化到酿酒酵母缺陷型菌株INVScI中,经半乳糖诱导后,收集菌体,用气相色谱质谱(GC-MS)仪分析转化酵母的脂肪酸色谱的结果表明,HO-A所编码的酶具有油酸脱氢酶活性,能将酵母内源性油酸转化为亚油酸,油酸脱氢酶的表达量为15.6%,高于已有的报道。     

卷枝毛霉△^6—脂肪酸脱氢酶基因的克隆及在酿酒酵母中的高效表达

为获得产高γ—亚麻酸的酿酒酵母工程菌株,应用RT—PCR技术,从卷枝毛霉中扩增出△^6—脂肪酸脱氢酶基因,亚克隆到大肠杆菌和酿酒酵母的穿梭表达载体pYES2．0,在大肠杆菌中筛选到含有目的基因的重组质粒pYES412,用醋酸锂方法转化到酿酒酵母缺陷型菌株INVScl中,在SC—ura合成培养基中筛选到转化酵母,在合适的培养基及培养条件下,加入外源底物亚油酸,经半乳糖诱导后,收集菌体,通过气相色谱对转化酵母进行脂肪酸色谱分析,结果表明：γ—亚麻酸占总脂肪的50．07％。迄今为止,这是国内外△^6—脂肪酸脱氢酶基因在酿酒酵母表达量最高的报道。     

卷枝毛霉Δ6-脂肪酸脱氢酶基因的克隆及在酿酒酵母中的高效表达

为获得产高γ 亚麻酸的酿酒酵母工程菌株,应用RT PCR技术,从卷枝毛霉中扩增出△6 脂肪酸脱氢酶 基因,亚克隆到大肠杆菌和酿酒酵母的穿梭表达载体pYES2.0,在大肠杆菌中筛选到含有目的基因的重组质粒 pYES412,用醋酸锂方法转化到酿酒酵母缺陷型菌株INVScI中,在SC ura合成培养基中筛选到转化酵母,在合适 的培养基及培养条件下,加入外源底物亚油酸,经半乳糖诱导后,收集菌体,通过气相色谱对转化酵母进行脂肪酸 色谱分析,结果表明:γ 亚麻酸占总脂肪的50.07%。迄今为止,这是国内外△6 脂肪酸脱氢酶基因在酿酒酵母表 达量最高的报道。     

海洋破囊壶菌△4-脂肪酸脱饱和酶基因在酿酒母中的表达

以质粒pGEM-TFAD4为模板,扩增获得1.6 kb的△4-脂肪酸脱饱和酶基因(FAD4).将FAD4酶切后连接到Hond Ⅲ/XbaⅠ处理过的pYES2.0载体,构建重组表达质粒pYFAD4.转化酿酒酵母缺陷型菌INVScl,通过SC-U选择性培养基筛选阳性克隆子.添加外源脂肪酸C22:5底物,半乳糖诱导表达.气相色谱分析表明阳性克隆子总脂肪酸中出现了二十二碳六烯酸C22:6(占酵母总脂肪含量的41.13%),△4-脂肪酸脱饱和酶基因在酿酒酵母中得到了表达.     

高山被孢霉ATCC16266△^6—脂肪酸脱氢酶基因在酿酒酵母中的表达

△^6－脂肪酸脱氢酶基因是形成γ－亚麻酸的关键酶。从含有高山被孢霉△^6－脂肪酸脱氢酶基因的重组质粒pT-MACL6中,酶切出1.4kb的目的片段,亚克隆到大肠杆菌和酿酒酵母的穿梭表达载体pYES2.0,在大肠杆菌中筛选到含有目的基因的重组质粒pYMAD6,用醋酸昔方法转化到酿洒酵母的缺陷型菌株INCSc1中,在SC－Ura合成培养基中,选择得到酿酒酵母工程株YMAD6。在合适的培养基及培养条件下,加入外源底物亚油酸,经半乳糖诱导后,收集菌体。通过GC－MS对酵母工程株进行脂肪酸色谱分析,结果表明,产生了31.6％的γ－亚麻酸,边是迄今为止,国内外△^6－脂肪酸脱氢酶基因在酿酒酵母中表达量最高的报道。     

一种新型酿酒酵母附加型分泌表达载体的构建

用化学法合成克鲁维酵母的菊粉酶基因的信号肽序列(INU),将其嵌入酵母附加型表达质粒pYES2,得到一套新型的分泌表达载体pYES2I,pYES2Ⅱ,pYES2Ⅲ。然后用PCR方法分别扩增大肠杆菌的天冬酰胺酶基因(ASN)和短芽孢杆菌α乙酰乳酸脱羧酶(ALDC)基因,连接到INU下游,得到重组质粒pASN和pALDC。分别将这两个重组质粒转化酿酒酵母菌株INVScⅠ中表达,胞内和胞外的酶活分析表明ASN和ALDC基因都能在酿酒酵母中分泌表达,表明菊粉酶信号肽序列能很好地将酿酒酵母中的重组蛋白分泌到胞外。稳定性分析表明,重组酵母菌株在没有选择压力的条件下连续接种培养100h,未发现重组质粒的不稳定性。     

CUP1为筛选标记的酿酒酵母整合型多基因表达载体的构建

为了赋予工业酿酒酵母对淀粉和纤维素的降解活性,提高酿酒酵母对粗木薯粉进行酒精发酵时的酒精产率;另一方面,为了解决工业酿酒酵母不适于使用营养缺陷型筛选标记对转化子进行筛选的问题,以及避免引入抗药性标记基因带来的安全性问题,构建了以抗铜蛋白基因CUP1为筛选标记的酿酒酵母整合型多基因表达载体.以载体pYES2-PMF-rDNA为基础,以新的筛选标记基因CUP1替换原有的尿嘧啶Ura-基因,得到载体pYES2M.再顺序插入葡聚糖内切酶基因eg3、葡萄糖淀糖酶基因gal和β-葡萄糖苷酶基因bgl1,构建得到以CUP1为筛选标记的酵母整合型三价表达载体pYES2M-eg3-ga1 -bgl1,其中每个基因都具有独立而完整的表达盒,包括启动子、信号肽和终止子,从而实现多基因单表达载体一次转化.     

High-level expression of full-length antibodies using trans-complementing expression vectors

Recombinant antibodies are increasingly used as therapeutics for a wide variety of diseases. Generation of cell lines expressing high levels of recombinant antibody typically requires labor-intensive cloning and screening steps. We describe a mammalian expression system for the high-level production of full-length antibody molecules. It has been shown that the dihydrofolate reductase (DHFR) selectable marker can be divided into two fragments that, with the aid of a leucine zipper, can re-associate to form an active molecule. Using bicistronic vectors, we linked the expression of each antibody chain to the expression of a DHFR fragment. Survival in selective media requires expression of both DHFR fragments that, by virtue of these vectors, also selects for the expression of both antibody chains. Initial pools produced 5 microg of Ab/10(6) cells/d (qP = microg/10(6) cells/d). Expression of each antibody chain in conjunction with a portion of DHFR also leads to concurrent amplification of both antibody chains in the presence of methotrexate, a DHFR inhibitor, and results in a two- to fivefold increase in antibody production with basal qPs ranging from 10-25 ug/10(6) cells/d. Shake-flask cultures of amplified pools produced up to 600 mg/L of antibody in 7 days. This system allows for rapid generation of antibodies without cloning and greatly simplifies selection of cell lines for the production of potential antibody therapeutics.     

Normalization and quantification of differential expression in gene expression microarrays

Array-based gene expression studies frequently serve to identify genes that are expressed differently under two or more conditions. The actual analysis of the data, however, may be hampered by a number of technical and statistical problems. Possible remedies on the level of computational analysis lie in appropriate preprocessing steps, proper normalization of the data and application of statistical testing procedures in the derivation of differentially expressed genes. This review summarizes methods that are available for these purposes and provides a brief overview of the available software tools.     

高效可溶性重组蛋白表达载体的构建

本研究构建了两种高效表达可溶性重组蛋白的原核表达载体。一种载体由HisSUMO序列与pET30a(+)载体连接而成(命名为HisSUMO Express),表达的融合蛋白用Ni-NTA纯化,用SUMO蛋白酶I切割后可获得不留任何残基的重组蛋白。SUMO-蛋白酶I价格较贵,为减少表达蛋白的成本,第二种载体即在His-SUMO和目的序列之间加入羟胺切割位点(命名为HisSUMO Economic)。在HisSUMO Economic中表达的融合蛋白用Ni-NTA纯化,羟胺液切割后可获得仅留一个甘氨酸残基的重组蛋白。以在常规表达载体中难以表达的鼠源成纤维细胞生长因子-21(mFGF-21)为例,经葡萄糖消耗实验检测其活性,验证两种表达载体的效果。结果表明mFGF-21在两种载体中均获得了高效表达,融合蛋白占菌体总蛋白的40%以上,Ni-NTA纯化后的融合蛋白分别利用羟胺切割液和SUMO蛋白酶I切割,纯化的mFGF-21成熟蛋白回收量约为54mg/L,回收率约为6%。经两种载体表达后的mFGF-21蛋白均具有生物学活性,可促进脂肪细胞消耗葡萄糖,为进一步研究提供了基础。     

Heterologous expression of lipoprotein-associated phospholipase A2 in different expression systems

Lipoprotein-associated phospholipase A(2) (Lp-PLA(2)) is a key enzyme involved in atherosclerosis, and has been considered as a new target for drug discovery. The major difficulty for high-throughput screening of Lp-PLA(2) inhibitors and for functional studies was their fast and efficient production. Purification of native Lp-PLA(2) from human plasma was complicated and produced a very low yield. We herein examined the feasibility of expressing and purifying recombinant Lp-PLA(2) in different heterologous expression systems. The fusion Lp-PLA(2) was expressed at high levels and exhibited strong enzyme activity in insect cell-baculovirus expression system. The functional enzyme could also be produced in Pichia pastoris. The inclusion of a Kozak sequence increased greatly the expression level of recombinant Lp-PLA(2) in insect cells, but had little effect on the expression of recombinant Lp-PLA(2) in P. pastoris and Escherichia coli. P. pastoris-produced Lp-PLA(2) could be purified rapidly and conveniently through a one-step procedure, while baculovirus-produced Lp-PLA(2) could be efficiently purified through a two-step procedure. This ability to readily produce recombinant Lp-PLA(2) could provide a screening model for Lp-PLA(2) inhibitors and will facilitate further studies on this enzyme.     

Tumor-specific gene expression patterns with gene expression profiles

Gene expression profiles of 14 common tumors and their counterpart normal tissues were analyzed with machine learning methods to address the problem of selection of tumor-specific genes and analysis of their differential expressions in tumor tissues. First, a variation of the Relief algorithm, “RFE_Relief algorithm” was proposed to learn the relations between genes and tissue types. Then, a support vector machine was employed to find the gene subset with the best classification performance for distinguishing cancerous tissues and their counterparts. After tissue-specific genes were removed, cross validation experiments were employed to demonstrate the common deregulated expressions of the selected gene in tumor tissues. The results indicate the existence of a specific expression fingerprint of these genes that is shared in different tumor tissues, and the hallmarks of the expression patterns of these genes in cancerous tissues are summarized at the end of this paper.     

Tumor-specific gene expression patterns with gene expression profiles

Gene expression profiles of 14 common tumors and their counterpart normal tissues were analyzed with machine learning methods to address the problem of selection of tumor-specific genes and analysis of their differential expressions in tumor tissues. First, a variation of the Relief algorithm, "RFE_Relief algorithm" was proposed to learn the relations between genes and tissue types. Then, a support vector machine was employed to find the gene subset with the best classification performance for distinguishing cancerous tissues and their counterparts. After tissue-specific genes were removed, cross validation experiments were employed to demonstrate the common deregulated expressions of the selected gene in tumor tissues. The results indicate the existence of a specific expression fingerprint of these genes that is shared in different tumor tissues, and the hallmarks of the expression patterns of these genes in cancerous tissues are summarized at the end of this paper.