植物基因组表达序列标签(EST)计划研究进展

植物表达序列标签(EST)计划是随机挑选cDNA克隆,并对其3′或5′端进行大规模一次性测序,将得到的150～500 bp长度的DNA片段与数据库中的序列进行比较,获得对基因组结构、组织、表达等认识的基因组研究策略.就近年来国际植物EST计划的实施情况、植物EST计划的研究范围、生物信息学在EST研究中的应用、EST数据库及查询、植物EST研究中遇到的问题等方面内容进行了综述.     

水稻胚胎发育过程相关基因的鉴定(简报)

为了研究水稻胚胎发育的分子机制,我们运用抑制差减杂交(SSH)技术鉴定了胚胎发育早期(授粉后5-7天)和晚期(授粉后15-17天)优势表达的基因.结果发现在胚胎发育早期和晚期优势表达的表达序列标签(EST)分别为47个和15个,这些EST可分为新陈代谢、蛋白合成、蛋白修饰、细胞防御或胁迫、转运运输、转译、DNA或RNA结合等多种类别.其中有32%的EST在GenBank的生物信息数据库中没有同源序列.从两个SSH文库中随机抽取11个EST分别在5DAP和15DAP水稻分化的胚胎中进行RT-PCR验证.结果显示SSH文库所获得的EST符合建库要求.对这些EST所代表的基因作进一步研究将有助于了解其在水稻胚胎发育中的生物学功能.     

进化上保守的小鼠FLANa基因的计算机克隆

EST(expressed sequence tag,表达序列标签)是对cDNA克隆进行测序时得到的序列,一般位于该克隆的一端,序列为单次测序所得到的。现在EST已成为一个非常大的数据库,并被广泛运用于基因家族新成员的寻找,也可作为人染色体上的标志来寻找多态性位点,还可以用来比较某基因在不同组织和病理状态中的表达模式。在EST数据库中,     

心脏特异新基因Lrrc10的分子克隆与特性分析

采用表达序列标签(EST)介导的基因克隆和表达谱分析,从小鼠心脏克隆了一个心脏特异新基因Lrrc10（GenBank Acc No. AF527781）.该基因cDNA全长为1 410 bp,定位于小鼠染色体10D2,在基因组中无内含子.Lrrc10的最大开放阅读框编码的假想蛋白由274个氨基酸组成,含有7个亮氨酸重复基序.同源性检索未发现有整体同源性的已知基因.EST数据库中支持该基因cDNA序列的全部18条EST均来自小鼠心脏组织.对小鼠的不同组织cDNA的RT-PCR检测证实该基因主要在心脏中强表达,在肺低表达,而在其他组织中不表达或表达很弱.因此该基因是心脏特异的富亮氨酸重复超家族新成员.     

白叶枯病菌胁迫下云南普通野生稻SSH文库的构建及抗病相关基因分析

以云南普通野生稻为材料,利用抑制差减杂交技术（SSH）,构建了白叶枯病菌胁迫的云南普通野生稻特异表达基因的差减文库.通过对文库所有阳性单克隆进行测序,聚类分析后共获得494条高质量的表达序列标签（EST）.经过BlastN分析,有417条与已知功能的序列有较高同源性;经BlastX分析,有104条EST与未知功能蛋白或假定蛋白有较高相似性,49条EST未能找到同源匹配,341条EST与已知功能蛋白有较高同源性.初步分析发现,这些基因主要涉及能量代谢、蛋白质代谢、核酸代谢、防御与抗逆应答反应、信号转导、光合作用及膜运输等代谢过程.使用半定量RT-PCR研究了7个可能与白叶枯病抗性相关的EST序列在云南普通野生稻对照和白叶枯病菌处理的叶片中的表达情况,并获得这些基因的表达谱.结果发现,克隆编号为OR7,OR68和OR826的EST受白叶枯病菌胁迫诱导上调表达,其中OR826 EST在蛋白数据库中无同源序列,可能是一类新的白叶枯病抗性基因,而组成型表达的OR143 EST在对照和接菌处理的叶片中均能检测到其mRNA的表达,但其表达量在白叶枯病菌胁迫48 h后逐渐增强,推测这些基因直接参与了云南普通野生稻抗病防御反应.本研究为从云南普通野生稻中发掘和克隆新的白叶枯病抗性基因提供了理论依据,为进一步研究云南普通野生稻抗白叶枯病的分子机制奠定了基础.     

数据综合分析鉴定人类Auxilin基因

Auxilin蛋白诱导Hsp70c蛋白与笼形蛋白的结合,在真核细胞衣被小泡脱衣被的过程中扮演了重要的角色.通过对已有EST,STS等数据库的综合分析,我们将人类auxilin基因定位到1p31,D1S515和D1S198标记之间.26个EST构成的5个重叠群,占该基因中共约2.3 kb的部分cDNA序列,其中编码区长501 bp,得到的序列与牛的auxilin基因显示有极高的同源性.各EST数据显示,auxilin在人胚胎的多种组织中表达,在成人脑、表皮组织中也有表达.     

EST分析技术在鸡基因组学研究中的应用

表达序列标签（EST）是由大量随机取出的cDNA库克隆经测序得到的组织或细胞基因组的一段cDNA序列,一个EST代表生物体某种组织某一时期的一个表达基因。综述了EST分析技术在鸡基因组研究中的应用。如用于鉴定、发现和预测鸡的新基因,用于基因图谱的绘制,用于筛选基因的单核苷酸多态性（SNP）位点,用于基因表达分析和基因芯片制作等。EST数据库和生物信息学的联合分析技术在推动家鸡后基因组的研究中发挥着重要的作用。     

花生EST数据库的分析、评价和应用前景

花生是我国重要的油料和经济作物。花生产业的发展对我国国民经济具有重要战略意义。随着分子生物学的发展,植物基因工程和功能基因组学的先进技术将有效推动花生种质创新和科技进步。分析了现有的花生EST数据,结合其他作物功能基因组学的最新研究进展,深入探讨了花生EST数据资源在基因克隆、分子标记开发及表达谱研究等方面的利用价值,并在分析花生EST数据库特点的基础上,展望了新一代测序技术在花生中的应用前景。为更好的利用花生EST数据库提供参考。     

基于EST数据的水稻基因表达大规模初步分析

EST序列代表了组织基因表达的转录信号,本研究尝试开发简单高效的大规模EST分析方法,从NCBI下载水稻(Oryza sativa)的所有EST序列并进行分析以获取水稻发育过程基因表达的重要信息。通过进行blast比对和phrap拼接分析,及利用Unix文本过滤方法,从EST序列拼接获得了3万多个重叠群序列。进一步将重叠群序列与NCBI核酸数据库进行比对获得了各个序列的注释信息。从重叠群的组织表达初步挖掘中发现花药的表达数量最多,为下一步探讨水稻发育器官特异表达基因调控打下了重要基础。     

大白菜碳酸酐酶基因的克隆与序列分析

以大白菜雄性不育系和保持系花蕾差异表达片段EST H9为信息探针,在GenBank数据库中进行同源EST序列检索,并对亲缘关系近的同源EST序列进行拼接,得到大白菜EST H9的5'-cDNA序列.根据拼接组装所得的5'-cDNA序列,进行3'-RACE引物的设计,经RACE扩增、测序,获得了大白菜α-碳酸酐酶3基因的cDNA全长序列并将其登录到GenBank(登录号为GU143061),命名为BrACA3.该cDNA全长998 bp,编码270个氨基酸.同源分析显示该cDNA序列推导的氨基酸序列与拟南芥α-碳酸酐酶3一致性达78%.氨基酸序列分析表明,该蛋白具备跨膜功能,在第19和20个氨基酸之间存在一个信号肽序列,存在丝氨酸、苏氨酸和酪氨酸磷酸化位点.在大白菜花蕾败育过程中α-碳酸酐酶3基因不表达,只在保持系B7的大花蕾时期表达.     

Finding coexpressed genes in counts-based data: an improved measure with validation experiments

MOTIVATION: Expressed sequence tag (EST) data reflects variation in gene expression, but previous methods for finding coexpressed genes in EST data are subject to bias and vastly overstate the statistical significance of putatively coexpressed genes. RESULTS: We introduce a new method (LNP) that reports reasonable p-values and also detects more biological relationships in human dbEST than do previous methods. In simulations with human dbEST library sizes, previous methods report p-values as low as 10(-30) on 1/1000 uncorrelated pairs, while LNP reports significance correctly. We validate the analysis on real human genes by comparing coexpressed pairs to gene ontology annotations and find that LNP is more sensitive than the three previous methods. We also find a small but statistically significant level of coexpression between interacting proteins relative to randomized controls. The LNP method is based on a log-normal prior on the distribution of expression levels.     

The human cadherin-10 gene: complete coding sequence, predominant expression in the brain, and mapping on chromosome 5p13-14.

In a quest for novel cadherin gene family members in the human dbEST database, an interesting EST clone was identified and chosen for subsequent analysis. Using the technique of 5' rapid amplification of cDNA ends, we isolated the complete coding sequence and a large part of the UTRs of a novel gene. The sequence appeared to correspond to the human cadherin-10 gene, whose sequence was only partially known before. The expression pattern of this cadherin was found to be largely brain-specific, with additional expression in both adult and fetal kidney, and with minor expression in prostate and fetal lung. By FISH analysis the genomic location was determined at human chromosome 5p13-14, which is nearby the reported positions of the human cadherin-6, -12, and cadherin-14 (CDH18) genes. Cadherin-10 shows high relationship to the human cadherin-6 gene.     

Gene expression profile of human bone marrow stromal cells: high-throughput expressed sequence tag sequencing analysis

Human bone marrow stromal cells (HBMSC) are pluripotent cells with the potential to differentiate into osteoblasts, chondrocytes, myelosupportive stroma, and marrow adipocytes. We used high-throughput DNA sequencing analysis to generate 4258 single-pass sequencing reactions (known as expressed sequence tags, or ESTs) obtained from the 5' (97) and 3' (4161) ends of human cDNA clones from a HBMSC cDNA library. Our goal was to obtain tag sequences from the maximum number of possible genes and to deposit them in the publicly accessible database for ESTs (dbEST of the National Center for Biotechnology Information). Comparisons of our EST sequencing data with nonredundant human mRNA and protein databases showed that the ESTs represent 1860 gene clusters. The EST sequencing data analysis showed 60 novel genes found only in this cDNA library after BLAST analysis against 3.0 million ESTs in NCBI's dbEST database. The BLAST search also showed the identified ESTs that have close homology to known genes, which suggests that these may be newly recognized members of known gene families. The gene expression profile of this cell type is revealed by analyzing both the frequency with which a message is encountered and the functional categorization of expressed sequences. Comparing an EST sequence with the human genomic sequence database enables assignment of an EST to a specific chromosomal region (a process called digital gene localization) and often enables immediate partial determination of intron/exon boundaries within the genomic structure. It is expected that high-throughput EST sequencing and data mining analysis will greatly promote our understanding of gene expression in these cells and of growth and development of the skeleton.     

猪肌肉素基因的cDNA克隆与表达

从人肌肉素基因出发, 在dbEST数据库中进行同源性搜索, 找到七个有较高同源性的Expressed Sequence Tag(DY426490, CF787546, AJ660979, AJ664670, AJ663820, AJ680159, DN106254)。通过拼接和进一步RT-PCR实验验证, 获得猪肌肉素基因全长cDNA序列, 其全长651 bp, 开放阅读框为54~452 bp, 编码有132个氨基酸。同源性分析结果表明, 与人、小鼠和大鼠的肌肉素基因cDNA编码区(CDS)同源性分别为87.2%、77.6%和77.9%。利用克隆出的猪肌肉素cDNA, 构建表达载体pGEX-4T-1-musclin, 并在BL21大肠杆菌中成功表达和纯化了分子量为38.59 kD的融合蛋白GST-Musclin, 并运用蛋白印迹技术进行鉴定。     

Expression levels of 63 p53-related genes add up to similar values in 24 different tissues and are unified in cancer

The expression patterns of 62 genes interacting with p53 have been investigated in 24 normal and cancerous tissues using NIH's dbEST library. The expression levels of individual genes, such as the TTP53 gene itself, but also other genes, vary up to 33-fold among the 24 different tissues and no consistent pattern can be recognized. However, when expression levels for all 63 genes are summed, these "cumulated levels" are surprisingly constant over the 24 investigated normal tissues. In cancers, the variation is further reduced. Essentially, the cumulated expression levels in cancer are independent of those in normal tissue. We furthermore constructed a linear statistical classifier, i.e., a weighted sum of gene expression levels, which robustly distinguishes normal from cancer tissue independent of the particular kind of tissue. Thus, despite very large differences for individual genes and considerable changes during carcinogenesis, the cumulated expressions have narrowly defined levels.