生物信息学分析实验报告
生物信息学实验报告

生物信息学实验报告:__ 王思____ __ _学号:___ 031040103_ ___指导老师:__ 宋晓峰 _航空航天大学2013年4月实验一生物信息数据库的检索一.实验目的:1.了解生物信息学的各大门户以及其中的主要资源。
2.了解主要数据库的容及结构,理解各数据库注释的含义。
3.以PubMed为例,学会文献数据库的基本查询检索方法。
二.实验容:(1)国际与国的生物信息中心国际NCBI、EBI、ExPASy,EMBL、SIB、TIGR以及国CBI、BioSino的熟悉及容的了解。
核酸序列数据库:genbank/EMBL-bank/DDBJNCBI网址:/EBI网址:/EMBL网址:/embl蛋白质序列数据库:Swiss Prot 、ExPASy网址:/Uniprot网址:/蛋白质结构数据库:PDB网址:/pdb/(2)数据库容、结构与注释的浏览分别读取The spike protein of SARS-Corona Virus在NCBI中的核酸序列、SWISS-PROT蛋白质序列以及PDB蛋白质结构序列,熟悉数据库记录的结构,学会看懂其中的注释。
核酸序列:SWISS-PROT蛋白质序列:PDB蛋白质结构序列:其PDB文件见附件SARS-Corona Virus.PDB文件分别读取Heamagglutinin Genes of H9N2 Subtype Influenza A Viruses(禽流感H9N2亚型HA基因)在NCBI中的核酸序列、SWISS-PROT蛋白质序列以及PDB蛋白质结构序列,熟悉数据库记录的结构,学会看懂其中的注释。
核酸序列:SWISS-PROT蛋白质序列PDB蛋白质结构序列其PDB文件见附件H9N2.PDB文件(3)文献信息的查找与管理有效地使用NCBI PubMed提供的各种主要功能,查询并下载相关课题或研究方向的论文文摘与文献全文。
查询Influenza A Viruses分子进化研究方向的文章。
生物工程专业生物信息学实习报告

生物工程专业生物信息学实习报告1. 引言生物信息学是生物工程专业中一门重要的学科,通过应用计算机和统计学方法研究生物学信息,对生物系统进行分析和解释。
本次实习旨在提供实际生物信息学应用的机会,进一步加深我对生物信息学的理解和实践能力。
2. 实习背景与目的本次实习在xxx公司进行,公司拥有世界一流的生物信息学研发团队,并与许多国际知名大学合作开展相关项目。
实习的目的是深入了解生物信息学在生物工程领域的应用,提高在生物信息学方面的研究和实践能力。
3. 实习内容3.1 数据获取与清洗在实习初期,我与团队成员一起从公共数据库中获取生物学实验数据,并使用相应的软件对原始数据进行处理和清洗,保证数据的准确性和可信度。
3.2 数据分析与建模在数据清洗后,我开始进行数据分析和建模。
其中,我学习了常用的生物信息学软件和工具,如BLAST、ClustalX等,对DNA和蛋白质序列进行比对和序列相似性分析,并利用分析结果进行生物信息学建模。
3.3 基因组学研究在实习的后期,我参与了公司的基因组学研究项目。
通过利用大规模测序技术获取的数据,我学会了基因组序列的拼接与组装,并进行了基因预测和功能注释,进一步深入了解了基因组学的研究方法和技术。
4. 实习总结与收获通过本次实习,我对于生物信息学在生物工程领域的应用有了更深入的理解和实践经验。
我不仅学到了许多常用的生物信息学软件和工具,还掌握了生物学实验数据的处理和分析方法。
同时,实习还让我更好地理解了基因组学的研究过程和技术,提高了自己的研究能力和科学素养。
5. 对未来发展的展望通过本次实习,我深刻认识到生物信息学在生物工程领域的巨大潜力和重要性。
未来,我将进一步深化对生物信息学的学习和研究,不断提高自己的技能和能力,为生物科学的发展和进步做出贡献。
6. 结语通过这次实习,我对生物信息学的理论与实践以及其在生物工程领域的应用有了更深入的认识。
我将用所学知识和经验为进一步推动生物信息学研究和应用做出努力。
生物信息学实习报告

实习报告一、实习背景与目的随着生物信息学在生物科学、医学、农业等领域的广泛应用,我意识到掌握生物信息学技能对于我未来的职业发展至关重要。
因此,我参加了为期两周的生物信息学实习,以提高我的生物信息学技能并深入了解该领域的实际应用。
二、实习内容与过程在实习的第一周,我主要学习了生物信息学的基础知识,包括生物信息学的基本概念、生物数据库的使用、序列比对和分子进化分析等。
通过查阅资料和参与讨论,我了解了生物信息学在基因组学、蛋白质学和代谢组学等领域的应用,并掌握了相关软件和工具的使用方法。
在实习的第二周,我参与了一个实际项目,对某个基因家族进行进化分析。
首先,我使用序列比对工具对基因家族的成员进行比对,识别出保守区域和变异区域。
然后,我使用分子进化分析工具对序列进行 phylogenetic 分析,构建进化树并分析基因家族的进化关系。
最后,我使用代谢组学数据分析工具对实验数据进行分析,识别出与基因家族进化相关的代谢物。
三、实习成果与反思通过这次实习,我不仅掌握了生物信息学的基本知识和技能,还了解了生物信息学在实际研究中的应用。
我能够独立完成基因家族的进化分析,并能够使用相关软件和工具进行数据分析。
然而,我也意识到生物信息学是一个不断发展的领域,需要不断学习和更新知识。
在实习过程中,我遇到了一些挑战,例如数据分析工具的使用困难和生物信息学概念的理解。
这使我意识到理论与实践之间的差距,并激发了我进一步学习的动力。
四、实习总结通过这次生物信息学实习,我对生物信息学有了更深入的了解,并提高了我的实际操作能力。
我认识到生物信息学在现代生物学研究中的重要性,并决心在未来的学习和工作中不断努力,成为一名优秀的生物信息学专家。
生物信息学实验报告5

西安交通大学实验报告
课程生物信息学实验名称第页共页
系别生物医学工程实验日期年月日
专业班级_________组别_______ 实验报告日期年月日
姓名___________学号______报告退发 ( 订正、重做 )
同组人_________________________________ 教师审批签字
实验名称序列数据库的搜索比对
一.题目
(1)查询所给的序列在细菌中的同源序列,再进行相应操作(利用BLAST)。
(2)利用PSI-BLAST对刚才所检索的核酸序列对应的蛋白质序列进行操作。
二.环境 Windows
三.实验步骤
(1)进入NCBI主页,找到blastn程序,将物种限制在“Bacteria”,默认参数操作,然后再改变参数进行操作;再用blastx操作,操作步骤与前面相似。
(2)进行PSI-BLAST检索,具体操作方式见原实验操作。
四.实验数据与结果
1、a、有5个结果命中,E值小于0.1的有0条。
b、有10个结果命中,E值小于0.1的有1条。
c、得到6个结果命中,E值都小于0.1。
d、得到5个结果命中,E值都小于0.1。
2、a、得到11个匹配,E值小于0.1的有11条,即均小于0.1。
b、
c、大多数你所发现的蛋白质都具有相同的功能,是什么功能?如何进一步确定你的查询序列与结果中的序列相关?
总结:。
生物信息学中的生物数据分析与基因组研究实验总结

生物信息学中的生物数据分析与基因组研究实验总结近年来,随着生物信息学的快速发展,生物数据分析与基因组研究成为了生物学领域的重要研究方向。
本文将对生物数据分析和基因组研究的实验方法与结果进行总结,以期为相关研究提供参考。
一、生物数据分析生物数据分析是生物信息学的核心内容之一,它通过对大量生物学数据的收集、整理和分析,揭示生物体内基因与蛋白质的功能、调控机制以及相关的疾病发生机理等信息。
常用的生物数据分析方法主要包括序列分析、结构分析、功能分析和表达分析等。
序列分析是生物数据分析的基础,它主要研究DNA、RNA和蛋白质序列之间的相关性和功能。
通过比对序列相似性,可以推断物种间的进化关系以及基因与蛋白质之间的功能差异。
在序列分析中,常用的工具有BLAST、ClustalW和T-Coffee等。
结构分析主要关注蛋白质的三维结构,通过模拟和预测蛋白质的空间结构,可以研究蛋白质的功能和结构之间的关系。
在结构分析中,常用的工具有SWISS-MODEL、Phyre2和I-TASSER等。
功能分析旨在研究基因和蛋白质的功能和调控机制。
通过基因组注释和GO(Gene Ontology)富集分析等方法,可以获取基因和蛋白质的功能信息,并预测其在生物过程中的作用。
表达分析则是研究基因和蛋白质在不同条件下的表达水平和调控机制。
通过转录组学和蛋白质组学的方法,可以高通量地检测和分析基因和蛋白质的表达情况,从而揭示基因调控网络和信号传导途径等重要信息。
综上所述,生物数据分析通过多种方法和工具,能够揭示生物体内复杂的分子机制和生物学过程,为基因组研究提供了重要的理论和实验基础。
二、基因组研究实验基因组研究是生物信息学的另一重要应用领域,它通过分析和解读生物体内基因组的结构、功能和调控机制等信息,能够深入理解生物体内各种生物学过程的本质。
常用的基因组研究实验主要包括基因测序、转录组测序和蛋白质组测序等。
基因测序是指对生物体内的DNA序列进行测定和分析。
生物信息学实验报告1(一)生物信息学数据库

(一)生物信息学数据库实验目的:了解生物信息学的各大门户网站,了解数据库的内容及结构,理解各数据库注释的含义。
1、分别读取人CDK4的核酸序列及蛋白质序列,保存FASTA格式序列,熟悉数据库记录的flatfile格式,看懂其中的注释。
在NCBI数据库中读取人CDK4的核酸序列,步骤入下:(1)选择核酸(Nucleotide)将CDK4输入搜索栏中,点击Search。
(2)在Top Organisms中选择人(Homo sapients)(3)在数据库出现的数据中选择合适的核酸序列,选择FASTA可以使序列以FASTA 的格式显示出来。
GenBank形式则显示该序列的详细信息。
(4)保存的FASTA格式序列如下>gi|345525417|ref|NM_000075.3| Homo sapiens cyclin-dependent kinase 4 (CDK4), mRNACACCTCCTGTCCGCCCCTCAGCGCATGGGTGGCGGTCACGTGCCCAGAACGTCCGGCGTTCGCCCCG CCCTCCCAGTTTCCGCGCGCCTCTTTGGCAGCTGGTCACATGGTGAGGGTGGGGGTGAGGGGGCCTCTCTAG CTTGCGGCCTGTGTCTATGGTCGGGCCCTCTGCGTCCAGCTGCTCCGGACCGAGCTCGGGTGTATGGG(5) 在NCBI数据库中读取人CDK4的蛋白质序列,步骤入下:选择蛋白质(Protein)将CDK4输入搜索栏中,点击Search。
选择CDK4[Homo sapiens]的FASTA格式2、2BXI练习使用Jmol浏览蛋白质的三维结构。
()先进入PDB,再查看。
无法访问此网站3、练习使用Pubmed文献数据库(1)Pubmed检索运算符逻辑与:AND;逻辑或:OR;逻辑非:NOT。
注:当当一个检索表达式中同时含有三个运算符时,运算顺序从左至右,括号可以改变运算顺序。
生物信息学实验报告

生物信息学实验报告班级::学号:日期:实验一核酸和蛋白质序列数据的使用实验目的了解常用的序列数据库,掌握基本的序列数据信息的查询方法。
教学基本要求了解和熟悉NCBI 核酸和蛋白质序列数据库,可以使用BLAST进行序列搜索,解读BLAST 搜索结果,可以利用PHI-BLAST 等工具进行蛋白质序列的结构域搜索,解读蛋白质序列信息,可以在蛋白质三维数据库中查询相关结构信息并进行显示。
实验容提要在序列数据库中查找某条基因序列(BRCA1),通过相关一系列数据库的搜索、比对与结果解释,回答以下问题:1. 该基因的基本功能?2. 编码的蛋白质序列是怎样的?3. 该蛋白质有没有保守的功能结构域 (NCBI CD-search)?4. 该蛋白质的功能是怎样的?5. 该蛋白质的三级结构是什么?如果没有的话,和它最相似的同源物的结构是什么样子的?给出示意图。
实验结果及结论1. 该基因的基本功能?This gene encodes a nuclear phosphoprotein that plays a role in maintaining genomic stability, and it also acts as a tumor suppressor. The encoded protein combines with other tumor suppressors, DNA damagesensors, and signal transducers to form a large multi-subunit protein complex known as the BRCA1-associated genome surveillance complex (BASC). This gene product associates with RNA polymerase II, and through the C-terminal domain, also interacts with histone deacetylase complexes. This protein thus plays a role in transcription, DNA repair of double-stranded breaks, and recombination. Mutations in this gene are responsible for approximately 40% of inherited breast cancers and more than 80% of inherited breast and ovarian cancers. Alternative splicing plays a role in modulating the subcellular localization and physiological function of this gene. Many alternatively spliced transcript variants, some of which are disease-associated mutations, have been described for this gene, but the full-length natures of only some of these variants has been described. A related pseudogene, which is also located on chromosome 17, has been identified. [provided by RefSeq, May 2009]2. 编码的蛋白质序列是怎样的?[Homo sapiens]1 mdlsalrvee vqnvinamqk ilecpiclel ikepvstkcd hifckfcmlk llnqkkgpsq61 cplcknditk rslqestrfs qlveellkii cafqldtgle yansynfakk ennspehlkd121 evsiiqsmgy rnrakrllqs epenpslqet slsvqlsnlg tvrtlrtkqr iqpqktsvyi181 elgsdssedt vnkatycsvg dqellqitpq gtrdeislds akkaacefse tdvtntehhq241 psnndlntte kraaerhpek yqgssvsnlh vepcgtntha sslqhenssl lltkdrmnve301 kaefcnkskq pglarsqhnr wagsketcnd rrtpstekkv dlnadplcer kewnkqklpc361 senprdtedv pwitlnssiq kvnewfsrsd ellgsddshd gesesnakva dvldvlnevd421 eysgssekid llasdpheal ickservhsk svesniedki fgktyrkkas lpnlshvten481 liigafvtep qiiqerpltn klkrkrrpts glhpedfikk adlavqktpe minqgtnqte541 qngqvmnitn sghenktkgd siqneknpnp ieslekesaf ktkaepisss isnmelelni601 hnskapkknr lrrksstrhi halelvvsrn lsppnctelq idscssseei kkkkynqmpv661 rhsrnlqlme gkepatgakk snkpneqtsk rhdsdtfpel kltnapgsft kcsntselke721 fvnpslpree keekletvkv snnaedpkdl mlsgervlqt ersvesssis lvpgtdygtq781 esisllevst lgkaktepnk cvsqcaafen pkglihgcsk dnrndtegfk yplghevnhs 841 retsiemees eldaqylqnt fkvskrqsfa pfsnpgnaee ecatfsahsg slkkqspkvt 901 feceqkeenq gknesnikpv qtvnitagfp vvgqkdkpvd nakcsikggs rfclssqfrg 961 netglitpnk hgllqnpyri pplfpiksfv ktkckknlle enfeehsmsp eremgnenip 1021 stvstisrnn irenvfkeas ssninevgss tnevgssine igssdeniqa elgrnrgpkl 1081 namlrlgvlq pevykqslpg snckhpeikk qeyeevvqtv ntdfspylis dnleqpmgss 1141 hasqvcsetp ddllddgeik edtsfaendi kessavfsks vqkgelsrsp spfththlaq 1201 gyrrgakkle sseenlssed eelpcfqhll fgkvnnipsq strhstvate clsknteenl 1261 lslknslndc snqvilakas qehhlseetk csaslfssqc seledltant ntqdpfligs 1321 skqmrhqses qgvglsdkel vsddeergtg leennqeeqs mdsnlgeaas gcesetsvse 1381 dcsglssqsd ilttqqrdtm qhnliklqqe maeleavleq hgsqpsnsyp siisdssale 1441 dlrnpeqsts ekavltsqks seypisqnpe glsadkfevs adsstsknke pgversspsk 1501 cpslddrwym hscsgslqnr nypsqeelik vvdveeqqle esgphdltet sylprqdleg 1561 tpylesgisl fsddpesdps edrapesarv gnipsstsal kvpqlkvaes aqspaaahtt 1621 dtagynamee svsrekpelt astervnkrm smvvsgltpe efmlvykfar khhitltnli 1681 teetthvvmk tdaefvcert lkyflgiagg kwvvsyfwvt qsikerkmln ehdfevrgdv 1741 vngrnhqgpk raresqdrki frgleiccyg pftnmptdql ewmvqlcgas vvkelssftl 1801 gtgvhpivvv qpdawtedng fhaigqmcea pvvtrewvld svalyqcqel dtylipqiph 1861 shy3. 该蛋白质有没有保守的功能结构域 (NCBI CD-search)?有保守的供能结构域。
生物信息学分析报告

目录1序列信息提取 (2)2Gene Ontology (GO)功能注释 (2)2.1序列比对(BLAST) (2)2.2GO功能条目提取(Mapping) (2)2.3功能注释(Annotation) (3)2.4补充注释(Annotation augmentation) (3)2.5GO功能注释统计 (3)2.6GO Slim注释与统计 (4)3KEGG通路注释 (5)4蛋白质相互作用网络分析 (6)References (8)1 序列信息提取原始数据中质谱鉴定成功的蛋白质共计695个,序列信息批量提取自UniProtKB数据库,以FASTA格式保存(2014040152BT76DF0L.fasta)。
2 Gene Ontology (GO)功能注释基因本体(Gene Ontology) 是一个标准化的基因功能分类体系,提供了一套动态更新的标准化词汇表,并以此从三个方面描述生物体中基因和基因产物的属性:参与的生物过程(Biological Process),分子功能(Molecular Function) 和细胞组分(Cellular Component) 1。
2.1序列比对(BLAST)我们利用本地化序列比对软件NCBI BLAST+(ncbi-blast-2.2.28+-win32.ext)将鉴定到的蛋白质与 SwissProt Mammals数据库中的蛋白质序列进行比对。
根据相似性原理,所得的同源蛋白的功能信息可以用于目标蛋白的功能注释。
我们仅保留排名前10条且E-value ≤1e-3的比对序列进行后续的分析(GO.xlsx表中sheet TopBlastHits)。
所得的比对相似性范围为36-100% ,其中大部分目标蛋白序列的比对相似性为90% 或以上(图1)。
图1序列比对相似性分布2.2GO功能条目提取(Mapping)BlastGO2是一个用于基因/蛋白质功能注释和数据分析的应用软件。
- 1、下载文档前请自行甄别文档内容的完整性,平台不提供额外的编辑、内容补充、找答案等附加服务。
- 2、"仅部分预览"的文档,不可在线预览部分如存在完整性等问题,可反馈申请退款(可完整预览的文档不适用该条件!)。
- 3、如文档侵犯您的权益,请联系客服反馈,我们会尽快为您处理(人工客服工作时间:9:00-18:30)。
1、分别写出2010年以来,国际上与Ovarian cancer、Breast cancer、Leukemia相关的文献有多少篇?写出3篇研究性论文标题和摘要,写出5篇综述性论文标题和摘要;数据库:科学引文索引数据库(SCI:Science Citation Index)与Ovarian cancer相关的文献有11,303篇与Breast cancer相关的文献有56,209篇与Leukemia相关的文献有32,912篇综述性论文标题和摘要1.Hemochromatosis and ovarian cancer摘要:Evaluation of: Gannon PO, Medelci S, Le Page C et al. Impact of hemochromatosis gene (HFE) mutations on epithelial ovarian cancer risk and prognosis. Int. J. Cancer 128(10), 2326-2334 (2011). The frequency of two mutations (C282Y and D62H) of the hemochromatosis gene were investigated in women with ovarian cancer. A single allele mutation of the C282Y but not the H63D gene product was detected in 8-9% of women with benign ovarian tumors (n = 124) and ovarian cancers (n = 360) compared with 2.5% for controls (n = 80) representing a 4.9-fold increase in risk.With high-grade serous ovarian cancers (n = 179), the survival rate of women with a single allele C282Y mutation was reduced from 39 to 19 months. These results implicate mutations of the hemochromatosis gene in the generation and severity of ovarian cancers, which may have prognostic value.2.Differences between women who pursued genetic testing for hereditary breastand ovarian cancer and their at-risk relatives who did not.摘要: Purpose/Objectives: To (a) examine differences in appraisals of hereditary breast and ovarian cancer (HBOC), psychological distress, family environment, and decisional conflict between women who pursued genetic testing and their at-risk relatives who did not, and (b) examine correlations among appraisals of HBOC, psychological distress, family environment, and decisional conflict regarding genetic testing in these two cohorts of women.Design: Descriptive, cross-sectional cohort study.Setting: Two clinics affiliated with a major research university in the midwestern United States.Sample: 372 women aged 18 years and older. 200 pursued genetic testing for BRCA1 and BRCA2 mutations (probands) and 172 of their female relatives who had a greater than 10% prior probability of being a mutation carrier but had not pursued testing.Methods: After providing informed consent, probands and relatives were mailed self-administered questionnaires.Main Research Variables: Perceived risk, knowledge of HBOC risk factors and modes of gene inheritance, perceived severity, perceived controllability, psychological distress, family relationships, family communication, and decisional conflict about genetic testing.Findings: T tests revealed that probands perceived higher risk and had more psychological distress associated with breast cancer.Probands had more knowledge regarding risk factors and gene inheritance, and greater decisional conflict regarding genetic testing. Relatives reported higher perceived severity and controllability.No differences were observed in family relationships and family communication between probandsand relatives. Pearson correlations revealed different patterns in knowledge, perceived controllability, family relationships, and decisional conflict between probands and relatives.Conclusions: Significant differences exist between women who pursue genetic testing and those who do not. The family environment influences adjustment to HBOC and decisions about genetic testing.Implications for Nursing: Enhancing the family communication process about HBOC can provide informational and emotional support to high-risk women and promote decision making about genetic testing.3.Incidence and mortality in epithelial ovarian cancer by family history of anycancer摘要: Practically all data on familial risk in ovarian and other cancers are based on incident cancer, whereas familiality in cancer mortality is largely unknown. If fatal forms of cancer are a highly familial subtype, then familial risk for mortality may exceed that of incidence, which is relevant for clinical decision making and counseling. Ovarian cancer patients in the nationwide Swedish Family Cancer Database were classified according to fatal and nonfatal (incident) family history. Familial risks for incident and fatal ovarian cancer were calculated for offspring based on their parental or sibling family history of any cancer using standardized incidence ratios (SIRs) for incidence and standardized mortality ratios (SMRs) for mortality. Offspring without family history were referents. The database included 24,757 mothers and 8138 daughters with ovarian cancer. When a mother had ovarian cancer, the SIR for incident ovarian cancer in daughters was 2.69, and when a sister had ovarian cancer it was 3.49. The SMRs for fatal cancer by fatal cancer in probands were 3.39 and 5.80, respectively. For fatal serous cancers among siblings, the SMR was 6.16, compared with 10.01 for the endometrioid type. Ovarian cancer was associated with maternal (SIR, 1.22; SMR, 1.56) and sororal breast cancer (SIR, 1.27). Another discordant association was between ovarian and paternal prostate cancer (SIR, 1.12; SMR, 1.66). Fatal familial risks were higher for concordant ovarian, ovarian-breast, and ovarian-prostate cancers than the corresponding incident risks. This may suggest that highly fatal subtypes exist for these cancers, calling for genetic dissection. Cancer 2011. 2011 American Cancer Society. Copyright 2011 American Cancer Society.4.Knock-down of amphiregulin inhibits cellular invasion in inflammatory breastcancer.摘要: We have previously shown that SUM-149 human breast cancer cells require an amphiregulin (AREG) autocrine loop for cell proliferation. We also demonstrated that AREG can increase epidermal growth factor receptor (EGFR) stability and promote EGFR localization to the plasma membrane. In the present studies we successfully knocked-down AREG expression in SUM-149 cells by lentiviral infection of AREG shRNA. In the absence of AREG expression, SUM-149 cell growth was slowed, but not completely inhibited. Furthermore, cells infected with AREG shRNA constructs showed an increase in EGFR protein expression by Western blot. Immunofluorescence and confocal microscopy showed that following AREG knock-down, EGFR continued to localize to the cell surface. Soft agar assays demonstrated that AREG knock-down cells retain anchorage-independent growth capacity. Additionally mammosphere forming assays and Adefluor staining analysis showed that knock-down of AREG expression did not affect the expression of stem cell phenotypes. However, following AREG knock-down, SUM-149 cells demonstrated a dramatic decrease in their ability to invade a Matrigel matrix. Consistent with this observation,microarray analysis comparing cells infected with a non-silencing vector to the AREG knock-down cells, identified genes associated with the invasive phenotype such as RHOB and DKK1, and networks associated with cell motility such as integrin-linked kinase signaling, and focal adhesion kinase signaling. AREG was also found to modulate WNT and Notch signaling in these cells. Thus, AREG functions in regulating the invasive phenotype, and we propose that this regulation may be through altered signaling that occurs when AREG activates plasma membrane localized EGFR. J.Cell. Physiol. 226: 2691-2701, 2011. 2011 Wiley-Liss, Inc. Copyright 2011 Wiley-Liss, Inc.5.Prognostic impact of c-KIT mutations in core binding factor acute myeloidleukemia.摘要: This study sought to define the prognostic impact of c-KIT mutations in core binding factor acute myeloid leukemia (CBF AML) patients. A total of 116 patients diagnosed as CBF AML in Asan Medical Center from January 1999 to May 2010 were enrolled in this study. We applied melting curve analyses and direct sequencing methods to confirm c-KIT mutations in exon 17 (mutKIT17) and exon 8 (mutKIT8). Of the total 116 patients, mutKIT17 were found in 36 (31%) and mutKIT8 were found in 7 (6%). In patients with t(8;21), prognosis was significantly poorer in those with mutKIT17 compared to those without the mutation. This difference was limited to adults. In patients with inv(16), there was no prognostic impact of c-KIT mutations. Therefore, an analysis of mutKIT17 in adult CBF AML patients with t(8;21) is recommended as a means to predict prognosis. Copyright 2011 Elsevier Ltd. All rights reserved.研究性论文标题和摘要1. Prolactin increases survival and migration of ovarian cancer cells: Importance ofprolactin receptor type and therapeutic potential of S179D and G129R receptor antagonists.摘要: Variably-spliced prolactin receptors (PRLRs) and PRL are expressed by the ovarian cancer cell lines, TOV-112D, OV-90 and TOV-21G. Incubation in the PRLR antagonists, G129R- or S179D-PRL, or anti-PRL reduced cell number, indicating a functional autocrine PRL growth loop. Added PRL promoted, and the antagonists decreased, cell migration. When cells were stressed, added PRL decreased apoptosis and increased survival, and the antagonists had the opposite effect. Cells expressing higher long:short PRLR ratios had increased growth, survival and migration in response to PRL. Results suggest that PRLR antagonists may be therapeutically beneficial in ovarian cancer. Copyright 2011 Elsevier Ireland Ltd. All rights reserved2. (R)-FTY720 methyl ether is a specific sphingosine kinase 2 inhibitor: Effect onsphingosine kinase 2 expression in HEK 293 cells and actin rearrangement and survival of MCF-7 breast cancer cells摘要:Sphingosine kinase 2 (SK2) catalyses the conversion of sphingosine to the bioactive lipid sphingosine 1-phosphate (Si P). We report here, the stereospecific synthesis of an analogue of FTY720 called (R)-FTY720-OMe, which we show is a competitive inhibitor of SK2. (R)-FTY720-OMe failed to inhibit sphingosine kinase 1 activity, thereby demonstrating specificity for SK2. Prolonged treatment of HEK 293 cells with (R)-FTY720-OMe also induced a reduction in SK2 expression. In addition. (R)-FTY720-OMe inhibited DNA synthesis and prevented S1P-stimulated rearrangement of actin in MCF-7 breast cancer cells. These findings demonstrate that SK2 functions as a pro-survival protein and is involved in promoting actin rearrangement into membrane ruffles/lamellipodia inresponse to SIP in MCF-7 breast cancer cells. (C) 2011 Elsevier Inc. All rights reserved3.The BH3-only protein Noxa is stimulated during apoptosis of chronic lymphocyticleukemia cells triggered by M2YN, a new plant-derived extract.摘要:Deficiency of apoptosis is a hallmark of chronic lymphocytic leukemia (CLL) cells. M2Yn is a natural extract from plants of central Asia, identified for its antiangiogenic properties and its ability to block the migration of malignant cells. Here, we report that in vitro treatment of cells derived from CLL patients with M2Yn results in internucleosomal DNA fragmentation, phosphatidylserine externalization, mitochondrial membrane depolarization, caspase-3 activation and cleavage of the caspase substrate PARP-1. The extents of these effects depend on the patients and are mostly comparable to those of flavopiridol or hyperforin, two known plant-derived apoptosis inducers of CLL cells. M2Yn does not modulate Mcl-1 expression, while downregulation of this antiapoptotic protein is involved in the action of flavopiridol. By contrast, M2Yn, like hyperforin, upregulates the Noxa protein, possibly by inhibiting proteasomal activity. This BH3-only protein is known to trigger the activation of the pro-apoptotic protein Bak through displacement of the Mcl-1/Bak complex at the mitochondrial membrane, as actually observed here in M2Yn-treated cells. Our data, therefore, show that M2Yn can induce the caspase-dependent mitochondrial pathway of apoptosis in CLL cells via a mechanism resembling that of hyperforin. Our data also confirm that the BH3-only protein Noxa is a relevant target for CLL therapy.2、请以”P53”、”BRCA1”、”BRCA2”、”RAD51D”、”MSH6”、”MLH1”为关键词,在NCBI的网站上搜索人的序列,要求列出下列信息:物种的拉丁文、序列的ACCNUM和碱基序列,并找出这些基因在酵母、果蝇和小鼠中的同源基因,列出物种的拉丁文,序列的ACCNUM;(Saccharomyces cerevisiae,Drosophila melanogaster,Mus Musculus)P53:Homo sapiensNC_000017.10Chromosome: 17; NC_000017.10 (7571720..7590863, complement)与Saccharomyces cerevisiae同源基因为BK006938.2与Drosophila melanogaster同源基因为BT021431.1与Mus Musculus同源基因为AK156276.1BRCA1:Homo sapiensNC_000017.10Chromosome: 17; NC_000017.10 (41196312..41277500, complement)与Saccharomyces cerevisiae同源基因为BK006949.2与Drosophila melanogaster同源基因为AE014134.5与Mus Musculus同源基因为AL590996.12BRCA2:Homo sapiensNC_000013.10Chromosome: 13; NC_000013.10 (32889617..32973809)与Saccharomyces cerevisiae同源基因为BK006939与Drosophila melanogaster同源基因为AE014134与Mus Musculus同源基因为AC154885RAD51D:Homo sapiensNC_000017.10Chromosome: 17; NC_000017.10 (33426811..33446888, complement)与Saccharomyces cerevisiae同源基因为S66120与Drosophila melanogaster同源基因为AE014298与Mus Musculus同源基因为AK011387MSH6:Homo sapiensNC_000002.11Chromosome: 2; NC_000002.11 (48010221..48034092)与Saccharomyces cerevisiae同源基因为BK006942与Drosophila melanogaster同源基因为BT050543与Mus Musculus同源基因为AC087233MLH1:Homo sapiensNC_000003.11Chromosome: 3; NC_000003.11 (37034841..37092337)与Saccharomyces cerevisiae同源基因为BK006940与Drosophila melanogaster同源基因为AE013599与Mus Musculus同源基因为AK1710523、请分别用核酸-核酸、核酸-蛋白质的blast方法,分析以下这个序列可能是一个什么样的序列,要求列出:blast程序、比对的数据库、相似性最高的序列的ACCNUM、相似性最高序列所在的物种和相似性最高的序列的功能描述;核酸-核酸blast程序: BLASTN 2.2.25比对的数据库: nr/nt相似性最高的序列的ACCNUM: U01876.1 GI:3478631相似性最高序列所在的物种: Deinococcus radiodurans R1相似性最高的序列的功能描述:RecA is a bacterial enzyme which has roles inhomologous recombination, DNA repair, and the induction of the SOS response. RecA couples ATP hydrolysis to DNA strand exchange;核酸-蛋白质blast程序: BLASTX 2.2.25比对的数据库: nr相似性最高的序列的ACCNUM: NP_296061.1 GI:15807331相似性最高序列所在的物种: Deinococcus radiodurans R1相似性最高的序列的功能描述: RecA is a bacterial enzyme which has roles inhomologous recombination, DNA repair, and the induction of the SOS response. RecA couples ATP hydrolysis to DNA strand exchange;4、请分别在人类基因组数据库中找出以下基因”P53”、” BRCA1”、”BRCA2”、”RAD51D”、”MSH6”、”MLH1”的cDNA的序列,要求列出:外显子序列的起始边界,外显子基本的功能描述;P53外显子序列的起始边界(1,10927,11143,11274,12310,12575,13256,13709,13938,16831,17856)外显子基本的功能描述tumor protein p53, transcript variant 2BRCA1外显子序列的起始边界(1,1369,9705,18951,20528,21223,25604,28195,29562,30624,34452,42909,48870,50963,54246,5 7789,61533,62111,68349,74367,76290,77781,79682)外显子基本的功能描述breast cancer 1, early onset, transcript variant1BRCA2外显子序列的起始边界(1,943,3598,9597,10622,10763,11020,13964,15440,16793,20786,29079,31348,39382,40949,4226 3,47044,47700,54923,55477,61191, 63838,64271,64528,79210, 81419,82683)外显子基本的功能描述breast cancer 2, early onsetRAD51D外显子序列的起始边界(1,698,13389,16326, 16546,18505,18834)外显子基本的功能描述RAD51 homolog D (S. cerevisiae), transcript variant 4MSH6外显子序列的起始边界(1,7846,12813,15530,20339,21829,22537,23123,23371,23698)外显子基本的功能描述mutS homolog 6 (E. coli)MLH1外显子序列的起始边界(1,3270,7606,11052,13642,15465,18471,18662,21083,24157,26961,32288,35435,46837,48919,54 170, 55168,55555,57137)外显子基本的功能描述mutL homolog 1, colon cancer, nonpolyposis type 2 (E. coli), transcript variant 15、请分别获取以下人类基因”P53”、”BRCA1”、”BRCA2”、”RAD51D”、”MSH6”、”MLH1”的蛋白质序列,要求列出:氨基酸序列、蛋白质的序列号。