简介:U7smallnuclearRNA(snRNA)sequenceshavebeendescribedonlyforahandfulofanimalspeciesinthepast.Herewedescribeacomputationalsearchforfunc-tionalU7snRNAgenesthroughoutvertebratesincludingtheupstreamsequenceelementscharacteristicforsnRNAstranscribedbypolymeraseⅡ.Basedontheresultsofthissearch,wediscussthehighvariabilityofU7snRNAsinbothse-quenceandstructure,andreportonanattempttofindU7snRNAsequencesinbasaldeuterostomesandnon-drosophilidsinsectgenomesbasedonacombinationofsequence,structure,andpromoterfeatures.Duetotheextremelyshortse-quenceandthehighvariabilityinbothsequenceandstructure,nounambiguouscandidateswerefound.TheseresultscastdoubtonputativeU7homologsinevenmoredistantorganismsthatarereportedinthemostrecentreleaseoftheRfamdatabase.
简介:ThispaperdemonstratestheapplicationofadesigntoolcalledBioTRIZ.Itsdevelopersclaimthatitcanbeusedtoaccessbiologicalstrategiesforsolvingengineeringproblems.Ouraimistodesignaroofforhotclimatesthatgetsfreecoolingthroughradiantcouplingwiththesky.Theinsulationinastandardroofstopsthesunandconvectionfromwarmingthethermalmass.Butitalsorestrictsthemass’slongwaveviewofthecoolsky.DifferentsolutionstothisconflictareofferedbyBioTRIZ.Thechosensolutionistoreplacethestandardinsulationcomponentwithanopencellhoneycomb.Theverticalcellswouldallowlongwaveradiationtopass,whilearrestingconvection.ThesolutionsofferedbyBioTRIZ’stechnologicalcounterpartincludenosuchchangesinstructure.Itisestimatedthatthethermalmassinthebiomimeticroofwouldremainonaverage4.5?CcoolerthaninastandardroofoverayearinRiyadh,SaudiArabia.
简介:G-proteincoupledreceptors(GPCRs)representoneofthemostimportantclassesofdrugtargetsforpharmaceuticalindustryandplayimportantrolesincellularsignaltransduction.PredictingthecouplingspecificityofGPCRstoG-proteinsisvitalforfurtherunderstandingthemechanismofsignaltransductionandthefunctionofthereceptorswithinacell,whichcanprovidenewcluesforpharmaceuticalresearchanddevelopment.Inthisstudy,thefeaturesofaminoacidcompositionsandphysiochemicalpropertiesofthefull-lengthGPCRsequenceshavebeenanalyzedandextracted.Basedonthesefeatures,classifiershavebeendevelopedtopredictthecouplingspecificityofGPCRstoG-proteinsusingsupportvectormachines.Thetestingresultsshowthatthismethodcouldobtainbetterpredictionaccuracy.
简介:东方田鼠(Microtusfortis)分布于我国东北、西北、华中、华南17个省区,在韩国及俄罗斯也见报道.国内对该鼠的5个亚种,即指名亚种(M.f.fortis)(西北)、东北亚种(M.f.pelliecus)、辽宁亚种(M.f.dolichocephalus)、长江亚种(M.f.calamorum)和福建亚种(M.f.fujianensis)(华南),作过一般生物学描述[1],对于东方田鼠研究得较多的是长江亚种,60年代有人对该种动物的生态学特点进行了报道,近期对洞庭湖区东方田鼠的种群动态、繁殖特性、迁移行为也有系列研究[2],特别是该种动物具有对日本血吸虫天然抗感染性,引起了学术界的广泛兴趣,本研究通过对人工繁殖的东方田鼠的细胞遗传学的观察,了解该种动物的染色体数目的范围、染色体核型以及染色体G带特征.
简介:Microarrayhasbecomeapopularbiotechnologyinbiologicalandmedicalresearch.However,systematicandstochasticvariabilitiesinmicroarraydataareexpectedandunavoidable,resultingintheproblemthattherawmeasurementshaveinherent"noise"withinmicroarrayexperiments.Currently,logarithmicratiosareusuallyanalyzedbyvariousclusteringmethodsdirectly,whichmayintroducebiasinterpretationinidentifyinggroupsofgenesorsamples.Inthispaper,astatisticalmethodbasedonmixedmodelapproacheswasproposedformicroarraydataclusteranalysis.TheunderlyingrationaleofthismethodistopartitiontheobservedtotalgeneexpressionlevelintovariousvariationscausedbydifferentfactorsusinganANOVAmodel,andtopredictthedifferentialeffectsofGV(genebyvariety)interactionusingtheadjustedunbiasedprediction(AUP)method.ThepredictedGVinteractioneffectscanthenbeusedastheinputsofclusteranalysis.Weillustratedtheapplicationofourmethodwithageneexpressiondatasetandelucidatedtheutilityofourapproachusinganexternalvalidation.
简介:Annotationsofcompletegenomesequencessubmitteddirectlyfromsequencingprojectsarediverseintermsofannotationstrategiesandupdatefrequencies.Theseinconsistenciesmakecomparativestudiesdifficult.Toallowrapiddataprepara-tionofalargenumberofcompletegenomes,automationandspeedareimpor-tantforgenomere-annotation.Hereweintroduceanopen-sourcerapidgenomere-annotationsoftwaresystem,Restauro-G,specializedforbacterialgenomes.Restauro-Gre-annotatesagenomebysimilaritysearchesutilizingtheBLAST-LikeAlignmentTool,referringtoproteindatabasessuchasUniProtKB,NCBInr,NCBICOGs,Pfam,andPSORTb.Re-annotationbyRestauro-Gachievedover98%accuracyformostbacterialchromosomesincomparisonwiththeoriginalmanuallycuratedannotationofEMBLreleases.Restauro-GwasdevelopedinthegenericbioinformaticsworkbenchG-languageGenomeAnalysisEnvironmentandisdistributedathttp://restauro-g.iab.keio.ac.jp/undertheGNUGeneralPublicLicense.
简介:目的:分析同源异型盒基因B7(HomeoboxB7,HOXB7)在人胃癌组织中的表达情况,并探讨HOXB7的表达与胃癌患者临床病理特征和预后的关系。方法:收集行手术切除的胃癌组织及对应癌旁组织共120例,采用实时定量PCR(qRT—PCR)技术、蛋白印迹(Westernblot)和免疫组化染色分别检测HOXB7mRNA水平及蛋白水平在胃癌及对应癌旁组织中的表达,通过卡方检验分析HOXB7表达水平与胃癌患者临床病理因素间的相关性,采用单因素及多因素Cox回归模型评估HOXB7在胃癌风险评估中的作用,Kaplan-Meier生存曲线分析HOXB7表达水平与胃癌患者无瘤生存期和总生存期的关系。结果:胃癌组织中HOXB7mRNA和蛋白表达水平均显著高于对应癌旁组织(P〈0.05);HOXB7蛋白表达与肿瘤临床分期、浸润深度及淋巴结转移均具有显著相关性(P〈0.05),而与患者性别、年龄、分化程度及远处转移均无显著相关性(P〉0.05)。单因素和多因素Cox分析提示HOXB7可以作为评估胃癌患者预后的独立风险因素。Kaplan-Meier生存分析结果显示高表达HOXB7的胃癌患者无瘤生存时间和总生存时间均显著低于HOXB7低表达患者组(P〈0.01)。结论:HOXB7蛋白在胃癌组织中高表达,并与胃癌的恶性表型有关,可能参与胃癌发生及恶性进展过程,可作为判断胃癌患预后的重要参考指标。
简介:利用HPLC法对长白山地区分布的7种鹅膏属真菌成熟子实体中的α-鹅膏毒肽(α-amanitin)、β-鹅膏毒肽(β-amanitin)和鬼笔毒肽(phalloidin)的含量进行了测定.结果表明:芥橙黄鹅膏(Amanitasubjunquillea)和橙黄鹅膏(Amanitaaff.citrina)中均含有3种毒素,其中芥橙黄鹅膏的α-鹅膏毒肽含量为2395.91μg/g、β-鹅膏毒肽含量为1653.75μg/g和鬼笔毒肽含量为405.26μg/g;橙黄鹅膏的分别为1121μg/g、4244μg/g和9442μg/g.芥橙黄鹅膏白色变种(Amanitasubjunquilleavar.abla)中含有β-鹅膏毒肽,其含量为614.00μg/g.其他5种鹅膏中均未检测到上述3种毒素.
简介:heterotrimericguanine核苷酸绑定蛋白质(G蛋白质)被表明了各种各样的发信号调停在植物的小径。然而,它在发信号的phytochromeA(phyA)的角色留下逃犯。在这研究,我们发现新调停phyA的显型指明了far-red照耀(FR)preconditioned房间死亡,它仅仅在跟随暴露到白光(WL)的FR-grown幼苗的胚轴发生。房间死亡在G变异的gpa1被减轻,但是与野类型(WT)比较在G变异的agb1加重了,在调停phyA的房间死亡小径的GPA1和AGB1的对抗角色的陈述语气。进一步的调查显示nonphotoconvertibleprotochlorophyllide(Pchlide633)的导致FR的累积,在暴露上产生反应的氧种类(ROS)到WL,为前提FR的房间死亡被要求。而且,ROS主要在叶绿体被检测用荧光灯探查。有趣地,到黑暗成年的幼苗的H2O2的申请导致类似于前提FR的房间死亡的显型。这表明ROS是为房间死亡的一个批评调停人。另外,我们观察到agb1比WT幼苗对H2O2更敏感,显示G蛋白质可以也修改到ROS应力的幼苗的敏感。一起拿这些结果,我们推断G蛋白质可以涉及表明小径调整Arabidopsis胚轴的前提FR的房间死亡的phyA。在phyA位于G蛋白质的参与下面发信号的可能的机制在这研究被讨论。
简介:Thestudyofsmalldrugmoleculesinteractingwithnucleicacidsisanareaofintenseresearchthathasparticularrelevanceinourunderstandingofrelativemechanisminchemotherapeuticapplicationsandtheassociationbetweengenetics(includingsequencevariation)anddrugresponse.Inthiscontribution,wedemonstratehowthesequence-specificbindingofananticancerdrugDacarbazine(DTIC)tosinglebase(A-G)mismatchcouldbesensitivelydetectedbycombiningelectrochemicaldetectionwithbiosensingsurfacebasedongoldnanoparticles.
简介:UnderstandingthecouplingspecificitybetweenGprotein-coupledreceptors(GPCRs)andspecificclassesofGproteinsisimportantforfurtherelucidationofreceptorfunctionswithinacell.IncreasinginformationonGPCRsequencesandtheGproteinfamilywouldfacilitatepredictionofthecouplingpropertiesofGPCRs.Inthisstudy,wedescribeanovelapproachforpredictingthecouplingspecificitybetweenGPCRsandGproteins.ThismethodusesnotonlyGPCRsequencesbutalsothefunctionalknowledgegeneratedbynaturallanguagepro-cessing,andcanachieve92.2%predictionaccuracybyusingtheC4.5algorithm.Furthermore,rulesrelatedtoGPCR-Gproteincouplingaregenerated.Thecom-binationofsequenceanalysisandtextminingimprovesthepredictionaccuracyforGPCR-Gproteincouplingspecificity,andalsoprovidescluesforunderstandingGPCRsignaling.
简介:AcomputationalsystemforthepredictionandclassificationofhumanG-proteincoupledreceptors(GPCRs)hasbeendevelopedbasedonthesupportvectormachine(SVM)methodandproteinsequenceinformation.ThefeaturevectorsusedtodeveloptheSVMpredictionmodelsconsistofstatisticallysignificantfeaturesselectedfromsingleaminoacid,dipeptide,andtripeptidecompositionsofproteinsequences.Furthermore,thelengthdistributiondifferencebetweenGPCRsandnon-GPCRshasalsobeenexploitedtoimprovethepredictionperformance.ThetestingresultswithannotatedhumanproteinsequencesdemonstratethatthissystemcangetgoodperformanceforbothpredictionandclassificationofhumanGPCRs.
简介:在这研究,我们描述从蚊子疟蚊属stephensi孤立的ribosomalproteinS7基因的部分genomic组织。开始558bp部分cDNAsequence作为长包含223bp的先锋信使rna顺序被放大intron。5''和3''结束序列用cDNA的特定的快速的扩大结束的结束(种族)被恢复聚合酶链反应。全身的cDNA顺序与能够长编码192氨基酸的一个开的读物框架长是914核苷酸有22174Da和pI的计算分子的质量的蛋白质点of9.94。蛋白质相同搜索揭示了>75%身份到另外的昆虫“sS7ribosomal蛋白质。顺序排列的分析揭示了几个高度保存的领域,其一个与原子本地化有关是人的rpS7的信号(NLS)区域。有趣地,有A的intron核苷酸顺序比较。gambiae作为与编码anduntranslated区域相比显示出保存的更小的度。象这一样,早在genomic组织和分析(EST)能在A的染色体注解帮助的cDNA/Expressedsequence标签上学习。stephensi,并且将可能以后被定序。
简介:G-proteincoupledreceptors(GPCRs)areaclassofseven-helixtransmembraneproteinsthathavebeenusedinbioinformaticsasthetargetstofacilitatedrugdiscoveryforhumandiseases.AlthoughthousandsofGPCRsequenceshavebeencollected,theligandspecificityofmanyGPCRsisstillunknownandonlyonecrystalstructureoftherhodopsin-likefamilyhasbeensolved.Therefore,identifyingGPCRtypesonlyfromsequencedatahasbecomeanimportantresearchissue.Inthisstudy,anoveltechniqueforidentifyingGPCRtypesbasedontheweightedLevenshteindistancebetweentworeceptorsequencesandthenearestneighbormethod(NNM)isintroduced,whichcandealwithreceptorsequenceswithdifferentlengthsdirectly.Inourexperimentsforclassifyingfourclasses(acetylcholine,adrenoceptor,dopamine,andserotonin)oftherhodopsin-likefamilyofGPCRs,theerrorratesfromtheleave-one-outprocedureandtheleave-half-outprocedurewere0.62%and1.24%,respectively.Theseresultsarepriortothoseofthecovariantdiscriminantalgorithm,thesupportvectormachinemethod,andtheNNMwithEuclideandistance.