简介：MicroRNAs(miRNAs)通常包含19-24核苷酸并且作为重要真核细胞的基因管理者被识别了。各种各样的计算途径的应用由从可得到的顺序数据来源预言miRNAs简化了这项任务。在这研究，我们从从Steviarebaudiana可得到的EST顺序数据的计算分析识别了保存miR414。另外，我们也也就是识别了六保存miRNAs用茎环RT-PCR分析的miR169，miR319，miR414，miR164，miR167和miR398。因此，miR414通常用两个方法被识别。这些miRNAs的表达式分析在Stevia的生长和开发记录了他们的角色。而且，检测miRNAs被发现指向涉及植物生长，开发，新陈代谢和信号transduction的基因。这是在Stevia报导这些保存miRNAs和他们的表示的第一研究。

简介：Circulargenomes,beingthelargestproportionofsequencedgenomes,playanimportantroleingenomeanalysis.However,traditional2Dcircularmaponlyprovidesanoverviewandannotationsofgenomebutdoesnotofferfeature-basedcomparison.Forremedyingtheseshortcomings,wedeveloped3DGenomeTuner,ahybridofcircularmapandcomparativemaptools.Itscapabilityofviewingcomparisonsbetweenmultiplecircularmapsina3Dspaceoffersgreatbenefitstothestudyofcomparativegenomics.Theprogramisfreelyavailable(underanLGPLlicence)athttp://sourceforge.net/projects/dgenometuner.

简介：~~

简介：~~

简介：Ithasbeenshownthattheprogressinthedeterminationofmembraneproteinstructuregrowsexponentially,withapproximatelythesamegrowthrateasthatofthewater-solubleproteins.Inordertoinvestigatetheeffectofthis,ontheperformanceofpredictionalgorithmsforbothα-helicalandβ-barrelmembraneproteins,weconductedaprospectivestudybasedonhistoricalrecords.WetrainedseparatehiddenMarkovmodelswithdifferentsizedtrainingsetsandevaluatedtheirperformanceontopologypredictionforthetwoclassesoftransmembraneproteins.Weshowthattheexistingtop-scoringalgorithmsforpredictingthetransmembranesegmentsofα-helicalmembraneproteinsperformslightlybetterthanthatofβ-barreloutermembraneproteinsinallmeasuresofaccuracy.Withthesamerationale,ameta-analysisoftheperformanceofthesecondarystructurepredictionalgorithmsindicatesthatexistingalgorithmictechniquescannotbefurtherimprovedbyjustaddingmorenon-homologoussequencestothetrainingsets.Theupperlimitforsecondarystructurepredictionisestimatedtobenomorethan70%and80%ofcorrectlypredictedresiduesforsinglesequencebasedmethodsandmultiplesequencebasedones,respectively.Therefore,weshouldconcentrateoureffortsonutilizingnewtechniquesforthedevelopmentofevenbetterscoringpredictors.

简介：Werecentlyreportedtheuseofagene-trappingapproachtoisolatecellclonesinwhichareportergenehadintegratedintogenesmodulatedbyT-cellactivation.WehavenowtestedapanelofclonesfromthatreportandidentifiedtheonethatrespondstoavarietyofG-proteincoupledreceptors(GPCR).TheβlactamasetaggedEGR-3JurkatcellwasusedtodissectspecificGPCRsignalinginvivo.ThreeGPCRswerestudied,includingthechemokinereceptorCXCR4(Gicoupled)thatwasendogenouslyexpressed,theplateletactivationfactor(PAF)receptor(Gq-coupled),andβ2adrenergicreceptor(Gs-coupled)thatwasbothstablytransfected.Agonistsforeachreceptoractivatedtranscriptionoftheβ-lactamasetaggedEGR-3gene.InductionofEGR-3throughCXCR4wasblockedbypertussistoxinandPD58059,aspecificinhibitorofMEK(MAPK/ERKkinase).NeitheroftheseinhibitorsblockedisoproterenolorPAF-mediatedactivationofEGR-3.Conversely,β2-andPAF-mediatedEGR-3activationwasblockedbythep38,specificinhibitorSB580.Inaddition,bothβ2-andPAF-mediatedEGR-3activationcouldbesynergisticallyactivatedbyCXCR4activation.ThiscombinedresultindicatesthatEGR-3canbeactivatedthroughdistinctsignaltransductionpathwaysbydifferentGPCRsandthatsignalscanbeintegratedandamplifiedtoefficientlytunethelevelofactivation.