简介：Thereareabout17chromosomesinyeastSaccharomycescerevisiae.Amiddlesizedchromosome,chromosomeV,waschoseninthisworkforstudyingandconstructingthephysi-calmaps.ChromosomeVfromstrainA364awasisolatedbypulsed-fieldgradientgelelectrophoresis(PFGE).GelslicescontainingchromosomeVDNAweredigestedwithtworarecuttingenzymes,NotⅠandSfiⅠ,andthree6-Ntrecognizingenzymes,SmaⅠ,SstⅡandApaⅠ.Severalstrategies-partialorcompletedigestions,digestionwithdifferentsetsoftwoenzymes,andhybrid-izationwithclonedgeneticallymappedprobes(CAN1,URA3,CEN5,PRO3,CHO1,SUP19,RAD51,RAD3)——wereusedtoaligntherestrictionfragments.Thereare9,9,15,17,and20sitesforNotⅠ,SfiⅠ,SmaⅠ,SstⅡandApaⅠrespectivelyinthemapoftheA364achromosomeV.Itstotallengthwascalculatedtobe620Kb(Kilo-bases).Thedistributionsofthecuttingsitesforthesefiveenzymesthroughthewholechromosomearenotuniform.Acomp-arisonbetweenthephysicalmapandthegeneticmapwasalsomade.

简介：Microarrayhasbecomeapopularbiotechnologyinbiologicalandmedicalresearch.However,systematicandstochasticvariabilitiesinmicroarraydataareexpectedandunavoidable,resultingintheproblemthattherawmeasurementshaveinherent"noise"withinmicroarrayexperiments.Currently,logarithmicratiosareusuallyanalyzedbyvariousclusteringmethodsdirectly,whichmayintroducebiasinterpretationinidentifyinggroupsofgenesorsamples.Inthispaper,astatisticalmethodbasedonmixedmodelapproacheswasproposedformicroarraydataclusteranalysis.TheunderlyingrationaleofthismethodistopartitiontheobservedtotalgeneexpressionlevelintovariousvariationscausedbydifferentfactorsusinganANOVAmodel,andtopredictthedifferentialeffectsofGV(genebyvariety)interactionusingtheadjustedunbiasedprediction(AUP)method.ThepredictedGVinteractioneffectscanthenbeusedastheinputsofclusteranalysis.Weillustratedtheapplicationofourmethodwithageneexpressiondatasetandelucidatedtheutilityofourapproachusinganexternalvalidation.

简介：Threetypesofroughsurfacewereprocessedbylaserirradiationonthe3Cr2W8Vmaterialhot-workdiesteelsurface.Thewearexperimentswithsmoothsurfaceandroughsurfacesampleswererepeatedonthepin-traywearmachine.Accordingtothewearresults,westudiedtheregularityofwearresistanceofdifferentroughsurfacesamples.Theresultsindicatedthatbionicroughsurfacecanimprovethewearresistanceofthematerialandthewearresistancecanbeincreased1-2times,comparedwiththesmoothsurface.Also,thewearresistanceoftheroughsurfacewasaffectedbylasercurrentanddurationofimpulse.Thebiggerthelasercurrentortheimpulseduration,thebetteristhewearresistance.Whenthedistancebetweenthesamekindofunitswhicharedistributedonthesurfacesischanged,thewearresistancechanges.Thewearresistanceofabionicroughsurfaceonwhichthegridunitsweredistributedatspacingof1mmwasthebest.Andwedesignedthewearmodels.

简介：目的研究体外培养的牛子宫上皮细胞内整合素αvβ3基因诱导差异表达的变化,以期为探究牛子宫容受态的标志蛋白提供参考。方法运用RT-PCR方法分析不同浓度雌激素、孕激素以及雌、孕激素协同作用对牛子宫内膜上皮细胞中整合素αvβ3的诱导表达变化情况。结果单独添加孕激素10^-7mg/mL时,整合素αvβ3表达量均最高,10^-7mg/mL组内αv和β3的表达量均显著高于对照组（P〈0.05）。单独添加雌激素10^-10mg/mL组,αv的表达量最高,而β3的表达量最低。协同添加雌、孕激素组中,整合素αvβ3的表达量均高于对照组,其中αv的表达量显著高于对照组（P〈0.05）;β3的表达量与对照组相比差异不显著（P〉0.05）。结论单独添加孕激素和协同使用雌、孕激素时,均可以促进牛子宫内膜上皮细胞中整合素αvβ3的mRNA表达量上升;单独添加雌激素的作用则与之相反。由此,整合素αvβ3在＂种植窗＂期的牛子宫内膜上皮中可作为一个潜在的子宫容受态参考标志基因。