资源描述:
《生物谷推荐原文出处》由会员上传分享,免费在线阅读,更多相关内容在行业资料-天天文库。
1、生物谷推荐原文出处:Naturedoi:10.1038/nature09145Single-cellNF-κBdynamicsrevealdigitalactivationandanalogueinformationprocessingSava?Tay1,2,4,JacobJ.Hughey1,4,TimothyK.Lee1,TomaszLipniacki3,StephenR.Quake1,2&MarkusW.Covert1DepartmentofBioengineering,StanfordUniversity,Stanford,California
2、94305,USAHowardHughesMedicalInstitute,Stanford,California94305,USAInstituteofFundamentalTechnologicalResearch,Warsaw02-106,PolandCellsoperateindynamicenvironmentsusingextraordinarycommunicationcapabilitiesthatemergefromtheinteractionsofgeneticcircuitry.Themammalianimmunerespons
3、eisastrikingexampleofthecoordinationofdifferentcelltypes1.Cell-to-cellcommunicationisprimarilymediatedbysignallingmoleculesthatformspatiotemporalconcentrationgradients,requiringcellstorespondtoawiderangeofsignalintensities2.Hereweusehigh-throughputmicrofluidiccellculture3andflu
4、orescencemicroscopy,quantitativegeneexpressionanalysisandmathematicalmodellingtoinvestigatehowsinglemammaliancellsrespondtodifferentconcentrationsofthesignallingmoleculetumour-necrosisfactor(TNF)-α,andrelayinformationtothegeneexpressionprogramsbymeansofthetranscriptionfactornuc
5、learfactor(NF)-κB.WemeasuredNF-κBactivityinthousandsoflivecellsunderTNF-αdosescoveringfourordersofmagnitude.Wefind,incontrasttopopulation-levelstudieswithbulkassays2,thattheactivationisheterogeneousandisadigitalprocessatthesingle-celllevelwithfewercellsrespondingatlowerdoses.Ce
6、llsalsoencodeasubtlesetofanalogueparameterstomodulatetheoutcome;theseparametersincludeNF-κBpeakintensity,responsetimeandnumberofoscillations.Wedevelopedastochasticmathematicalmodelthatreproducesboththedigitalandanaloguedynamicsaswellasmostgeneexpressionprofilesatallmeasuredcond
7、itions,constitutingabroadlyapplicablemodelforTNF-α-inducedNF-κBsignallinginvarioustypesofcells.Theseresultshighlightthevalueofhigh-throughputquantitativemeasurementswithsingle-cellresolutioninunderstandinghowbiologicalsystemsoperate.Nature:同类型细胞会对刺激产生不同应答反应[日期:2010-10-12]来源: 作者
8、:[字体:大中小]专题:Nature系列生物谷讯斯坦福大学的研究人员使用一种新技术观察单一细胞在细胞信号复杂