简介：Proteomicsisthestudyofproteinsandtheirinteractionsinacell.WiththecompletionoftheHumanGenomeProject,theemphasisisshiftingtotheproteincomplimentofthehumanorganism.Becauseproteomereflectsmoreaccuratelyonthedynamicstateofacell,tissue,ororganism,muchisexpectedfromproteomicstoyieldbetterdiseasemarkersfordiagnosisandtherapymonitoring.Theadventofproteomicstechnologiesforglobaldetectionandquantitationofproteinscreatesnewopportunitiesandchallengesforthoseseekingtogaingreaterunderstandingofdiseases.High-throughputproteomicstechnologiescombiningwithadvancedbioinformaticsareextensivelyusedtoidentifymolecularsignaturesofdiseasesbasedonproteinpathwaysandsignalingcascades.Massspectrometryplaysavitalroleinproteomicsandhasbecomeanindispensabletoolformolecularandcellularbiology.Whilethepotentialisgreat,manychallengesandissuesremaintobesolved,suchasmininglowabundantproteinsandintegrationofproteomicswithgenomicsandmetabolomicsdata.Nevertheless,proteomicsisthefoundationforconstructingandextractingusefulknowledgetobiomedicalresearch.Inthisreview,asnapshotofcontemporaryissuesinproteomicstechnologiesisdiscussed.

简介：Tumormetastasisisthedominantcauseofdeathincancerpatients.However,themolecularandcellularmechanismsunderlyingtumormetastasisarestillelusive.Theidentificationofproteinmoleculeswiththeirexpressionscorrelatedtothemetastaticprocesswouldhelptounderstandthemetastaticmechanismsandthusfacilitatethedevelopmentofstrategiesforthetherapeuticinterventionsandclinicalmanagementofcancer.Proteomicsisasystematicresearchapproachaimingtoprovidetheglobalcharacterizationofproteinexpressionandfunctionundergivenconditions.Proteomictechnologyhasbeenwidelyusedinbiomarkerdiscoveryandpathogeneticstudiesincludingtumormetastasis.Thisarticleprovidesabriefreviewoftheapplicationofproteomicsinidentifyingmolecularfactorsintumormetastasisprocess.Thecombinationofproteomicswithotherexperimentalapproachesinbiochemistry,cellbiology,moleculargeneticsandchemistry,togetherwiththedevelopmentofnewtechnologiesandimprovementsinexistingmethodologieswillcontinuetoextenditsapplicationinstudyingcancermetastasis.

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简介：瞄准：为了孤立并且识别差别，由二维的电气泳动(2-DE)和帮助矩阵的激光解吸附作用/电离time-of-flight团分光术(MALDI-TOF-MS)表示了在癌症和胃的癌症的正常纸巾之间的蛋白质。方法：胃的癌症纸巾和配对的正常纸巾的可溶的部分蛋白质被2-DE分开。差别表示了蛋白质被MALDI-TOF-MS和数据库搜索选择并且识别。结果：有高分辨率和重制度的2-DE侧面被获得。23个蛋白质点从染色胶化的裂片被切除并且由胰岛素，十五个蛋白质点成功地在被识别在胶化消化了。在识别蛋白质之中，有十过去表示并且在胃癌症纸巾的五下面表示的蛋白质与正常纸巾相比。结论：在这研究，人的胃的癌症织物和配对的正常织物的解决得好的、可再现的2-DE模式被建立并且优化并且某些表示差别的蛋白质被识别。2-DE和MS的联合使用提供一条有效途径为潜在的肿瘤标记屏蔽。

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简介：Objective:TodetectdifferentialproteinexpressioninmalignantandnormallivercelllinesinvitrousingtheSELDIProteinChipplatform,forinvestigatingthepathogenesisoflivercancer.Methods:Twocelllines,humannormallivercelllineL02andhepatomacelllineSMMC-7721wereculturedroutinely,harvestedingoodconditionandlysed.Afterquantification,thesupernatantofthelysatewastestedbyIMAC3(ImmobilizedMentalAffinityCapture)andWCX2(WeakCationExchange)chipsontheSELDI-TOF-MSProteinChipreader.Results:Proteinexpressiondifferedbetweenthemalignantandnormallivercelllines.Atotalof20differentiallyexpressedproteinswerefound,amongwhich,7werecapturedbytheIMAC3chipand14bytheWCX2chip.Peaksat5,419,7,979and11,265Dawerehigherandat8,103,8,492,10,160and11,304DalowerinSMMC-7721cellsbytheIMAC3chip;peaksat7,517,7,945and7,979Dawerehigherandat5,061,5,551,5,818,7,439,9,401,10,100,10,312,11,621,11,662,11,830and12,772DalowerinSMMC-7721cellsbytheWCX2chip.Interestingly,bothchipscapturedthe7,979Dapeak.Inaddition,the11,081DapeakcorrespondedpreciselywiththemolecularmassofthecalciumbindingproteinS100A10,whichmayparticipateintheformationoflivercancerinassociationwithp36.Conclusion:DetectingdifferentialproteinexpressioninmalignantandnormallivercelllinesusingtheSELDIProteinChipplatformwassimple,sensitiveandrepeatable.Theresultsweobtainedcanserveasabasisforinvestigatingthepathogenesisoflivercancerandaidthediscoveryofnewtherapeutictargets.

简介：AbstractSclerotinia sclerotiorum (Lib.) de Bary is a necrotrophic plant pathogen that causes cottony rot, watery soft rot, stem rot, white mold, and other disease symptoms in over 700 plant hosts around the world. Destruction of economically important crops, the lack of resistant cultivars, and the general challenge of controlling diseases caused by this broad-based pathogen call for continued research. However, in recent years, mass spectrometry-based proteomics analyses have been used to acquire a fundamental and in-depth molecular understanding of this fungal pathogen. In this review, we describe the characteristics of the Sclerotinia sclerotiorum pathogen and examine its virulence factors, secreted proteins, and host suppression mechanisms. Furthermore, we review recent proteomics studies and extrapolate their primary findings for the identification and functional characterization of Sclerotinia sclerotiorum proteins. Finally, we discuss key findings that shape the understanding of the virulent factors and pathogenesis of Sclerotinia sclerotiorum and outline directions for future proteomic investigations of plant pathogens.

简介：流行性感冒A病毒(H1N1)2009，一个新猪起源流行性感冒A病毒，世界范围地被散布了并且引起了大公共害怕。高产量的transcriptomics和proteomics方法现在正在被使用识别H1N1和H1N1主人相互作用。这篇文章在H1N1诊断，处理，和H1N1病毒主人相互作用考察最近的transcriptomics和proteomics研究，到为进一步理解感染机制并且控制H1N1传播提供一些帮助。

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简介：Theinsectmidgutepitheliumiscomposedofcolumnar,goblet,andregenerativecells.Columnarepithelialcellsarethemostabundantandhavemembraneprotrusionsthatformthebrushbordermembrane(BBM)ontheirapicalside.Theseincreasesurfaceareaavailableforthetransportofnutrients,butalsoprovideopportunitiesforinteractionwithxenobioticssuchaspathogens,toxinsandhostplantallelochemicals.RecentimprovementsinproteomicandbioinfbrmaticstoolsprovidedanopportunitytodeterminetheproteomeoftheT.niBBMinunprecedenteddetail.ThisstudyreportstheidentificationofproteinsfromBBMvesicles(BBMVs)usingsingledimensionpolyacrylamidegelelec?trophoresiscoupledwithmulti-dimensionalproteinidentificationtechnology.Morethan3000proteinswereassociatedwiththeBBMVofwhich697werepredictedtopossesseitherasignalpeptide,atleastonetransmembranedomainoraGPI-anchorsignal.Ofthese,bioinfbrmaticsanalysisandmanualcurationpredictedthat185maybeassociatedwiththeBBMVorepithelialcellplasmamembrane.Thesearediscussedwithrespecttotheirpredictedfunctions,namelydigestion,nutrientuptake,cellsignaling,development,cell-cellinteractions,andotherfunctions.Webelievethistobethemostdetailedproteomicanalysisofthelepidopteranmidgutepitheliummembranetodate,whichwillprovideinformationtobetterunderstandthebiochemical,physiologicalandpathologicalprocessestakingplaceinthelarvalmidgut.

简介：AbstractBackground:Pulmonary fibrosis is a respiratory disease caused by the proliferation of fibroblasts and accumulation of the extracellular matrix (ECM). It is known that the lung ECM is mainly composed of a three-dimensional fiber mesh filled with various high-molecular-weight proteins. However, the small-molecular-weight proteins in the lung ECM and their differences between normal and fibrotic lung ECM are largely unknown.Methods:Healthy adult male Sprague-Dawley rats (Rattus norvegicus) weighing about 150 to 200 g were randomly divided into three groups using random number table: A, B, and C and each group contained five rats. The rats in Group A were administered a single intragastric (i.g.) dose of 500 μL of saline as control, and those in Groups B and C were administered a single i.g. dose of paraquat (PQ) dissolved in 500 μL of saline (20 mg/kg). After 2 weeks, the lungs of rats in Group B were harvested for histological observation, preparation of de-cellularized lung scaffolds, and proteomic analysis for small-molecular-weight proteins, and similar procedures were performed on Group C and A after 4 weeks. The differentially expressed small-molecular-weight proteins (DESMPs) between different groups and the subcellular locations were analyzed.Results:Of the 1626 small-molecular-weight proteins identified, 1047 were quantifiable. There were 97 up-regulated and 45 downregulated proteins in B vs. A, 274 up-regulated and 31 down-regulated proteins in C vs. A, and 237 up-regulated and 28 downregulated proteins identified in C vs. B. Both the up-regulated and down-regulated proteins in the three comparisons were mainly distributed in single-organism processes and cellular processes within biological process, cell and organelle within cellular component, and binding within molecular function. Further, more up-regulated than down-regulated proteins were identified in most sub-cellular locations. The interactions of DESMPs identified in extracellular location in all comparisons showed that serum albumin (Alb) harbored the highest degree of node (25), followed by prolyl 4-hydroxylase beta polypeptide (12), integrin β1 (10), apolipoprotein A1 (9), and fibrinogen gamma chain (9).Conclusions:Numerous PQ-induced DESMPs were identified in de-cellularized lungs of rats by high throughput proteomics analysis. The DESMPs between the control and treatment groups showed diversity in molecular functions, biological processes, and pathways. In addition, the interactions of extracellular DESMPs suggested that the extracellular proteins Alb, Itgb1, Apoa1, P4hb, and Fgg in ECM could be potentially used as biomarker candidates for pulmonary fibrosis. These results provided useful information and new insights regarding pulmonary fibrosis.