Quantitative analysis of the intramacrophagic Brucella suis proteome reveals metabolic adaptation to late stage of cellular infection.
about
An atypical riboflavin pathway is essential for Brucella abortus virulenceBrucella cyclic β-1,2-glucan plays a critical role in the induction of splenomegaly in mice.Discordant Brucella melitensis antigens yield cognate CD8+ T cells in vivo.Large scale immune profiling of infected humans and goats reveals differential recognition of Brucella melitensis antigens.RegA Plays a Key Role in Oxygen-Dependent Establishment of Persistence and in Isocitrate Lyase Activity, a Critical Determinant of In vivo Brucella suis Pathogenicity.Differential phenotyping of Brucella species using a newly developed semi-automated metabolic system.Global analysis of quorum sensing targets in the intracellular pathogen Brucella melitensis 16 MBrucella abortus depends on pyruvate phosphate dikinase and malic enzyme but not on Fbp and GlpX fructose-1,6-bisphosphatases for full virulence in laboratory models.Active evasion of CTL mediated killing and low quality responding CD8+ T cells contribute to persistence of brucellosis.Evaluation of the effects of erythritol on gene expression in Brucella abortus.Quantitative analysis of the Brucella suis proteome reveals metabolic adaptation to long-term nutrient starvationSystems biology approach predicts antibody signature associated with Brucella melitensis infection in humans.Proteomic Profile of Brucella abortus-Infected Bovine Chorioallantoic Membrane Explants.Two-dimensional gel electrophoresis in bacterial proteomics.Global Rsh-dependent transcription profile of Brucella suis during stringent response unravels adaptation to nutrient starvation and cross-talk with other stress responses.PPARγ-mediated increase in glucose availability sustains chronic Brucella abortus infection in alternatively activated macrophages.Nondividing but metabolically active gamma-irradiated Brucella melitensis is protective against virulent B. melitensis challenge in mice.Proteomics as a probe of microbial pathogenesis and its molecular boundaries.Proteome analysis of host-pathogen interactions: Investigation of pathogen responses to the host cell environment.Brucella adaptation and survival at the crossroad of metabolism and virulence.Analyses of Brucella pathogenesis, host immunity, and vaccine targets using systems biology and bioinformatics.Brucella, nitrogen and virulence.Brucella central carbon metabolism: an update.Host-Adaptation of Burkholderia pseudomallei Alters Metabolism and Virulence: a Global Proteome Analysis.Systems Biology Analysis of Temporal In vivo Brucella melitensis and Bovine Transcriptomes Predicts host:Pathogen Protein-Protein Interactions.Relative Quantitative Proteomic Analysis of Brucella abortus Reveals Metabolic Adaptation to Multiple Environmental Stresses.Model system based proteomics to understand the host response during bacterial infections.The Fast-Growing Brucella suis Biovar 5 Depends on Phosphoenolpyruvate Carboxykinase and Pyruvate Phosphate Dikinase but Not on Fbp and GlpX Fructose-1,6-Bisphosphatases or Isocitrate Lyase for Full Virulence in Laboratory Models.
P2860
Q27333975-1BC98D62-1238-418C-822D-8E9857A3E21FQ31169699-9F0D8F38-98B0-49FC-87E8-590E830FAE91Q33557772-716A6516-B8F8-4106-918C-5496329E2C95Q33573403-35ABA8E4-061F-4626-B360-B0592B6B6398Q33700813-C993B357-ECF1-4CEF-A296-784A4BC4DF4DQ33726282-5BF38809-BB46-44F4-ACDA-D69D705ADC58Q33894505-97CDDB89-B909-469B-958E-6B959B6968D5Q34056668-0AFFE6DF-BBFC-4AE4-A4DD-74A2B7894252Q34256236-57F4BE6F-6EA3-406C-AB7F-AEBE420EC0C0Q34525033-CEBFBC3D-01F7-4B89-A362-180D9D402BC1Q34979022-651B2149-A085-4F1F-9B6F-D9B581B80564Q35296643-0B4B3EB0-7D00-4E62-A2EB-C4551383A5B7Q35996766-DC8EF0A9-48A1-401F-8CA0-B9805FAE9DCFQ36923034-B5A52920-1ED2-4151-92C2-B47471EDD0C3Q37008662-73F95709-094B-42D9-B0C9-AFE803B2A868Q37184395-1439418F-4B02-4409-8D0E-522FE91906C2Q37410370-01342278-7962-425E-A2D4-0CA727FD8A92Q37689718-9E45618A-8A65-419D-9132-CA70EDCE4197Q37895209-6B1E5A55-FE61-4A1E-BE87-81EC1591203AQ37921865-25FA8C0D-ABCF-4C0E-AA7F-78C5553114ACQ38037536-EDEBDB9C-0D02-4A09-A2A9-81C86A75037BQ38282517-9C165D5A-D83E-432A-ACFE-345E87D34138Q38892749-4EFB5BA9-11E0-4DB2-BD9C-6E3B84991810Q40075999-424BB4E6-A823-4CFD-BD50-98F858AED597Q40097780-BF522EBA-161C-499C-80F4-55BFD839CB99Q46241808-0C352968-E7B5-46D1-8A65-6047C59DEE53Q47589617-97F18BA2-16A2-4EAC-8D28-D0C8044DF2F5Q53406266-80075515-2806-411B-ABFF-4033B253D81B
P2860
Quantitative analysis of the intramacrophagic Brucella suis proteome reveals metabolic adaptation to late stage of cellular infection.
description
2008 nî lūn-bûn
@nan
2008 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Quantitative analysis of the i ...... e stage of cellular infection.
@ast
Quantitative analysis of the i ...... e stage of cellular infection.
@en
type
label
Quantitative analysis of the i ...... e stage of cellular infection.
@ast
Quantitative analysis of the i ...... e stage of cellular infection.
@en
prefLabel
Quantitative analysis of the i ...... e stage of cellular infection.
@ast
Quantitative analysis of the i ...... e stage of cellular infection.
@en
P2093
P356
P1433
P1476
Quantitative analysis of the i ...... e stage of cellular infection.
@en
P2093
Heinrich Neubauer
Herbert Tomaso
Holger C Scholz
Stephan Köhler
Véronique Jubier-Maurin
Wolfram Karges
P304
P356
10.1002/PMIC.200800026
P577
2008-09-01T00:00:00Z