Interaction between Yersinia pestis and the Host Immune System-Reference-Cited by-同舟云学术

Interaction between Yersinia pestis and the Host Immune System

Published:2008-05 Issue:5 Volume:76 Page:1804-1811
ISSN:0019-9567
Container-title:Infection and Immunity
language:en
Short-container-title:Infect Immun

Author:

Li Bei¹,Yang Ruifu¹

Affiliation:

1. Laboratory of Analytical Microbiology, State Key Laboratory of Pathogen and Biosecurity, Institute of Microbiology and Epidemiology, Beijing 100071, China

Publisher

American Society for Microbiology

Subject

Infectious Diseases,Immunology,Microbiology,Parasitology

Link

https://journals.asm.org/doi/pdf/10.1128/IAI.01517-07

Reference97 articles.

1. Aepfelbacher, M., and J. Heesemann. 2001. Modulation of Rho GTPases and the actin cytoskeleton by Yersinia outer proteins (Yops). Int. J. Med. Microbiol.291:269-276.

2. Aepfelbacher, M., R. Zumbihl, and J. Heesemann. 2005. Modulation of Rho GTPases and the actin cytoskeleton by YopT of Yersinia. Curr. Top. Microbiol. Immunol.291:167-175.

3. Pathogen Recognition and Innate Immunity

4. Alonso, A., N. Bottini, S. Bruckner, S. Rahmouni, S. Williams, S. P. Schoenberger, and T. Mustelin. 2004. Lck dephosphorylation at Tyr-394 and inhibition of T-cell antigen receptor signaling by Yersinia phosphatase YopH. J. Biol. Chem.279:4922-4928.

5. Recombinant V antigen protects mice against pneumonic and bubonic plague caused by F1-capsule-positive and -negative strains of Yersinia pestis

Cited by 48 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The polymer and materials science of the bacterial fimbriae Caf1;Biomaterials Science;2023

2. Plague;Textbook of Zoonoses;2022-07

3. Unraveling the molecular determinants of the anti-phagocytic protein cloak of plague bacteria;PLOS Pathogens;2022-03-31

4. Annotation of Potential Vaccine Targets and Design of a Multi-Epitope Subunit Vaccine against Yersinia pestis through Reverse Vaccinology and Validation through an Agent-Based Modeling Approach;Vaccines;2021-11-15

5. Predicting Interactions Between Pathogen and Human Proteins Based on the Relation Between Sequence Length and Amino Acid Composition;Current Bioinformatics;2021-09-14