Editorial: Tick-Host-Pathogen Interactions
نویسندگان
چکیده
منابع مشابه
Tick-host-pathogen interactions in Lyme borreliosis.
Borrelia burgdorferi, the spirochetal agent of Lyme borreliosis, is predominantly transmitted by Ixodes ticks. Spirochetes have developed many strategies to adapt to the different environments that are present in the arthropod vector and the vertebrate host. This review focuses on B. burgdorferi genes that are preferentially expressed in the tick and the vertebrate host, and describes how selec...
متن کاملTick–Host–Pathogen Interactions: Conflict and Cooperation
1 SaBio, Instituto de Investigación en Recursos Cinegéticos IREC-CSIC-UCLM-JCCM, Ciudad Real, Spain, 2 Department of Veterinary Pathobiology, Center for Veterinary Health Sciences, Oklahoma State University, Stillwater, Oklahoma, United States of America, 3 Center for Infection and Immunity of Lille (CIIL), INSERMU1019–CNRS UMR 8204, Université Lille Nord de France, Institut Pasteur de Lille, L...
متن کاملEditorial: Computational Systems Biology of Pathogen-Host Interactions
Pathogen-Host Interactions (PHIs) play a significant role in the mechanisms of infections. Therefore, the investigation of infectionmechanisms through PHIs is a crucial step to develop novel and more effective solutions against drug-resistance and for personalized therapy. To this aim, systems biology approach considers the whole PHI system instead of focusing hosts or pathogens individually. C...
متن کاملTick Genome Assembled: New Opportunities for Research on Tick-Host-Pathogen Interactions
As tick-borne diseases are on the rise, an international effort resulted in the sequence and assembly of the first genome of a tick vector. This result promotes research on comparative, functional and evolutionary genomics and the study of tick-host-pathogen interactions to improve human, animal and ecosystem health on a global scale.
متن کاملMining Host-Pathogen Interactions
containing HPI information and another abstract that does not. Using a training set of pre-annotated abstracts, the system can then learn how to efficiently discriminate between these two abstract types. Moreover, the same characteristic features can be calculated for the individual sentences in the abstract. Thus, we can use the same supervised-learning approach to solve Tasks 1 and 2. Finally...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Cellular and Infection Microbiology
سال: 2018
ISSN: 2235-2988
DOI: 10.3389/fcimb.2018.00194