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Methods to Study Legionella Transcriptome In Vitro and In Vivo
The study of transcriptome responses can provide insight into the regulatory pathways and genetic factors that contribute to a specific phenotype. For bacterial pathogens, it can identify putative new virulence systems and shed light on the mechanisms underlying the regulation of virulence factors. Microarrays have been previously used to study gene regulation in Legionella pneumophila. In the past few years a sharp reduction of the costs associated with microarray experiments together with the availability of relatively inexpensive custom-designed commercial microarrays has made microarray technology an accessible tool fo...
Source: Springer protocols feed by Infectious Diseases - February 1, 2013 Category: Infectious Diseases Source Type: news

Co-immunoprecipitation: Protein–RNA and Protein–DNA Interaction
Transcriptional and posttranscriptional regulators play a critical role in allowing a bacterium to adapt to the diverse environments and conditions it encounters. In order to characterize the role of these regulators the identification of their specific interaction partners is of utmost importance. Co-immunoprecipitation (IP) is based on antigen/antibody complex formation to purify a protein of interest from the rest of the samples together with its interaction partner. This method allows us to study direct interaction of a regulator with its specific binding partners like protein–RNA, protein–DNA, or protein&n...
Source: Springer protocols feed by Infectious Diseases - February 1, 2013 Category: Infectious Diseases Source Type: news

Identification of Legionella Effectors Using Bioinformatic Approaches
Legionella pneumophila the causative agent of Legionnaires’ disease, actively manipulates host cell processes to establish a replication niche inside host cells. The establishment of its replication niche requires a functional Icm/Dot type IV secretion system which translocates about 300 effector proteins into host cells during infection. Many of these effectors were first identified as effector candidates by several bioinformatic approaches, and these predicted effectors were later examined experimentally for translocation and a large number of which were validated as effector proteins. Here, I summarized the bioinf...
Source: Springer protocols feed by Infectious Diseases - February 1, 2013 Category: Infectious Diseases Source Type: news