Title |
What RNAi screens in model organisms revealed about microbicidal response in mammals?
|
---|---|
Published in |
Frontiers in Cellular and Infection Microbiology, January 2015
|
DOI | 10.3389/fcimb.2014.00184 |
Pubmed ID | |
Authors |
Prasad Abnave, Filippo Conti, Cedric Torre, Eric Ghigo |
Abstract |
The strategies evolved by pathogens to infect hosts and the mechanisms used by the host to eliminate intruders are highly complex. Because several biological pathways and processes are conserved across model organisms, these organisms have been used for many years to elucidate and understand the mechanisms of the host-pathogen relationship and particularly to unravel the molecular processes enacted by the host to kill pathogens. The emergence of RNA interference (RNAi) and the ability to apply it toward studies in model organisms have allowed a breakthrough in the elucidation of host-pathogen interactions. The aim of this mini-review is to highlight and describe recent breakthroughs in the field of host-pathogen interactions using RNAi screens of model organisms. We will focus specifically on the model organisms Drosophila melanogaster, Caenorhabditis elegans, and Danio rerio. Moreover, a recent study examining the immune system of planarian will be discussed. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 29% |
France | 2 | 29% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 86% |
Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 4% |
Unknown | 27 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 21% |
Student > Ph. D. Student | 5 | 18% |
Student > Bachelor | 4 | 14% |
Professor > Associate Professor | 4 | 14% |
Lecturer | 2 | 7% |
Other | 5 | 18% |
Unknown | 2 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 16 | 57% |
Biochemistry, Genetics and Molecular Biology | 5 | 18% |
Business, Management and Accounting | 1 | 4% |
Computer Science | 1 | 4% |
Materials Science | 1 | 4% |
Other | 1 | 4% |
Unknown | 3 | 11% |