scholarly journals Identification of Novel Small RNAs and Characterization of the 6S RNA of Coxiella burnetii

PLoS ONE ◽  
2014 ◽  
Vol 9 (6) ◽  
pp. e100147 ◽  
Author(s):  
Indu Warrier ◽  
Linda D. Hicks ◽  
James M. Battisti ◽  
Rahul Raghavan ◽  
Michael F. Minnick
Keyword(s):  
Author(s):  
Xiaoyuan Zhang ◽  
Yiping Li ◽  
Yunbin Zhang ◽  
Shifeng Li
Keyword(s):  

2006 ◽  
Vol 20 (13) ◽  
pp. 1732-1743 ◽  
Author(s):  
Toshiaki Watanabe ◽  
Atsushi Takeda ◽  
Tomoyuki Tsukiyama ◽  
Kazuyuki Mise ◽  
Tetsuro Okuno ◽  
...  

2018 ◽  
Vol 11 (1) ◽  
Author(s):  
Simbarashe Chitanga ◽  
Edgar Simulundu ◽  
Martin C. Simuunza ◽  
Katendi Changula ◽  
Yongjin Qiu ◽  
...  

1983 ◽  
Vol 41 (2) ◽  
pp. 488-493 ◽  
Author(s):  
J E Samuel ◽  
M E Frazier ◽  
M L Kahn ◽  
L S Thomashow ◽  
L P Mallavia

mSphere ◽  
2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Alisa M. King ◽  
Carin K. Vanderpool ◽  
Patrick H. Degnan

Small RNAs (sRNAs) regulate gene expression in diverse bacteria by interacting with mRNAs to change their structure, stability, or translation. Hundreds of sRNAs have been identified in bacteria, but characterization of their regulatory functions is limited by difficulty with sensitive and accurate identification of mRNA targets. Thus, new robust methods of bacterial sRNA target identification are in demand. Here, we describe our small RNA target prediction organizing tool (SPOT), which streamlines the process of sRNA target prediction by providing a single pipeline that combines available computational prediction tools with customizable results filtering based on experimental data. SPOT allows the user to rapidly produce a prioritized list of predicted sRNA-target mRNA interactions that serves as a basis for further experimental characterization. This tool will facilitate elucidation of sRNA regulons in bacteria, allowing new discoveries regarding the roles of sRNAs in bacterial stress responses and metabolic regulation.


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