Identification of key genes in prostate cancer gene expression profile by bioinformatics

Andrologia ◽  
2018 ◽  
Vol 51 (1) ◽  
pp. e13169 ◽  
Author(s):  
Wenzong Lu ◽  
Zhe Ding
2012 ◽  
Vol 03 (05) ◽  
pp. 637-644
Author(s):  
Maxwell Omabe ◽  
Joel C. Onyeanusi ◽  
Nworie Amos ◽  
Martin Ezeani ◽  
Simon Imakwu Okekpa

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Adelino Soares Lima Neto ◽  
Osvaldo Pompílio de Melo Neto ◽  
Carlos Henrique Nery Costa

This study describes the application of the LongSAGE methodology to study the gene expression profile in promastigotes ofLeishmania infantum chagasi. A tag library was created using the LongSAGE method and consisted of 14,208 tags of 17 bases. Of these, 8,427 (59.3%) were distinct. BLAST research of the 1,645 most abundant tags showed that 12.8% of them identified the coding sequences of genes, while 82% (1,349/1,645) identified one or more genomic sequences that did not correspond with open reading frames. Only 5.2% (84/1,645) of the tags were not aligned to any position in theL. infantum genome. The UTR size ofLeishmaniaand the lack of CATG sites in some transcripts were decisive for the generation of tags in these regions. Additional analysis will allow a better understanding of the expression profile and discovering the key genes in this life cycle.


2010 ◽  
Author(s):  
Peter H. Killian ◽  
Emanuel Kronski ◽  
Valentina Mirisola ◽  
Ulrich Pfeffer ◽  
Andreas G. Nerlich ◽  
...  

2016 ◽  
Vol 17 (3) ◽  
pp. 353-358 ◽  
Author(s):  
Shirin Shahbazi ◽  
Maryam Khorasani ◽  
Reza Mahdian

Sign in / Sign up

Export Citation Format

Share Document