scholarly journals Identification of potential key genes associated with glioblastoma based on the gene expression profile

2017 ◽  
Vol 14 (2) ◽  
pp. 2045-2052 ◽  
Author(s):  
Lijuan Bo ◽  
Bo Wei ◽  
Chaohui Li ◽  
Zhanfeng Wang ◽  
Zheng Gao ◽  
...  
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.


2015 ◽  
Vol 12 (6) ◽  
pp. 7891-7898 ◽  
Author(s):  
XUDONG CHEN ◽  
CHENGFEI ZHENG ◽  
YUNJUN HE ◽  
LU TIAN ◽  
JIANHUI LI ◽  
...  

2009 ◽  
Author(s):  
Rachel Yehuda ◽  
Julia Golier ◽  
Sandro Galea ◽  
Marcus Ising ◽  
Florian Holsborer ◽  
...  

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