Article (Scientific journals)
Transcriptome-wide analysis of natural antisense transcripts shows their potential role in breast cancer.
Wenric, Stéphane; ElGuendi, Sonia; CABERG, Jean-Hubert et al.
2017In Scientific Reports, 7 (1), p. 17452
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Abstract :
[en] Non-coding RNAs (ncRNA) represent 1/5 of the mammalian transcript number, and 90% of the genome length is transcribed. Many ncRNAs play a role in cancer. Among them, non-coding natural antisense transcripts (ncNAT) are RNA sequences that are complementary and overlapping to those of either protein-coding (PCT) or non-coding transcripts. Several ncNATs were described as regulating protein coding gene expression on the same loci, and they are expected to act more frequently in cis compared to other ncRNAs that commonly function in trans. In this work, 22 breast cancers expressing estrogen receptors and their paired adjacent non-malignant tissues were analyzed by strand-specific RNA sequencing. To highlight ncNATs potentially playing a role in protein coding gene regulations that occur in breast cancer, three different data analysis methods were used: differential expression analysis of ncNATs between tumor and non-malignant tissues, differential correlation analysis of paired ncNAT/PCT between tumor and non-malignant tissues, and ncNAT/PCT read count ratio variation between tumor and non-malignant tissues. Each of these methods yielded lists of ncNAT/PCT pairs that were enriched in survival-associated genes. This work highlights ncNAT lists that display potential to affect the expression of protein-coding genes involved in breast cancer pathology.
Disciplines :
Genetics & genetic processes
Author, co-author :
Wenric, Stéphane ;  Université de Liège - ULiège > Département des sciences biomédicales et précliniques > GIGA-R : Génétique humaine
ElGuendi, Sonia
CABERG, Jean-Hubert ;  Centre Hospitalier Universitaire de Liège - CHU > Service de génétique
Bezzaou, Warda
Fasquelle, Corinne ;  Université de Liège - ULiège > Département des sciences biomédicales et précliniques > GIGA-R : Génétique humaine
Charloteaux, Benoît  ;  Université de Liège - ULiège > GIGA-Research
Karim, Latifa ;  Université de Liège - ULiège > Département des sciences de la vie > GIGA-R : Biologie et génétique moléculaire
Hennuy, Benoît 
FRERES, Pierre ;  Centre Hospitalier Universitaire de Liège - CHU > Service d'oncologie médicale
COLLIGNON, Joëlle  ;  Centre Hospitalier Universitaire de Liège - CHU > Service d'oncologie médicale
BOUKERROUCHA, Meriem ;  Centre Hospitalier Universitaire de Liège - CHU > Service d'oncologie médicale
SCHROEDER, Hélène  ;  Centre Hospitalier Universitaire de Liège - CHU > Centre d'oncologie
OLIVIER, Fabrice  ;  Centre Hospitalier Universitaire de Liège - CHU > Service d'oncologie médicale
Jossa, Veronique
Jerusalem, Guy  ;  Université de Liège - ULiège > Département des sciences cliniques > Oncologie
JOSSE, Claire  ;  Centre Hospitalier Universitaire de Liège - CHU > Service d'oncologie médicale
Bours, Vincent ;  Université de Liège - ULiège > Département des sciences biomédicales et précliniques > GIGA-R : Génétique humaine
More authors (7 more) Less
Language :
English
Title :
Transcriptome-wide analysis of natural antisense transcripts shows their potential role in breast cancer.
Publication date :
2017
Journal title :
Scientific Reports
eISSN :
2045-2322
Publisher :
Nature Publishing Group, London, United Kingdom
Volume :
7
Issue :
1
Pages :
17452
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 19 January 2018

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