TY - JOUR
T1 - A comparison between ribo-minus RNA-sequencing and polyA-selected RNA-sequencing
AU - Cui, Peng
AU - Lin, Qiang
AU - Ding, Feng
AU - Xin, Chengqi
AU - Gong, Wei
AU - Zhang, Lingfang
AU - Geng, Jianing
AU - Zhang, Bing
AU - Yu, Xiaomin
AU - Yang, Jin
AU - Hu, Songnian
AU - Yu, Jun
N1 - Funding Information:
This study is supported by a grant ( 2006CB910401 , 2006CB910403 , 2006CB910404 ) from the National Basic Research Program (973 Program), the Ministry of Science and Technology of the People's Republic of China. The authors especially thank the LT's experts Hongying Yin, Xin Li, Jiandong Sun, Yangzhou Wang, Bob Nutter, Max Ingman for supporting on the technique and reagents of the experiments.
PY - 2010/11
Y1 - 2010/11
N2 - To compare the two RNA-sequencing protocols, ribo-minus RNA-sequencing (rmRNA-seq) and polyA-selected RNA-sequencing (mRNA-seq), we acquired transcriptomic data-52 and 32 million alignable reads of 35 bases in length-from the mouse cerebrum, respectively. We found that a higher proportion, 44% and 25%, of the uniquely alignable rmRNA-seq reads, is in intergenic and intronic regions, respectively, as compared to 23% and 15% from the mRNA-seq dataset. Further analysis made an additional discovery of transcripts of protein-coding genes (such as Histone, Heg1, and Dux), ncRNAs, snoRNAs, snRNAs, and novel ncRNAs as well as repeat elements in rmRNA-seq dataset. This result suggests that rmRNA-seq method should detect more polyA- or bimorphic transcripts. Finally, through comparative analyses of gene expression profiles among multiple datasets, we demonstrated that different RNA sample preparations may result in significant variations in gene expression profiles.
AB - To compare the two RNA-sequencing protocols, ribo-minus RNA-sequencing (rmRNA-seq) and polyA-selected RNA-sequencing (mRNA-seq), we acquired transcriptomic data-52 and 32 million alignable reads of 35 bases in length-from the mouse cerebrum, respectively. We found that a higher proportion, 44% and 25%, of the uniquely alignable rmRNA-seq reads, is in intergenic and intronic regions, respectively, as compared to 23% and 15% from the mRNA-seq dataset. Further analysis made an additional discovery of transcripts of protein-coding genes (such as Histone, Heg1, and Dux), ncRNAs, snoRNAs, snRNAs, and novel ncRNAs as well as repeat elements in rmRNA-seq dataset. This result suggests that rmRNA-seq method should detect more polyA- or bimorphic transcripts. Finally, through comparative analyses of gene expression profiles among multiple datasets, we demonstrated that different RNA sample preparations may result in significant variations in gene expression profiles.
KW - MRNA-seq
KW - RNA-seq
KW - Ribominus
UR - http://www.scopus.com/inward/record.url?scp=78649449778&partnerID=8YFLogxK
U2 - 10.1016/j.ygeno.2010.07.010
DO - 10.1016/j.ygeno.2010.07.010
M3 - Article
C2 - 20688152
AN - SCOPUS:78649449778
SN - 0888-7543
VL - 96
SP - 259
EP - 265
JO - Genomics
JF - Genomics
IS - 5
ER -