Gene expression profiling reveals U1 snRNA regulates cancer gene expression
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Zhi Cheng1,4,*, Yu Sun1,2,*, Xiaoran Niu1, Yingchun Shang1, Jishou Ruan3, Ze Chen4, Shan Gao1,2 and Tao Zhang1
1College of Life Sciences and Key Laboratory of Bioactive Materials Ministry of Education, Nankai University, Tianjin 300071, P.R. China
2Institute of Statistics, Nankai University, Tianjin 300071, P.R. China
3School of Mathematical Sciences, Nankai University, Tianjin 300071, P.R. China
4State Key Laboratory of Veterinary Etiological Biology and Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Science, Lanzhou, Gansu 730046, P.R. China
*These authors have contributed equally to this work
Shan Gao, email: email@example.com
Tao Zhang, email: firstname.lastname@example.org
Keywords: U1 snRNA; over-expression; cancer; gene expression profiling; microarray
Received: May 23, 2017 Accepted: November 10, 2017 Published: December 01, 2017
U1 small nuclear RNA (U1 snRNA), as one of the most abundant ncRNAs in human cells, plays an important role in splicing of pre-mRNAs. Compared to previous studies which have focused on the primary function of U1 snRNA and the neurodegenerative diseases caused by abnormalities of U1 snRNA, this study is to investigate how U1 snRNA over-expression affects the expression of mammal genes on a genome-wide scale. By comparing the gene expression profiles of U1 snRNA over-expressed cells with those of their controls using microarray experiments, 916 genes or loci were identified significantly Differentially Expressed (DE). These 595 up-regulated DE genes and 321 down-regulated DE genes were analyzed using annotations from GO categories and pathways from the KEGG database. As a result, three of 12 enriched pathways were well-known cancer pathways, while the other nine pathways were associated to cancers in previous studies. The further analysis of 73 genes involved in 12 pathways suggested that U1 snRNA could regulate cancer gene expression. The microarray data under the GEO Series accession number GSE84304 is available in the NCBI GEO database.
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