TY - JOUR
T1 - Integrated transcriptome analysis reveals miRNA-mRNA crosstalk in laryngeal squamous cell carcinoma
AU - Zhang, Yang
AU - Chen, Yong
AU - Yu, Jinhai
AU - Liu, Guiming
AU - Huang, Zhigang
N1 - Funding Information:
The authors would like to thank Dr. Torsten Juelich for the critical reading of this manuscript and useful suggestions. This work was supported by the grants from the National Natural Science Foundation of China ( 81302374 , 81241084 and 61273228 ), Beijing Natural Science Foundation ( 7121005 and 5122016 ), and Beijing Nova Program ( xx2013043 ).
Publisher Copyright:
© 2014 Elsevier Inc.
PY - 2014/10/1
Y1 - 2014/10/1
N2 - Next generation sequencing (NGS) has proven to be a powerful tool in delineating myriads of molecular subtypes of cancer, as well as in revealing accumulation of genomic mutations throughout cancer progression. Whole genome microRNA (miRNA) and mRNA expression profiles were obtained from patients with laryngeal squamous cell carcinoma (LSCC) using deep sequencing technology, and were analyzed by utilizing integrative computational approaches. A large number of protein-coding and non-coding genes were detected to be differentially expressed, indicating a functional switch in LSCC cells. A total of 127 mutated genes were detected to be significantly associated with ectoderm and epidermis development. Eleven miRNAs were found to be differentially expressed, including a potential cancer suppressor miRNA, mir-34c, which was dramatically down-regulated. Integrated analysis of mRNA and miRNA transcriptomes further revealed correlated dynamics among 11 miRNAs and 138 targeted genes, forming a highly dynamical co-regulation network response to LSCC development.
AB - Next generation sequencing (NGS) has proven to be a powerful tool in delineating myriads of molecular subtypes of cancer, as well as in revealing accumulation of genomic mutations throughout cancer progression. Whole genome microRNA (miRNA) and mRNA expression profiles were obtained from patients with laryngeal squamous cell carcinoma (LSCC) using deep sequencing technology, and were analyzed by utilizing integrative computational approaches. A large number of protein-coding and non-coding genes were detected to be differentially expressed, indicating a functional switch in LSCC cells. A total of 127 mutated genes were detected to be significantly associated with ectoderm and epidermis development. Eleven miRNAs were found to be differentially expressed, including a potential cancer suppressor miRNA, mir-34c, which was dramatically down-regulated. Integrated analysis of mRNA and miRNA transcriptomes further revealed correlated dynamics among 11 miRNAs and 138 targeted genes, forming a highly dynamical co-regulation network response to LSCC development.
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U2 - 10.1016/j.ygeno.2014.06.004
DO - 10.1016/j.ygeno.2014.06.004
M3 - Article
C2 - 24979738
AN - SCOPUS:84908229466
VL - 104
SP - 249
EP - 256
JO - Genomics
JF - Genomics
SN - 0888-7543
IS - 4
ER -