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Series GSE110907 Query DataSets for GSE110907
Status Public on Feb 20, 2019
Title Identification of tumor suppressor microRNAs by integrative miRNA and mRNA sequencing of matched tumor normal pairs in lung adenocarcinoma
Organism Homo sapiens
Experiment type Non-coding RNA profiling by high throughput sequencing
Summary Roles of microRNAs (miRNAs) have not yet been explored systematically at the genome scale in lung cancer biology despite their important regulatory functions. Here, we report an integrative analysis of microRNA and mRNA sequencing data for the matched tumor and normal samples from 109 Korean female patients with non-small-cell lung adenocarcinoma. We produced miRNA-Seq and RNA-Seq data for 48 patients and RNA-Seq data only for additional 61 patients. Differential expression analysis with stringent criteria yielded 44 miRNAs and 2,322 genes. Integrative gene set analysis of differentially expressed miRNAs and genes using miRNA-target information yielded several processes related to cell cycle regulation that were targeted by tumor suppressor miRNAs. We performed the colony formation assay in A549 and NCI-H460 cell lines to test the tumor suppressive activity of down-regulated miRNAs in cancer and identified 7 novel tumor suppressor miRNAs. Two miRNAs showed differential survival characteristics in the TCGA LUAD patient cohort, suggesting their prognostic value. Our study not only provides a massive dataset of miRNA and mRNA sequencing from the matched tumor-normal samples but also reports several novel tumor suppressor miRNAs that could be further developed into prognostic biomarkers or RNA therapeutic targets.
 
Overall design We produced miRNA-Seq in 48 patient-matched lung adenocarcinoma and non-malignant lung tissue pairs from current and never smokers.
 
Contributor(s) Yu N, Yong S, Jung Y, Lee YE, Kim J, Kim J, Lee S
Citation(s) 30913346, 32795913
Submission date Feb 20, 2018
Last update date Aug 24, 2020
Contact name Jihae Seo
E-mail(s) jihae.seo83@gmail.com
Organization name Ewha Womans University
Department Ewha Research Center for Systems BIology
Street address 52 Ewhayeodae-gil, Seodaemun-Gu
City Seoul
ZIP/Postal code 03760
Country South Korea
 
Platforms (1)
GPL11154 Illumina HiSeq 2000 (Homo sapiens)
Samples (96)
GSM3018550 Pat01N
GSM3018551 Pat01T
GSM3018552 Pat02N
Relations
BioProject PRJNA434883
SRA SRP133217

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE110907_RAW.tar 600.0 Kb (http)(custom) TAR (of TXT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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