Project description:we conducted transcriptome and small RNA sequencing to identify differentially expressed genes (DEGs), miRNAs (DEMs), and lncRNAs (DELs). Function analysis on DEM-target genes can explain the regulatory roles of miRNAs in LC. The lncRNA-miRNA pairs, miRNA-mRNA pairs, and lncRNA-mRNA pairs were identified, which were then combined to construct the interplay of lncRNAs/miRNAs/mRNAs. And we used the online databases to verify the selected DEMs, DELs, and DEGs. Our study identified 2509 DEGs, 34 DEMs, and 432 DELs in LC patients. miRNA-mRNA pairs, including 1 miRNA (hsa-miR-21-5p) and 5 targeted genes (RECK, TIMP3, EHD1, RASGRP1 and ERG), were figured out. We finally found the hub subnetwork (LINC00632/has-miR-21-5p/TIMP3) by combining lncRNA-miRNA pairs, miRNA-mRNA pairs and lncRNA-mRNA pairs.
Project description:LncRNA and mRNA expression in five paired lung tissues (lung cancer tissues versus nontumor tissues) from non-small cell lung cancer (NSCLC) patients
Project description:To determine the LncRNA and mRNA expression profile in lung cancer tissues and matched nontumor tissues, we used LncRNA microarray analysis from Arraystar to examine the expression of LncRNAs and mRNAs in lung cancer tissues and matched nontumor tissues.
Project description:Dysregulated miRNA in human colorectal cancer (CRC) were identified through comparison between 4 CRC tumors and their adjacent normal tissues by miRNA array. Histologically-confirmed CRC were included in this study. CRC tissues and paired adjacent normal tissues were obtained from the resected surgical specimens. The adjacent normal tissue is composed of normal colonic mucosa located at approximately 10 cm away from the cancer tissue. miRNA profiling of 754 human miRNAs was performed using TaqMan Human MiRNA Array Set v3.0. Quantitative real-time polymerase chain reaction (Q-PCR) was performed using Applied Biosystems 7900HT Real-Time PCR System (Applied Biosystems). Results were analyzed by the SDS RQ Manager 1.2 software (Applied Biosystems).
Project description:MicroRNA (miRNA) expression profiles for lung cancers were examined to investigate the miRNA involvement in lung carcinogenesis. miRNA microarray analysis identified statistical unique profiles, which could discriminate lung cancers from noncancerous lung tissues.
Project description:Background: MicroRNAs (miRNAs) are small noncoding RNAs about 22 nucleotides in length and regulate mRNA expression by binding to 3?UTR of mRNAs and causing translation repression or degradation of mRNAs. Recent studies have revealed that microRNAs play important regulatory roles in carcinogenesis. However, the complement of miRNAs involved in lung carcinogenesis and tumor biology is generally unknown. We used high-throughput sequencing technology to investigate miRNA expression profiles in a study of paired lung non-small cell carcinomas and remote noncancerous lung tissues. Methods: Total RNA was isolated by Trizol from patient lung tissues, including 1 non-pair of macroscopic lung adenocarcinoma tissue, and 20 pairs of macroscopic lung adenocarcinoma tissues and corresponding paired noncancerous lung tissues from the same patients, 1 non-pair of noncancerous lung tissues of squamous cell carcinoma patient, and 10 pairs of squamous cell carcinoma and corresponding paired noncancerous lung tissues from the same patients. Small RNA library of each total RNA was constructed with Illumina?s Small RNA Sample Prep Kit, followed by high-throughput sequencing. Statistical differences in microRNA expression between groups were analyzed by GenePattern software. Results: Using 2-fold threshold with FDR<0.05, there were ~90 miRNAs differentiated the lung cancers from nontumor lung tissues, both histologies. (a) The sets of microRNAs differentiating adenocarcinoma from paired nontumor tissues are largely different from those differentiating squamous tumors. There were 40 upregulated and 23 downregulated microRNAs differentiating adenocarcinoma Tvs.NT . For squamous cell, the numbers were 19 and 6, respectively. (b) In common between the two tumor histologies, there were six common upregulated microRNAs (miR-21, 135b, 200a, 494, 708. 1259), and four common down-regulated microRNAs (miR-144, 184, 516a, 1251). (c) Comparing our 22 miRNAs in common with Yanaihara/Harris Cancer Cell 2006 using spotted microarrays, we found similar direction of change in 19/22. (d) As a group, the top over-expressed miRNA in lung tumors (determined as fold change > 2, and comprising at least .01% of total miRNA) are able to predict mRNAs that are differentially expressed in those same samples (p=4.6x10^-6). Conclusions: This effort represents one of the more comprehensive surveys of the lung tumor micronome. (i) Tumor microRNA complement differs from far-adjacent lung; (ii) Histologies differ in their overall, and tumor-distinctive microRNA complement; (iii) Statistical correlations of individual microRNA:mRNA (putative) pairing from the same tissue sets are pending. (iv) Experimental confirmation of microRNA:mRNA targeting, using our microRNA affinity pull down assay is also pending.