Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA317484 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Genome-wide expression analysis of 182 extrahepatic cholangiocarcinoma and 38 non-tumoral bile duct samples as part of a integrated study of gene expression and targeted DNA-sequencing in patients with extrahepatic cholangiocarcinoma We used whole-genome transcriptome to conduct an unsupervised molecular classification of extrahepatic cholangiocarcinoma
2020-03-22 | GSE132305 | GEO
Project description:Viral infection has a great impact on cellular expression profile of non-coding RNAs and genes. By microarray screening, our study identified 79 long non-coding RNAs (lncRNAs) and 140 mRNAs that were differentially expressed in human lung epithelial A549 cells infected with Zika virus (ZIKV). The bioinformatics analysis indicated that many differentially expressed lncRNAs were located in same chromosome as the differentially expressed mRNAs; and these lncRNAs and mRNAs were involved in the host responses to viral infection, including the innate immune response.
2018-12-20 | GSE124094 | GEO
Project description:In order to understand the role of long noncoding RNAs (lncRNAs) and their interaction with coding RNAs in esophageal sqaumous cell cancer (ESCC), we performed genome-wide screening of the expression of lncRNAs and coding RNAs from primary ESCC tissue and adjacent normal tissue using Agilent SurePrint G3 Human GE 8x60K Microarray. By comparing ESCC tissues and matched normal tissues, differentially expressed lncRNAs and coding RNAs were identified and confirmed with PCR and other independent studies. We further identified a subset of co-located and co-expressed lncRNAs and coding RNAs using bioinformatic tools and the analysis suggested that a subset of lncRNAs may influence nearby genes involved in the genesis of ESCC. Four pairs of ESCC primary tumors and adjacent normal tissues were used for genome-scale microarray experiments, which included long noncoding RNAs and coding RNAs. Selected lncRNAs expressed in the experiment were validated on independent matched-pair samples with PCR method.
2013-03-21 | E-GEOD-45350 | biostudies-arrayexpress
Project description:Microarray expression profile of long non-coding RNAs in human lung adenocarcinoma
| PRJNA475888 | ENA
Project description:In order to understand the role of long noncoding RNAs (lncRNAs) and their interaction with coding RNAs in esophageal sqaumous cell cancer (ESCC), we performed genome-wide screening of the expression of lncRNAs and coding RNAs from primary ESCC tissue and adjacent normal tissue using Agilent SurePrint G3 Human GE 8x60K Microarray. By comparing ESCC tissues and matched normal tissues, differentially expressed lncRNAs and coding RNAs were identified and confirmed with PCR and other independent studies. We further identified a subset of co-located and co-expressed lncRNAs and coding RNAs using bioinformatic tools and the analysis suggested that a subset of lncRNAs may influence nearby genes involved in the genesis of ESCC.
2013-03-21 | GSE45350 | GEO
Project description:Microarray expression profile analysis of long non-coding RNAs and mRNAs in A Rat Carotid Artery Balloon Injury Model
| PRJNA498612 | ENA
Project description:<p>There is a clear need to develop biomarkers for Parkinson disease (PD) diagnosis and monitoring disease progression. In this study we evaluated cerebrospinal fluid (CSF) proteins, which are known to be critically involved in PD or identified in our preliminary profiling studies, aptamers, and RNAs as potential PD biomarkers. Access to subjects for this study was via the Pacific Northwest Udall Center (PANUC) and the Alzheimer's Disease Research Center (ADRC) at the University of Washington and Oregon Health and Sciences University (OHSU). Using CSF samples from 30 well-characterized patients with PD and 30 age-, sex-matched healthy controls, we prepared RNA seq libraries and performed deep sequencing of all RNA species, including small and long RNA, mRNAs, noncoding RNAs and differentially spliced transcripts. We then tried several methods for RNAseq data analysis to optimize our analysis pipeline. We identified a total of 3381 transcripts corresponding to 182 long intergenic RNAs (LincRNAs), 11 microRNAs (miRNAs), 2861 protein-coding transcripts, 200 pseudogenes and 127 antisense RNAs; some of them were differentially expressed between PD and control groups. Selected differentially expressed RNAs have been validated in the same set of CSF samples using real-time PCR (RT-PCR). Further validations in independent, larger cohorts of samples are still ongoing. Our results obtained so far suggested that CSF proteins and RNAs could be used as good indexes for PD diagnosis and disease severity/progression. This study is a part of the NIDDS-funded Parkinson's Disease Biomarkers Program (PDBP).</p>
| phs000901 | dbGaP
Project description:The molecular mechanism of ECC in the genesis and progression is still unclear. Long non-coding RNAs (lncRNAs) have been shown to play critical regulatory roles in cancer biology. In order to understand lncRNAs expression patterns and their potential functional in ECC, we performed a transcriptome analysis of lncRNA and mRNA expression in ECC and paired adjacent noncancerous tissues using Agilent Human lncRNA +mRNA array V4.0 (4 × 180 K).
2019-03-15 | GSE79952 | GEO
Project description:Oxaliplatin (L-OHP) serves as a standard chemotherapy for colorectal cancer, while the drug resistance is still a considerable challenge. A number of previously unknown transcripts have been identified in recent years, the vast majority of which are considered long non-coding RNA (lncRNA). Dysregulation of the lncRNA is involved in the genesis and progression of cancer. This RNA-seq was a paired-end sequencing and aimed to investigate the expression profile of lncRNA associated with oxaliplatin resistance in colorectal cancer.
2021-11-12 | E-MTAB-10806 | biostudies-arrayexpress
Project description:Cross-talk between competitive endogenous RNAs (ceRNAs) may play a critical role in revealing potential mechanisms of tumor development and physiology. Glioblastoma is the most common type of malignant primary brain tumor, and the mechanisms of tumor genesis and development in glioblastoma are unclear. Here, to investigate the role of non-coding RNAs and the ceRNA network in glioblastoma, we performed paired-end RNA sequencing and microarray analyses to obtain the expression profiles of mRNAs, lncRNAs circRNAs and miRNAs. We identified that the expression of 501 lncRNAs, 1789 mRNAs, 2038 circRNAs and 143 miRNAs were often altered between glioblastoma and matched normal brain tissue. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed on these differentially expressed mRNAs and miRNA-mediated target genes of lncRNAs and circRNAs. Furthermore, we used a multi-step computational framework and several bioinformatics methods to construct a ceRNA network combining mRNAs, miRNAs, lncRNAs and circRNA, based on co-expression analysis between the differentially expressed RNAs. We identified that plenty of lncRNAs, CircRNAs and their downstream target genes in the ceRNA network are related to glutamatergic synapse, suggesting that glutamate metabolism is involved in glioma biological functions. Our results will accelerate the understanding of tumorigenesis, cancer progression and even therapeutic targeting in glioblastoma. We hope to inspire researchers to study the role of non-coding RNAs in glioblastoma.
2016-08-30 | GSE86202 | GEO