FOGS
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB91908 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:This study is to examine gene expression profiles in 18 HCM patients and compare them with those in 5 healthy controls. The hypothesis tested here is whether patient individual-level transcriptome data integrated with the human interactom can implicate the heterogenity of HCM phenotypes.In this study, we also analyze DNA whole-exome sequencing (WES) data from 18 patients.
2021-01-09 | GSE160997 | GEO
Project description:The Xuanwei area is a hot spot of lung adenocarcinoma in females in China, which is strongly associated with the consumption of local smoky coal. Comprehensive characterization of its genomic and immunological landscapes is crucial for cancer prevention and the development of precision therapy. Here, we report extensive genomic, transcriptomic, and immunological profiles of 117 Xuanwei female lung adenocarcinoma (XWFA), comprising 112 pairs of tumour-normal whole-exon sequencing (WES) profiles and 33 normal and 115 tumour mRNA-seq profiles.
2022-01-11 | GSE162001 | GEO
Project description:In this study, Solexa deep sequencing technology was used for high-throughput analysis of miRNAs in a small RNA library isolated from serum sample of HCV-related fibrosis and control healthy. In total, 41 miRNAs were dysregulated (30 upregulated and 11 downregulated) in the patients with chronic HCV infection compared with the healthy controls. Furthermore, miRNA features including length distribution and end variations were characterized. Annotation of targets revealed a broad range of biological processes and signal transduction pathways regulated by HCV-induced fibrosis miRNAs. In addition, miRNAs of HCV-related fibrosis and control healthy were confirmed using miRNA microarray analysis. Real-time quantitative PCR (qPCR) analysis of miRNA in the chronic HCV infection patients and control healthy groups showed good concordance between the sequencing and qPCR data. This study provides the first large-scale identification and characterization of HCV-related fibrosis miRNAs and their potential targets, and represents a foundation for further characterization of their roles in the regulation of the diversity of HCV-related fibrosis.
2020-06-07 | GSE82327 | GEO
Project description:Genome-wide methylation profiles were generated as part of a multi-omics characterization (SNP array, WES, RNA-seq, cDNA microarray) of a panel of gliomasphere cell lines and matched parental tumors. See https://www.ncbi.nlm.nih.gov/pubmed/27571888 about the GlioTeX panel. Methylation profiling data in this record come from tumour samples. SNP array (ArrayExpress E-MTAB-4804), cDNA microarray (ArrayExpress E-MTAB-4803), WES and RNAseq (European Genome-Phenome Archive EGAS00001001871) have been published before. In addition, for the current project we compare 450K methylation data to nanopore sequencing based methylation profiles. These sequencing data will be accessible via European Genome-Phenome Archive (EGAS00001002213). Please also refer to https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-5795/files/E-MTAB05795.additional.1.zip for further information on the background of this multi-omics study.
2017-06-24 | E-MTAB-5797 | biostudies-arrayexpress
Project description:In this study, our aim was to investigate the potential inflammatory pathways underlining PV, PPPP, and NPPP, through histologic and immunohistochemical characterization of the inflammation and gene expression profiling in skin samples of participants with PPPP, NPPP, PV (without palmo-plantar involvement), and healthy controls.
2022-05-25 | GSE203415 | GEO
Project description:Skin microbiome characterization in rosacea patients and healthy controls
| PRJEB37562 | ENA
Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived retinal transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis Methods: The serum microvesicles of five acute ischemic stroke (AIS) and healthy controls was purified using Ribo™ Exosome Isolation Reagent (C10110-2, RIBOBIO, Guangzhou, China) and analyzed by flow cytometry and nanoparticle tracking analysis (NTA).The miRNA expression profiles of serum microvesicles of five acute ischemic stroke (AIS) and healthy controls were detected by RNA-seq using llumina HiSeqTM 2500. Results: Using an optimized data analysis workflow, 732 miRNA species were detected in total. The levels of 51 individual miRNA species were significantly different between AIS patients and healthy controls. Conclusions: Our study represents the first detailed analysis of miRNA expression profiles of serum microvesicles in AIS and healthy controls, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of miRNA content in serum microvesicles. We conclude that RNA-seq based non-coding RNA characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.
2022-04-04 | GSE199942 | GEO