Similar Datasets
Project description:The goal of the study is to compare NGS-derived transcriptome (mRNA-seq) profiles of melanocytes and metastatic melanoma cells and identify genes involved in melanomagenesis
2019-01-16 | GSE109245 | GEO
Project description:The goal of the study is to compare NGS-derived transcriptome (miRNA-seq) profiles of melanocytes and metastatic melanoma cells and identify microRNAs involved in melanomagenesis
2019-01-16 | GSE109244 | GEO
Project description:Next Generation Sequencing of Transcriptomes of Cutaneous Melanocytes and Metastatic Melanoma Cell Lines
| PRJNA430236 | ENA
Project description:Next Generation Sequencing of Transcriptomes of Cutaneous Melanocytes and Metastatic Melanoma Cell Lines (mRNA-Seq)
| PRJNA430242 | ENA
Project description:Next Generation Sequencing of Transcriptomes of Cutaneous Melanocytes and Metastatic Melanoma Cell Lines (miRNA-Seq)
| PRJNA430243 | ENA
Project description:BackgroundCutaneous malignant melanoma (CMM) is one of the most common skin cancers worldwide. Limited information is available in the current scientific literature on the concordance of genetic alterations between primary and metastatic CMM. In the present study, we performed next-generation sequencing (NGS) analysis of the main genes participating in melanoma pathogenesis and progression, among paired primary and metastatic lesions of CMM patients, with the aim to evaluate levels of discrepancies in mutational patterns.MethodsParaffin-embedded tumor tissues of the paired lesions were retrieved from the archives of the institutions participating in the study. NGS was performed using a specific multiple-gene panel constructed by the Italian Melanoma Intergroup (IMI) to explore the mutational status of selected regions (343 amplicons; amplicon range: 125-175 bp; coverage 100%) within the main 25 genes involved in CMM pathogenesis; sequencing was performed with the Ion Torrent PGM System.ResultsA discovery cohort encompassing 30 cases, and a validation cohort including eleven Sardinian patients with tissue availability from both the primary and metachronous metastatic lesions were identified; the global number of analyzed tissue specimens was 90. A total of 829 genetic non-synonymous variants were detected: 101 (12.2%) were pathogenic/likely pathogenic, 131 (15.8%) were benign/likely benign, and the remaining 597 (72%) were uncertain/unknown significance variants. Considering the global cohort, the consistency in pathogenic/pathogenic like mutations was 76%. Consistency for BRAF and NRAS mutations was 95.2% and 85.7% respectively, without statistically significant differences between the discovery and validation cohort.ConclusionsOur study showed a high level of concordance in mutational patterns between primary and metastatic CMM, especially when pathogenic mutations in driver genes were considered.
| S-EPMC6712827 | biostudies-literature
Project description:In this study, we investigated differentially expressed microRNAs (miRNAs or miRs) and their functions in metastatic melanoma using next-generation sequencing technology. The GSE36236 data set was downloaded from the Gene Expression Omnibus (GEO) database and 4 primary cutaneous melanoma samples (used as controls) and 3 metastatic melanoma samples were selected from 31 samples for further analysis. Firstly, the differentially expressed miRNAs were screened by limma package in R language. Secondly, the target genes of the miRNAs were retrieved with TargetScanHuman 6.2, and the interactions among these genes were identified by String and an interaction network was established. Finally, functional and pathway analyses were performed for the genes in the network using Expression Analysis Systematic Explorer (EASE). A total of 4 differentially expressed miRNAs (hsa-miR-146, hsa-miR-27, hsa-miR-877 and hsa-miR-186) were obtained between the metastatic melanoma and primary cutaneous melanoma samples. We predicted 101 high-confidence target genes of hsa-miR-27 and obtained a network with 41 interactions. Finally, functional and pathway analyses revealed that the genes in the network were significantly enriched at the transcriptional level. Differentially expressed miRNAs were identified in the metastatic melanoma compared with the primary cutaneous melanoma samples and the target genes of hsa-miR-27 were found to be significantly enriched at the transcriptional level. The results presented in our study may prove helpful in the diagnosis and treatment of metastatic melanoma.
| S-EPMC4020490 | biostudies-literature
Project description:Purpose: The goals of this study are to identify differentially expressed genes between two groups of melanoma cell lines (Epgn1 and Epgn3) as compared to control melanocytes. Methods: Melanoma cell line profiles of control melanocytes and primary human cell lines were generated by deep sequencing 75bp paired end reads, in triplicate, using Illumina NextSeq500. Reads were aligned and counts called using STAR. The sequence reads that passed quality filters were analyzed at the transcript isoform level. Results: Using an optimized data analysis workflow, we mapped about 35 million reads per sample to the human genome (build hg37). We identified 4566 transcripts which showed differential expression between groups Epgn1 and Epgn2, with a log fold change ≥2 and p value <=0.005. Hierarchical clustering of differentially expressed genes uncovered several as yet uncharacterized genes that may contribute to melanoma progression. Conclusions: Our study allowed us to identify differentially expressed genes between two classes of melanoma cell lines as well as control melanocytes. Further in vitro and in vivo assays using some of the candidate genes identified will allow us to more fully understand primary melanoma progression.
2024-05-08 | GSE198425 | GEO
Project description:BACKGROUND: Organelle genomes of Geraniaceae exhibit several unusual evolutionary phenomena compared to other angiosperm families including accelerated nucleotide substitution rates, widespread gene loss, reduced RNA editing, and extensive genomic rearrangements. Since most organelle-encoded proteins function in multi-subunit complexes that also contain nuclear-encoded proteins, it is likely that the atypical organellar phenomena affect the evolution of nuclear genes encoding organellar proteins. To begin to unravel the complex co-evolutionary interplay between organellar and nuclear genomes in this family, we sequenced nuclear transcriptomes of two species, Geranium maderense and Pelargonium x hortorum. RESULTS: Normalized cDNA libraries of G. maderense and P. x hortorum were used for transcriptome sequencing. Five assemblers (MIRA, Newbler, SOAPdenovo, SOAPdenovo-trans [SOAPtrans], Trinity) and two next-generation technologies (454 and Illumina) were compared to determine the optimal transcriptome sequencing approach. Trinity provided the highest quality assembly of Illumina data with the deepest transcriptome coverage. An analysis to determine the amount of sequencing needed for de novo assembly revealed diminishing returns of coverage and quality with data sets larger than sixty million Illumina paired end reads for both species. The G. maderense and P. x hortorum transcriptomes contained fewer transcripts encoding the PLS subclass of PPR proteins relative to other angiosperms, consistent with reduced mitochondrial RNA editing activity in Geraniaceae. In addition, transcripts for all six plastid targeted sigma factors were identified in both transcriptomes, suggesting that one of the highly divergent rpoA-like ORFs in the P. x hortorum plastid genome is functional. CONCLUSIONS: The findings support the use of the Illumina platform and assemblers optimized for transcriptome assembly, such as Trinity or SOAPtrans, to generate high-quality de novo transcriptomes with broad coverage. In addition, results indicated no major improvements in breadth of coverage with data sets larger than six billion nucleotides or when sampling RNA from four tissue types rather than from a single tissue. Finally, this work demonstrates the power of cross-compartmental genomic analyses to deepen our understanding of the correlated evolution of the nuclear, plastid, and mitochondrial genomes in plants.
| S-EPMC3880972 | biostudies-literature
Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
2015-11-02 | E-GEOD-63130 | biostudies-arrayexpress