Actinopterygii Myctophiformes
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA414237 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The manuscript by D. Licastro and colleagues “Promiscuity of enhancer, coding and non-coding transcription functions in ultraconserved sequence elements” presents an overview of experimental and computational approaches employed by the authors to perform a multi-facet characterization of ultraconserved elements (UCEs). The authors present an interesting analysis where they investigate the transcription of UCEs in mouse development at different stages by conductin an microarray experiment. Some of these results are further verified by RT-PCR. 12 Samples, 4 groups 3 samples per group.
2010-06-16 | E-GEOD-19371 | biostudies-arrayexpress
Project description:The manuscript by D. Licastro and colleagues “Promiscuity of enhancer, coding and non-coding transcription functions in ultraconserved sequence elements” presents an overview of experimental and computational approaches employed by the authors to perform a multi-facet characterization of ultraconserved elements (UCEs). The authors present an interesting analysis where they investigate the transcription of UCEs in mouse development at different stages by conductin an microarray experiment. Some of these results are further verified by RT-PCR.
2010-06-16 | GSE19371 | GEO
Project description:Revised risk estimation and treatment stratification of low- and intermediate-risk neuroblastoma patients by integrating clinical and molecular prognostic markers. To optimize neuroblastoma treatment stratification, we aimed at developing a novel risk estimation system by integrating gene expression-based classification and established prognostic markers. Gene expression profiles were generated from 709 neuroblastoma specimens using customized 4x44K microarrays. Classification models were built using 75 tumors with contrasting courses of disease. Validation was performed in an independent test set (n=634) by Kaplan-Meier estimates and Cox regression analyses. Combination of gene expression-based classification and established prognostic markers improves risk estimation of LR/IR neuroblastoma patients. We propose to implement our revised treatment stratification system in a prospective clinical trial.
2014-10-09 | E-MTAB-1781 | biostudies-arrayexpress
Project description:Ultraconserved elements (UCEs) resolve the phylogeny of Australasian smurf-weevils
| PRJNA394929 | ENA
Project description:Revised phylogeny of genus Aliivibrio
| PRJEB34882 | ENA
Project description:Promiscuity of enhancer, coding and non-coding transcription functions in ultraconserved sequence elements
| PRJNA120415 | ENA
Project description:Cross species comparison of genomes and transcriptomes is a powerful tool for understanding underlying biological processes, accurate functional classification of genes, and discovery of novel elements. The shift to next-generation sequencing platforms has tremendously accelerated the analysis of genomes and transcriptomes. The use of this technology for transcriptome analysis has many advantages over hybridization based technologies, including higher sensitivity and specificity, and eliminates the need for probe design. Using Illumina sequencing of mRNAs, we have captured the global transcriptional profiles of the developmental cycles of D. discoideum and D. purpureum. The morphology and transcriptional profiles in these two species have been largely conserved even after greater than 300 million years of divergence. We also captured the transcriptional profiles of prespore and prestalk cells from both species. The RNA-seq results correlate well with previously known markers and reveal many new transcripts with unique developmental regulation and cell type enrichment. Our analysis provides the first complete picture of the transcriptional landscape in both D. discoideum and D. purpureum. Transcriptional abundance of over 13,900 genome elements from seven time points of development, and prespore/prestalk cell types will be available through a graphical, highly-interactive, explorative web interface at: http://www.ailab.si/dictyexpress , which currently displays all of our published microarray data. Sequence coverage at a single nucleotide resolution will also be available through an interactive genome browser. These data, from morphology to genome to transcriptome, provide a global picture of the developmental cycles of D. discoideum and D. purpureum and will facilitate the functional classification of genes, as well as discovery of novel genes, splice variants, regulatory elements and non-coding RNAs. Keywords: Transcriptome Analysis Examination of 7 developmental time points in two cell types with 2 biological replicates for each sample.
2010-03-12 | E-GEOD-17637 | biostudies-arrayexpress