Ontology highlight
ABSTRACT:
PROVIDER: PRJNA474223 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:An increasing number of non-coding RNAs (ncRNAs) are implicated in various human diseases including cancer; however ncRNA transcriptome of hepatocellular carcinoma (HCC) remains largely unexplored. We use CAGE (Cap Analysis of Gene Expression) to comprehensively map transcription start sites (TSSs) across different etiologies of human HCC as well as mouse HCC, with particular emphasis on ncRNAs distant from protein-coding genes. We find thousands of significantly up-regulated distal ncRNAs in HCC tumors compared to their matched non-tumors, which are as many as protein-coding genes. Moreover, we identify many LTR retroviral promoters activated in HCC tissues and expressed in a subfamily-specific manner, which account for approximately 20% of the up-regulated distal ncRNAs. The transcripts derived from LTRs, determined by 3' RACE, are multi-exon nuclear ncRNAs typically 0.5-2kb in length. This study sheds light on ncRNA transcriptome of human and mouse HCC. Expression profiles using CAGE for 37 mouse HCC. The human data are archived at dbGaP (phs000885.v1.p1). An umbrella BioProject has been created to associate the GEO and dbGaP BioProjects: PRJNA278792
2015-09-10 | E-GEOD-60982 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the SubSeries listed below. The BioProject ID on this superSeries record also encompasses a genome sequencing project under BioProject PRJNA213010.
2014-05-29 | GSE50585 | GEO
Project description:Nitrate-reducing iron(II)-oxidizing bacteria are widespread in the environment contribute to nitrate removal and influence the fate of the greenhouse gases nitrous oxide and carbon dioxide. The autotrophic growth of nitrate-reducing iron(II)-oxidizing bacteria is rarely investigated and poorly understood. The most prominent model system for this type of studies is enrichment culture KS, which originates from a freshwater sediment in Bremen, Germany. To gain insights in the metabolism of nitrate reduction coupled to iron(II) oxidation under in the absence of organic carbon and oxygen limited conditions, we performed metagenomic, metatranscriptomic and metaproteomic analyses of culture KS. Raw sequencing data of 16S rRNA amplicon sequencing, shotgun metagenomics (short reads: Illumina; long reads: Oxford Nanopore Technologies), metagenome assembly, raw sequencing data of shotgun metatranscriptomes (2 conditions, triplicates) can be found at SRA in https://www.ncbi.nlm.nih.gov/bioproject/PRJNA682552. This dataset contains proteomics data for 2 conditions (heterotrophic and autotrophic growth conditions) in triplicates.
2021-05-17 | PXD023186 | Pride
Project description:high throughput sequencing of the metagenome of mexican children
2020-03-16 | GSE143207 | GEO
Project description:BioProject Replaced by BioProject PRJNA622920
| PRJNA622916 | ENA
Project description:The deep marine subsurface is one of the largest unexplored biospheres on Earth, where members of the phylum Chloroflexi are abundant and globally distributed. However, the deep-sea Chloroflexi have remained elusive to cultivation, hampering a more thorough understanding of their metabolisms. In this work, we have successfully isolated a representative of the phylum Chloroflexi, designated strain ZRK33, from deep-sea cold seep sediments. Phylogenetic analyses based on 16S rRNA genes, genomes, RpoB and EF-tu proteins indicated that strain ZRK33 represents a novel class within the phylum Chloroflexi, designated Sulfochloroflexia. We present a detailed description of the phenotypic traits, complete genome sequence and central metabolisms of the novel strain ZRK33. Notably, sulfate and thiosulfate could significantly promote the growth of the new isolate, possibly through accelerating the hydrolysis and uptake of saccharides. Thus, this result reveals that strain ZRK33 may play a crucial part in sulfur cycling in the deep-sea environments. Moreover, the putative genes associated with assimilatory and dissimilatory sulfate reduction are broadly distributed in the genomes of 27 metagenome-assembled genomes (MAGs) from deep-sea cold seep and hydrothermal vents sediments. Together, we propose that the deep marine subsurface Chloroflexi play key roles in sulfur cycling for the first time. This may concomitantly suggest an unsuspected availability of sulfur-containing compounds to allow for the high abundance of Chloroflexi in the deep sea.
2024-05-22 | PXD023380 | Pride