Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Sequencing of the non-ribosomal transcriptome allows the simultaneous identification of protein-coding and non-protein-coding RNAs

ABSTRACT: Deep Sequencing of protein-coding and non-protein-coding RNAs from mouse differentiated embryonic stem cells and 14.5dpc mouse fetal head Analysis of Ribominus RNA from mouse differentiated embryonic stem cells and 14.5dpc mouse fetal head There are no processed data files for GSM566806-GSM566811. There are no fastq raw data files for GSM566812 and GSM566813 since these samples are the combined reads from all sequence lanes.

ORGANISM(S): Mus musculus

SUBMITTER: Ru Huang

PROVIDER: E-GEOD-22959 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

An RNA-Seq strategy to detect the complete coding and non-coding transcriptome including full-length imprinted macro ncRNAs.

Huang Ru R Jaritz Markus M Guenzl Philipp P Vlatkovic Irena I Sommer Andreas A Tamir Ido M IM Marks Hendrik H Klampfl Thorsten T Kralovics Robert R Stunnenberg Hendrik G HG Barlow Denise P DP Pauler Florian M FM

PloS one 20111110 11

Imprinted macro non-protein-coding (nc) RNAs are cis-repressor transcripts that silence multiple genes in at least three imprinted gene clusters in the mouse genome. Similar macro or long ncRNAs are abundant in the mammalian genome. Here we present the full coding and non-coding transcriptome of two mouse tissues: differentiated ES cells and fetal head using an optimized RNA-Seq strategy. The data produced is highly reproducible in different sequencing locations and is able to detect the full le ...[more]

PMID: 22102886

Similar Datasets

Project description:A variety of contaminants find their way to the marine sediments from different sources, and these contaminants can pose serious risks to the natural marine flora and fauna. For example, pyrethroids, which are a potent pesticide family, are often used in agriculture fields worldwide, and these find their way into the marine environment through run off. Further, pyrethroids are used in farmed Atlantic salmon cages in Chile, Great Britain and Norway. Ammonia is another contaminant that is used in agriculture in form of ammonia-rich fertilizer and can be carried during run-offs to localized rivers and streams. Ammonia is also detectable after emission of effluents from sewage treatment plants and industrial plants like oil refineries and meat processing plants. Contaminants may have short and long term effects on non-target organisms living in the water column or in the marine sediment. Importantly, the sediment ecosystem houses a variety of plants, animals and crustaceans, including the American lobster Homarus americanus. Lobster is the most fished crustacean in New Brunswick and Quebec and its resale and exportation produced over $1.6 billion in 2011. Due to its economic and environmental importance, it is essential to study the effects of contaminants present in its ecosystem. Sediment samples are often used as pollution markers during toxicity testing due to their tendency to accumulate hydrophobic contaminants. To better understand the possible effects of contaminants in sediment, a total gene expression study was developed using the marine amphipod Eohaustorius estuarius. A 10 day spike-in exposure was performed using ammonia and two pyrethroids, namely cypermethrin and deltamethrin. As pyrethroids and ammonia are known to have vastly different mechanisms of action in living organisms, we compared global gene expression patterns following exposure to ammonia against the patterns observed following exposure to pyrethroids. Total gene expression was measured by oligonucleotide microarray. The expression of five genes of interest involved in different biological processes such as metabolism, transcription, translation, immunity and stress, which were found to be differently expressed by microarray, was validated by RT-qPCR. A set of genes was identified that showed differential expression levels in a treatment-dependent manner, thus further highlighting the different mechanisms of action of ammonia and pyrethroids in the marine sediment. This study provides a proof of concept for the use of DNA microarrays with model crustaceans for the study of marine sediment contaminants. This specific study is aimed at evaluating the effect of ammonia and pyrethroid exposure on E.estuarius and to identify possible biomarkers of these exposures.

Project description:Microbiota from rats fed with wheat aleurone and plant omega fatty acids In this study we investigated how an AX-rich WA and ALA from linseed oil (LO) modulate the gut microbiota of rats. Wistar rats were fed a standard diet and received either an iso-energetic control oil (PO), control oil + aleurone (A+PO), linseed oil (LO) or linseed oil + aleurone (A+LO) during 12 weeks. Feacal samples were recovered after the 12 week treatments. DNA extractions were performed using using the Qiagen's DNA Stool Kit (Qiagen, West Sussex, UK). 10ng of DNA template were amplified by PCR (16S gene) and purified using Qiagen's Qiaquick PCR purification kit (Qiagen, West Sussex, UK). 1ug of purified PCR product were labelled with either Cy3 or Cy5 using Genomic DNA ULS Labelling kit (Agilent Technologies, Palo Alto, CA). 250ng of labelled DNA were hybridized on the microarray for 24h at 65M-BM-0C. Washings were performed as recommended by the manufacturer. Microarray scanning was performed on a Surescan Microarray scanner (Agilent Technologies, Palo Alto, CA). Data were extracted using the Feature extraction software (Agilent Technologies, Palo Alto, CA). The retained intensity value for each probe was the ratio between the spotM-bM-^@M-^Ys median intensity signals and the median of background signals. A 13 chip study was realized to analyze the feacal microbiota of rats treated with either an iso-energetic control oil (PO), control oil + aleurone (A+PO), linseed oil (LO) or linseed oil + aleurone (A+LO) during 12 weeks. Each microarray corresponding to hybridization with 250ng of labelled 16S rRNA gene amplicons from 2 rat DNA faecal samples. Microbiota structure and diversity were assessed using the HuGChip (Tottey et al., 2013). Each probe (4441) was synthetized in three replicates. On the same array, 2 different samples were hybridized. One labelled with the Cy3 dye and one with the Cy5 dye. The results were processed as single channel (13 raw data files available on Series records for 25 samples).

Project description:Comprehensive Profiling of Epstein-Barr Virus-Encoded miRNAome Associated with Specific Latent Type in Tumor Cells Epstein-Barr virus (EBV) is an etiological cause of many human lymphocytic and epithelial malignancies. EBV expressed different genes associated with three latent types. So far as many as 44 EBV-encoded miRNA species have been found but their comprehensive and comparative profiling is not well documented in three latent infection states linked to various tumor cells. In this study, we utilized the polyA-tailed quantitative real time RT-PCR procedure to measure the relative abundance of viral miRNA species that linked to individual viral genome locations in combination with microarray evaluation in a subset of representative lymphoid and epithelial tumor cells undergoing various types of EBV latent infection. The results showed that miR-BHRF1 family and miR-BART family are expressed differentially in a tissue-dependent and latency-dependent manner. In particular, in NPC tissue and the only EBV consistently harboring cell line C666-1 with latency type II, there were highly abundant miR-BART family but not miR-BHRF1 family members that accounted for more than 10% of the whole known human miRNA library, implicating their important roles in maintaining EBV latent infection and driving NPC tumorigenesis. In addition, EBV miRNAome-based clustering analysis could classify three distinct EBV latency types, meanwhile, for the first time, we found and subsequently evaluated a novel secret latent switch in BL cell line Daudi from type I to III, which was unable to be identified by traditional latent biomarkers. Together, our data provided an in-depth and comparative profiling of EBV miRNA transcriptome in correspondence with three EBV latent infections, suggesting that different viral miRNA species were involved in divergent host cell carcinogenesis. Finally, EBV miRNAome, as a cluster of novel latency biomarkers expressed variedly in tumor cells, greatly complements and improves the classical typing criteria in conjunction with other latently expressed marker genes. 2 NPC tissue samples and 2 NPC cell lines and 5 lymphocytic cell lines

Dataset Information

Sequencing of the non-ribosomal transcriptome allows the simultaneous identification of protein-coding and non-protein-coding RNAs

Publications

An RNA-Seq strategy to detect the complete coding and non-coding transcriptome including full-length imprinted macro ncRNAs.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure