Ontology highlight
ABSTRACT:
PROVIDER: PRJNA674390 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| JACASF01.dat.gz | Other | |||
| JACASF01.fasta.gz | Fasta.gz | |||
| JACASF01.master.dat | Other | |||
| SRR11747789_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 14 |
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Project description:Molossus molossus (Pallas's mastiff bat) genome sequencing, assembly and annotation
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Primary outcome(s): For mRNA libraries, focus on mRNA studies. Data analysis includes sequencing data processing and basic sequencing data quality control, prediction of new transcripts, differential expression analysis of genes. Gene Ontology (GO) and the KEGG pathway database are used for annotation and enrichment analysis of up-regulated genes and down-regulated genes.
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| 2612481 | ecrin-mdr-crc
Project description:While employing deep sequencing and de novo assembly to characterize the mRNA transcript profile of a cell line derived from the microbat Myotis velifer incautus, we serendipitously identified mRNAs encoding proteins with a high level of identity to herpesviruses. Next generation sequencing and de novo assembly of the viral genome from supernatants from Vero cells yielded a single contig of approximately 130 kilobases with at least 80 ORFs, predicted microRNAs and a gammaherpesvirus genomic organization. Phylogenetic analysis of the envelope glycoprotein (gB) and DNA polymerase (POLD1) revealed similarity to multiple gammaherpesvirus, including those from as yet uncultured viruses of the Rhadinovirus genus that were obtained by deep sequencing of bat tissues. Cumulatively, this study provides the first isolation and characterization of a replication competent bat gammaherpesvirus.
2016-02-01 | GSE76756 | GEO
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Project description:Phyllostomus discolor (pale spear-nosed bat) genome sequencing, assembly and annotation
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Project description:Bat adenoviruses are a group of recently identified adenoviruses (AdVs) which are highly prevalent in bats yet share low similarity to known AdVs from other species. In this study, deep RNA sequencing was used to analyze the transcriptome at five time points following the infection of a bat AdV in a kidney cell line derived from a myotis bat species. Evidence of AdV replication was observed with the proportion of viral RNAs ranging from 0.01% at 6 h to 1.3% at 18 h. Further analysis of viral temporal gene expression revealed three replication stages; the early stage genes encoding mainly for host interaction proteins, the intermediate stage genes for the DNA replication and assembly proteins, and the late stage genes for most structural proteins. Several bat AdV genes were expressed at stages that differed from their counterpart genes previously reported for human AdV. In addition, single-base resolution splice sites of several genes and promoter regions of all 30 viral genes were fully determined. Simultaneously, the temporal cellular gene expression profiles were identified. The most overrepresented functional categories of the differentially expressed genes were related to cellular immune response, transcription, translation, and DNA replication and repair. Taken together, the deep RNA sequencing provided a global, transcriptional profile of the novel BtAdV and the virus-host interactions, which will be useful for the understanding and investigation of AdV replication, pathogenesis and specific virus-bat interactions in future research. Deep RNA sequencing was used to analyze the transcriptome at five time points(0h,6h,8h, 12h 18h) following the infection of a bat AdV in a bat kidney cell.
2013-02-06 | E-GEOD-41275 | biostudies-arrayexpress
Project description:Vongsangnak2008 - Genome-scale metabolic
network of Aspergillus oryzae (iWV1314)
This model is described in the article:
Improved annotation through
genome-scale metabolic modeling of Aspergillus oryzae.
Vongsangnak W, Olsen P, Hansen K,
Krogsgaard S, Nielsen J.
BMC Genomics 2008; 9: 245
Abstract:
BACKGROUND: Since ancient times the filamentous fungus
Aspergillus oryzae has been used in the fermentation industry
for the production of fermented sauces and the production of
industrial enzymes. Recently, the genome sequence of A. oryzae
with 12,074 annotated genes was released but the number of
hypothetical proteins accounted for more than 50% of the
annotated genes. Considering the industrial importance of this
fungus, it is therefore valuable to improve the annotation and
further integrate genomic information with biochemical and
physiological information available for this microorganism and
other related fungi. Here we proposed the gene prediction by
construction of an A. oryzae Expressed Sequence Tag (EST)
library, sequencing and assembly. We enhanced the function
assignment by our developed annotation strategy. The resulting
better annotation was used to reconstruct the metabolic network
leading to a genome scale metabolic model of A. oryzae.
RESULTS: Our assembled EST sequences we identified 1,046 newly
predicted genes in the A. oryzae genome. Furthermore, it was
possible to assign putative protein functions to 398 of the
newly predicted genes. Noteworthy, our annotation strategy
resulted in assignment of new putative functions to 1,469
hypothetical proteins already present in the A. oryzae genome
database. Using the substantially improved annotated genome we
reconstructed the metabolic network of A. oryzae. This network
contains 729 enzymes, 1,314 enzyme-encoding genes, 1,073
metabolites and 1,846 (1,053 unique) biochemical reactions. The
metabolic reactions are compartmentalized into the cytosol, the
mitochondria, the peroxisome and the extracellular space.
Transport steps between the compartments and the extracellular
space represent 281 reactions, of which 161 are unique. The
metabolic model was validated and shown to correctly describe
the phenotypic behavior of A. oryzae grown on different carbon
sources. CONCLUSION: A much enhanced annotation of the A.
oryzae genome was performed and a genome-scale metabolic model
of A. oryzae was reconstructed. The model accurately predicted
the growth and biomass yield on different carbon sources. The
model serves as an important resource for gaining further
insight into our understanding of A. oryzae physiology.
This model is hosted on
BioModels Database
and identified by:
MODEL1507180056.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2015-07-30 | MODEL1507180056 | BioModels
Project description:We compiled the transcriptome by extracting mRNA, reverse transcription and Illumina sequencing, followed by assembly and annotation by comparison with public databases (including; Nr, SwissProt and COG). Quantitative data on the transcription abundance of each putative protein sequence is provided as assesed by the SOAPdenovo_trans assembly tool.
2013-10-28 | E-MTAB-1859 | biostudies-arrayexpress