Ontology type: schema:ScholarlyArticle
2016-09-05
AUTHORSMing Ni, Chen Chen, Jun Qian, Hai-Xia Xiao, Wei-Feng Shi, Yang Luo, Hai-Yin Wang, Zhen Li, Jun Wu, Pei-Song Xu, Su-Hong Chen, Gary Wong, Yuhai Bi, Zhi-Ping Xia, Wei Li, Hui-jun Lu, Juncai Ma, Yi-Gang Tong, Hui Zeng, Sheng-Qi Wang, George F. Gao, Xiao-Chen Bo, Di Liu
ABSTRACTSince 2013, West Africa has encountered the largest Ebola virus (EBOV) disease outbreak on record, and Sierra Leone is the worst-affected country, with nearly half of the infections. By means of next-generation sequencing and phylogeographic analysis, the epidemiology and transmission of EBOV have been well elucidated. However, the intra-host dynamics that mainly reflect viral–host interactions still need to be studied. Here, we show a total of 710 intra-host single nucleotide variations (iSNVs) from deep-sequenced samples from EBOV-infected patients, through a well-tailored bioinformatics pipeline. We present a comprehensive distribution of iSNVs during this outbreak and along the EBOV genome. Analyses of iSNV and its allele frequency reveal that VP40 is the most conserved gene during this outbreak, and thus it would be an ideal therapeutic target. In the co-occurring iSNV network, varied iSNV sites present different selection features. Intriguingly, the T-to-C substitutions at the 3′-UTR of the nucleoprotein (NP; positions 3008 and 3011), observed in many patients, result in the upregulation of the transcription of NP through an Ebola mini-genome reporting system. Additionally, no iSNV enrichment within B-cell epitopes of GP has been observed. More... »
PAGES16151
http://scigraph.springernature.com/pub.10.1038/nmicrobiol.2016.151
DOIhttp://dx.doi.org/10.1038/nmicrobiol.2016.151
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1012901035
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/27595345
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"name": "dimensions_id",
"type": "PropertyValue",
"value": [
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]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1038/nmicrobiol.2016.151"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"27595345"
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}
],
"sameAs": [
"https://doi.org/10.1038/nmicrobiol.2016.151",
"https://app.dimensions.ai/details/publication/pub.1012901035"
],
"sdDataset": "articles",
"sdDatePublished": "2022-05-10T10:15",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
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"sdSource": "s3://com-springernature-scigraph/baseset/20220509/entities/gbq_results/article/article_717.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1038/nmicrobiol.2016.151"
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]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/nmicrobiol.2016.151'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/nmicrobiol.2016.151'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nmicrobiol.2016.151'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nmicrobiol.2016.151'
This table displays all metadata directly associated to this object as RDF triples.
412 TRIPLES
22 PREDICATES
113 URIs
96 LITERALS
20 BLANK NODES