2011
AUTHORSJunqiu Liu , Guimin Luo , Ying Mu , Ick Young Kim , Daewon Jeong
ABSTRACTIn mammals and some bacteria, small molecular weight (∼10kDa) selenoprotein W (SelW) includes a single selenocysteine (Sec) residue in the Cys-X-X-Sec redox motif of the N-terminal region. It is expressed in a broad range of organisms, from mammals to bacteria. It is ubiquitously distributed in many tissues, and especially highly expressed in the skeletal muscle, heart and brain. Although many bacterial and frog SelW-like proteins contain Cys instead of Sec, it is highly conserved in many species of primates, domestic animals, rodents, amphibians, fish and bacteria. SelW is down- or up-regulated in response to oxidative stress, which suggests a redox function. SelW has Cys-X-X-Sec or Cys-X-X-Cys, both of which function as catalytic sites of redox proteins, such as thioredoxin, and allows reversible binding of glutathione to the Cys-37 residue of its protein. Moreover, since cells that overexpress SelW are resistant to exogenous oxidative stress, it is suggested that SelW may participate in an antioxidant function. However, the exact physiological function and enzymatic activity of SelW are largely unknown. This chapter will review what is currently known about SelW. More... »
PAGES97-105
Selenoproteins and Mimics
ISBN
978-3-642-22235-1
978-3-642-22236-8
http://scigraph.springernature.com/pub.10.1007/978-3-642-22236-8_7
DOIhttp://dx.doi.org/10.1007/978-3-642-22236-8_7
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1015182574
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0601",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Biochemistry and Cell Biology",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Biological Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"familyName": "Liu",
"givenName": "Junqiu",
"type": "Person"
},
{
"familyName": "Luo",
"givenName": "Guimin",
"type": "Person"
},
{
"familyName": "Mu",
"givenName": "Ying",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Korea University",
"id": "https://www.grid.ac/institutes/grid.222754.4",
"name": [
"Laboratory of Cellular and Molecular Biochemistry, School of Life Sciences and Biotechnology, Korea University, Seoul, 136-701, Korea"
],
"type": "Organization"
},
"familyName": "Kim",
"givenName": "Ick Young",
"id": "sg:person.01204653250.90",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01204653250.90"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Yeungnam University",
"id": "https://www.grid.ac/institutes/grid.413028.c",
"name": [
"Department of Microbiology, Yeungnam University College of Medicine, Daegu, 705-717, Korea"
],
"type": "Organization"
},
"familyName": "Jeong",
"givenName": "Daewon",
"id": "sg:person.0733074237.10",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0733074237.10"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1074/jbc.r800045200",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000954884"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jinorgbio.2004.06.003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001421674"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0167-4781(03)00078-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001812355"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0167-4781(03)00078-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001812355"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1023/b:nere.0000014832.78725.1a",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001997731",
"https://doi.org/10.1023/b:nere.0000014832.78725.1a"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1074/jbc.272.25.15661",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003305498"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0378-1119(97)00113-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005841114"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jinorgbio.2006.05.018",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010651022"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1006/geno.1999.6101",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010981190"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1432-1033.1983.tb07429.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013424048"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0891-5849(01)00480-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018930552"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1023/a:1020241032336",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020454461",
"https://doi.org/10.1023/a:1020241032336"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.brainresrev.2004.03.004",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021398364"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/mus.10304",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023603021"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1023/a:1007065829068",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025272410",
"https://doi.org/10.1023/a:1007065829068"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.92.19.8749",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026058645"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0955-2863(00)00130-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027990959"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1006/abbi.1998.0949",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028312404"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10059-009-0074-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032202044",
"https://doi.org/10.1007/s10059-009-0074-3"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10059-009-0074-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032202044",
"https://doi.org/10.1007/s10059-009-0074-3"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10059-009-0074-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032202044",
"https://doi.org/10.1007/s10059-009-0074-3"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.bbrc.2005.03.080",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032222691"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0046-8177(85)80110-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037112058"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jinorgbio.2005.06.035",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037189076"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1152/physrev.00018.2001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038118386"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.bbrc.2003.11.133",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040753986"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0162-0134(00)00219-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041017384"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0162-0134(02)00453-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045613865"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0162-0134(02)00453-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045613865"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0014-5793(02)02628-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045847272"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/pl00000666",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050000160",
"https://doi.org/10.1007/pl00000666"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1146/annurev.nutr.19.1.1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050364473"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1074/jbc.m705410200",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053225171"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/bi602462q",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1055206825"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/bi602462q",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1055206825"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1042/bst20051378",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1056717449"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.128.3331.1090",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062471811"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1075983829",
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1076818327",
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1079196943",
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/jn/119.7.1010",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1079317664"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1096/fasebj.9.5.7896009",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1082555167"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1082707415",
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1082769140",
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/jn/127.3.394",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1083064324"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1083154269",
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/jn/127.11.2165",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1083165849"
],
"type": "CreativeWork"
}
],
"datePublished": "2011",
"datePublishedReg": "2011-01-01",
"description": "In mammals and some bacteria, small molecular weight (\u223c10kDa) selenoprotein W (SelW) includes a single selenocysteine (Sec) residue in the Cys-X-X-Sec redox motif of the N-terminal region. It is expressed in a broad range of organisms, from mammals to bacteria. It is ubiquitously distributed in many tissues, and especially highly expressed in the skeletal muscle, heart and brain. Although many bacterial and frog SelW-like proteins contain Cys instead of Sec, it is highly conserved in many species of primates, domestic animals, rodents, amphibians, fish and bacteria. SelW is down- or up-regulated in response to oxidative stress, which suggests a redox function. SelW has Cys-X-X-Sec or Cys-X-X-Cys, both of which function as catalytic sites of redox proteins, such as thioredoxin, and allows reversible binding of glutathione to the Cys-37 residue of its protein. Moreover, since cells that overexpress SelW are resistant to exogenous oxidative stress, it is suggested that SelW may participate in an antioxidant function. However, the exact physiological function and enzymatic activity of SelW are largely unknown. This chapter will review what is currently known about SelW.",
"genre": "chapter",
"id": "sg:pub.10.1007/978-3-642-22236-8_7",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": {
"isbn": [
"978-3-642-22235-1",
"978-3-642-22236-8"
],
"name": "Selenoproteins and Mimics",
"type": "Book"
},
"name": "Selenoprotein W",
"pagination": "97-105",
"productId": [
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/978-3-642-22236-8_7"
]
},
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"4855f0a6b4bf5deabcd1256264b4c9846dce5738f7b4560b6444978688a77040"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1015182574"
]
}
],
"publisher": {
"location": "Berlin, Heidelberg",
"name": "Springer Berlin Heidelberg",
"type": "Organisation"
},
"sameAs": [
"https://doi.org/10.1007/978-3-642-22236-8_7",
"https://app.dimensions.ai/details/publication/pub.1015182574"
],
"sdDataset": "chapters",
"sdDatePublished": "2019-04-15T21:00",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8690_00000252.jsonl",
"type": "Chapter",
"url": "http://link.springer.com/10.1007/978-3-642-22236-8_7"
}
]
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.10.1007/978-3-642-22236-8_7'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-22236-8_7'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-22236-8_7'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-22236-8_7'
This table displays all metadata directly associated to this object as RDF triples.
209 TRIPLES
22 PREDICATES
68 URIs
19 LITERALS
7 BLANK NODES