Yeast molecular chaperone gene SSB2 is involved in the endoplasmic reticulum stress response View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04

AUTHORS

Wei Zhao, Hong-Jing Cui, Kun-Pei Qiu, Tao Zhou, Xiao-Shan Hong, Xin-Guang Liu

ABSTRACT

The Saccharomyces cerevisiae chaperone gene SSB2 belongs to the Hsp70 family. Unlike other HSP70 genes, SSB2 gene expression is reduced after heat shock. It has been reported that Ssb2p can be cross-linked to ribosome-bound nascent polypeptide chains, suggesting a potential role of SSB2 in the endoplasmic reticulum (ER) stress response. In this study, SSB2-deletion and SSB2-overexpression yeast strains were generated and applied to explore the potential mechanism by which SSB2 is involved in the tunicamycin (TM)-induced ER stress response. We demonstrate for the first time that SSB2 deficiency results in reduced resistance to TM, while overexpression of SSB2 increases resistance to TM in an IRE1-HAC1 pathway-dependent manner; these observations are related to changes in intracellular unfolded protein response activities (under the TM-stressed condition). Additionally, SSB2 deletion induces early apoptosis and it may play a causal role in the shortened replicative life span of ssb2Δ mutants observed in this study. These findings highlight the involvement of SSB2 in ER stress responses and ageing in yeast. More... »

PAGES

589-598

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10482-018-1189-3

DOI

http://dx.doi.org/10.1007/s10482-018-1189-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1107945150

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30382435


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

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": [
      {
        "affiliation": {
          "alternateName": "Guangdong Medical College", 
          "id": "https://www.grid.ac/institutes/grid.410560.6", 
          "name": [
            "Institute of Aging Research, Guangdong Medical University, 523808, Dongguan, Guangdong Province, China", 
            "Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, 523808, Dongguan, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhao", 
        "givenName": "Wei", 
        "id": "sg:person.01343337676.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01343337676.67"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Guangdong Medical College", 
          "id": "https://www.grid.ac/institutes/grid.410560.6", 
          "name": [
            "Institute of Aging Research, Guangdong Medical University, 523808, Dongguan, Guangdong Province, China", 
            "Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, 523808, Dongguan, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cui", 
        "givenName": "Hong-Jing", 
        "id": "sg:person.01274575614.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274575614.61"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Guangdong Medical College", 
          "id": "https://www.grid.ac/institutes/grid.410560.6", 
          "name": [
            "Institute of Aging Research, Guangdong Medical University, 523808, Dongguan, Guangdong Province, China", 
            "Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, 523808, Dongguan, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Qiu", 
        "givenName": "Kun-Pei", 
        "id": "sg:person.012313025677.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012313025677.77"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Guangdong Medical College", 
          "id": "https://www.grid.ac/institutes/grid.410560.6", 
          "name": [
            "Institute of Aging Research, Guangdong Medical University, 523808, Dongguan, Guangdong Province, China", 
            "Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, 523808, Dongguan, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhou", 
        "givenName": "Tao", 
        "id": "sg:person.010427025713.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010427025713.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Institute of Gynecology, Women and Children\u2019s Hospital of Guangdong Province, 511442, Guangzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hong", 
        "givenName": "Xiao-Shan", 
        "id": "sg:person.011224406313.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011224406313.72"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Guangdong Medical College", 
          "id": "https://www.grid.ac/institutes/grid.410560.6", 
          "name": [
            "Institute of Aging Research, Guangdong Medical University, 523808, Dongguan, Guangdong Province, China", 
            "Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, 523808, Dongguan, China", 
            "Institute of Biochemistry and Molecular Biology, Guangdong Medical University, 523808, Dongguan, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liu", 
        "givenName": "Xin-Guang", 
        "id": "sg:person.0740023276.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0740023276.83"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1196/annals.1299.032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000415929"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0092-8674(89)90059-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000697458"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0197-4580(99)00085-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002243209"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bmc.2009.12.070", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002783805"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1083/jcb.137.4.813", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003489743"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.pharmthera.2012.02.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005910893"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/acel.12032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006300055"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2183/pjab.91.469", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007867943"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1004019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011134829"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2012.12.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014226603"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3791/1209", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015955131"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0092-8674(92)90269-i", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019775408"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00175490", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019778530", 
          "https://doi.org/10.1007/bf00175490"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tim.2008.03.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020449841"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.270.47.28006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023671105"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11357-015-9788-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024237455", 
          "https://doi.org/10.1007/s11357-015-9788-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbabio.2006.05.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026972571"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1474-9728.2003.00033.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030833329"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/21.14.3329", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032385012"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/1831751a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032400036", 
          "https://doi.org/10.1038/1831751a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002940000180", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033300705", 
          "https://doi.org/10.1007/s002940000180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0092-8674(00)80928-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034780239"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/emboj/17.14.3981", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035210678"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/mcb.5.12.3517", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036342315"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/cdd.2009.219", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036817868", 
          "https://doi.org/10.1038/cdd.2009.219"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1042/bsr20140058", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040146431"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.exger.2008.08.044", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043778929"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/gerona/gln072", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043930926"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-007-2561-4_10", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044182473", 
          "https://doi.org/10.1007/978-94-007-2561-4_10"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10522-015-9550-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045186584", 
          "https://doi.org/10.1007/s10522-015-9550-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/gerona/glp052", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045709601"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/mcb.7.7.2568", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046599043"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1024121017841", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047385403", 
          "https://doi.org/10.1023/a:1024121017841"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/mmbr.67.3.376-399.2003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047590649"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/gerona/glu055", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048494802"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mib.2004.10.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049365963"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1083/jcb.150.4.731", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049519669"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13765-016-0167-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050925041", 
          "https://doi.org/10.1007/s13765-016-0167-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m112377200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051037958"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncb1524", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052523967", 
          "https://doi.org/10.1038/ncb1524"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncb1524", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052523967", 
          "https://doi.org/10.1038/ncb1524"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0896-6273(01)00432-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052872753"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1234055", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062467965"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4161/auto.6.2.11062", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072290644"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074455386", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1096/fasebj.13.14.2061", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074543331"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2017.06.038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090672956"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-04", 
    "datePublishedReg": "2019-04-01", 
    "description": "The Saccharomyces cerevisiae chaperone gene SSB2 belongs to the Hsp70 family. Unlike other HSP70 genes, SSB2 gene expression is reduced after heat shock. It has been reported that Ssb2p can be cross-linked to ribosome-bound nascent polypeptide chains, suggesting a potential role of SSB2 in the endoplasmic reticulum (ER) stress response. In this study, SSB2-deletion and SSB2-overexpression yeast strains were generated and applied to explore the potential mechanism by which SSB2 is involved in the tunicamycin (TM)-induced ER stress response. We demonstrate for the first time that SSB2 deficiency results in reduced resistance to TM, while overexpression of SSB2 increases resistance to TM in an IRE1-HAC1 pathway-dependent manner; these\u00a0observations\u00a0are\u00a0related\u00a0to changes in intracellular unfolded protein response activities (under the TM-stressed condition). Additionally, SSB2 deletion induces early apoptosis and it may play a causal role in the shortened replicative life span of ssb2\u0394 mutants observed in this study. These findings highlight the involvement of SSB2 in ER stress responses and ageing in yeast.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10482-018-1189-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.7010183", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1017348", 
        "issn": [
          "0003-6072", 
          "1572-9699"
        ], 
        "name": "Antonie van Leeuwenhoek", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "112"
      }
    ], 
    "name": "Yeast molecular chaperone gene SSB2 is involved in the endoplasmic reticulum stress response", 
    "pagination": "589-598", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "17c60ef0e2f14c786ef22e473f7ac1ba81dd5671acc8b8c2fda2b385cf1648d9"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30382435"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0372625"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10482-018-1189-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1107945150"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10482-018-1189-3", 
      "https://app.dimensions.ai/details/publication/pub.1107945150"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:54", 
    "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/v90/0000000359_0000000359/records_29200_00000003.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs10482-018-1189-3"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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/s10482-018-1189-3'

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/s10482-018-1189-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10482-018-1189-3'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10482-018-1189-3'


 

This table displays all metadata directly associated to this object as RDF triples.

257 TRIPLES      21 PREDICATES      75 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10482-018-1189-3 schema:about anzsrc-for:06
2 anzsrc-for:0601
3 schema:author N18addbf6a4554d9b843d159cd4ffb929
4 schema:citation sg:pub.10.1007/978-94-007-2561-4_10
5 sg:pub.10.1007/bf00175490
6 sg:pub.10.1007/s002940000180
7 sg:pub.10.1007/s10522-015-9550-7
8 sg:pub.10.1007/s11357-015-9788-7
9 sg:pub.10.1007/s13765-016-0167-6
10 sg:pub.10.1023/a:1024121017841
11 sg:pub.10.1038/1831751a0
12 sg:pub.10.1038/cdd.2009.219
13 sg:pub.10.1038/ncb1524
14 https://app.dimensions.ai/details/publication/pub.1074455386
15 https://doi.org/10.1016/0092-8674(89)90059-7
16 https://doi.org/10.1016/0092-8674(92)90269-i
17 https://doi.org/10.1016/j.bbabio.2006.05.022
18 https://doi.org/10.1016/j.bmc.2009.12.070
19 https://doi.org/10.1016/j.cell.2012.12.001
20 https://doi.org/10.1016/j.cell.2017.06.038
21 https://doi.org/10.1016/j.exger.2008.08.044
22 https://doi.org/10.1016/j.mib.2004.10.012
23 https://doi.org/10.1016/j.pharmthera.2012.02.003
24 https://doi.org/10.1016/j.tim.2008.03.003
25 https://doi.org/10.1016/s0092-8674(00)80928-9
26 https://doi.org/10.1016/s0197-4580(99)00085-8
27 https://doi.org/10.1016/s0896-6273(01)00432-9
28 https://doi.org/10.1042/bsr20140058
29 https://doi.org/10.1046/j.1474-9728.2003.00033.x
30 https://doi.org/10.1074/jbc.270.47.28006
31 https://doi.org/10.1074/jbc.m112377200
32 https://doi.org/10.1083/jcb.137.4.813
33 https://doi.org/10.1083/jcb.150.4.731
34 https://doi.org/10.1093/emboj/17.14.3981
35 https://doi.org/10.1093/gerona/gln072
36 https://doi.org/10.1093/gerona/glp052
37 https://doi.org/10.1093/gerona/glu055
38 https://doi.org/10.1093/nar/21.14.3329
39 https://doi.org/10.1096/fasebj.13.14.2061
40 https://doi.org/10.1111/acel.12032
41 https://doi.org/10.1126/science.1234055
42 https://doi.org/10.1128/mcb.5.12.3517
43 https://doi.org/10.1128/mcb.7.7.2568
44 https://doi.org/10.1128/mmbr.67.3.376-399.2003
45 https://doi.org/10.1196/annals.1299.032
46 https://doi.org/10.1371/journal.pgen.1004019
47 https://doi.org/10.2183/pjab.91.469
48 https://doi.org/10.3791/1209
49 https://doi.org/10.4161/auto.6.2.11062
50 schema:datePublished 2019-04
51 schema:datePublishedReg 2019-04-01
52 schema:description The Saccharomyces cerevisiae chaperone gene SSB2 belongs to the Hsp70 family. Unlike other HSP70 genes, SSB2 gene expression is reduced after heat shock. It has been reported that Ssb2p can be cross-linked to ribosome-bound nascent polypeptide chains, suggesting a potential role of SSB2 in the endoplasmic reticulum (ER) stress response. In this study, SSB2-deletion and SSB2-overexpression yeast strains were generated and applied to explore the potential mechanism by which SSB2 is involved in the tunicamycin (TM)-induced ER stress response. We demonstrate for the first time that SSB2 deficiency results in reduced resistance to TM, while overexpression of SSB2 increases resistance to TM in an IRE1-HAC1 pathway-dependent manner; these observations are related to changes in intracellular unfolded protein response activities (under the TM-stressed condition). Additionally, SSB2 deletion induces early apoptosis and it may play a causal role in the shortened replicative life span of ssb2Δ mutants observed in this study. These findings highlight the involvement of SSB2 in ER stress responses and ageing in yeast.
53 schema:genre research_article
54 schema:inLanguage en
55 schema:isAccessibleForFree false
56 schema:isPartOf N9c82e0b853414ee288ae3ef8eb4b118e
57 Na2acc1a753524e5c895a52b08b1a6e42
58 sg:journal.1017348
59 schema:name Yeast molecular chaperone gene SSB2 is involved in the endoplasmic reticulum stress response
60 schema:pagination 589-598
61 schema:productId N0f11b7349eb54fb6b97a4ff656107e94
62 N15d973f953df4c1595ba3da9c49c6f62
63 N6f90944accf44892855958f383e229cf
64 Nc8c2288be3ed48ef8431ea5978a4d618
65 Nf78e441a50a840b898ec02c713b7f3cd
66 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107945150
67 https://doi.org/10.1007/s10482-018-1189-3
68 schema:sdDatePublished 2019-04-11T11:54
69 schema:sdLicense https://scigraph.springernature.com/explorer/license/
70 schema:sdPublisher Nfa90fef4fc2b46eb8ed2994ad7bc2c20
71 schema:url https://link.springer.com/10.1007%2Fs10482-018-1189-3
72 sgo:license sg:explorer/license/
73 sgo:sdDataset articles
74 rdf:type schema:ScholarlyArticle
75 N0f11b7349eb54fb6b97a4ff656107e94 schema:name nlm_unique_id
76 schema:value 0372625
77 rdf:type schema:PropertyValue
78 N15d973f953df4c1595ba3da9c49c6f62 schema:name readcube_id
79 schema:value 17c60ef0e2f14c786ef22e473f7ac1ba81dd5671acc8b8c2fda2b385cf1648d9
80 rdf:type schema:PropertyValue
81 N18addbf6a4554d9b843d159cd4ffb929 rdf:first sg:person.01343337676.67
82 rdf:rest Ndd38efa3cdb947bb918b2809eb6c704b
83 N1c3a4ecf64dc4ff0b0150b2c79e74704 rdf:first sg:person.010427025713.47
84 rdf:rest N1c947fc15b59476296dc6b4ebcf11796
85 N1c947fc15b59476296dc6b4ebcf11796 rdf:first sg:person.011224406313.72
86 rdf:rest N23b16e69d0b54723baf2d5c05a5af072
87 N23b16e69d0b54723baf2d5c05a5af072 rdf:first sg:person.0740023276.83
88 rdf:rest rdf:nil
89 N52c21dfa0f7b48aa80330a1103c76d6c rdf:first sg:person.012313025677.77
90 rdf:rest N1c3a4ecf64dc4ff0b0150b2c79e74704
91 N6f90944accf44892855958f383e229cf schema:name pubmed_id
92 schema:value 30382435
93 rdf:type schema:PropertyValue
94 N9c82e0b853414ee288ae3ef8eb4b118e schema:issueNumber 4
95 rdf:type schema:PublicationIssue
96 Na2acc1a753524e5c895a52b08b1a6e42 schema:volumeNumber 112
97 rdf:type schema:PublicationVolume
98 Nc8c2288be3ed48ef8431ea5978a4d618 schema:name dimensions_id
99 schema:value pub.1107945150
100 rdf:type schema:PropertyValue
101 Nd4e44644868f4b2a84cf624e0547516a schema:name Institute of Gynecology, Women and Children’s Hospital of Guangdong Province, 511442, Guangzhou, China
102 rdf:type schema:Organization
103 Ndd38efa3cdb947bb918b2809eb6c704b rdf:first sg:person.01274575614.61
104 rdf:rest N52c21dfa0f7b48aa80330a1103c76d6c
105 Nf78e441a50a840b898ec02c713b7f3cd schema:name doi
106 schema:value 10.1007/s10482-018-1189-3
107 rdf:type schema:PropertyValue
108 Nfa90fef4fc2b46eb8ed2994ad7bc2c20 schema:name Springer Nature - SN SciGraph project
109 rdf:type schema:Organization
110 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
111 schema:name Biological Sciences
112 rdf:type schema:DefinedTerm
113 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
114 schema:name Biochemistry and Cell Biology
115 rdf:type schema:DefinedTerm
116 sg:grant.7010183 http://pending.schema.org/fundedItem sg:pub.10.1007/s10482-018-1189-3
117 rdf:type schema:MonetaryGrant
118 sg:journal.1017348 schema:issn 0003-6072
119 1572-9699
120 schema:name Antonie van Leeuwenhoek
121 rdf:type schema:Periodical
122 sg:person.010427025713.47 schema:affiliation https://www.grid.ac/institutes/grid.410560.6
123 schema:familyName Zhou
124 schema:givenName Tao
125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010427025713.47
126 rdf:type schema:Person
127 sg:person.011224406313.72 schema:affiliation Nd4e44644868f4b2a84cf624e0547516a
128 schema:familyName Hong
129 schema:givenName Xiao-Shan
130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011224406313.72
131 rdf:type schema:Person
132 sg:person.012313025677.77 schema:affiliation https://www.grid.ac/institutes/grid.410560.6
133 schema:familyName Qiu
134 schema:givenName Kun-Pei
135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012313025677.77
136 rdf:type schema:Person
137 sg:person.01274575614.61 schema:affiliation https://www.grid.ac/institutes/grid.410560.6
138 schema:familyName Cui
139 schema:givenName Hong-Jing
140 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274575614.61
141 rdf:type schema:Person
142 sg:person.01343337676.67 schema:affiliation https://www.grid.ac/institutes/grid.410560.6
143 schema:familyName Zhao
144 schema:givenName Wei
145 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01343337676.67
146 rdf:type schema:Person
147 sg:person.0740023276.83 schema:affiliation https://www.grid.ac/institutes/grid.410560.6
148 schema:familyName Liu
149 schema:givenName Xin-Guang
150 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0740023276.83
151 rdf:type schema:Person
152 sg:pub.10.1007/978-94-007-2561-4_10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044182473
153 https://doi.org/10.1007/978-94-007-2561-4_10
154 rdf:type schema:CreativeWork
155 sg:pub.10.1007/bf00175490 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019778530
156 https://doi.org/10.1007/bf00175490
157 rdf:type schema:CreativeWork
158 sg:pub.10.1007/s002940000180 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033300705
159 https://doi.org/10.1007/s002940000180
160 rdf:type schema:CreativeWork
161 sg:pub.10.1007/s10522-015-9550-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045186584
162 https://doi.org/10.1007/s10522-015-9550-7
163 rdf:type schema:CreativeWork
164 sg:pub.10.1007/s11357-015-9788-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024237455
165 https://doi.org/10.1007/s11357-015-9788-7
166 rdf:type schema:CreativeWork
167 sg:pub.10.1007/s13765-016-0167-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050925041
168 https://doi.org/10.1007/s13765-016-0167-6
169 rdf:type schema:CreativeWork
170 sg:pub.10.1023/a:1024121017841 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047385403
171 https://doi.org/10.1023/a:1024121017841
172 rdf:type schema:CreativeWork
173 sg:pub.10.1038/1831751a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032400036
174 https://doi.org/10.1038/1831751a0
175 rdf:type schema:CreativeWork
176 sg:pub.10.1038/cdd.2009.219 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036817868
177 https://doi.org/10.1038/cdd.2009.219
178 rdf:type schema:CreativeWork
179 sg:pub.10.1038/ncb1524 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052523967
180 https://doi.org/10.1038/ncb1524
181 rdf:type schema:CreativeWork
182 https://app.dimensions.ai/details/publication/pub.1074455386 schema:CreativeWork
183 https://doi.org/10.1016/0092-8674(89)90059-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000697458
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1016/0092-8674(92)90269-i schema:sameAs https://app.dimensions.ai/details/publication/pub.1019775408
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1016/j.bbabio.2006.05.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026972571
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1016/j.bmc.2009.12.070 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002783805
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1016/j.cell.2012.12.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014226603
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1016/j.cell.2017.06.038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090672956
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1016/j.exger.2008.08.044 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043778929
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1016/j.mib.2004.10.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049365963
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1016/j.pharmthera.2012.02.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005910893
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1016/j.tim.2008.03.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020449841
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1016/s0092-8674(00)80928-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034780239
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1016/s0197-4580(99)00085-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002243209
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1016/s0896-6273(01)00432-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052872753
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1042/bsr20140058 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040146431
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1046/j.1474-9728.2003.00033.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1030833329
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1074/jbc.270.47.28006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023671105
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1074/jbc.m112377200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051037958
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1083/jcb.137.4.813 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003489743
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1083/jcb.150.4.731 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049519669
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1093/emboj/17.14.3981 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035210678
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1093/gerona/gln072 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043930926
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1093/gerona/glp052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045709601
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1093/gerona/glu055 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048494802
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1093/nar/21.14.3329 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032385012
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1096/fasebj.13.14.2061 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074543331
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1111/acel.12032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006300055
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1126/science.1234055 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062467965
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1128/mcb.5.12.3517 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036342315
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1128/mcb.7.7.2568 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046599043
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1128/mmbr.67.3.376-399.2003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047590649
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1196/annals.1299.032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000415929
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1371/journal.pgen.1004019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011134829
246 rdf:type schema:CreativeWork
247 https://doi.org/10.2183/pjab.91.469 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007867943
248 rdf:type schema:CreativeWork
249 https://doi.org/10.3791/1209 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015955131
250 rdf:type schema:CreativeWork
251 https://doi.org/10.4161/auto.6.2.11062 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072290644
252 rdf:type schema:CreativeWork
253 https://www.grid.ac/institutes/grid.410560.6 schema:alternateName Guangdong Medical College
254 schema:name Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, 523808, Dongguan, China
255 Institute of Aging Research, Guangdong Medical University, 523808, Dongguan, Guangdong Province, China
256 Institute of Biochemistry and Molecular Biology, Guangdong Medical University, 523808, Dongguan, China
257 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...