Neuropeptide VGF-Derived Peptide LQEQ-19 has Neuroprotective Effects in an In Vitro Model of Amyotrophic Lateral Sclerosis View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04

AUTHORS

Y. Noda, S. Motoyama, S. Nakamura, M. Shimazawa, H. Hara

ABSTRACT

Amyotrophic lateral sclerosis (ALS) is a severe neurodegenerative disease caused by the loss of upper and lower motor neurons resulting in muscle weakness and paralysis. Recently, VGF, a neuropeptide that is a precursor of bioactive polypeptides, was found to be decreased in ALS patients, and its inducer exerted protective effects in models of ALS. These findings suggested that VGF was involved in the pathology of ALS. Here, we investigated the neuroprotective effects of various VGF-derived peptides in an in vitro ALS model. We applied seven VGF-derived peptides (TLQP-21, AQEE-30, AQEE-11, LQEQ-19, QEEL-16, LENY-13, and HVLL-7) to the motor neuron-derived cell line, NSC-34, expressing SOD1G93A, which is one of the mutated proteins responsible for familial ALS. Nuclear staining revealed that AQEE-30 and LQEQ-19, which are derived from the C-terminal polypeptide of the VGF precursor protein, attenuated neuronal cell death. Furthermore, immunoblot analysis demonstrated that LQEQ-19 promoted the phosphorylation of Akt and extracellular signal-regulated kinase (ERK) 1/2, and inhibiting these mitogen-activated MAP kinases (MAPKs) with phosphoinositide 3-kinase or MEK/ERK inhibitors, eliminated the neuroprotective effects of LQEQ-19. In conclusion, these results suggest that VGF C-terminal peptides exert their neuroprotective effects via activation of MAPKs such as Akt and ERK1/2. Furthermore, these findings indicate that VGF-derived peptides have potential application in ALS therapy. More... »

PAGES

897-904

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11064-019-02725-4

DOI

http://dx.doi.org/10.1007/s11064-019-02725-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111498671

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30656593


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/2008/1109", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Neurosciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Gifu Pharmaceutical University", 
          "id": "https://www.grid.ac/institutes/grid.411697.c", 
          "name": [
            "Molecular Pharmacology, Department of Biofunctional Evaluation, Gifu Pharmaceutical University, 1-25-4 Daigaku-nishi, 501-1196, Gifu, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Noda", 
        "givenName": "Y.", 
        "id": "sg:person.0653035147.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0653035147.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Gifu Pharmaceutical University", 
          "id": "https://www.grid.ac/institutes/grid.411697.c", 
          "name": [
            "Molecular Pharmacology, Department of Biofunctional Evaluation, Gifu Pharmaceutical University, 1-25-4 Daigaku-nishi, 501-1196, Gifu, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Motoyama", 
        "givenName": "S.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Gifu Pharmaceutical University", 
          "id": "https://www.grid.ac/institutes/grid.411697.c", 
          "name": [
            "Molecular Pharmacology, Department of Biofunctional Evaluation, Gifu Pharmaceutical University, 1-25-4 Daigaku-nishi, 501-1196, Gifu, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nakamura", 
        "givenName": "S.", 
        "id": "sg:person.01317601615.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01317601615.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Gifu Pharmaceutical University", 
          "id": "https://www.grid.ac/institutes/grid.411697.c", 
          "name": [
            "Molecular Pharmacology, Department of Biofunctional Evaluation, Gifu Pharmaceutical University, 1-25-4 Daigaku-nishi, 501-1196, Gifu, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shimazawa", 
        "givenName": "M.", 
        "id": "sg:person.01136611255.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136611255.99"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Gifu Pharmaceutical University", 
          "id": "https://www.grid.ac/institutes/grid.411697.c", 
          "name": [
            "Molecular Pharmacology, Department of Biofunctional Evaluation, Gifu Pharmaceutical University, 1-25-4 Daigaku-nishi, 501-1196, Gifu, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hara", 
        "givenName": "H.", 
        "id": "sg:person.0710456250.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0710456250.87"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1074/jbc.m113.497214", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001062907"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/prp2.140", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001360134"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/jcbfm.2011.155", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003474597"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/jcbfm.2011.155", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003474597"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0164689", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004373317"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0079760", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005279570"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neulet.2010.11.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007645094"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0109305", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008412190"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12263-009-0110-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013231141", 
          "https://doi.org/10.1007/s12263-009-0110-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12263-009-0110-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013231141", 
          "https://doi.org/10.1007/s12263-009-0110-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.brainres.2008.02.073", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018762620"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.0293-12.2012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020343284"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroscience.2007.08.029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020681549"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3410/b3-18", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021222218"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m113.510917", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021334742"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1677/joe-10-0189", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025257540"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fendo.2015.00003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025687976"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.5987-09.2010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032881292"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuropharm.2005.05.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032911895"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuropharm.2005.05.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032911895"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1677/joe.0.1790227", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034932019"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1677/joe.0.1790227", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034932019"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12035-015-9165-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035560327", 
          "https://doi.org/10.1007/s12035-015-9165-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12035-015-9165-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035560327", 
          "https://doi.org/10.1007/s12035-015-9165-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/bph.12277", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036266165"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0304-3940(95)98235-p", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045138706"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1471-4159.2002.00842.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047383623"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.1127-09.2009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049754408"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0015307", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052427107"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7150/ijms.5.92", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073619269"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.23-34-10800.2003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1076604329"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.09-12-04122.1989", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079025050"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0172724", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083896548"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fphar.2017.00167", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084434087"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/ijms18030612", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084435908"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fncel.2017.00158", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085748837"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/mp.2017.233", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092804821", 
          "https://doi.org/10.1038/mp.2017.233"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/mp.2017.233", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092804821", 
          "https://doi.org/10.1038/mp.2017.233"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/mp.2017.233", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092804821", 
          "https://doi.org/10.1038/mp.2017.233"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-04", 
    "datePublishedReg": "2019-04-01", 
    "description": "Amyotrophic lateral sclerosis (ALS) is a severe neurodegenerative disease caused by the loss of upper and lower motor neurons resulting in muscle weakness and paralysis. Recently, VGF, a neuropeptide that is a precursor of bioactive polypeptides, was found to be decreased in ALS patients, and its inducer exerted protective effects in models of ALS. These findings suggested that VGF was involved in the pathology of ALS. Here, we investigated the neuroprotective effects of various VGF-derived peptides in an in vitro ALS model. We applied seven VGF-derived peptides (TLQP-21, AQEE-30, AQEE-11, LQEQ-19, QEEL-16, LENY-13, and HVLL-7) to the motor neuron-derived cell line, NSC-34, expressing SOD1G93A, which is one of the mutated proteins responsible for familial ALS. Nuclear staining revealed that AQEE-30 and LQEQ-19, which are derived from the C-terminal polypeptide of the VGF precursor protein, attenuated neuronal cell death. Furthermore, immunoblot analysis demonstrated that LQEQ-19 promoted the phosphorylation of Akt and extracellular signal-regulated kinase (ERK) 1/2, and inhibiting these mitogen-activated MAP kinases (MAPKs) with phosphoinositide 3-kinase or MEK/ERK inhibitors, eliminated the neuroprotective effects of LQEQ-19. In conclusion, these results suggest that VGF C-terminal peptides exert their neuroprotective effects via activation of MAPKs such as Akt and ERK1/2. Furthermore, these findings indicate that VGF-derived peptides have potential application in ALS therapy.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11064-019-02725-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1085962", 
        "issn": [
          "0364-3190", 
          "1573-6903"
        ], 
        "name": "Neurochemical Research", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "44"
      }
    ], 
    "name": "Neuropeptide VGF-Derived Peptide LQEQ-19 has Neuroprotective Effects in an In Vitro Model of Amyotrophic Lateral Sclerosis", 
    "pagination": "897-904", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "912c8380bb4bbb8414eab56169544785fbc4532e656399bedc405de1a3507138"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30656593"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "7613461"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11064-019-02725-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111498671"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11064-019-02725-4", 
      "https://app.dimensions.ai/details/publication/pub.1111498671"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:31", 
    "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/v90/0000000370_0000000370/records_46757_00000003.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11064-019-02725-4"
  }
]
 

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/s11064-019-02725-4'

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/s11064-019-02725-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11064-019-02725-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11064-019-02725-4'


 

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

195 TRIPLES      21 PREDICATES      61 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11064-019-02725-4 schema:about anzsrc-for:11
2 anzsrc-for:1109
3 schema:author Na26e1af27d25423a9b3ac8bb45aaeecb
4 schema:citation sg:pub.10.1007/s12035-015-9165-7
5 sg:pub.10.1007/s12263-009-0110-0
6 sg:pub.10.1038/mp.2017.233
7 https://doi.org/10.1002/prp2.140
8 https://doi.org/10.1016/0304-3940(95)98235-p
9 https://doi.org/10.1016/j.brainres.2008.02.073
10 https://doi.org/10.1016/j.neulet.2010.11.008
11 https://doi.org/10.1016/j.neuropharm.2005.05.015
12 https://doi.org/10.1016/j.neuroscience.2007.08.029
13 https://doi.org/10.1038/jcbfm.2011.155
14 https://doi.org/10.1046/j.1471-4159.2002.00842.x
15 https://doi.org/10.1074/jbc.m113.497214
16 https://doi.org/10.1074/jbc.m113.510917
17 https://doi.org/10.1111/bph.12277
18 https://doi.org/10.1371/journal.pone.0015307
19 https://doi.org/10.1371/journal.pone.0079760
20 https://doi.org/10.1371/journal.pone.0109305
21 https://doi.org/10.1371/journal.pone.0164689
22 https://doi.org/10.1371/journal.pone.0172724
23 https://doi.org/10.1523/jneurosci.0293-12.2012
24 https://doi.org/10.1523/jneurosci.09-12-04122.1989
25 https://doi.org/10.1523/jneurosci.1127-09.2009
26 https://doi.org/10.1523/jneurosci.23-34-10800.2003
27 https://doi.org/10.1523/jneurosci.5987-09.2010
28 https://doi.org/10.1677/joe-10-0189
29 https://doi.org/10.1677/joe.0.1790227
30 https://doi.org/10.3389/fendo.2015.00003
31 https://doi.org/10.3389/fncel.2017.00158
32 https://doi.org/10.3389/fphar.2017.00167
33 https://doi.org/10.3390/ijms18030612
34 https://doi.org/10.3410/b3-18
35 https://doi.org/10.7150/ijms.5.92
36 schema:datePublished 2019-04
37 schema:datePublishedReg 2019-04-01
38 schema:description Amyotrophic lateral sclerosis (ALS) is a severe neurodegenerative disease caused by the loss of upper and lower motor neurons resulting in muscle weakness and paralysis. Recently, VGF, a neuropeptide that is a precursor of bioactive polypeptides, was found to be decreased in ALS patients, and its inducer exerted protective effects in models of ALS. These findings suggested that VGF was involved in the pathology of ALS. Here, we investigated the neuroprotective effects of various VGF-derived peptides in an in vitro ALS model. We applied seven VGF-derived peptides (TLQP-21, AQEE-30, AQEE-11, LQEQ-19, QEEL-16, LENY-13, and HVLL-7) to the motor neuron-derived cell line, NSC-34, expressing SOD1<sup>G93A</sup>, which is one of the mutated proteins responsible for familial ALS. Nuclear staining revealed that AQEE-30 and LQEQ-19, which are derived from the C-terminal polypeptide of the VGF precursor protein, attenuated neuronal cell death. Furthermore, immunoblot analysis demonstrated that LQEQ-19 promoted the phosphorylation of Akt and extracellular signal-regulated kinase (ERK) 1/2, and inhibiting these mitogen-activated MAP kinases (MAPKs) with phosphoinositide 3-kinase or MEK/ERK inhibitors, eliminated the neuroprotective effects of LQEQ-19. In conclusion, these results suggest that VGF C-terminal peptides exert their neuroprotective effects via activation of MAPKs such as Akt and ERK1/2. Furthermore, these findings indicate that VGF-derived peptides have potential application in ALS therapy.
39 schema:genre research_article
40 schema:inLanguage en
41 schema:isAccessibleForFree false
42 schema:isPartOf N6719cc8b3d884da9b858eefb0fa10438
43 Ne8197dcae69240bb95db1801070e7d5e
44 sg:journal.1085962
45 schema:name Neuropeptide VGF-Derived Peptide LQEQ-19 has Neuroprotective Effects in an In Vitro Model of Amyotrophic Lateral Sclerosis
46 schema:pagination 897-904
47 schema:productId N5bb5ff1fd58744eb8a9a57ed91c7b978
48 Naca0051c1362452eb9a97d0d8d8a040b
49 Nd3beb3e259464bbebfb4769085368ba6
50 Ndc996030fb9d46f29bcaa7807a51bd97
51 Nf10bf6700ada4f4b9cbcb2b52a5e5bbd
52 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111498671
53 https://doi.org/10.1007/s11064-019-02725-4
54 schema:sdDatePublished 2019-04-11T13:31
55 schema:sdLicense https://scigraph.springernature.com/explorer/license/
56 schema:sdPublisher N6e5676a1476f44c08f137e00cf622e23
57 schema:url https://link.springer.com/10.1007%2Fs11064-019-02725-4
58 sgo:license sg:explorer/license/
59 sgo:sdDataset articles
60 rdf:type schema:ScholarlyArticle
61 N025f87e804414933a23345e898c1731b rdf:first sg:person.01317601615.02
62 rdf:rest N77fd6dded41140b5a54bc5ee6675fc2d
63 N5724e2c313db4514aa0002a0b89fa74a rdf:first N7fa67c7dedfc477ab14e0d2feb737d63
64 rdf:rest N025f87e804414933a23345e898c1731b
65 N5bb5ff1fd58744eb8a9a57ed91c7b978 schema:name pubmed_id
66 schema:value 30656593
67 rdf:type schema:PropertyValue
68 N5dda8e77c4d14c718c3fcaab5e00921b rdf:first sg:person.0710456250.87
69 rdf:rest rdf:nil
70 N6719cc8b3d884da9b858eefb0fa10438 schema:issueNumber 4
71 rdf:type schema:PublicationIssue
72 N6e5676a1476f44c08f137e00cf622e23 schema:name Springer Nature - SN SciGraph project
73 rdf:type schema:Organization
74 N77fd6dded41140b5a54bc5ee6675fc2d rdf:first sg:person.01136611255.99
75 rdf:rest N5dda8e77c4d14c718c3fcaab5e00921b
76 N7fa67c7dedfc477ab14e0d2feb737d63 schema:affiliation https://www.grid.ac/institutes/grid.411697.c
77 schema:familyName Motoyama
78 schema:givenName S.
79 rdf:type schema:Person
80 Na26e1af27d25423a9b3ac8bb45aaeecb rdf:first sg:person.0653035147.28
81 rdf:rest N5724e2c313db4514aa0002a0b89fa74a
82 Naca0051c1362452eb9a97d0d8d8a040b schema:name doi
83 schema:value 10.1007/s11064-019-02725-4
84 rdf:type schema:PropertyValue
85 Nd3beb3e259464bbebfb4769085368ba6 schema:name dimensions_id
86 schema:value pub.1111498671
87 rdf:type schema:PropertyValue
88 Ndc996030fb9d46f29bcaa7807a51bd97 schema:name readcube_id
89 schema:value 912c8380bb4bbb8414eab56169544785fbc4532e656399bedc405de1a3507138
90 rdf:type schema:PropertyValue
91 Ne8197dcae69240bb95db1801070e7d5e schema:volumeNumber 44
92 rdf:type schema:PublicationVolume
93 Nf10bf6700ada4f4b9cbcb2b52a5e5bbd schema:name nlm_unique_id
94 schema:value 7613461
95 rdf:type schema:PropertyValue
96 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
97 schema:name Medical and Health Sciences
98 rdf:type schema:DefinedTerm
99 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
100 schema:name Neurosciences
101 rdf:type schema:DefinedTerm
102 sg:journal.1085962 schema:issn 0364-3190
103 1573-6903
104 schema:name Neurochemical Research
105 rdf:type schema:Periodical
106 sg:person.01136611255.99 schema:affiliation https://www.grid.ac/institutes/grid.411697.c
107 schema:familyName Shimazawa
108 schema:givenName M.
109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136611255.99
110 rdf:type schema:Person
111 sg:person.01317601615.02 schema:affiliation https://www.grid.ac/institutes/grid.411697.c
112 schema:familyName Nakamura
113 schema:givenName S.
114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01317601615.02
115 rdf:type schema:Person
116 sg:person.0653035147.28 schema:affiliation https://www.grid.ac/institutes/grid.411697.c
117 schema:familyName Noda
118 schema:givenName Y.
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0653035147.28
120 rdf:type schema:Person
121 sg:person.0710456250.87 schema:affiliation https://www.grid.ac/institutes/grid.411697.c
122 schema:familyName Hara
123 schema:givenName H.
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0710456250.87
125 rdf:type schema:Person
126 sg:pub.10.1007/s12035-015-9165-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035560327
127 https://doi.org/10.1007/s12035-015-9165-7
128 rdf:type schema:CreativeWork
129 sg:pub.10.1007/s12263-009-0110-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013231141
130 https://doi.org/10.1007/s12263-009-0110-0
131 rdf:type schema:CreativeWork
132 sg:pub.10.1038/mp.2017.233 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092804821
133 https://doi.org/10.1038/mp.2017.233
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1002/prp2.140 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001360134
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1016/0304-3940(95)98235-p schema:sameAs https://app.dimensions.ai/details/publication/pub.1045138706
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1016/j.brainres.2008.02.073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018762620
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1016/j.neulet.2010.11.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007645094
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1016/j.neuropharm.2005.05.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032911895
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1016/j.neuroscience.2007.08.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020681549
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1038/jcbfm.2011.155 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003474597
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1046/j.1471-4159.2002.00842.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1047383623
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1074/jbc.m113.497214 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001062907
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1074/jbc.m113.510917 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021334742
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1111/bph.12277 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036266165
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1371/journal.pone.0015307 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052427107
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1371/journal.pone.0079760 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005279570
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1371/journal.pone.0109305 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008412190
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1371/journal.pone.0164689 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004373317
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1371/journal.pone.0172724 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083896548
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1523/jneurosci.0293-12.2012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020343284
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1523/jneurosci.09-12-04122.1989 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079025050
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1523/jneurosci.1127-09.2009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049754408
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1523/jneurosci.23-34-10800.2003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1076604329
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1523/jneurosci.5987-09.2010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032881292
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1677/joe-10-0189 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025257540
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1677/joe.0.1790227 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034932019
180 rdf:type schema:CreativeWork
181 https://doi.org/10.3389/fendo.2015.00003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025687976
182 rdf:type schema:CreativeWork
183 https://doi.org/10.3389/fncel.2017.00158 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085748837
184 rdf:type schema:CreativeWork
185 https://doi.org/10.3389/fphar.2017.00167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084434087
186 rdf:type schema:CreativeWork
187 https://doi.org/10.3390/ijms18030612 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084435908
188 rdf:type schema:CreativeWork
189 https://doi.org/10.3410/b3-18 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021222218
190 rdf:type schema:CreativeWork
191 https://doi.org/10.7150/ijms.5.92 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073619269
192 rdf:type schema:CreativeWork
193 https://www.grid.ac/institutes/grid.411697.c schema:alternateName Gifu Pharmaceutical University
194 schema:name Molecular Pharmacology, Department of Biofunctional Evaluation, Gifu Pharmaceutical University, 1-25-4 Daigaku-nishi, 501-1196, Gifu, Japan
195 rdf:type schema:Organization
 




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


...