Novel Tc-99m labeled ELR-containing 6-mer peptides for tumor imaging in epidermoid carcinoma xenografts model: a pilot study View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-12

AUTHORS

Dae-Weung Kim, Woo Hyoung Kim, Myoung Hyoun Kim, Chang Guhn Kim

ABSTRACT

OBJECTIVE: ELR-containing peptides targeting CXCR2 could be the excellent candidate for targeting ligand of molecular tumor imaging. In this study, we had developed two ELR-containing 6-mer peptides and evaluated the diagnostic performance of Tc-99m labeled 6-mer peptides as a molecular imaging agent in murine models bearing KB epidermoid carcinoma. METHODS: Peptides were synthesized using Fmoc solid phase peptide synthesis. Radiolabeling efficiency with Tc-99m was evaluated using instant thin-layer chromatography. In KB epidermoid cancer-bearing mice, gamma images had acquired and tumor-to-muscle uptake ratio was calculated. Competition and biodistribution studies had performed. RESULTS: Two 6-mer peptides, ELR-ECG and ECG-ELR were successfully synthesized. After radiolabeling procedures with Tc-99m, the complex Tc-99m ELR-ECG and Tc-99m ECG-ELR were prepared in high yield. In the gamma camera imaging of murine model, Tc-99m ELR-ECG was substantially accumulated in the subcutaneously engrafted tumor and tumor uptake had been suppressed by the free ELR co-injection. However, Tc-99m ECG-ELR was minimally accumulated in the tumor. CONCLUSIONS: Two ELR-containing 6-mer peptides, ELR-ECG and ECG-ELR, were developed as a molecular imaging agent to target CXCR2 of epidermoid carcinoma. Tc-99m ELR-ECG had showed significant uptake in tumor and it was good candidate for a tumor imaging. More... »

PAGES

892-897

References to SciGraph publications

  • 2011-03. Current Molecular Imaging Positron Emitting Radiotracers in Oncology in NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2006-01. Targeted molecular imaging in oncology in ANNALS OF NUCLEAR MEDICINE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s12149-013-0766-9

    DOI

    http://dx.doi.org/10.1007/s12149-013-0766-9

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1019214218

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/23990397


    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/2008/1112", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Oncology and Carcinogenesis", 
            "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"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Amino Acid Motifs", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Animals", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Carcinoma, Squamous Cell", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cell Transformation, Neoplastic", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Female", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Isotope Labeling", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "KB Cells", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Mice", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Molecular Imaging", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Oligopeptides", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Pilot Projects", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Receptors, Interleukin-8B", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Technetium", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Wonkwang University", 
              "id": "https://www.grid.ac/institutes/grid.410899.d", 
              "name": [
                "Department of Nuclear Medicine, Wonkwang University School of Medicine, 344-2 Shinyong-Dong, 570-711, Iksan, Jeollabuk-do, Republic of Korea", 
                "Institute of Wonkwang Medical Science, Wonkwang University School of Medicine, Iksan, Jeollabuk-do, Korea", 
                "Research Unit of Molecular Imaging Agent (RUMIA), Wonkwang University School of Medicine, Iksan, Jeollabuk-do, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kim", 
            "givenName": "Dae-Weung", 
            "id": "sg:person.01000020651.25", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01000020651.25"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Wonkwang University", 
              "id": "https://www.grid.ac/institutes/grid.410899.d", 
              "name": [
                "Department of Nuclear Medicine, Wonkwang University School of Medicine, 344-2 Shinyong-Dong, 570-711, Iksan, Jeollabuk-do, Republic of Korea", 
                "Institute of Wonkwang Medical Science, Wonkwang University School of Medicine, Iksan, Jeollabuk-do, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kim", 
            "givenName": "Woo Hyoung", 
            "id": "sg:person.016630576674.47", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016630576674.47"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Wonkwang University", 
              "id": "https://www.grid.ac/institutes/grid.410899.d", 
              "name": [
                "Department of Nuclear Medicine, Wonkwang University School of Medicine, 344-2 Shinyong-Dong, 570-711, Iksan, Jeollabuk-do, Republic of Korea", 
                "Institute of Wonkwang Medical Science, Wonkwang University School of Medicine, Iksan, Jeollabuk-do, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kim", 
            "givenName": "Myoung Hyoun", 
            "id": "sg:person.0641764442.78", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0641764442.78"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Wonkwang University", 
              "id": "https://www.grid.ac/institutes/grid.410899.d", 
              "name": [
                "Department of Nuclear Medicine, Wonkwang University School of Medicine, 344-2 Shinyong-Dong, 570-711, Iksan, Jeollabuk-do, Republic of Korea", 
                "Institute of Wonkwang Medical Science, Wonkwang University School of Medicine, Iksan, Jeollabuk-do, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kim", 
            "givenName": "Chang Guhn", 
            "id": "sg:person.01155206462.91", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01155206462.91"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1158/1078-0432.ccr-07-4843", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000193199"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02985584", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004061497", 
              "https://doi.org/10.1007/bf02985584"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02985584", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004061497", 
              "https://doi.org/10.1007/bf02985584"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ejca.2006.01.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011426913"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13139-011-0075-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012701950", 
              "https://doi.org/10.1007/s13139-011-0075-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1074/jbc.m313883200", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015390169"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.clbc.2012.09.010", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022246866"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1056/nejm199802123380706", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022989320"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cell.2011.02.013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023540354"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1074/jbc.m109.044297", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025881420"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4103/1477-3163.92308", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026213066"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1074/jbc.275.10.6868", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035455261"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/cr980436l", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049886911"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/cr980436l", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049886911"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ic9706562", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055587829"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ic9706562", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055587829"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2214/ajr.181.2.1810359", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069325591"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1189/jlb.68.1.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1074674797"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4049/jimmunol.165.9.5269", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1074717321"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2013-12", 
        "datePublishedReg": "2013-12-01", 
        "description": "OBJECTIVE: ELR-containing peptides targeting CXCR2 could be the excellent candidate for targeting ligand of molecular tumor imaging. In this study, we had developed two ELR-containing 6-mer peptides and evaluated the diagnostic performance of Tc-99m labeled 6-mer peptides as a molecular imaging agent in murine models bearing KB epidermoid carcinoma.\nMETHODS: Peptides were synthesized using Fmoc solid phase peptide synthesis. Radiolabeling efficiency with Tc-99m was evaluated using instant thin-layer chromatography. In KB epidermoid cancer-bearing mice, gamma images had acquired and tumor-to-muscle uptake ratio was calculated. Competition and biodistribution studies had performed.\nRESULTS: Two 6-mer peptides, ELR-ECG and ECG-ELR were successfully synthesized. After radiolabeling procedures with Tc-99m, the complex Tc-99m ELR-ECG and Tc-99m ECG-ELR were prepared in high yield. In the gamma camera imaging of murine model, Tc-99m ELR-ECG was substantially accumulated in the subcutaneously engrafted tumor and tumor uptake had been suppressed by the free ELR co-injection. However, Tc-99m ECG-ELR was minimally accumulated in the tumor.\nCONCLUSIONS: Two ELR-containing 6-mer peptides, ELR-ECG and ECG-ELR, were developed as a molecular imaging agent to target CXCR2 of epidermoid carcinoma. Tc-99m ELR-ECG had showed significant uptake in tumor and it was good candidate for a tumor imaging.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s12149-013-0766-9", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1099601", 
            "issn": [
              "0914-7187", 
              "1864-6433"
            ], 
            "name": "Annals of Nuclear Medicine", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "10", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "27"
          }
        ], 
        "name": "Novel Tc-99m labeled ELR-containing 6-mer peptides for tumor imaging in epidermoid carcinoma xenografts model: a pilot study", 
        "pagination": "892-897", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "5b8cc48eac85599b70f05da055ef14e1c24b7bb5901da80d7f6b98f8b54c4867"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "23990397"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "8913398"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s12149-013-0766-9"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1019214218"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s12149-013-0766-9", 
          "https://app.dimensions.ai/details/publication/pub.1019214218"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T21:39", 
        "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_8687_00000521.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007%2Fs12149-013-0766-9"
      }
    ]
     

    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/s12149-013-0766-9'

    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/s12149-013-0766-9'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12149-013-0766-9'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12149-013-0766-9'


     

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

    198 TRIPLES      21 PREDICATES      59 URIs      35 LITERALS      23 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s12149-013-0766-9 schema:about N0a570ed06f9b49db89633883d24f85be
    2 N10e818b4bd5f41398d96ebe7c4fbf155
    3 N2125e7363e4e4970a5e7b33327413067
    4 N2cabff01683242898b3df386617d2c8a
    5 N3df2a0ef6d01426b9faa65e9a9711573
    6 N3e08da6d325f4407a694167996a15bc4
    7 N4e7132c2a7114596bb2325156de955e3
    8 N7fea12063f5a4c4da3a3e0c8794879ce
    9 N8f7525b5560440069f615a05b24e00b5
    10 N91a78737aa544944aee5825f696fcf1c
    11 Naccf01e2b76b4ac4a0b7a786daf5f9e2
    12 Nb9cc7c0c13b346f683e206638fbb8fc3
    13 Nbe8c2a3ad9fe4d81802b12fac96c3fce
    14 Ndc07f8378f564f77a0d6bd36e4d178ce
    15 anzsrc-for:11
    16 anzsrc-for:1112
    17 schema:author Nddb40ba3a757429180769cbe4c15c216
    18 schema:citation sg:pub.10.1007/bf02985584
    19 sg:pub.10.1007/s13139-011-0075-y
    20 https://doi.org/10.1016/j.cell.2011.02.013
    21 https://doi.org/10.1016/j.clbc.2012.09.010
    22 https://doi.org/10.1016/j.ejca.2006.01.006
    23 https://doi.org/10.1021/cr980436l
    24 https://doi.org/10.1021/ic9706562
    25 https://doi.org/10.1056/nejm199802123380706
    26 https://doi.org/10.1074/jbc.275.10.6868
    27 https://doi.org/10.1074/jbc.m109.044297
    28 https://doi.org/10.1074/jbc.m313883200
    29 https://doi.org/10.1158/1078-0432.ccr-07-4843
    30 https://doi.org/10.1189/jlb.68.1.1
    31 https://doi.org/10.2214/ajr.181.2.1810359
    32 https://doi.org/10.4049/jimmunol.165.9.5269
    33 https://doi.org/10.4103/1477-3163.92308
    34 schema:datePublished 2013-12
    35 schema:datePublishedReg 2013-12-01
    36 schema:description OBJECTIVE: ELR-containing peptides targeting CXCR2 could be the excellent candidate for targeting ligand of molecular tumor imaging. In this study, we had developed two ELR-containing 6-mer peptides and evaluated the diagnostic performance of Tc-99m labeled 6-mer peptides as a molecular imaging agent in murine models bearing KB epidermoid carcinoma. METHODS: Peptides were synthesized using Fmoc solid phase peptide synthesis. Radiolabeling efficiency with Tc-99m was evaluated using instant thin-layer chromatography. In KB epidermoid cancer-bearing mice, gamma images had acquired and tumor-to-muscle uptake ratio was calculated. Competition and biodistribution studies had performed. RESULTS: Two 6-mer peptides, ELR-ECG and ECG-ELR were successfully synthesized. After radiolabeling procedures with Tc-99m, the complex Tc-99m ELR-ECG and Tc-99m ECG-ELR were prepared in high yield. In the gamma camera imaging of murine model, Tc-99m ELR-ECG was substantially accumulated in the subcutaneously engrafted tumor and tumor uptake had been suppressed by the free ELR co-injection. However, Tc-99m ECG-ELR was minimally accumulated in the tumor. CONCLUSIONS: Two ELR-containing 6-mer peptides, ELR-ECG and ECG-ELR, were developed as a molecular imaging agent to target CXCR2 of epidermoid carcinoma. Tc-99m ELR-ECG had showed significant uptake in tumor and it was good candidate for a tumor imaging.
    37 schema:genre research_article
    38 schema:inLanguage en
    39 schema:isAccessibleForFree false
    40 schema:isPartOf N45cdc848e3064209a26f10415f9c9fb6
    41 N9260ae4a22b2409db6424ecd7f6fab7f
    42 sg:journal.1099601
    43 schema:name Novel Tc-99m labeled ELR-containing 6-mer peptides for tumor imaging in epidermoid carcinoma xenografts model: a pilot study
    44 schema:pagination 892-897
    45 schema:productId N2226ed19ce604c319f13a56451841d0f
    46 N88ef45b2fb344112bbf37a0631c65956
    47 Nd4316993d07243e0951dfa714eb30c79
    48 Ndda82319f1da48acb5925501630d4b34
    49 Nfc1a01bce2cb46b7a0439693e530de92
    50 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019214218
    51 https://doi.org/10.1007/s12149-013-0766-9
    52 schema:sdDatePublished 2019-04-10T21:39
    53 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    54 schema:sdPublisher Nd8cdb2edd56444cca754323a784101b8
    55 schema:url http://link.springer.com/10.1007%2Fs12149-013-0766-9
    56 sgo:license sg:explorer/license/
    57 sgo:sdDataset articles
    58 rdf:type schema:ScholarlyArticle
    59 N0a570ed06f9b49db89633883d24f85be schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    60 schema:name Animals
    61 rdf:type schema:DefinedTerm
    62 N10e818b4bd5f41398d96ebe7c4fbf155 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    63 schema:name Receptors, Interleukin-8B
    64 rdf:type schema:DefinedTerm
    65 N2125e7363e4e4970a5e7b33327413067 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    66 schema:name Isotope Labeling
    67 rdf:type schema:DefinedTerm
    68 N2226ed19ce604c319f13a56451841d0f schema:name readcube_id
    69 schema:value 5b8cc48eac85599b70f05da055ef14e1c24b7bb5901da80d7f6b98f8b54c4867
    70 rdf:type schema:PropertyValue
    71 N2cabff01683242898b3df386617d2c8a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    72 schema:name Female
    73 rdf:type schema:DefinedTerm
    74 N3df2a0ef6d01426b9faa65e9a9711573 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    75 schema:name Oligopeptides
    76 rdf:type schema:DefinedTerm
    77 N3e08da6d325f4407a694167996a15bc4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    78 schema:name Technetium
    79 rdf:type schema:DefinedTerm
    80 N45cdc848e3064209a26f10415f9c9fb6 schema:volumeNumber 27
    81 rdf:type schema:PublicationVolume
    82 N4e7132c2a7114596bb2325156de955e3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    83 schema:name Carcinoma, Squamous Cell
    84 rdf:type schema:DefinedTerm
    85 N5059d8b7f46d4a40809eae8b80758dd3 rdf:first sg:person.01155206462.91
    86 rdf:rest rdf:nil
    87 N6dea2ca6a8b640daa5cdfa9875c39137 rdf:first sg:person.0641764442.78
    88 rdf:rest N5059d8b7f46d4a40809eae8b80758dd3
    89 N7fea12063f5a4c4da3a3e0c8794879ce schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    90 schema:name Mice
    91 rdf:type schema:DefinedTerm
    92 N88ef45b2fb344112bbf37a0631c65956 schema:name dimensions_id
    93 schema:value pub.1019214218
    94 rdf:type schema:PropertyValue
    95 N8f7525b5560440069f615a05b24e00b5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    96 schema:name Humans
    97 rdf:type schema:DefinedTerm
    98 N91a78737aa544944aee5825f696fcf1c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    99 schema:name Pilot Projects
    100 rdf:type schema:DefinedTerm
    101 N9260ae4a22b2409db6424ecd7f6fab7f schema:issueNumber 10
    102 rdf:type schema:PublicationIssue
    103 Naccf01e2b76b4ac4a0b7a786daf5f9e2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    104 schema:name Cell Transformation, Neoplastic
    105 rdf:type schema:DefinedTerm
    106 Nb9cc7c0c13b346f683e206638fbb8fc3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    107 schema:name KB Cells
    108 rdf:type schema:DefinedTerm
    109 Nbe8c2a3ad9fe4d81802b12fac96c3fce schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    110 schema:name Molecular Imaging
    111 rdf:type schema:DefinedTerm
    112 Nc2aa52b898bb4cdf99124e3501735d6d rdf:first sg:person.016630576674.47
    113 rdf:rest N6dea2ca6a8b640daa5cdfa9875c39137
    114 Nd4316993d07243e0951dfa714eb30c79 schema:name nlm_unique_id
    115 schema:value 8913398
    116 rdf:type schema:PropertyValue
    117 Nd8cdb2edd56444cca754323a784101b8 schema:name Springer Nature - SN SciGraph project
    118 rdf:type schema:Organization
    119 Ndc07f8378f564f77a0d6bd36e4d178ce schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    120 schema:name Amino Acid Motifs
    121 rdf:type schema:DefinedTerm
    122 Ndda82319f1da48acb5925501630d4b34 schema:name doi
    123 schema:value 10.1007/s12149-013-0766-9
    124 rdf:type schema:PropertyValue
    125 Nddb40ba3a757429180769cbe4c15c216 rdf:first sg:person.01000020651.25
    126 rdf:rest Nc2aa52b898bb4cdf99124e3501735d6d
    127 Nfc1a01bce2cb46b7a0439693e530de92 schema:name pubmed_id
    128 schema:value 23990397
    129 rdf:type schema:PropertyValue
    130 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    131 schema:name Medical and Health Sciences
    132 rdf:type schema:DefinedTerm
    133 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
    134 schema:name Oncology and Carcinogenesis
    135 rdf:type schema:DefinedTerm
    136 sg:journal.1099601 schema:issn 0914-7187
    137 1864-6433
    138 schema:name Annals of Nuclear Medicine
    139 rdf:type schema:Periodical
    140 sg:person.01000020651.25 schema:affiliation https://www.grid.ac/institutes/grid.410899.d
    141 schema:familyName Kim
    142 schema:givenName Dae-Weung
    143 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01000020651.25
    144 rdf:type schema:Person
    145 sg:person.01155206462.91 schema:affiliation https://www.grid.ac/institutes/grid.410899.d
    146 schema:familyName Kim
    147 schema:givenName Chang Guhn
    148 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01155206462.91
    149 rdf:type schema:Person
    150 sg:person.016630576674.47 schema:affiliation https://www.grid.ac/institutes/grid.410899.d
    151 schema:familyName Kim
    152 schema:givenName Woo Hyoung
    153 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016630576674.47
    154 rdf:type schema:Person
    155 sg:person.0641764442.78 schema:affiliation https://www.grid.ac/institutes/grid.410899.d
    156 schema:familyName Kim
    157 schema:givenName Myoung Hyoun
    158 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0641764442.78
    159 rdf:type schema:Person
    160 sg:pub.10.1007/bf02985584 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004061497
    161 https://doi.org/10.1007/bf02985584
    162 rdf:type schema:CreativeWork
    163 sg:pub.10.1007/s13139-011-0075-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1012701950
    164 https://doi.org/10.1007/s13139-011-0075-y
    165 rdf:type schema:CreativeWork
    166 https://doi.org/10.1016/j.cell.2011.02.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023540354
    167 rdf:type schema:CreativeWork
    168 https://doi.org/10.1016/j.clbc.2012.09.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022246866
    169 rdf:type schema:CreativeWork
    170 https://doi.org/10.1016/j.ejca.2006.01.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011426913
    171 rdf:type schema:CreativeWork
    172 https://doi.org/10.1021/cr980436l schema:sameAs https://app.dimensions.ai/details/publication/pub.1049886911
    173 rdf:type schema:CreativeWork
    174 https://doi.org/10.1021/ic9706562 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055587829
    175 rdf:type schema:CreativeWork
    176 https://doi.org/10.1056/nejm199802123380706 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022989320
    177 rdf:type schema:CreativeWork
    178 https://doi.org/10.1074/jbc.275.10.6868 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035455261
    179 rdf:type schema:CreativeWork
    180 https://doi.org/10.1074/jbc.m109.044297 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025881420
    181 rdf:type schema:CreativeWork
    182 https://doi.org/10.1074/jbc.m313883200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015390169
    183 rdf:type schema:CreativeWork
    184 https://doi.org/10.1158/1078-0432.ccr-07-4843 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000193199
    185 rdf:type schema:CreativeWork
    186 https://doi.org/10.1189/jlb.68.1.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074674797
    187 rdf:type schema:CreativeWork
    188 https://doi.org/10.2214/ajr.181.2.1810359 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069325591
    189 rdf:type schema:CreativeWork
    190 https://doi.org/10.4049/jimmunol.165.9.5269 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074717321
    191 rdf:type schema:CreativeWork
    192 https://doi.org/10.4103/1477-3163.92308 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026213066
    193 rdf:type schema:CreativeWork
    194 https://www.grid.ac/institutes/grid.410899.d schema:alternateName Wonkwang University
    195 schema:name Department of Nuclear Medicine, Wonkwang University School of Medicine, 344-2 Shinyong-Dong, 570-711, Iksan, Jeollabuk-do, Republic of Korea
    196 Institute of Wonkwang Medical Science, Wonkwang University School of Medicine, Iksan, Jeollabuk-do, Korea
    197 Research Unit of Molecular Imaging Agent (RUMIA), Wonkwang University School of Medicine, Iksan, Jeollabuk-do, Korea
    198 rdf:type schema:Organization
     




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


    ...