Cellular distribution of CD63 antigen in platelets and in three megakaryocytic cell lines View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1994-04

AUTHORS

Kenjiro Hamamoto, Shigetoshi Ohga, Shosaku Nomura, Kojiro Yasunaga

ABSTRACT

CD63 is a 53 kDa lysosomal membrane glycoprotein that has been identified as a platelet activation molecule. We investigated the localization of CD63 antigen in platelets and in three megakaryocytic cell lines (K562, HEL and CMK11-5) using flow cytometry and immunoelectron microscopy. Flow cytometry showed that a monoclonal antibody directed against CD63 bound to 8.1% of unstimulated platelets and 59.2% of thrombin-stimulated platelets. Immunoelectron microscopy demonstrated that CD63 antigen was distributed randomly inside unstimulated platelets, while it was localized in the open canalicular system of washed platelets and on the cell membranes of thrombin-stimulated platelets. Flow cytometry detected CD63 on 16.4% of HEL cells, 31.2% of K562 cells, and 43.2% of CMK11-5 cells. Immunoelectron microscopy demonstrated that CD63 was localized in the granules and on the surface membranes of HEL cells, in the vesicles and on the membranes of K562 cells, and in the granules and vesicles as well as on the membranes of CMK11-5 cells. Thus, the distribution of CD63 differed markedly among these three megakaryocytic cell lines. More... »

PAGES

367-375

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf00157770

DOI

http://dx.doi.org/10.1007/bf00157770

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1053371465

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/8040009


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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Antigens, CD", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Blood Platelets", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cell Adhesion Molecules", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cell Line", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cell Membrane", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cytoplasmic Granules", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Flow Cytometry", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Megakaryocytes", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Microscopy, Immunoelectron", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Platelet Activation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Platelet Membrane Glycoproteins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tetraspanin 30", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Kansai Medical University", 
          "id": "https://www.grid.ac/institutes/grid.410783.9", 
          "name": [
            "First Department of Internal Medicine, Kansai Medical University, Osaka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hamamoto", 
        "givenName": "Kenjiro", 
        "id": "sg:person.011056052622.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011056052622.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kansai Medical University", 
          "id": "https://www.grid.ac/institutes/grid.410783.9", 
          "name": [
            "First Department of Internal Medicine, Kansai Medical University, Osaka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ohga", 
        "givenName": "Shigetoshi", 
        "id": "sg:person.01151100555.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01151100555.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kansai Medical University", 
          "id": "https://www.grid.ac/institutes/grid.410783.9", 
          "name": [
            "First Department of Internal Medicine, Kansai Medical University, Osaka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nomura", 
        "givenName": "Shosaku", 
        "id": "sg:person.0637542245.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0637542245.62"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kansai Medical University", 
          "id": "https://www.grid.ac/institutes/grid.410783.9", 
          "name": [
            "First Department of Internal Medicine, Kansai Medical University, Osaka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yasunaga", 
        "givenName": "Kojiro", 
        "id": "sg:person.013661627604.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013661627604.28"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1111/j.1365-2141.1989.tb07681.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001884348"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cyto.990130610", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003326984"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cyto.990130610", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003326984"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1084/jem.173.5.1099", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005963903"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01007491", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009523055", 
          "https://doi.org/10.1007/bf01007491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0003-9861(89)90286-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014135365"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0091-6749(91)90094-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028431265"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1600-0609.1987.tb01434.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035001024"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.6177045", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062634985"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077164433", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077474403", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077822110", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077987619", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078200124", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078447143", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078787757", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079855853", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1080072093", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1081936026", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1994-04", 
    "datePublishedReg": "1994-04-01", 
    "description": "CD63 is a 53 kDa lysosomal membrane glycoprotein that has been identified as a platelet activation molecule. We investigated the localization of CD63 antigen in platelets and in three megakaryocytic cell lines (K562, HEL and CMK11-5) using flow cytometry and immunoelectron microscopy. Flow cytometry showed that a monoclonal antibody directed against CD63 bound to 8.1% of unstimulated platelets and 59.2% of thrombin-stimulated platelets. Immunoelectron microscopy demonstrated that CD63 antigen was distributed randomly inside unstimulated platelets, while it was localized in the open canalicular system of washed platelets and on the cell membranes of thrombin-stimulated platelets. Flow cytometry detected CD63 on 16.4% of HEL cells, 31.2% of K562 cells, and 43.2% of CMK11-5 cells. Immunoelectron microscopy demonstrated that CD63 was localized in the granules and on the surface membranes of HEL cells, in the vesicles and on the membranes of K562 cells, and in the granules and vesicles as well as on the membranes of CMK11-5 cells. Thus, the distribution of CD63 differed markedly among these three megakaryocytic cell lines.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf00157770", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1032970", 
        "issn": [
          "1567-2379", 
          "1573-6865"
        ], 
        "name": "Journal of Molecular Histology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "26"
      }
    ], 
    "name": "Cellular distribution of CD63 antigen in platelets and in three megakaryocytic cell lines", 
    "pagination": "367-375", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "fe37496fc7b3c8a07e1d572d0127cdbe931668602adbf05d2d9f0d5b22b4b650"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "8040009"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0163161"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf00157770"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1053371465"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf00157770", 
      "https://app.dimensions.ai/details/publication/pub.1053371465"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T14:00", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000371_0000000371/records_130826_00000004.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/BF00157770"
  }
]
 

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/bf00157770'

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/bf00157770'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf00157770'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf00157770'


 

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

187 TRIPLES      21 PREDICATES      60 URIs      34 LITERALS      22 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf00157770 schema:about N268def15a0bb48b5937d58352824792d
2 N31a007a2c5534adab8631d688c4e6e71
3 N45bf4691596247e793ffffb5436a77f7
4 N51f5d872d11840268177899586eff393
5 N6cc60343f55849bea8caf1135393b55e
6 N7b75192ba4f74d188ad81444ba8acaf3
7 N9581116e6206431e8d6f9e22b3330c09
8 Na52448900ef94e10a4126932f638aba6
9 Na945304ef5ae442b9b6313f28544e9d2
10 Nca5f85dd574d47bfbec50ff1059b6b53
11 Ne0918516300e4e4aa5eb6dcb2833f71c
12 Ne80e7ad49a8844e4806863f875ae6c55
13 Nec79a273e9414f87b86c254a4157381d
14 anzsrc-for:06
15 anzsrc-for:0601
16 schema:author N2e19248b2f924960a42358d0c7cf122a
17 schema:citation sg:pub.10.1007/bf01007491
18 https://app.dimensions.ai/details/publication/pub.1077164433
19 https://app.dimensions.ai/details/publication/pub.1077474403
20 https://app.dimensions.ai/details/publication/pub.1077822110
21 https://app.dimensions.ai/details/publication/pub.1077987619
22 https://app.dimensions.ai/details/publication/pub.1078200124
23 https://app.dimensions.ai/details/publication/pub.1078447143
24 https://app.dimensions.ai/details/publication/pub.1078787757
25 https://app.dimensions.ai/details/publication/pub.1079855853
26 https://app.dimensions.ai/details/publication/pub.1080072093
27 https://app.dimensions.ai/details/publication/pub.1081936026
28 https://doi.org/10.1002/cyto.990130610
29 https://doi.org/10.1016/0003-9861(89)90286-5
30 https://doi.org/10.1016/0091-6749(91)90094-5
31 https://doi.org/10.1084/jem.173.5.1099
32 https://doi.org/10.1111/j.1365-2141.1989.tb07681.x
33 https://doi.org/10.1111/j.1600-0609.1987.tb01434.x
34 https://doi.org/10.1126/science.6177045
35 schema:datePublished 1994-04
36 schema:datePublishedReg 1994-04-01
37 schema:description CD63 is a 53 kDa lysosomal membrane glycoprotein that has been identified as a platelet activation molecule. We investigated the localization of CD63 antigen in platelets and in three megakaryocytic cell lines (K562, HEL and CMK11-5) using flow cytometry and immunoelectron microscopy. Flow cytometry showed that a monoclonal antibody directed against CD63 bound to 8.1% of unstimulated platelets and 59.2% of thrombin-stimulated platelets. Immunoelectron microscopy demonstrated that CD63 antigen was distributed randomly inside unstimulated platelets, while it was localized in the open canalicular system of washed platelets and on the cell membranes of thrombin-stimulated platelets. Flow cytometry detected CD63 on 16.4% of HEL cells, 31.2% of K562 cells, and 43.2% of CMK11-5 cells. Immunoelectron microscopy demonstrated that CD63 was localized in the granules and on the surface membranes of HEL cells, in the vesicles and on the membranes of K562 cells, and in the granules and vesicles as well as on the membranes of CMK11-5 cells. Thus, the distribution of CD63 differed markedly among these three megakaryocytic cell lines.
38 schema:genre research_article
39 schema:inLanguage en
40 schema:isAccessibleForFree false
41 schema:isPartOf N45d971d0a3064a428b1d3722158deee4
42 N8e8c1823f5a64633b443b832729b1e6a
43 sg:journal.1032970
44 schema:name Cellular distribution of CD63 antigen in platelets and in three megakaryocytic cell lines
45 schema:pagination 367-375
46 schema:productId N3909fc9141b84844bcd83680c637370f
47 N7956d2b584b34b3b8ecd939421510937
48 N99c569baa6834a7bb058c05cefc0c4ec
49 Nb7c1a6d83f5c491cbbd9f6f7ba3f6126
50 Nd6c59bd04f3340779d4df240b8b3d6bd
51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053371465
52 https://doi.org/10.1007/bf00157770
53 schema:sdDatePublished 2019-04-11T14:00
54 schema:sdLicense https://scigraph.springernature.com/explorer/license/
55 schema:sdPublisher N3cf3572130104bc78b0c755257301e46
56 schema:url http://link.springer.com/10.1007/BF00157770
57 sgo:license sg:explorer/license/
58 sgo:sdDataset articles
59 rdf:type schema:ScholarlyArticle
60 N268def15a0bb48b5937d58352824792d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
61 schema:name Cytoplasmic Granules
62 rdf:type schema:DefinedTerm
63 N2e19248b2f924960a42358d0c7cf122a rdf:first sg:person.011056052622.21
64 rdf:rest N9ee7fba47ddb45f49e8a511d76a5d339
65 N31a007a2c5534adab8631d688c4e6e71 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
66 schema:name Humans
67 rdf:type schema:DefinedTerm
68 N3909fc9141b84844bcd83680c637370f schema:name readcube_id
69 schema:value fe37496fc7b3c8a07e1d572d0127cdbe931668602adbf05d2d9f0d5b22b4b650
70 rdf:type schema:PropertyValue
71 N3cf3572130104bc78b0c755257301e46 schema:name Springer Nature - SN SciGraph project
72 rdf:type schema:Organization
73 N4553e0b1b6f34114abe106cae5157e3e rdf:first sg:person.013661627604.28
74 rdf:rest rdf:nil
75 N45bf4691596247e793ffffb5436a77f7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Tetraspanin 30
77 rdf:type schema:DefinedTerm
78 N45d971d0a3064a428b1d3722158deee4 schema:volumeNumber 26
79 rdf:type schema:PublicationVolume
80 N51f5d872d11840268177899586eff393 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
81 schema:name Platelet Membrane Glycoproteins
82 rdf:type schema:DefinedTerm
83 N6cc60343f55849bea8caf1135393b55e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
84 schema:name Blood Platelets
85 rdf:type schema:DefinedTerm
86 N7956d2b584b34b3b8ecd939421510937 schema:name nlm_unique_id
87 schema:value 0163161
88 rdf:type schema:PropertyValue
89 N7b75192ba4f74d188ad81444ba8acaf3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Platelet Activation
91 rdf:type schema:DefinedTerm
92 N8e8c1823f5a64633b443b832729b1e6a schema:issueNumber 4
93 rdf:type schema:PublicationIssue
94 N9581116e6206431e8d6f9e22b3330c09 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
95 schema:name Cell Membrane
96 rdf:type schema:DefinedTerm
97 N99c569baa6834a7bb058c05cefc0c4ec schema:name pubmed_id
98 schema:value 8040009
99 rdf:type schema:PropertyValue
100 N9ee7fba47ddb45f49e8a511d76a5d339 rdf:first sg:person.01151100555.31
101 rdf:rest Needd4b37217649348855cc678f013618
102 Na52448900ef94e10a4126932f638aba6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Flow Cytometry
104 rdf:type schema:DefinedTerm
105 Na945304ef5ae442b9b6313f28544e9d2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Cell Line
107 rdf:type schema:DefinedTerm
108 Nb7c1a6d83f5c491cbbd9f6f7ba3f6126 schema:name dimensions_id
109 schema:value pub.1053371465
110 rdf:type schema:PropertyValue
111 Nca5f85dd574d47bfbec50ff1059b6b53 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Megakaryocytes
113 rdf:type schema:DefinedTerm
114 Nd6c59bd04f3340779d4df240b8b3d6bd schema:name doi
115 schema:value 10.1007/bf00157770
116 rdf:type schema:PropertyValue
117 Ne0918516300e4e4aa5eb6dcb2833f71c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Microscopy, Immunoelectron
119 rdf:type schema:DefinedTerm
120 Ne80e7ad49a8844e4806863f875ae6c55 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Antigens, CD
122 rdf:type schema:DefinedTerm
123 Nec79a273e9414f87b86c254a4157381d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Cell Adhesion Molecules
125 rdf:type schema:DefinedTerm
126 Needd4b37217649348855cc678f013618 rdf:first sg:person.0637542245.62
127 rdf:rest N4553e0b1b6f34114abe106cae5157e3e
128 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
129 schema:name Biological Sciences
130 rdf:type schema:DefinedTerm
131 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
132 schema:name Biochemistry and Cell Biology
133 rdf:type schema:DefinedTerm
134 sg:journal.1032970 schema:issn 1567-2379
135 1573-6865
136 schema:name Journal of Molecular Histology
137 rdf:type schema:Periodical
138 sg:person.011056052622.21 schema:affiliation https://www.grid.ac/institutes/grid.410783.9
139 schema:familyName Hamamoto
140 schema:givenName Kenjiro
141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011056052622.21
142 rdf:type schema:Person
143 sg:person.01151100555.31 schema:affiliation https://www.grid.ac/institutes/grid.410783.9
144 schema:familyName Ohga
145 schema:givenName Shigetoshi
146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01151100555.31
147 rdf:type schema:Person
148 sg:person.013661627604.28 schema:affiliation https://www.grid.ac/institutes/grid.410783.9
149 schema:familyName Yasunaga
150 schema:givenName Kojiro
151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013661627604.28
152 rdf:type schema:Person
153 sg:person.0637542245.62 schema:affiliation https://www.grid.ac/institutes/grid.410783.9
154 schema:familyName Nomura
155 schema:givenName Shosaku
156 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0637542245.62
157 rdf:type schema:Person
158 sg:pub.10.1007/bf01007491 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009523055
159 https://doi.org/10.1007/bf01007491
160 rdf:type schema:CreativeWork
161 https://app.dimensions.ai/details/publication/pub.1077164433 schema:CreativeWork
162 https://app.dimensions.ai/details/publication/pub.1077474403 schema:CreativeWork
163 https://app.dimensions.ai/details/publication/pub.1077822110 schema:CreativeWork
164 https://app.dimensions.ai/details/publication/pub.1077987619 schema:CreativeWork
165 https://app.dimensions.ai/details/publication/pub.1078200124 schema:CreativeWork
166 https://app.dimensions.ai/details/publication/pub.1078447143 schema:CreativeWork
167 https://app.dimensions.ai/details/publication/pub.1078787757 schema:CreativeWork
168 https://app.dimensions.ai/details/publication/pub.1079855853 schema:CreativeWork
169 https://app.dimensions.ai/details/publication/pub.1080072093 schema:CreativeWork
170 https://app.dimensions.ai/details/publication/pub.1081936026 schema:CreativeWork
171 https://doi.org/10.1002/cyto.990130610 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003326984
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/0003-9861(89)90286-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014135365
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1016/0091-6749(91)90094-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028431265
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1084/jem.173.5.1099 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005963903
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1111/j.1365-2141.1989.tb07681.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1001884348
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1111/j.1600-0609.1987.tb01434.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1035001024
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1126/science.6177045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062634985
184 rdf:type schema:CreativeWork
185 https://www.grid.ac/institutes/grid.410783.9 schema:alternateName Kansai Medical University
186 schema:name First Department of Internal Medicine, Kansai Medical University, Osaka, Japan
187 rdf:type schema:Organization
 




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


...