Comparison of four staining methods for detecting eosinophils in nasal polyps View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Yu Song, Jinshu Yin, Hong Chang, Quan Zhou, Hong Peng, Wei Ji, Qingkun Song

ABSTRACT

The study aimed to find a more appropriate method to detect eosinophils in formalin- fixed nasal polyps, since there is no consensus on the standard counting method of eosinophils now. Four 5 μm serial sections were obtained from each 10% neutral formalin-fixed paraffin block and were stained with Chromotrope 2R, Congo red, MBPmAb immunohistochemistry, and conventional hematoxylin and eosin stain respectively. Each section was scanned by the Aperio digital section scanner. The same selected areas were procured for assessment in the serial sections. Chromotrope 2R and MBPmAb immunohistochemistry were specific in detecting eosinophils, which had the lower background staining compared with Congo red and conventional hematoxylin and eosin stain. There were significant differences among the four methods in terms of the eosinophil counting data (p < 0.05), while no significant difference between Chromotrope 2R and Congo red (P = 0.1413). The eosinophil counts in nasal polyps could be more accurately assessed by Chromotrope 2R and Congo red compared with MBPmAb immunohistochemistry and conventional hematoxylin and eosin stain. The popularization of Chromotrope 2R and Congo red may help to unify the eosinophil count in the definition of eosinophilic CRSwNP. More... »

PAGES

17718

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-018-36102-y

DOI

http://dx.doi.org/10.1038/s41598-018-36102-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1110346467

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30531899


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/2008/1102", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Cardiorespiratory Medicine and Haematology", 
        "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": "Peking University", 
          "id": "https://www.grid.ac/institutes/grid.11135.37", 
          "name": [
            "Peking University Ninth School of Clinical Medicine, 100038, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Song", 
        "givenName": "Yu", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Beijing Shijitan Hospital", 
          "id": "https://www.grid.ac/institutes/grid.414367.3", 
          "name": [
            "Peking University Ninth School of Clinical Medicine, 100038, Beijing, China", 
            "Department of Otorhinolaryngology-Head and Neck Surgery, Beijing Shijitan Hospital of Capital Medical University, 100038, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yin", 
        "givenName": "Jinshu", 
        "id": "sg:person.014700045000.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014700045000.80"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Beijing Shijitan Hospital", 
          "id": "https://www.grid.ac/institutes/grid.414367.3", 
          "name": [
            "Department of Pathology, Beijing Shijitan Hospital of Capital Medical University, 100038, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chang", 
        "givenName": "Hong", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Beijing Shijitan Hospital", 
          "id": "https://www.grid.ac/institutes/grid.414367.3", 
          "name": [
            "Department of Pathology, Beijing Shijitan Hospital of Capital Medical University, 100038, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhou", 
        "givenName": "Quan", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Beijing Shijitan Hospital", 
          "id": "https://www.grid.ac/institutes/grid.414367.3", 
          "name": [
            "Department of Otorhinolaryngology-Head and Neck Surgery, Beijing Shijitan Hospital of Capital Medical University, 100038, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Peng", 
        "givenName": "Hong", 
        "id": "sg:person.012507523400.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012507523400.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Beijing Shijitan Hospital", 
          "id": "https://www.grid.ac/institutes/grid.414367.3", 
          "name": [
            "Department of Otorhinolaryngology-Head and Neck Surgery, Beijing Shijitan Hospital of Capital Medical University, 100038, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ji", 
        "givenName": "Wei", 
        "id": "sg:person.011712143000.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011712143000.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Beijing Shijitan Hospital", 
          "id": "https://www.grid.ac/institutes/grid.414367.3", 
          "name": [
            "Department of science and technology, Beijing Shijitan Hospital of Capital Medical University, 100038, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Song", 
        "givenName": "Qingkun", 
        "id": "sg:person.01262574770.85", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01262574770.85"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/ajg.2015.158", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009902271", 
          "https://doi.org/10.1038/ajg.2015.158"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ajg.2015.158", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009902271", 
          "https://doi.org/10.1038/ajg.2015.158"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00405-014-2910-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010356549", 
          "https://doi.org/10.1007/s00405-014-2910-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/gutjnl-2012-303857", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010931038"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/10520298109067335", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015159161"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep34305", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017970123", 
          "https://doi.org/10.1038/srep34305"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.otohns.2005.12.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019079125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.otohns.2005.12.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019079125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.otohns.2005.12.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019079125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2222.1992.tb03082.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026906350"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2332/allergolint.10-rai-0231", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028419138"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jaci.2016.05.041", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036758130"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12026-015-8717-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037201142", 
          "https://doi.org/10.1007/s12026-015-8717-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/path.1700560319", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037519370"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/path.1700560319", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037519370"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/lary.24462", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040914414"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jaci.2009.05.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041392462"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/all.12644", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043173471"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/lary.24154", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043307465"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jaci.2015.10.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052688049"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4193/rhino50e2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078541180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7860/jcdr/2017/25320.9445", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084491676"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000484527", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093077885"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "The study aimed to find a more appropriate method to detect eosinophils in formalin- fixed nasal polyps, since there is no consensus on the standard counting method of eosinophils now. Four 5\u2009\u03bcm serial sections were obtained from each 10% neutral formalin-fixed paraffin block and were stained with Chromotrope 2R, Congo red, MBPmAb immunohistochemistry, and conventional hematoxylin and eosin stain respectively. Each section was scanned by the Aperio digital section scanner. The same selected areas were procured for assessment in the serial sections. Chromotrope 2R and MBPmAb immunohistochemistry were specific in detecting eosinophils, which had the lower background staining compared with Congo red and conventional hematoxylin and eosin stain. There were significant differences among the four methods in terms of the eosinophil counting data (p\u2009<\u20090.05), while no significant difference between Chromotrope 2R and Congo red (P\u2009=\u20090.1413). The eosinophil counts in nasal polyps could be more accurately assessed by Chromotrope 2R and Congo red compared with MBPmAb immunohistochemistry and conventional hematoxylin and eosin stain. The popularization of Chromotrope 2R and Congo red may help to unify the eosinophil count in the definition of eosinophilic CRSwNP.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-018-36102-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "8"
      }
    ], 
    "name": "Comparison of four staining methods for detecting eosinophils in nasal polyps", 
    "pagination": "17718", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "c38e489128e58b426e6848d0626282ab69ba4b91a528e48fbbd715e52c03a03b"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30531899"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-018-36102-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1110346467"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-018-36102-y", 
      "https://app.dimensions.ai/details/publication/pub.1110346467"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:31", 
    "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/v90/0000000309_0000000309/records_106274_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-018-36102-y"
  }
]
 

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.10.1038/s41598-018-36102-y'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-36102-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-36102-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-36102-y'


 

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

174 TRIPLES      21 PREDICATES      48 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-018-36102-y schema:about anzsrc-for:11
2 anzsrc-for:1102
3 schema:author N20f842bf514c42d7ac3a3a5a18e77267
4 schema:citation sg:pub.10.1007/s00405-014-2910-0
5 sg:pub.10.1007/s12026-015-8717-2
6 sg:pub.10.1038/ajg.2015.158
7 sg:pub.10.1038/srep34305
8 https://doi.org/10.1002/lary.24154
9 https://doi.org/10.1002/lary.24462
10 https://doi.org/10.1002/path.1700560319
11 https://doi.org/10.1016/j.jaci.2009.05.017
12 https://doi.org/10.1016/j.jaci.2015.10.010
13 https://doi.org/10.1016/j.jaci.2016.05.041
14 https://doi.org/10.1016/j.otohns.2005.12.026
15 https://doi.org/10.1111/all.12644
16 https://doi.org/10.1111/j.1365-2222.1992.tb03082.x
17 https://doi.org/10.1136/gutjnl-2012-303857
18 https://doi.org/10.1159/000484527
19 https://doi.org/10.2332/allergolint.10-rai-0231
20 https://doi.org/10.3109/10520298109067335
21 https://doi.org/10.4193/rhino50e2
22 https://doi.org/10.7860/jcdr/2017/25320.9445
23 schema:datePublished 2018-12
24 schema:datePublishedReg 2018-12-01
25 schema:description The study aimed to find a more appropriate method to detect eosinophils in formalin- fixed nasal polyps, since there is no consensus on the standard counting method of eosinophils now. Four 5 μm serial sections were obtained from each 10% neutral formalin-fixed paraffin block and were stained with Chromotrope 2R, Congo red, MBPmAb immunohistochemistry, and conventional hematoxylin and eosin stain respectively. Each section was scanned by the Aperio digital section scanner. The same selected areas were procured for assessment in the serial sections. Chromotrope 2R and MBPmAb immunohistochemistry were specific in detecting eosinophils, which had the lower background staining compared with Congo red and conventional hematoxylin and eosin stain. There were significant differences among the four methods in terms of the eosinophil counting data (p < 0.05), while no significant difference between Chromotrope 2R and Congo red (P = 0.1413). The eosinophil counts in nasal polyps could be more accurately assessed by Chromotrope 2R and Congo red compared with MBPmAb immunohistochemistry and conventional hematoxylin and eosin stain. The popularization of Chromotrope 2R and Congo red may help to unify the eosinophil count in the definition of eosinophilic CRSwNP.
26 schema:genre research_article
27 schema:inLanguage en
28 schema:isAccessibleForFree true
29 schema:isPartOf N744f03602f2e47f7af008b5709c435da
30 Nf147e9c1da1342e38daccd2934e84d84
31 sg:journal.1045337
32 schema:name Comparison of four staining methods for detecting eosinophils in nasal polyps
33 schema:pagination 17718
34 schema:productId N0978ac68910848fba3df1053d2db8523
35 N6d9b2e8a3c114416a76453b3fa82cb3c
36 Ncc476de516144c65a718e2bde870f154
37 Nf916d9cb43bc4b9ab5947049b1a68a4c
38 Nfcf83e99bba949628c0c23634e22d998
39 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110346467
40 https://doi.org/10.1038/s41598-018-36102-y
41 schema:sdDatePublished 2019-04-11T08:31
42 schema:sdLicense https://scigraph.springernature.com/explorer/license/
43 schema:sdPublisher N4e5e124d50fa4672a5fb31bf92961365
44 schema:url https://www.nature.com/articles/s41598-018-36102-y
45 sgo:license sg:explorer/license/
46 sgo:sdDataset articles
47 rdf:type schema:ScholarlyArticle
48 N022a93d8277548f9a7d956fec875c1f5 rdf:first sg:person.012507523400.84
49 rdf:rest N3dddef17deea427fb7d6f58169f2ef13
50 N0484e16f924440db82ea79b25cc9c691 schema:affiliation https://www.grid.ac/institutes/grid.414367.3
51 schema:familyName Zhou
52 schema:givenName Quan
53 rdf:type schema:Person
54 N0978ac68910848fba3df1053d2db8523 schema:name nlm_unique_id
55 schema:value 101563288
56 rdf:type schema:PropertyValue
57 N20f842bf514c42d7ac3a3a5a18e77267 rdf:first Nd9272ce650d3439ea6817175a4a0daa5
58 rdf:rest N85153ad03f27425ca8528da0915513ad
59 N3933a8036c7e41f899a2ba35cefc43f6 rdf:first N0484e16f924440db82ea79b25cc9c691
60 rdf:rest N022a93d8277548f9a7d956fec875c1f5
61 N3dddef17deea427fb7d6f58169f2ef13 rdf:first sg:person.011712143000.55
62 rdf:rest Nf2ecee169d4c4c7d87b7d246289eb9eb
63 N4e5e124d50fa4672a5fb31bf92961365 schema:name Springer Nature - SN SciGraph project
64 rdf:type schema:Organization
65 N6d9b2e8a3c114416a76453b3fa82cb3c schema:name dimensions_id
66 schema:value pub.1110346467
67 rdf:type schema:PropertyValue
68 N744f03602f2e47f7af008b5709c435da schema:volumeNumber 8
69 rdf:type schema:PublicationVolume
70 N85153ad03f27425ca8528da0915513ad rdf:first sg:person.014700045000.80
71 rdf:rest Ndf2b6b496d8c4dbebdfeb9ac85ef8037
72 Ncc476de516144c65a718e2bde870f154 schema:name pubmed_id
73 schema:value 30531899
74 rdf:type schema:PropertyValue
75 Nccda8e0e94cb485490fcb5e8798d7d92 schema:affiliation https://www.grid.ac/institutes/grid.414367.3
76 schema:familyName Chang
77 schema:givenName Hong
78 rdf:type schema:Person
79 Nd9272ce650d3439ea6817175a4a0daa5 schema:affiliation https://www.grid.ac/institutes/grid.11135.37
80 schema:familyName Song
81 schema:givenName Yu
82 rdf:type schema:Person
83 Ndf2b6b496d8c4dbebdfeb9ac85ef8037 rdf:first Nccda8e0e94cb485490fcb5e8798d7d92
84 rdf:rest N3933a8036c7e41f899a2ba35cefc43f6
85 Nf147e9c1da1342e38daccd2934e84d84 schema:issueNumber 1
86 rdf:type schema:PublicationIssue
87 Nf2ecee169d4c4c7d87b7d246289eb9eb rdf:first sg:person.01262574770.85
88 rdf:rest rdf:nil
89 Nf916d9cb43bc4b9ab5947049b1a68a4c schema:name readcube_id
90 schema:value c38e489128e58b426e6848d0626282ab69ba4b91a528e48fbbd715e52c03a03b
91 rdf:type schema:PropertyValue
92 Nfcf83e99bba949628c0c23634e22d998 schema:name doi
93 schema:value 10.1038/s41598-018-36102-y
94 rdf:type schema:PropertyValue
95 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
96 schema:name Medical and Health Sciences
97 rdf:type schema:DefinedTerm
98 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
99 schema:name Cardiorespiratory Medicine and Haematology
100 rdf:type schema:DefinedTerm
101 sg:journal.1045337 schema:issn 2045-2322
102 schema:name Scientific Reports
103 rdf:type schema:Periodical
104 sg:person.011712143000.55 schema:affiliation https://www.grid.ac/institutes/grid.414367.3
105 schema:familyName Ji
106 schema:givenName Wei
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011712143000.55
108 rdf:type schema:Person
109 sg:person.012507523400.84 schema:affiliation https://www.grid.ac/institutes/grid.414367.3
110 schema:familyName Peng
111 schema:givenName Hong
112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012507523400.84
113 rdf:type schema:Person
114 sg:person.01262574770.85 schema:affiliation https://www.grid.ac/institutes/grid.414367.3
115 schema:familyName Song
116 schema:givenName Qingkun
117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01262574770.85
118 rdf:type schema:Person
119 sg:person.014700045000.80 schema:affiliation https://www.grid.ac/institutes/grid.414367.3
120 schema:familyName Yin
121 schema:givenName Jinshu
122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014700045000.80
123 rdf:type schema:Person
124 sg:pub.10.1007/s00405-014-2910-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010356549
125 https://doi.org/10.1007/s00405-014-2910-0
126 rdf:type schema:CreativeWork
127 sg:pub.10.1007/s12026-015-8717-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037201142
128 https://doi.org/10.1007/s12026-015-8717-2
129 rdf:type schema:CreativeWork
130 sg:pub.10.1038/ajg.2015.158 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009902271
131 https://doi.org/10.1038/ajg.2015.158
132 rdf:type schema:CreativeWork
133 sg:pub.10.1038/srep34305 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017970123
134 https://doi.org/10.1038/srep34305
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1002/lary.24154 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043307465
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1002/lary.24462 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040914414
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1002/path.1700560319 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037519370
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1016/j.jaci.2009.05.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041392462
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1016/j.jaci.2015.10.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052688049
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1016/j.jaci.2016.05.041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036758130
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/j.otohns.2005.12.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019079125
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1111/all.12644 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043173471
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1111/j.1365-2222.1992.tb03082.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1026906350
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1136/gutjnl-2012-303857 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010931038
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1159/000484527 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093077885
157 rdf:type schema:CreativeWork
158 https://doi.org/10.2332/allergolint.10-rai-0231 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028419138
159 rdf:type schema:CreativeWork
160 https://doi.org/10.3109/10520298109067335 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015159161
161 rdf:type schema:CreativeWork
162 https://doi.org/10.4193/rhino50e2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1078541180
163 rdf:type schema:CreativeWork
164 https://doi.org/10.7860/jcdr/2017/25320.9445 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084491676
165 rdf:type schema:CreativeWork
166 https://www.grid.ac/institutes/grid.11135.37 schema:alternateName Peking University
167 schema:name Peking University Ninth School of Clinical Medicine, 100038, Beijing, China
168 rdf:type schema:Organization
169 https://www.grid.ac/institutes/grid.414367.3 schema:alternateName Beijing Shijitan Hospital
170 schema:name Department of Otorhinolaryngology-Head and Neck Surgery, Beijing Shijitan Hospital of Capital Medical University, 100038, Beijing, China
171 Department of Pathology, Beijing Shijitan Hospital of Capital Medical University, 100038, Beijing, China
172 Department of science and technology, Beijing Shijitan Hospital of Capital Medical University, 100038, Beijing, China
173 Peking University Ninth School of Clinical Medicine, 100038, Beijing, China
174 rdf:type schema:Organization
 




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


...