A functional variant alters binding of activating protein 1 regulating expression of FGF7 gene associated with chronic obstructive pulmonary disease View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Xiaomei Zhang, Yongxin Guo, Jing Yang, Jianlou Niu, Lina Du, Haiyan Li, Xiaokun Li

ABSTRACT

BACKGROUND: Genome-wide association studies (GWASs) of a large cohort of subjects with chronic obstructive pulmonary disease (COPD) have successfully identified multiple risk genes, including fibroblast growth factor 7 (FGF7). However, the underlying molecular mechanism influencing function of FGF7 and risk of COPD remains further study. METHODS: In this study, we replicated the genetic association of variants near the FGF7 gene in 258 Chinese Han patients with COPD and 311 healthy controls. Additionally, we functionally evaluated a candidate causal variant upstream of the FGF7 gene. RESULTS: The most significant association was observed at rs12905203 (P = 5.9 × 10- 3, odd ratio, OR = 1.516) that explains associations of previously reported variants at the FGF7 locus. Electrophoretic mobility shift assay (EMSA) and chromatin immunoprecipitation-quantitative polymerase chain reaction (ChIP-qPCR) assays showed that the risk allele of the variant was bound to activator protein 1 transcription factors (c-Fos and c-Jun) with a significantly reduced affinity and associated with decreased mRNA expression of FGF7 in fibroblast cells at both resting and PMA/Ionomycin-stimulated conditions. Overexpression of c-Fos and c-Jun proteins or stimulation with PMA/Ionomycin significantly increases mRNA expression of FGF7 in fibroblast cells. Bioinformatic analysis showed that the variant overlaps with multiple genetic regulatory marks, suggesting the regulatory DNA element might function as an enhancer for the FGF7 gene. Luciferase enhancer activity assays demonstrated that the DNA sequences carrying the variant produce enhancer activity while the risk allele of the variant reduces its activity. CONCLUSIONS: In this study, we demonstrated a consistent association of the FGF7 gene with COPD and mechanistically characterized a candidate functional variant upstream of the FGF7 gene. These data highlighted the important role of the risk variant and the FGF7 gene in influencing risk for COPD. More... »

PAGES

33

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12881-019-0761-7

DOI

http://dx.doi.org/10.1186/s12881-019-0761-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112217666

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30777021


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/2008/0604", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Genetics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Jilin Agricultural University", 
          "id": "https://www.grid.ac/institutes/grid.464353.3", 
          "name": [
            "College of Life Science, Engineering Research Center of the Chinese Ministry of Education for Bioreactor and Pharmaceutical Development, Jilin Agricultural University, NO. 2888, XinCheng Avenue, 130118, Changchun, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Xiaomei", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jilin Agricultural University", 
          "id": "https://www.grid.ac/institutes/grid.464353.3", 
          "name": [
            "College of Life Science, Engineering Research Center of the Chinese Ministry of Education for Bioreactor and Pharmaceutical Development, Jilin Agricultural University, NO. 2888, XinCheng Avenue, 130118, Changchun, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Guo", 
        "givenName": "Yongxin", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jilin Agricultural University", 
          "id": "https://www.grid.ac/institutes/grid.464353.3", 
          "name": [
            "College of Life Science, Engineering Research Center of the Chinese Ministry of Education for Bioreactor and Pharmaceutical Development, Jilin Agricultural University, NO. 2888, XinCheng Avenue, 130118, Changchun, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yang", 
        "givenName": "Jing", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wenzhou Medical College", 
          "id": "https://www.grid.ac/institutes/grid.268099.c", 
          "name": [
            "School of Pharmacy, Wenzhou Medical University, Chashan Avenue, 325035, Wenzhou, Zhejiang, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Niu", 
        "givenName": "Jianlou", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jilin Agricultural University", 
          "id": "https://www.grid.ac/institutes/grid.464353.3", 
          "name": [
            "College of Life Science, Engineering Research Center of the Chinese Ministry of Education for Bioreactor and Pharmaceutical Development, Jilin Agricultural University, NO. 2888, XinCheng Avenue, 130118, Changchun, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Du", 
        "givenName": "Lina", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jilin Agricultural University", 
          "id": "https://www.grid.ac/institutes/grid.464353.3", 
          "name": [
            "College of Life Science, Engineering Research Center of the Chinese Ministry of Education for Bioreactor and Pharmaceutical Development, Jilin Agricultural University, NO. 2888, XinCheng Avenue, 130118, Changchun, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Haiyan", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wenzhou Medical College", 
          "id": "https://www.grid.ac/institutes/grid.268099.c", 
          "name": [
            "College of Life Science, Engineering Research Center of the Chinese Ministry of Education for Bioreactor and Pharmaceutical Development, Jilin Agricultural University, NO. 2888, XinCheng Avenue, 130118, Changchun, China", 
            "School of Pharmacy, Wenzhou Medical University, Chashan Avenue, 325035, Wenzhou, Zhejiang, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Xiaokun", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1093/nar/gkv1340", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002657699"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/thoraxjnl-2011-200017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003359111"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/thoraxjnl-2011-200017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003359111"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2466-5-13", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010343773", 
          "https://doi.org/10.1186/1471-2466-5-13"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2466-5-13", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010343773", 
          "https://doi.org/10.1186/1471-2466-5-13"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/aps.2012.69", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014243517", 
          "https://doi.org/10.1038/aps.2012.69"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1183/09059180.00007212", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014714275"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gku1177", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022955391"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fcell.2016.00030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024557490"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1000421", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028407558"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btu712", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031022277"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.535", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034446891", 
          "https://doi.org/10.1038/ng.535"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.535", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034446891", 
          "https://doi.org/10.1038/ng.535"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003246-200007000-00024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036233764"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003246-200007000-00024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036233764"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/15412555.2014.948990", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037209007"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2147/copd.s3078", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040930837"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1165/ajrcmb.26.5.f239", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041721773"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2147/copd.s82259", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043218978"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1165/rcmb.2010-0294oc", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045682928"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1164/rccm.201004-0541oc", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049422433"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1164/ajrccm.162.3.9908099", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050959851"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.18632/oncotarget.21874", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092266962"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.17219/acem/65691", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100933600"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.17219/acem/65691", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100933600"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12890-018-0603-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101338937", 
          "https://doi.org/10.1186/s12890-018-0603-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12890-018-0603-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101338937", 
          "https://doi.org/10.1186/s12890-018-0603-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12890-018-0603-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101338937", 
          "https://doi.org/10.1186/s12890-018-0603-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12890-018-0603-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101338937", 
          "https://doi.org/10.1186/s12890-018-0603-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mrgentox.2018.03.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101522489"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/hmg/ddy091", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101566077"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biopha.2018.04.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103284380"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fgene.2018.00133", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103428255"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "BACKGROUND: Genome-wide association studies (GWASs) of a large cohort of subjects with chronic obstructive pulmonary disease (COPD) have successfully identified multiple risk genes, including fibroblast growth factor 7 (FGF7). However, the underlying molecular mechanism influencing function of FGF7 and risk of COPD remains further study.\nMETHODS: In this study, we replicated the genetic association of variants near the FGF7 gene in 258 Chinese Han patients with COPD and 311 healthy controls. Additionally, we functionally evaluated a candidate causal variant upstream of the FGF7 gene.\nRESULTS: The most significant association was observed at rs12905203 (P\u2009=\u20095.9\u2009\u00d7\u200910-\u20093, odd ratio, OR\u2009=\u20091.516) that explains associations of previously reported variants at the FGF7 locus. Electrophoretic mobility shift assay (EMSA) and chromatin immunoprecipitation-quantitative polymerase chain reaction (ChIP-qPCR) assays showed that the risk allele of the variant was bound to activator protein 1 transcription factors (c-Fos and c-Jun) with a significantly reduced affinity and associated with decreased mRNA expression of FGF7 in fibroblast cells at both resting and PMA/Ionomycin-stimulated conditions. Overexpression of c-Fos and c-Jun proteins or stimulation with PMA/Ionomycin significantly increases mRNA expression of FGF7 in fibroblast cells. Bioinformatic analysis showed that the variant overlaps with multiple genetic regulatory marks, suggesting the regulatory DNA element might function as an enhancer for the FGF7 gene. Luciferase enhancer activity assays demonstrated that the DNA sequences carrying the variant produce enhancer activity while the risk allele of the variant reduces its activity.\nCONCLUSIONS: In this study, we demonstrated a consistent association of the FGF7 gene with COPD and mechanistically characterized a candidate functional variant upstream of the FGF7 gene. These data highlighted the important role of the risk variant and the FGF7 gene in influencing risk for COPD.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12881-019-0761-7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1024947", 
        "issn": [
          "1471-2350"
        ], 
        "name": "BMC Medical Genetics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "20"
      }
    ], 
    "name": "A functional variant alters binding of activating protein 1 regulating expression of FGF7 gene associated with chronic obstructive pulmonary disease", 
    "pagination": "33", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "96b68656943e62ad7c97ca1c3da58f077cf4f0ebd793290001d3f5ad09fcadcf"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30777021"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100968552"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12881-019-0761-7"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112217666"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12881-019-0761-7", 
      "https://app.dimensions.ai/details/publication/pub.1112217666"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:36", 
    "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/v90/0000000349_0000000349/records_113670_00000005.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12881-019-0761-7"
  }
]
 

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.10.1186/s12881-019-0761-7'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12881-019-0761-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12881-019-0761-7'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12881-019-0761-7'


 

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

186 TRIPLES      21 PREDICATES      54 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12881-019-0761-7 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author N5efe63d56261442ebbd977f6293173a1
4 schema:citation sg:pub.10.1038/aps.2012.69
5 sg:pub.10.1038/ng.535
6 sg:pub.10.1186/1471-2466-5-13
7 sg:pub.10.1186/s12890-018-0603-y
8 https://doi.org/10.1016/j.biopha.2018.04.026
9 https://doi.org/10.1016/j.mrgentox.2018.03.005
10 https://doi.org/10.1093/bioinformatics/btu712
11 https://doi.org/10.1093/hmg/ddy091
12 https://doi.org/10.1093/nar/gku1177
13 https://doi.org/10.1093/nar/gkv1340
14 https://doi.org/10.1097/00003246-200007000-00024
15 https://doi.org/10.1136/thoraxjnl-2011-200017
16 https://doi.org/10.1164/ajrccm.162.3.9908099
17 https://doi.org/10.1164/rccm.201004-0541oc
18 https://doi.org/10.1165/ajrcmb.26.5.f239
19 https://doi.org/10.1165/rcmb.2010-0294oc
20 https://doi.org/10.1183/09059180.00007212
21 https://doi.org/10.1371/journal.pgen.1000421
22 https://doi.org/10.17219/acem/65691
23 https://doi.org/10.18632/oncotarget.21874
24 https://doi.org/10.2147/copd.s3078
25 https://doi.org/10.2147/copd.s82259
26 https://doi.org/10.3109/15412555.2014.948990
27 https://doi.org/10.3389/fcell.2016.00030
28 https://doi.org/10.3389/fgene.2018.00133
29 schema:datePublished 2019-12
30 schema:datePublishedReg 2019-12-01
31 schema:description BACKGROUND: Genome-wide association studies (GWASs) of a large cohort of subjects with chronic obstructive pulmonary disease (COPD) have successfully identified multiple risk genes, including fibroblast growth factor 7 (FGF7). However, the underlying molecular mechanism influencing function of FGF7 and risk of COPD remains further study. METHODS: In this study, we replicated the genetic association of variants near the FGF7 gene in 258 Chinese Han patients with COPD and 311 healthy controls. Additionally, we functionally evaluated a candidate causal variant upstream of the FGF7 gene. RESULTS: The most significant association was observed at rs12905203 (P = 5.9 × 10- 3, odd ratio, OR = 1.516) that explains associations of previously reported variants at the FGF7 locus. Electrophoretic mobility shift assay (EMSA) and chromatin immunoprecipitation-quantitative polymerase chain reaction (ChIP-qPCR) assays showed that the risk allele of the variant was bound to activator protein 1 transcription factors (c-Fos and c-Jun) with a significantly reduced affinity and associated with decreased mRNA expression of FGF7 in fibroblast cells at both resting and PMA/Ionomycin-stimulated conditions. Overexpression of c-Fos and c-Jun proteins or stimulation with PMA/Ionomycin significantly increases mRNA expression of FGF7 in fibroblast cells. Bioinformatic analysis showed that the variant overlaps with multiple genetic regulatory marks, suggesting the regulatory DNA element might function as an enhancer for the FGF7 gene. Luciferase enhancer activity assays demonstrated that the DNA sequences carrying the variant produce enhancer activity while the risk allele of the variant reduces its activity. CONCLUSIONS: In this study, we demonstrated a consistent association of the FGF7 gene with COPD and mechanistically characterized a candidate functional variant upstream of the FGF7 gene. These data highlighted the important role of the risk variant and the FGF7 gene in influencing risk for COPD.
32 schema:genre research_article
33 schema:inLanguage en
34 schema:isAccessibleForFree true
35 schema:isPartOf N829d16df677b4f0db396faa0a9b6761d
36 Ne5b2ddf0ed3f4069863672786d30a13d
37 sg:journal.1024947
38 schema:name A functional variant alters binding of activating protein 1 regulating expression of FGF7 gene associated with chronic obstructive pulmonary disease
39 schema:pagination 33
40 schema:productId N4f962d30d0d8498bb7de4b0c452b7464
41 N90ed7567d6454a4aaddadab6ed48dad9
42 Ndd0ec6d9a2e34cd68946cc24db52d3c3
43 Nf4ca4dc869684b569dc2308004381530
44 Nf88cef0ca0784b89b6f1fb8481c0b3ea
45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112217666
46 https://doi.org/10.1186/s12881-019-0761-7
47 schema:sdDatePublished 2019-04-11T10:36
48 schema:sdLicense https://scigraph.springernature.com/explorer/license/
49 schema:sdPublisher Ncd29baf4715a4615af42f58043e4096e
50 schema:url https://link.springer.com/10.1186%2Fs12881-019-0761-7
51 sgo:license sg:explorer/license/
52 sgo:sdDataset articles
53 rdf:type schema:ScholarlyArticle
54 N0190cf67f71546bd9aabbad00e834df1 schema:affiliation https://www.grid.ac/institutes/grid.268099.c
55 schema:familyName Li
56 schema:givenName Xiaokun
57 rdf:type schema:Person
58 N06e6e8f67f03452798f81124f51de33c schema:affiliation https://www.grid.ac/institutes/grid.464353.3
59 schema:familyName Li
60 schema:givenName Haiyan
61 rdf:type schema:Person
62 N22231e8f3f024d53a56a0a92e2260154 schema:affiliation https://www.grid.ac/institutes/grid.464353.3
63 schema:familyName Yang
64 schema:givenName Jing
65 rdf:type schema:Person
66 N27efb0422e63409ab1544b90260213cc schema:affiliation https://www.grid.ac/institutes/grid.464353.3
67 schema:familyName Zhang
68 schema:givenName Xiaomei
69 rdf:type schema:Person
70 N430e881c76314df188067e92e245fc2a rdf:first N06e6e8f67f03452798f81124f51de33c
71 rdf:rest Nd3a0e14c3d394befa5045404f48f64c8
72 N4f962d30d0d8498bb7de4b0c452b7464 schema:name doi
73 schema:value 10.1186/s12881-019-0761-7
74 rdf:type schema:PropertyValue
75 N4fd8029e27cf4a00a4d0047b778a5e53 schema:affiliation https://www.grid.ac/institutes/grid.268099.c
76 schema:familyName Niu
77 schema:givenName Jianlou
78 rdf:type schema:Person
79 N5efe63d56261442ebbd977f6293173a1 rdf:first N27efb0422e63409ab1544b90260213cc
80 rdf:rest N87f9b51a314949a0861f494e2cfc7737
81 N76024fa18be647dc8ff726f52da9dcfc rdf:first Naf76c32aa05b4a798a14b0d6a77f64c0
82 rdf:rest N430e881c76314df188067e92e245fc2a
83 N829d16df677b4f0db396faa0a9b6761d schema:volumeNumber 20
84 rdf:type schema:PublicationVolume
85 N87f9b51a314949a0861f494e2cfc7737 rdf:first N9951ffd7f57e41dfa2f9528b3d62e693
86 rdf:rest N9942518068fc46e68206102c39c4f2ae
87 N90ed7567d6454a4aaddadab6ed48dad9 schema:name readcube_id
88 schema:value 96b68656943e62ad7c97ca1c3da58f077cf4f0ebd793290001d3f5ad09fcadcf
89 rdf:type schema:PropertyValue
90 N9942518068fc46e68206102c39c4f2ae rdf:first N22231e8f3f024d53a56a0a92e2260154
91 rdf:rest Na4ef3d6995894c7391726b5cda563b53
92 N9951ffd7f57e41dfa2f9528b3d62e693 schema:affiliation https://www.grid.ac/institutes/grid.464353.3
93 schema:familyName Guo
94 schema:givenName Yongxin
95 rdf:type schema:Person
96 Na4ef3d6995894c7391726b5cda563b53 rdf:first N4fd8029e27cf4a00a4d0047b778a5e53
97 rdf:rest N76024fa18be647dc8ff726f52da9dcfc
98 Naf76c32aa05b4a798a14b0d6a77f64c0 schema:affiliation https://www.grid.ac/institutes/grid.464353.3
99 schema:familyName Du
100 schema:givenName Lina
101 rdf:type schema:Person
102 Ncd29baf4715a4615af42f58043e4096e schema:name Springer Nature - SN SciGraph project
103 rdf:type schema:Organization
104 Nd3a0e14c3d394befa5045404f48f64c8 rdf:first N0190cf67f71546bd9aabbad00e834df1
105 rdf:rest rdf:nil
106 Ndd0ec6d9a2e34cd68946cc24db52d3c3 schema:name nlm_unique_id
107 schema:value 100968552
108 rdf:type schema:PropertyValue
109 Ne5b2ddf0ed3f4069863672786d30a13d schema:issueNumber 1
110 rdf:type schema:PublicationIssue
111 Nf4ca4dc869684b569dc2308004381530 schema:name pubmed_id
112 schema:value 30777021
113 rdf:type schema:PropertyValue
114 Nf88cef0ca0784b89b6f1fb8481c0b3ea schema:name dimensions_id
115 schema:value pub.1112217666
116 rdf:type schema:PropertyValue
117 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
118 schema:name Biological Sciences
119 rdf:type schema:DefinedTerm
120 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
121 schema:name Genetics
122 rdf:type schema:DefinedTerm
123 sg:journal.1024947 schema:issn 1471-2350
124 schema:name BMC Medical Genetics
125 rdf:type schema:Periodical
126 sg:pub.10.1038/aps.2012.69 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014243517
127 https://doi.org/10.1038/aps.2012.69
128 rdf:type schema:CreativeWork
129 sg:pub.10.1038/ng.535 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034446891
130 https://doi.org/10.1038/ng.535
131 rdf:type schema:CreativeWork
132 sg:pub.10.1186/1471-2466-5-13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010343773
133 https://doi.org/10.1186/1471-2466-5-13
134 rdf:type schema:CreativeWork
135 sg:pub.10.1186/s12890-018-0603-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1101338937
136 https://doi.org/10.1186/s12890-018-0603-y
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1016/j.biopha.2018.04.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103284380
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1016/j.mrgentox.2018.03.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101522489
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1093/bioinformatics/btu712 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031022277
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1093/hmg/ddy091 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101566077
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1093/nar/gku1177 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022955391
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1093/nar/gkv1340 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002657699
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1097/00003246-200007000-00024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036233764
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1136/thoraxjnl-2011-200017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003359111
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1164/ajrccm.162.3.9908099 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050959851
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1164/rccm.201004-0541oc schema:sameAs https://app.dimensions.ai/details/publication/pub.1049422433
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1165/ajrcmb.26.5.f239 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041721773
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1165/rcmb.2010-0294oc schema:sameAs https://app.dimensions.ai/details/publication/pub.1045682928
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1183/09059180.00007212 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014714275
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1371/journal.pgen.1000421 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028407558
165 rdf:type schema:CreativeWork
166 https://doi.org/10.17219/acem/65691 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100933600
167 rdf:type schema:CreativeWork
168 https://doi.org/10.18632/oncotarget.21874 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092266962
169 rdf:type schema:CreativeWork
170 https://doi.org/10.2147/copd.s3078 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040930837
171 rdf:type schema:CreativeWork
172 https://doi.org/10.2147/copd.s82259 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043218978
173 rdf:type schema:CreativeWork
174 https://doi.org/10.3109/15412555.2014.948990 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037209007
175 rdf:type schema:CreativeWork
176 https://doi.org/10.3389/fcell.2016.00030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024557490
177 rdf:type schema:CreativeWork
178 https://doi.org/10.3389/fgene.2018.00133 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103428255
179 rdf:type schema:CreativeWork
180 https://www.grid.ac/institutes/grid.268099.c schema:alternateName Wenzhou Medical College
181 schema:name College of Life Science, Engineering Research Center of the Chinese Ministry of Education for Bioreactor and Pharmaceutical Development, Jilin Agricultural University, NO. 2888, XinCheng Avenue, 130118, Changchun, China
182 School of Pharmacy, Wenzhou Medical University, Chashan Avenue, 325035, Wenzhou, Zhejiang, China
183 rdf:type schema:Organization
184 https://www.grid.ac/institutes/grid.464353.3 schema:alternateName Jilin Agricultural University
185 schema:name College of Life Science, Engineering Research Center of the Chinese Ministry of Education for Bioreactor and Pharmaceutical Development, Jilin Agricultural University, NO. 2888, XinCheng Avenue, 130118, Changchun, China
186 rdf:type schema:Organization
 




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


...