Bmo-miR-9a down regulates the expression of Bm-ase Gene in vitro View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-03

AUTHORS

Fei Song, Yong Huang, Xin Wang, Shunming Tang, Xingjia Shen

ABSTRACT

MicroRNAs (miRNAs) are a class of non-protein coding small RNAs of 18–24 nucleotides in length that regulate expression of genes at post-transcriptional levels and play multiple roles in biological processes. Bm-ase plays an important role in the course of nerve development of the silkworm, Bombyx mori. Bmo-miR-9a is a conservative miRNA. By using target prediction software RNA22 and RNAhybrid, we found a target site of Bmo-miR-9a in the 3’UTR of Bm-ase gene. To verify the regulation function of Bmo-miR-9a on the expression of Bm-ase gene, a Bmo-miR-9a over-expressing vector and Bm-ase 3’UTR fused firefly luciferase gene reporter plasmid were constructed, respectively. Then they were used to co-transfect the BmN cells. The result showed that luciferase activity in the co-transfected cells was suppressed compared with the control. A similar result was obtained when BmN cells were co-transfected with artificial synthetic Bmo-miR-9a mimics and Bm-ase 3’UTR fused luciferase reporter plasmid. These results suggest that Bmo-miR-9a can down regulate the expression of Bm-ase gene. More... »

PAGES

170-175

Journal

TITLE

Russian Journal of Bioorganic Chemistry

ISSUE

2

VOLUME

39

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s1068162013020052

DOI

http://dx.doi.org/10.1134/s1068162013020052

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1016300539


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": "Jiangsu University", 
          "id": "https://www.grid.ac/institutes/grid.440785.a", 
          "name": [
            "Jiangsu University of Science and Technology, 212018, Zhenjiang Jiangsu, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Song", 
        "givenName": "Fei", 
        "id": "sg:person.0723353777.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0723353777.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jiangsu University", 
          "id": "https://www.grid.ac/institutes/grid.440785.a", 
          "name": [
            "Jiangsu University of Science and Technology, 212018, Zhenjiang Jiangsu, China", 
            "Animal Science and Technology College, He Nan University of Science and Technology, 471003, Luoyang City, Henan Province, PR China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Huang", 
        "givenName": "Yong", 
        "id": "sg:person.01031113006.74", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01031113006.74"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jiangsu University", 
          "id": "https://www.grid.ac/institutes/grid.440785.a", 
          "name": [
            "Jiangsu University of Science and Technology, 212018, Zhenjiang Jiangsu, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Xin", 
        "id": "sg:person.0723177316.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0723177316.77"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jiangsu University", 
          "id": "https://www.grid.ac/institutes/grid.440785.a", 
          "name": [
            "Jiangsu University of Science and Technology, 212018, Zhenjiang Jiangsu, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tang", 
        "givenName": "Shunming", 
        "id": "sg:person.0706123577.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0706123577.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jiangsu University", 
          "id": "https://www.grid.ac/institutes/grid.440785.a", 
          "name": [
            "Jiangsu University of Science and Technology, 212018, Zhenjiang Jiangsu, China", 
            "The Key Laboratory of Silkworm and Mulberry Genetic Improvement, Ministry of Agriculture, Sericultural Research Institute, Chinese Academy of Agricultural Sciences, 212018, Zhenjiang Jiangsu, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shen", 
        "givenName": "Xingjia", 
        "id": "sg:person.01163042127.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01163042127.29"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/gb-2004-5-3-r13", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000703776", 
          "https://doi.org/10.1186/gb-2004-5-3-r13"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.cellbio.23.090506.123406", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004260618"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/07853890701771823", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007860565"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2156-9-24", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011596817", 
          "https://doi.org/10.1186/1471-2156-9-24"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0960-9822(02)00809-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012534253"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1271/bbb.66.1488", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014310251"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1631/jzus.b1000296", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015432050", 
          "https://doi.org/10.1631/jzus.b1000296"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkg707", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019357581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-1119(02)00628-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019650006"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0092-8674(04)00045-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031254572"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1534-5807(03)00228-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031529855"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbrc.2005.06.130", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031872736"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gad.1466306", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039289852"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbrc.2009.08.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040946098"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ydbio.2008.12.036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046225801"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2967/jnumed.107.042507", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047107564"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0026893311040133", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048966182", 
          "https://doi.org/10.1134/s0026893311040133"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/j.1460-2075.1993.tb05854.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082829526"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-03", 
    "datePublishedReg": "2013-03-01", 
    "description": "MicroRNAs (miRNAs) are a class of non-protein coding small RNAs of 18\u201324 nucleotides in length that regulate expression of genes at post-transcriptional levels and play multiple roles in biological processes. Bm-ase plays an important role in the course of nerve development of the silkworm, Bombyx mori. Bmo-miR-9a is a conservative miRNA. By using target prediction software RNA22 and RNAhybrid, we found a target site of Bmo-miR-9a in the 3\u2019UTR of Bm-ase gene. To verify the regulation function of Bmo-miR-9a on the expression of Bm-ase gene, a Bmo-miR-9a over-expressing vector and Bm-ase 3\u2019UTR fused firefly luciferase gene reporter plasmid were constructed, respectively. Then they were used to co-transfect the BmN cells. The result showed that luciferase activity in the co-transfected cells was suppressed compared with the control. A similar result was obtained when BmN cells were co-transfected with artificial synthetic Bmo-miR-9a mimics and Bm-ase 3\u2019UTR fused luciferase reporter plasmid. These results suggest that Bmo-miR-9a can down regulate the expression of Bm-ase gene.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1134/s1068162013020052", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1087149", 
        "issn": [
          "1068-1620", 
          "1608-330X"
        ], 
        "name": "Russian Journal of Bioorganic Chemistry", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "39"
      }
    ], 
    "name": "Bmo-miR-9a down regulates the expression of Bm-ase Gene in vitro", 
    "pagination": "170-175", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "4dab2a574fc080397513f3a2579619014f3420d851933f235c470a23c85560d6"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/s1068162013020052"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1016300539"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/s1068162013020052", 
      "https://app.dimensions.ai/details/publication/pub.1016300539"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T14:07", 
    "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_8660_00000504.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1134%2FS1068162013020052"
  }
]
 

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.10.1134/s1068162013020052'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1134/s1068162013020052'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s1068162013020052'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s1068162013020052'


 

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

149 TRIPLES      21 PREDICATES      45 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1134/s1068162013020052 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author N3725e4176868470dace5011a09af4ee2
4 schema:citation sg:pub.10.1134/s0026893311040133
5 sg:pub.10.1186/1471-2156-9-24
6 sg:pub.10.1186/gb-2004-5-3-r13
7 sg:pub.10.1631/jzus.b1000296
8 https://doi.org/10.1002/j.1460-2075.1993.tb05854.x
9 https://doi.org/10.1016/j.bbrc.2005.06.130
10 https://doi.org/10.1016/j.bbrc.2009.08.020
11 https://doi.org/10.1016/j.ydbio.2008.12.036
12 https://doi.org/10.1016/s0092-8674(04)00045-5
13 https://doi.org/10.1016/s0378-1119(02)00628-5
14 https://doi.org/10.1016/s0960-9822(02)00809-6
15 https://doi.org/10.1016/s1534-5807(03)00228-4
16 https://doi.org/10.1080/07853890701771823
17 https://doi.org/10.1093/nar/gkg707
18 https://doi.org/10.1101/gad.1466306
19 https://doi.org/10.1146/annurev.cellbio.23.090506.123406
20 https://doi.org/10.1271/bbb.66.1488
21 https://doi.org/10.2967/jnumed.107.042507
22 schema:datePublished 2013-03
23 schema:datePublishedReg 2013-03-01
24 schema:description MicroRNAs (miRNAs) are a class of non-protein coding small RNAs of 18–24 nucleotides in length that regulate expression of genes at post-transcriptional levels and play multiple roles in biological processes. Bm-ase plays an important role in the course of nerve development of the silkworm, Bombyx mori. Bmo-miR-9a is a conservative miRNA. By using target prediction software RNA22 and RNAhybrid, we found a target site of Bmo-miR-9a in the 3’UTR of Bm-ase gene. To verify the regulation function of Bmo-miR-9a on the expression of Bm-ase gene, a Bmo-miR-9a over-expressing vector and Bm-ase 3’UTR fused firefly luciferase gene reporter plasmid were constructed, respectively. Then they were used to co-transfect the BmN cells. The result showed that luciferase activity in the co-transfected cells was suppressed compared with the control. A similar result was obtained when BmN cells were co-transfected with artificial synthetic Bmo-miR-9a mimics and Bm-ase 3’UTR fused luciferase reporter plasmid. These results suggest that Bmo-miR-9a can down regulate the expression of Bm-ase gene.
25 schema:genre research_article
26 schema:inLanguage en
27 schema:isAccessibleForFree false
28 schema:isPartOf N3f8a3377378c47ed852fc203288663fa
29 Na7312f45c95348168b2563669d1aa78b
30 sg:journal.1087149
31 schema:name Bmo-miR-9a down regulates the expression of Bm-ase Gene in vitro
32 schema:pagination 170-175
33 schema:productId N0a6971e3d863475a9df319c805f188a5
34 N61511b213577418db5252bb85e60bfe2
35 N7e2c4280ea6f4555917f289dd775dc30
36 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016300539
37 https://doi.org/10.1134/s1068162013020052
38 schema:sdDatePublished 2019-04-10T14:07
39 schema:sdLicense https://scigraph.springernature.com/explorer/license/
40 schema:sdPublisher N094fa243acdf47bcb8f897cf090b339f
41 schema:url http://link.springer.com/10.1134%2FS1068162013020052
42 sgo:license sg:explorer/license/
43 sgo:sdDataset articles
44 rdf:type schema:ScholarlyArticle
45 N00faacdfaa7a4e29a2d4df51808c599a rdf:first sg:person.0706123577.10
46 rdf:rest Naf9c176196b1498aa37aa44f85f44509
47 N094fa243acdf47bcb8f897cf090b339f schema:name Springer Nature - SN SciGraph project
48 rdf:type schema:Organization
49 N0a6971e3d863475a9df319c805f188a5 schema:name readcube_id
50 schema:value 4dab2a574fc080397513f3a2579619014f3420d851933f235c470a23c85560d6
51 rdf:type schema:PropertyValue
52 N2123a4625c7148969ff7d50bbe2883ae rdf:first sg:person.0723177316.77
53 rdf:rest N00faacdfaa7a4e29a2d4df51808c599a
54 N3725e4176868470dace5011a09af4ee2 rdf:first sg:person.0723353777.45
55 rdf:rest Nd755bcb965f24926a3dfddb25ae6d944
56 N3f8a3377378c47ed852fc203288663fa schema:volumeNumber 39
57 rdf:type schema:PublicationVolume
58 N61511b213577418db5252bb85e60bfe2 schema:name dimensions_id
59 schema:value pub.1016300539
60 rdf:type schema:PropertyValue
61 N7e2c4280ea6f4555917f289dd775dc30 schema:name doi
62 schema:value 10.1134/s1068162013020052
63 rdf:type schema:PropertyValue
64 Na7312f45c95348168b2563669d1aa78b schema:issueNumber 2
65 rdf:type schema:PublicationIssue
66 Naf9c176196b1498aa37aa44f85f44509 rdf:first sg:person.01163042127.29
67 rdf:rest rdf:nil
68 Nd755bcb965f24926a3dfddb25ae6d944 rdf:first sg:person.01031113006.74
69 rdf:rest N2123a4625c7148969ff7d50bbe2883ae
70 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
71 schema:name Biological Sciences
72 rdf:type schema:DefinedTerm
73 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
74 schema:name Genetics
75 rdf:type schema:DefinedTerm
76 sg:journal.1087149 schema:issn 1068-1620
77 1608-330X
78 schema:name Russian Journal of Bioorganic Chemistry
79 rdf:type schema:Periodical
80 sg:person.01031113006.74 schema:affiliation https://www.grid.ac/institutes/grid.440785.a
81 schema:familyName Huang
82 schema:givenName Yong
83 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01031113006.74
84 rdf:type schema:Person
85 sg:person.01163042127.29 schema:affiliation https://www.grid.ac/institutes/grid.440785.a
86 schema:familyName Shen
87 schema:givenName Xingjia
88 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01163042127.29
89 rdf:type schema:Person
90 sg:person.0706123577.10 schema:affiliation https://www.grid.ac/institutes/grid.440785.a
91 schema:familyName Tang
92 schema:givenName Shunming
93 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0706123577.10
94 rdf:type schema:Person
95 sg:person.0723177316.77 schema:affiliation https://www.grid.ac/institutes/grid.440785.a
96 schema:familyName Wang
97 schema:givenName Xin
98 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0723177316.77
99 rdf:type schema:Person
100 sg:person.0723353777.45 schema:affiliation https://www.grid.ac/institutes/grid.440785.a
101 schema:familyName Song
102 schema:givenName Fei
103 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0723353777.45
104 rdf:type schema:Person
105 sg:pub.10.1134/s0026893311040133 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048966182
106 https://doi.org/10.1134/s0026893311040133
107 rdf:type schema:CreativeWork
108 sg:pub.10.1186/1471-2156-9-24 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011596817
109 https://doi.org/10.1186/1471-2156-9-24
110 rdf:type schema:CreativeWork
111 sg:pub.10.1186/gb-2004-5-3-r13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000703776
112 https://doi.org/10.1186/gb-2004-5-3-r13
113 rdf:type schema:CreativeWork
114 sg:pub.10.1631/jzus.b1000296 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015432050
115 https://doi.org/10.1631/jzus.b1000296
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1002/j.1460-2075.1993.tb05854.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1082829526
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1016/j.bbrc.2005.06.130 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031872736
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1016/j.bbrc.2009.08.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040946098
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1016/j.ydbio.2008.12.036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046225801
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1016/s0092-8674(04)00045-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031254572
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1016/s0378-1119(02)00628-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019650006
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1016/s0960-9822(02)00809-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012534253
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1016/s1534-5807(03)00228-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031529855
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1080/07853890701771823 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007860565
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1093/nar/gkg707 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019357581
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1101/gad.1466306 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039289852
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1146/annurev.cellbio.23.090506.123406 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004260618
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1271/bbb.66.1488 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014310251
142 rdf:type schema:CreativeWork
143 https://doi.org/10.2967/jnumed.107.042507 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047107564
144 rdf:type schema:CreativeWork
145 https://www.grid.ac/institutes/grid.440785.a schema:alternateName Jiangsu University
146 schema:name Animal Science and Technology College, He Nan University of Science and Technology, 471003, Luoyang City, Henan Province, PR China
147 Jiangsu University of Science and Technology, 212018, Zhenjiang Jiangsu, China
148 The Key Laboratory of Silkworm and Mulberry Genetic Improvement, Ministry of Agriculture, Sericultural Research Institute, Chinese Academy of Agricultural Sciences, 212018, Zhenjiang Jiangsu, China
149 rdf:type schema:Organization
 




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


...