Improved Method of RNA Isolation from Laser Capture Microdissection (LCM)-Derived Plant Tissues. View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2019

AUTHORS

Vibhav Gautam , Archita Singh , Sharmila Singh , Swati Verma , Ananda K Sarkar

ABSTRACT

Laser capture microdissection (LCM) is a tool to isolate desired and/or less accessible cells or tissues from a heterogeneous population. In the current method, we describe an efficient and cost-effective method to obtain both high-quality mRNA and miRNAs in sufficient quantity from LCM-derived plant tissues. The quality of the isolated RNA can be assessed using Bioanalyzer. Using modified stem-loop RT-PCR, we confirmed the presence of 21-24 nucleotide (nt) long mature miRNAs. This modified LCM-based method has been found to be suitable for the tissue-specific expression analysis of both genes and small RNAs (miRNAs). More... »

PAGES

89-98

Book

TITLE

Plant Long Non-Coding RNAs

ISBN

978-1-4939-9044-3
978-1-4939-9045-0

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-1-4939-9045-0_5

DOI

http://dx.doi.org/10.1007/978-1-4939-9045-0_5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113182550

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30945180


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": "National Institute of Plant Genome Research", 
          "id": "https://www.grid.ac/institutes/grid.419632.b", 
          "name": [
            "National Institute of Plant Genome Research (NIPGR), New Delhi, India."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gautam", 
        "givenName": "Vibhav", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Plant Genome Research", 
          "id": "https://www.grid.ac/institutes/grid.419632.b", 
          "name": [
            "National Institute of Plant Genome Research (NIPGR), New Delhi, India."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Singh", 
        "givenName": "Archita", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Plant Genome Research", 
          "id": "https://www.grid.ac/institutes/grid.419632.b", 
          "name": [
            "National Institute of Plant Genome Research (NIPGR), New Delhi, India."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Singh", 
        "givenName": "Sharmila", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Plant Genome Research", 
          "id": "https://www.grid.ac/institutes/grid.419632.b", 
          "name": [
            "National Institute of Plant Genome Research (NIPGR), New Delhi, India."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Verma", 
        "givenName": "Swati", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Plant Genome Research", 
          "id": "https://www.grid.ac/institutes/grid.419632.b", 
          "name": [
            "National Institute of Plant Genome Research (NIPGR), New Delhi, India. aksarkar@nipgr.ac.in."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sarkar", 
        "givenName": "Ananda K", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s12033-014-9824-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001561921", 
          "https://doi.org/10.1007/s12033-014-9824-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1105/tpc.105.031724", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002747887"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/0471142727.mb25a03s87", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007632908"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/0471142727.mb25a03s87", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007632908"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep21577", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011750804", 
          "https://doi.org/10.1038/srep21577"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1000476", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011912295"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/scientificamerican0376-108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016670772", 
          "https://doi.org/10.1038/scientificamerican0376-108"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth0805-615", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022804472", 
          "https://doi.org/10.1038/nmeth0805-615"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth0805-615", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022804472", 
          "https://doi.org/10.1038/nmeth0805-615"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth0805-615", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022804472", 
          "https://doi.org/10.1038/nmeth0805-615"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-313x.2007.03244.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028076986"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ymeth.2010.01.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034990420"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ymeth.2010.01.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034990420"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1746-4811-3-12", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037484394", 
          "https://doi.org/10.1186/1746-4811-3-12"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-60761-765-5_21", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041564395", 
          "https://doi.org/10.1007/978-1-60761-765-5_21"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-60761-765-5_21", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041564395", 
          "https://doi.org/10.1007/978-1-60761-765-5_21"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1104/pp.102.018127", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050664261"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.274.5289.998", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062554765"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077725148", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019", 
    "datePublishedReg": "2019-01-01", 
    "description": "Laser capture microdissection (LCM) is a tool to isolate desired and/or less accessible cells or tissues from a heterogeneous population. In the current method, we describe an efficient and cost-effective method to obtain both high-quality mRNA and miRNAs in sufficient quantity from LCM-derived plant tissues. The quality of the isolated RNA can be assessed using Bioanalyzer. Using modified stem-loop RT-PCR, we confirmed the presence of 21-24 nucleotide\u00a0(nt) long mature miRNAs. This modified LCM-based method has been found to be suitable for the tissue-specific expression analysis of both genes and small RNAs (miRNAs).", 
    "editor": [
      {
        "familyName": "Chekanova", 
        "givenName": "Julia A.", 
        "type": "Person"
      }, 
      {
        "familyName": "Wang", 
        "givenName": "Hsiao-Lin V.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-1-4939-9045-0_5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-1-4939-9044-3", 
        "978-1-4939-9045-0"
      ], 
      "name": "Plant Long Non-Coding RNAs", 
      "type": "Book"
    }, 
    "name": "Improved Method of RNA Isolation from Laser Capture Microdissection (LCM)-Derived Plant Tissues.", 
    "pagination": "89-98", 
    "productId": [
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30945180"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1113182550"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-1-4939-9045-0_5"
        ]
      }
    ], 
    "publisher": {
      "location": "New York, NY", 
      "name": "Springer New York", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-1-4939-9045-0_5", 
      "https://app.dimensions.ai/details/publication/pub.1113182550"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T09:18", 
    "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_130817_00000006.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-1-4939-9045-0_5"
  }
]
 

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.10.1007/978-1-4939-9045-0_5'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-1-4939-9045-0_5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-1-4939-9045-0_5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-1-4939-9045-0_5'


 

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

141 TRIPLES      23 PREDICATES      41 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-1-4939-9045-0_5 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author Nea97f710c53d497d9db8e8af1235f82b
4 schema:citation sg:pub.10.1007/978-1-60761-765-5_21
5 sg:pub.10.1007/s12033-014-9824-3
6 sg:pub.10.1038/nmeth0805-615
7 sg:pub.10.1038/scientificamerican0376-108
8 sg:pub.10.1038/srep21577
9 sg:pub.10.1186/1746-4811-3-12
10 https://app.dimensions.ai/details/publication/pub.1077725148
11 https://doi.org/10.1002/0471142727.mb25a03s87
12 https://doi.org/10.1016/j.ymeth.2010.01.026
13 https://doi.org/10.1104/pp.102.018127
14 https://doi.org/10.1105/tpc.105.031724
15 https://doi.org/10.1111/j.1365-313x.2007.03244.x
16 https://doi.org/10.1126/science.274.5289.998
17 https://doi.org/10.1371/journal.pgen.1000476
18 schema:datePublished 2019
19 schema:datePublishedReg 2019-01-01
20 schema:description Laser capture microdissection (LCM) is a tool to isolate desired and/or less accessible cells or tissues from a heterogeneous population. In the current method, we describe an efficient and cost-effective method to obtain both high-quality mRNA and miRNAs in sufficient quantity from LCM-derived plant tissues. The quality of the isolated RNA can be assessed using Bioanalyzer. Using modified stem-loop RT-PCR, we confirmed the presence of 21-24 nucleotide (nt) long mature miRNAs. This modified LCM-based method has been found to be suitable for the tissue-specific expression analysis of both genes and small RNAs (miRNAs).
21 schema:editor N10496771c2f347dba3db5ffa1c3db195
22 schema:genre chapter
23 schema:inLanguage en
24 schema:isAccessibleForFree false
25 schema:isPartOf N60076073570c462eb634e3de14a44371
26 schema:name Improved Method of RNA Isolation from Laser Capture Microdissection (LCM)-Derived Plant Tissues.
27 schema:pagination 89-98
28 schema:productId N1ef72cb88d734b9fbef1eb40cb596ab0
29 N9b5895913b404b56821c8e5455e22e98
30 Nacc6f5d49135480ea41479b35df0aa51
31 schema:publisher N0feb59646c1848c8b6d69eeebbef15e0
32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113182550
33 https://doi.org/10.1007/978-1-4939-9045-0_5
34 schema:sdDatePublished 2019-04-16T09:18
35 schema:sdLicense https://scigraph.springernature.com/explorer/license/
36 schema:sdPublisher Ne2e945bc6b7d49dd91be1660935fd4d2
37 schema:url http://link.springer.com/10.1007/978-1-4939-9045-0_5
38 sgo:license sg:explorer/license/
39 sgo:sdDataset chapters
40 rdf:type schema:Chapter
41 N09142959d7c54468986a1ee06eb9e5ca rdf:first N9dfc057b5f6a452381a9d770e6bfb97e
42 rdf:rest rdf:nil
43 N0feb59646c1848c8b6d69eeebbef15e0 schema:location New York, NY
44 schema:name Springer New York
45 rdf:type schema:Organisation
46 N10496771c2f347dba3db5ffa1c3db195 rdf:first Nc5a8dc72758c4a26b93f5aa47ea28575
47 rdf:rest N5a650f3ca2e344c98bce490688d64cae
48 N1ef72cb88d734b9fbef1eb40cb596ab0 schema:name pubmed_id
49 schema:value 30945180
50 rdf:type schema:PropertyValue
51 N30cfb52bb907433eba7f8b795b6ba3c4 schema:affiliation https://www.grid.ac/institutes/grid.419632.b
52 schema:familyName Verma
53 schema:givenName Swati
54 rdf:type schema:Person
55 N5a650f3ca2e344c98bce490688d64cae rdf:first Nf923ed4b48fc4565a85adf9aae9a3904
56 rdf:rest rdf:nil
57 N60076073570c462eb634e3de14a44371 schema:isbn 978-1-4939-9044-3
58 978-1-4939-9045-0
59 schema:name Plant Long Non-Coding RNAs
60 rdf:type schema:Book
61 N607b0fab95584d2f81d8d9e25acc7450 rdf:first N6f96e8c31f544b00959191a51cd66641
62 rdf:rest N9c6527a2f2844020bf52f68a76e15128
63 N6f96e8c31f544b00959191a51cd66641 schema:affiliation https://www.grid.ac/institutes/grid.419632.b
64 schema:familyName Singh
65 schema:givenName Archita
66 rdf:type schema:Person
67 N9b5895913b404b56821c8e5455e22e98 schema:name doi
68 schema:value 10.1007/978-1-4939-9045-0_5
69 rdf:type schema:PropertyValue
70 N9c6527a2f2844020bf52f68a76e15128 rdf:first N9e8d036f0da24b96b4df8419b0b5ec18
71 rdf:rest Nbdb57cd9ce2143b8a03158da0bafc30b
72 N9dfc057b5f6a452381a9d770e6bfb97e schema:affiliation https://www.grid.ac/institutes/grid.419632.b
73 schema:familyName Sarkar
74 schema:givenName Ananda K
75 rdf:type schema:Person
76 N9e8d036f0da24b96b4df8419b0b5ec18 schema:affiliation https://www.grid.ac/institutes/grid.419632.b
77 schema:familyName Singh
78 schema:givenName Sharmila
79 rdf:type schema:Person
80 Nacc6f5d49135480ea41479b35df0aa51 schema:name dimensions_id
81 schema:value pub.1113182550
82 rdf:type schema:PropertyValue
83 Nb1a6a423b40b48e294323200af311f7e schema:affiliation https://www.grid.ac/institutes/grid.419632.b
84 schema:familyName Gautam
85 schema:givenName Vibhav
86 rdf:type schema:Person
87 Nbdb57cd9ce2143b8a03158da0bafc30b rdf:first N30cfb52bb907433eba7f8b795b6ba3c4
88 rdf:rest N09142959d7c54468986a1ee06eb9e5ca
89 Nc5a8dc72758c4a26b93f5aa47ea28575 schema:familyName Chekanova
90 schema:givenName Julia A.
91 rdf:type schema:Person
92 Ne2e945bc6b7d49dd91be1660935fd4d2 schema:name Springer Nature - SN SciGraph project
93 rdf:type schema:Organization
94 Nea97f710c53d497d9db8e8af1235f82b rdf:first Nb1a6a423b40b48e294323200af311f7e
95 rdf:rest N607b0fab95584d2f81d8d9e25acc7450
96 Nf923ed4b48fc4565a85adf9aae9a3904 schema:familyName Wang
97 schema:givenName Hsiao-Lin V.
98 rdf:type schema:Person
99 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
100 schema:name Biological Sciences
101 rdf:type schema:DefinedTerm
102 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
103 schema:name Genetics
104 rdf:type schema:DefinedTerm
105 sg:pub.10.1007/978-1-60761-765-5_21 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041564395
106 https://doi.org/10.1007/978-1-60761-765-5_21
107 rdf:type schema:CreativeWork
108 sg:pub.10.1007/s12033-014-9824-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001561921
109 https://doi.org/10.1007/s12033-014-9824-3
110 rdf:type schema:CreativeWork
111 sg:pub.10.1038/nmeth0805-615 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022804472
112 https://doi.org/10.1038/nmeth0805-615
113 rdf:type schema:CreativeWork
114 sg:pub.10.1038/scientificamerican0376-108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016670772
115 https://doi.org/10.1038/scientificamerican0376-108
116 rdf:type schema:CreativeWork
117 sg:pub.10.1038/srep21577 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011750804
118 https://doi.org/10.1038/srep21577
119 rdf:type schema:CreativeWork
120 sg:pub.10.1186/1746-4811-3-12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037484394
121 https://doi.org/10.1186/1746-4811-3-12
122 rdf:type schema:CreativeWork
123 https://app.dimensions.ai/details/publication/pub.1077725148 schema:CreativeWork
124 https://doi.org/10.1002/0471142727.mb25a03s87 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007632908
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1016/j.ymeth.2010.01.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034990420
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1104/pp.102.018127 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050664261
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1105/tpc.105.031724 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002747887
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1111/j.1365-313x.2007.03244.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1028076986
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1126/science.274.5289.998 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062554765
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1371/journal.pgen.1000476 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011912295
137 rdf:type schema:CreativeWork
138 https://www.grid.ac/institutes/grid.419632.b schema:alternateName National Institute of Plant Genome Research
139 schema:name National Institute of Plant Genome Research (NIPGR), New Delhi, India.
140 National Institute of Plant Genome Research (NIPGR), New Delhi, India. aksarkar@nipgr.ac.in.
141 rdf:type schema:Organization
 




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


...