Improved laser capture microdissection (LCM)-based method for isolation of RNA, including miRNA and expression analysis in woody apple bud meristem. View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04-11

AUTHORS

Swati Verma, Vibhav Gautam, Ananda K Sarkar

ABSTRACT

MAIN CONCLUSION: Isolation of high-quality RNA, including miRNA, from microscopic woody apple bud meristem using laser capture microdissection-based method. It is often challenging to study the expression of microRNAs (miRNAs) or genes in less accessible inner tissues of tree species rich in polyphenols or polysaccharides. Here, we report a laser capture microdissection (LCM)-based method for efficient and cost-effective isolation and expression analysis of miRNAs and genes in the meristem tissue of woody apple bud. The tissue fixation, processing, infiltration, and sectioning steps were optimized for LCM-based excision and subsequent RNA isolation. Further, we have confirmed that RNA isolated from LCM-derived apple bud meristem contained miRNAs and was of good quantity and quality, sufficient for downstream expression analysis. More... »

References to SciGraph publications

  • 2016-04. An Efficient LCM-Based Method for Tissue Specific Expression Analysis of Genes and miRNAs in SCIENTIFIC REPORTS
  • 2018-12. Combining laser-assisted microdissection (LAM) and RNA-seq allows to perform a comprehensive transcriptomic analysis of epidermal cells of Arabidopsis embryo in PLANT METHODS
  • 2004-12. RNA extraction from different apple tissues rich in polyphenols and polysaccharides for cDNA library construction in PLANT MOLECULAR BIOLOGY REPORTER
  • 2018-07-25. Laser Capture Micro-Dissection Coupled to RNA Sequencing: A Powerful Approach Applied to the Model Legume Medicago truncatula in Interaction with Sinorhizobium meliloti in PLANT TRANSCRIPTION FACTORS
  • 2015-09. Seasonal variation in formation, structure, and chemical properties of phloem in Picea abies as studied by novel microtechniques in PLANTA
  • 2015-04. Laser Assisted Microdissection, an Efficient Technique to Understand Tissue Specific Gene Expression Patterns and Functional Genomics in Plants in MOLECULAR BIOTECHNOLOGY
  • 2017-12. Role of miRNAs in root development of model plant Arabidopsis thaliana in INDIAN JOURNAL OF PLANT PHYSIOLOGY
  • 2006-08. Laser-capture microdissection in NATURE PROTOCOLS
  • 2018-09. Plant small RNAs: advancement in the understanding of biogenesis and role in plant development in PLANTA
  • 2010-11. A method for obtaining high quality RNA from paraffin sections of plant tissues by laser microdissection in JOURNAL OF PLANT RESEARCH
  • 2017-07. High-quality de novo assembly of the apple genome and methylome dynamics of early fruit development in NATURE GENETICS
  • 2010-12. Laser microdissection of conifer stem tissues: Isolation and analysis of high quality RNA, terpene synthase enzyme activity and terpenoid metabolites from resin ducts and cambial zone tissue of white spruce (Picea glauca) in BMC PLANT BIOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00425-019-03127-0

    DOI

    http://dx.doi.org/10.1007/s00425-019-03127-0

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1113378506

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30976910


    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, Aruna Asaf Ali Marg, New Delhi, 110067, India."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Verma", 
            "givenName": "Swati", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Institute of Medical Sciences", 
              "id": "https://www.grid.ac/institutes/grid.463154.1", 
              "name": [
                "National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi, 110067, India.", 
                "Centre of Experimental Medicine and Surgery, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, 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, Aruna Asaf Ali Marg, New Delhi, 110067, 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": "sg:pub.10.1007/bf02772687", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005327104", 
              "https://doi.org/10.1007/bf02772687"
            ], 
            "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/10.1105/tpc.112.099614", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012449268"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nprot.2006.85", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012789273", 
              "https://doi.org/10.1038/nprot.2006.85"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nprot.2006.85", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012789273", 
              "https://doi.org/10.1038/nprot.2006.85"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1242/dev.075390", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014894418"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/17429140902770396", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018890797"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1105/tpc.008102", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020174549"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10265-010-0319-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024396014", 
              "https://doi.org/10.1007/s10265-010-0319-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10265-010-0319-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024396014", 
              "https://doi.org/10.1007/s10265-010-0319-4"
            ], 
            "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": "sg:pub.10.1186/1471-2229-10-106", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028101567", 
              "https://doi.org/10.1186/1471-2229-10-106"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3389/fpls.2016.01965", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032777921"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00425-015-2347-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033701314", 
              "https://doi.org/10.1007/s00425-015-2347-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/jxb/erv061", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048160212"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cell.2009.06.031", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049797711"
            ], 
            "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/10.21769/bioprotoc.835", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069252352"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.3886", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085864660", 
              "https://doi.org/10.1038/ng.3886"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.3886", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085864660", 
              "https://doi.org/10.1038/ng.3886"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1104/pp.17.01483", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093074365"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s40502-017-0334-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099919034", 
              "https://doi.org/10.1007/s40502-017-0334-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13007-018-0275-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1100801003", 
              "https://doi.org/10.1186/s13007-018-0275-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/tpj.13908", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101729327"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/tpj.13908", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101729327"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/tpj.13908", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101729327"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00425-018-2927-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105270110", 
              "https://doi.org/10.1007/s00425-018-2927-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4939-8657-6_12", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105812187", 
              "https://doi.org/10.1007/978-1-4939-8657-6_12"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4939-8657-6_12", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105812187", 
              "https://doi.org/10.1007/978-1-4939-8657-6_12"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/tpj.14084", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1106879856"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-04-11", 
        "datePublishedReg": "2019-04-11", 
        "description": "MAIN CONCLUSION: Isolation of high-quality RNA, including miRNA, from microscopic woody apple bud meristem using laser capture microdissection-based method. It is often challenging to study the expression of microRNAs (miRNAs) or genes in less accessible inner tissues of tree species rich in polyphenols or polysaccharides. Here, we report a laser capture microdissection (LCM)-based method for efficient and cost-effective isolation and expression analysis of miRNAs and genes in the meristem tissue\u00a0of\u00a0woody apple bud. The tissue fixation, processing, infiltration, and sectioning steps were optimized for LCM-based excision and subsequent RNA isolation. Further, we have confirmed that RNA isolated from LCM-derived apple bud meristem contained miRNAs and was of good quantity and quality, sufficient for downstream expression analysis.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s00425-019-03127-0", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1054035", 
            "issn": [
              "0032-0935", 
              "1432-2048"
            ], 
            "name": "Planta", 
            "type": "Periodical"
          }
        ], 
        "name": "Improved laser capture microdissection (LCM)-based method for isolation of RNA, including miRNA and expression analysis in woody apple bud meristem.", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00425-019-03127-0"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1113378506"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "1250576"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "30976910"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00425-019-03127-0", 
          "https://app.dimensions.ai/details/publication/pub.1113378506"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-16T06:25", 
        "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/v90/0000000377_0000000377/records_106837_00000003.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007/s00425-019-03127-0"
      }
    ]
     

    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/s00425-019-03127-0'

    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/s00425-019-03127-0'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00425-019-03127-0'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00425-019-03127-0'


     

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

    164 TRIPLES      20 PREDICATES      50 URIs      16 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00425-019-03127-0 schema:about anzsrc-for:06
    2 anzsrc-for:0604
    3 schema:author Nb5fdf89504874cc983a151a19e668377
    4 schema:citation sg:pub.10.1007/978-1-4939-8657-6_12
    5 sg:pub.10.1007/bf02772687
    6 sg:pub.10.1007/s00425-015-2347-8
    7 sg:pub.10.1007/s00425-018-2927-5
    8 sg:pub.10.1007/s10265-010-0319-4
    9 sg:pub.10.1007/s12033-014-9824-3
    10 sg:pub.10.1007/s40502-017-0334-8
    11 sg:pub.10.1038/ng.3886
    12 sg:pub.10.1038/nprot.2006.85
    13 sg:pub.10.1038/srep21577
    14 sg:pub.10.1186/1471-2229-10-106
    15 sg:pub.10.1186/s13007-018-0275-x
    16 https://doi.org/10.1002/0471142727.mb25a03s87
    17 https://doi.org/10.1016/j.cell.2009.06.031
    18 https://doi.org/10.1080/17429140902770396
    19 https://doi.org/10.1093/jxb/erv061
    20 https://doi.org/10.1104/pp.102.018127
    21 https://doi.org/10.1104/pp.17.01483
    22 https://doi.org/10.1105/tpc.008102
    23 https://doi.org/10.1105/tpc.112.099614
    24 https://doi.org/10.1111/j.1365-313x.2007.03244.x
    25 https://doi.org/10.1111/tpj.13908
    26 https://doi.org/10.1111/tpj.14084
    27 https://doi.org/10.1242/dev.075390
    28 https://doi.org/10.21769/bioprotoc.835
    29 https://doi.org/10.3389/fpls.2016.01965
    30 schema:datePublished 2019-04-11
    31 schema:datePublishedReg 2019-04-11
    32 schema:description MAIN CONCLUSION: Isolation of high-quality RNA, including miRNA, from microscopic woody apple bud meristem using laser capture microdissection-based method. It is often challenging to study the expression of microRNAs (miRNAs) or genes in less accessible inner tissues of tree species rich in polyphenols or polysaccharides. Here, we report a laser capture microdissection (LCM)-based method for efficient and cost-effective isolation and expression analysis of miRNAs and genes in the meristem tissue of woody apple bud. The tissue fixation, processing, infiltration, and sectioning steps were optimized for LCM-based excision and subsequent RNA isolation. Further, we have confirmed that RNA isolated from LCM-derived apple bud meristem contained miRNAs and was of good quantity and quality, sufficient for downstream expression analysis.
    33 schema:genre research_article
    34 schema:inLanguage en
    35 schema:isAccessibleForFree false
    36 schema:isPartOf sg:journal.1054035
    37 schema:name Improved laser capture microdissection (LCM)-based method for isolation of RNA, including miRNA and expression analysis in woody apple bud meristem.
    38 schema:productId N249c92a99747442b97e995a9630f6da0
    39 N27f80f7141964267b46613d5e17a963f
    40 N3188445e715e40dda1678db083f5afbc
    41 N84145e9e8b61431b8514ca9eeb7a1d65
    42 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113378506
    43 https://doi.org/10.1007/s00425-019-03127-0
    44 schema:sdDatePublished 2019-04-16T06:25
    45 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    46 schema:sdPublisher Nbb7e700bb8e846ed87725ffd022f59f1
    47 schema:url http://link.springer.com/10.1007/s00425-019-03127-0
    48 sgo:license sg:explorer/license/
    49 sgo:sdDataset articles
    50 rdf:type schema:ScholarlyArticle
    51 N00391d14d64f47169dd39344e4d58470 schema:affiliation https://www.grid.ac/institutes/grid.419632.b
    52 schema:familyName Verma
    53 schema:givenName Swati
    54 rdf:type schema:Person
    55 N249c92a99747442b97e995a9630f6da0 schema:name doi
    56 schema:value 10.1007/s00425-019-03127-0
    57 rdf:type schema:PropertyValue
    58 N24d1b18d724e4d6d907a1e4e1630b28e rdf:first N406a81a90cc94bc9a3d55ce16309e107
    59 rdf:rest N823ac9821da549d0bda1997f2da71855
    60 N27f80f7141964267b46613d5e17a963f schema:name dimensions_id
    61 schema:value pub.1113378506
    62 rdf:type schema:PropertyValue
    63 N3188445e715e40dda1678db083f5afbc schema:name nlm_unique_id
    64 schema:value 1250576
    65 rdf:type schema:PropertyValue
    66 N406a81a90cc94bc9a3d55ce16309e107 schema:affiliation https://www.grid.ac/institutes/grid.463154.1
    67 schema:familyName Gautam
    68 schema:givenName Vibhav
    69 rdf:type schema:Person
    70 N823ac9821da549d0bda1997f2da71855 rdf:first Na5b2fd34efac4bc798d08f906c91c2b9
    71 rdf:rest rdf:nil
    72 N84145e9e8b61431b8514ca9eeb7a1d65 schema:name pubmed_id
    73 schema:value 30976910
    74 rdf:type schema:PropertyValue
    75 Na5b2fd34efac4bc798d08f906c91c2b9 schema:affiliation https://www.grid.ac/institutes/grid.419632.b
    76 schema:familyName Sarkar
    77 schema:givenName Ananda K
    78 rdf:type schema:Person
    79 Nb5fdf89504874cc983a151a19e668377 rdf:first N00391d14d64f47169dd39344e4d58470
    80 rdf:rest N24d1b18d724e4d6d907a1e4e1630b28e
    81 Nbb7e700bb8e846ed87725ffd022f59f1 schema:name Springer Nature - SN SciGraph project
    82 rdf:type schema:Organization
    83 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    84 schema:name Biological Sciences
    85 rdf:type schema:DefinedTerm
    86 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    87 schema:name Genetics
    88 rdf:type schema:DefinedTerm
    89 sg:journal.1054035 schema:issn 0032-0935
    90 1432-2048
    91 schema:name Planta
    92 rdf:type schema:Periodical
    93 sg:pub.10.1007/978-1-4939-8657-6_12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105812187
    94 https://doi.org/10.1007/978-1-4939-8657-6_12
    95 rdf:type schema:CreativeWork
    96 sg:pub.10.1007/bf02772687 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005327104
    97 https://doi.org/10.1007/bf02772687
    98 rdf:type schema:CreativeWork
    99 sg:pub.10.1007/s00425-015-2347-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033701314
    100 https://doi.org/10.1007/s00425-015-2347-8
    101 rdf:type schema:CreativeWork
    102 sg:pub.10.1007/s00425-018-2927-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105270110
    103 https://doi.org/10.1007/s00425-018-2927-5
    104 rdf:type schema:CreativeWork
    105 sg:pub.10.1007/s10265-010-0319-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024396014
    106 https://doi.org/10.1007/s10265-010-0319-4
    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.10.1007/s40502-017-0334-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099919034
    112 https://doi.org/10.1007/s40502-017-0334-8
    113 rdf:type schema:CreativeWork
    114 sg:pub.10.1038/ng.3886 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085864660
    115 https://doi.org/10.1038/ng.3886
    116 rdf:type schema:CreativeWork
    117 sg:pub.10.1038/nprot.2006.85 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012789273
    118 https://doi.org/10.1038/nprot.2006.85
    119 rdf:type schema:CreativeWork
    120 sg:pub.10.1038/srep21577 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011750804
    121 https://doi.org/10.1038/srep21577
    122 rdf:type schema:CreativeWork
    123 sg:pub.10.1186/1471-2229-10-106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028101567
    124 https://doi.org/10.1186/1471-2229-10-106
    125 rdf:type schema:CreativeWork
    126 sg:pub.10.1186/s13007-018-0275-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1100801003
    127 https://doi.org/10.1186/s13007-018-0275-x
    128 rdf:type schema:CreativeWork
    129 https://doi.org/10.1002/0471142727.mb25a03s87 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007632908
    130 rdf:type schema:CreativeWork
    131 https://doi.org/10.1016/j.cell.2009.06.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049797711
    132 rdf:type schema:CreativeWork
    133 https://doi.org/10.1080/17429140902770396 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018890797
    134 rdf:type schema:CreativeWork
    135 https://doi.org/10.1093/jxb/erv061 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048160212
    136 rdf:type schema:CreativeWork
    137 https://doi.org/10.1104/pp.102.018127 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050664261
    138 rdf:type schema:CreativeWork
    139 https://doi.org/10.1104/pp.17.01483 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093074365
    140 rdf:type schema:CreativeWork
    141 https://doi.org/10.1105/tpc.008102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020174549
    142 rdf:type schema:CreativeWork
    143 https://doi.org/10.1105/tpc.112.099614 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012449268
    144 rdf:type schema:CreativeWork
    145 https://doi.org/10.1111/j.1365-313x.2007.03244.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1028076986
    146 rdf:type schema:CreativeWork
    147 https://doi.org/10.1111/tpj.13908 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101729327
    148 rdf:type schema:CreativeWork
    149 https://doi.org/10.1111/tpj.14084 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106879856
    150 rdf:type schema:CreativeWork
    151 https://doi.org/10.1242/dev.075390 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014894418
    152 rdf:type schema:CreativeWork
    153 https://doi.org/10.21769/bioprotoc.835 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069252352
    154 rdf:type schema:CreativeWork
    155 https://doi.org/10.3389/fpls.2016.01965 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032777921
    156 rdf:type schema:CreativeWork
    157 https://www.grid.ac/institutes/grid.419632.b schema:alternateName National Institute of Plant Genome Research
    158 schema:name National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi, 110067, India.
    159 National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi, 110067, India. aksarkar@nipgr.ac.in.
    160 rdf:type schema:Organization
    161 https://www.grid.ac/institutes/grid.463154.1 schema:alternateName Institute of Medical Sciences
    162 schema:name Centre of Experimental Medicine and Surgery, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, India.
    163 National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi, 110067, India.
    164 rdf:type schema:Organization
     




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


    ...