Step-by-Step Protocol for Superparamagnetic Nanoparticle-Based Plasma Membrane Isolation from Eukaryotic Cell. View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2019

AUTHORS

Deepak B Thimiri Govinda Raj , Niamat Ali Khan , Srisaran Venkatachalam , Dinh Toi Chu

ABSTRACT

Here, we elaborate our detailed protocol for synthesis, functionalization, and application of superparamagnetic nanoparticle (SPMNP) for plasma membrane and lysosome isolation. We used standard thermal decomposition-based synthesis of iron oxide (Fe3O4) core SPMNP 1.0. Using ligand addition methodology, we surface functionalized SPMNP 1.0 with phospholipids and generated phospholipid-SPMNP 2.0. Further we used NH2-phospholipid-SPMNP 2.0 to isolate plasma membrane. Using our SPMNP subcellular fractionation protocol, we are able to isolate high-pure-high-yield plasma membrane using NH2-phospholipid-SPMNP 2.0. As a future perspective, we propose to use SPMNP on clinical patient samples and perform mass spectrometry-based proteomics, lipidomics, and glycomics for early cancer diagnosis. More... »

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/7651_2019_211

DOI

http://dx.doi.org/10.1007/7651_2019_211

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112157128

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30771189


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/2008/0601", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biochemistry and Cell Biology", 
        "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": "Oslo University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.55325.34", 
          "name": [
            "Envirotransgene\u00ae Bio-solutions Global Chennai India and Institute of Cancer Research, Oslo University Hospital, Oslo, Norway. deepak.balaji@bitsaa.org."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Thimiri Govinda Raj", 
        "givenName": "Deepak B", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Laboratory of Lipid Metabolism and Cancer, Louvain, Belgium."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Khan", 
        "givenName": "Niamat Ali", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Anna University, Chennai", 
          "id": "https://www.grid.ac/institutes/grid.252262.3", 
          "name": [
            "Bannari Amman Institute of Technology, Sathyamangalam, TN, India."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Venkatachalam", 
        "givenName": "Srisaran", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hanoi Medical University", 
          "id": "https://www.grid.ac/institutes/grid.56046.31", 
          "name": [
            "Faculty of Biology, Hanoi National University of Education, Hanoi, Vietnam.", 
            "Institute for Research and Development, Duy Tan University, Danang, Vietnam.", 
            "School of Odonto Stomatology, Hanoi Medical University, Hanoi, Vietnam."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chu", 
        "givenName": "Dinh Toi", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1038/msb.2011.74", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000680459"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/msb.2011.74", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000680459"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s40580-016-0082-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005313892", 
          "https://doi.org/10.1186/s40580-016-0082-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s40580-016-0082-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005313892", 
          "https://doi.org/10.1186/s40580-016-0082-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1077194", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015841885"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja026501x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030318270"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja026501x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030318270"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1049/mnl.2017.0574", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092622048"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmmm.2017.12.070", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099721964"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmmm.2017.12.070", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099721964"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019", 
    "datePublishedReg": "2019-01-01", 
    "description": "Here, we elaborate our detailed protocol for synthesis, functionalization, and application of superparamagnetic nanoparticle (SPMNP) for plasma membrane and lysosome isolation. We used standard thermal decomposition-based synthesis of iron oxide (Fe3O4) core SPMNP 1.0. Using ligand addition methodology, we surface functionalized SPMNP 1.0 with phospholipids and generated phospholipid-SPMNP 2.0. Further we used NH2-phospholipid-SPMNP 2.0 to isolate plasma membrane. Using our SPMNP subcellular fractionation protocol, we are able to isolate high-pure-high-yield plasma membrane using NH2-phospholipid-SPMNP 2.0. As a future perspective, we propose to use SPMNP on clinical patient samples and perform mass spectrometry-based proteomics, lipidomics, and glycomics for early cancer diagnosis.", 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/7651_2019_211", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "name": "Step-by-Step Protocol for Superparamagnetic Nanoparticle-Based Plasma Membrane Isolation from Eukaryotic Cell.", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/7651_2019_211"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112157128"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30771189"
        ]
      }
    ], 
    "publisher": {
      "location": "Berlin, Heidelberg", 
      "name": "Springer Berlin Heidelberg", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/7651_2019_211", 
      "https://app.dimensions.ai/details/publication/pub.1112157128"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T05:13", 
    "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/v90/0000000337_0000000337/records_37561_00000000.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/7651_2019_211"
  }
]
 

Download the RDF metadata as:Ā  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.10.1007/7651_2019_211'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/7651_2019_211'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/7651_2019_211'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/7651_2019_211'


 

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

99 TRIPLES      20 PREDICATES      30 URIs      17 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/7651_2019_211 schema:about anzsrc-for:06
2 anzsrc-for:0601
3 schema:author Nd036aa8c76ec405b86471a4c54196aac
4 schema:citation sg:pub.10.1186/s40580-016-0082-x
5 https://doi.org/10.1016/j.jmmm.2017.12.070
6 https://doi.org/10.1021/ja026501x
7 https://doi.org/10.1038/msb.2011.74
8 https://doi.org/10.1049/mnl.2017.0574
9 https://doi.org/10.1126/science.1077194
10 schema:datePublished 2019
11 schema:datePublishedReg 2019-01-01
12 schema:description Here, we elaborate our detailed protocol for synthesis, functionalization, and application of superparamagnetic nanoparticle (SPMNP) for plasma membrane and lysosome isolation. We used standard thermal decomposition-based synthesis of iron oxide (Fe<sub>3</sub>O<sub>4</sub>) core SPMNP 1.0. Using ligand addition methodology, we surface functionalized SPMNP 1.0 with phospholipids and generated phospholipid-SPMNP 2.0. Further we used NH<sub>2</sub>-phospholipid-SPMNP 2.0 to isolate plasma membrane. Using our SPMNP subcellular fractionation protocol, we are able to isolate high-pure-high-yield plasma membrane using NH<sub>2</sub>-phospholipid-SPMNP 2.0. As a future perspective, we propose to use SPMNP on clinical patient samples and perform mass spectrometry-based proteomics, lipidomics, and glycomics for early cancer diagnosis.
13 schema:genre chapter
14 schema:inLanguage en
15 schema:isAccessibleForFree false
16 schema:name Step-by-Step Protocol for Superparamagnetic Nanoparticle-Based Plasma Membrane Isolation from Eukaryotic Cell.
17 schema:productId N8d7b72ae18c24799854271ca140c37b3
18 Na553a0ab148442cdaeb4e679ca743394
19 Nb79f5a3245564269aec01c55f1dc238c
20 schema:publisher Nc192d92369134f738080b2cd10b4fdb7
21 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112157128
22 https://doi.org/10.1007/7651_2019_211
23 schema:sdDatePublished 2019-04-16T05:13
24 schema:sdLicense https://scigraph.springernature.com/explorer/license/
25 schema:sdPublisher N80e6ec5cd7fb4d5fb947b5e6ac7dd24d
26 schema:url http://link.springer.com/10.1007/7651_2019_211
27 sgo:license sg:explorer/license/
28 sgo:sdDataset chapters
29 rdf:type schema:Chapter
30 N10bee1e2f619488b83d75596627a1fd7 schema:affiliation https://www.grid.ac/institutes/grid.56046.31
31 schema:familyName Chu
32 schema:givenName Dinh Toi
33 rdf:type schema:Person
34 N1dabe56ff38d40e18e403219d48c7026 schema:name Laboratory of Lipid Metabolism and Cancer, Louvain, Belgium.
35 rdf:type schema:Organization
36 N54127a364fdc412f8ef9e75857dd9f26 rdf:first N8507c300c2d0424cb67a803865e85408
37 rdf:rest Nc8d26865a9fc4ebdb46026390494bd77
38 N80e6ec5cd7fb4d5fb947b5e6ac7dd24d schema:name Springer Nature - SN SciGraph project
39 rdf:type schema:Organization
40 N8507c300c2d0424cb67a803865e85408 schema:affiliation https://www.grid.ac/institutes/grid.252262.3
41 schema:familyName Venkatachalam
42 schema:givenName Srisaran
43 rdf:type schema:Person
44 N8d7b72ae18c24799854271ca140c37b3 schema:name pubmed_id
45 schema:value 30771189
46 rdf:type schema:PropertyValue
47 Na553a0ab148442cdaeb4e679ca743394 schema:name doi
48 schema:value 10.1007/7651_2019_211
49 rdf:type schema:PropertyValue
50 Nb79f5a3245564269aec01c55f1dc238c schema:name dimensions_id
51 schema:value pub.1112157128
52 rdf:type schema:PropertyValue
53 Nbd566d21d64f4246b6ceaca805eaf374 rdf:first Ndc14139fed1f4f84ba37e5a8aa3aeb69
54 rdf:rest N54127a364fdc412f8ef9e75857dd9f26
55 Nc192d92369134f738080b2cd10b4fdb7 schema:location Berlin, Heidelberg
56 schema:name Springer Berlin Heidelberg
57 rdf:type schema:Organisation
58 Nc8d26865a9fc4ebdb46026390494bd77 rdf:first N10bee1e2f619488b83d75596627a1fd7
59 rdf:rest rdf:nil
60 Nd036aa8c76ec405b86471a4c54196aac rdf:first Ne6db0269e441424fb01ed387848d5c37
61 rdf:rest Nbd566d21d64f4246b6ceaca805eaf374
62 Ndc14139fed1f4f84ba37e5a8aa3aeb69 schema:affiliation N1dabe56ff38d40e18e403219d48c7026
63 schema:familyName Khan
64 schema:givenName Niamat Ali
65 rdf:type schema:Person
66 Ne6db0269e441424fb01ed387848d5c37 schema:affiliation https://www.grid.ac/institutes/grid.55325.34
67 schema:familyName Thimiri Govinda Raj
68 schema:givenName Deepak B
69 rdf:type schema:Person
70 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
71 schema:name Biological Sciences
72 rdf:type schema:DefinedTerm
73 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
74 schema:name Biochemistry and Cell Biology
75 rdf:type schema:DefinedTerm
76 sg:pub.10.1186/s40580-016-0082-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1005313892
77 https://doi.org/10.1186/s40580-016-0082-x
78 rdf:type schema:CreativeWork
79 https://doi.org/10.1016/j.jmmm.2017.12.070 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099721964
80 rdf:type schema:CreativeWork
81 https://doi.org/10.1021/ja026501x schema:sameAs https://app.dimensions.ai/details/publication/pub.1030318270
82 rdf:type schema:CreativeWork
83 https://doi.org/10.1038/msb.2011.74 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000680459
84 rdf:type schema:CreativeWork
85 https://doi.org/10.1049/mnl.2017.0574 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092622048
86 rdf:type schema:CreativeWork
87 https://doi.org/10.1126/science.1077194 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015841885
88 rdf:type schema:CreativeWork
89 https://www.grid.ac/institutes/grid.252262.3 schema:alternateName Anna University, Chennai
90 schema:name Bannari Amman Institute of Technology, Sathyamangalam, TN, India.
91 rdf:type schema:Organization
92 https://www.grid.ac/institutes/grid.55325.34 schema:alternateName Oslo University Hospital
93 schema:name EnvirotransgeneĀ® Bio-solutions Global Chennai India and Institute of Cancer Research, Oslo University Hospital, Oslo, Norway. deepak.balaji@bitsaa.org.
94 rdf:type schema:Organization
95 https://www.grid.ac/institutes/grid.56046.31 schema:alternateName Hanoi Medical University
96 schema:name Faculty of Biology, Hanoi National University of Education, Hanoi, Vietnam.
97 Institute for Research and Development, Duy Tan University, Danang, Vietnam.
98 School of Odonto Stomatology, Hanoi Medical University, Hanoi, Vietnam.
99 rdf:type schema:Organization
 




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


...