In Vivo Flow Cytometry of Extremely Rare Circulating Cells View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Xuefei Tan, Roshani Patil, Peter Bartosik, Judith M. Runnels, Charles P. Lin, Mark Niedre

ABSTRACT

Circulating tumor cells (CTCs) are of great interest in cancer research, but methods for their enumeration remain far from optimal. We developed a new small animal research tool called "Diffuse in vivo Flow Cytometry" (DiFC) for detecting extremely rare fluorescently-labeled circulating cells directly in the bloodstream. The technique exploits near-infrared diffuse photons to detect and count cells flowing in large superficial arteries and veins without drawing blood samples. DiFC uses custom-designed, dual fiber optic probes that are placed in contact with the skin surface approximately above a major vascular bundle. In combination with a novel signal processing algorithm, DiFC allows counting of individual cells moving in arterial or venous directions, as well as measurement of their speed and depth. We show that DiFC allows sampling of the entire circulating blood volume of a mouse in under 10 minutes, while maintaining a false alarm rate of 0.014 per minute. In practice, this means that DiFC allows reliable detection of circulating cells below 1 cell per mL. Hence, the unique capabilities of DiFC are highly suited to biological applications involving very rare cell types such as the study of hematogenous cancer metastasis. More... »

PAGES

3366

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-019-40143-2

DOI

http://dx.doi.org/10.1038/s41598-019-40143-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112512098

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30833671


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/2008/1112", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oncology and Carcinogenesis", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Northeastern University", 
          "id": "https://www.grid.ac/institutes/grid.261112.7", 
          "name": [
            "Northeastern University, Department of Electrical and Computer Engineering, 02115, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tan", 
        "givenName": "Xuefei", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Northeastern University", 
          "id": "https://www.grid.ac/institutes/grid.261112.7", 
          "name": [
            "Northeastern University, Department of Bioengineering, 02115, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Patil", 
        "givenName": "Roshani", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Northeastern University", 
          "id": "https://www.grid.ac/institutes/grid.261112.7", 
          "name": [
            "Northeastern University, Department of Bioengineering, 02115, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bartosik", 
        "givenName": "Peter", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Center for Systems Biology", 
          "id": "https://www.grid.ac/institutes/grid.483004.b", 
          "name": [
            "Center for Systems Biology and Wellman Center for Photomedicine, Massachusetts General Hospital and Harvard Medical School, 02114, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Runnels", 
        "givenName": "Judith M.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Center for Systems Biology", 
          "id": "https://www.grid.ac/institutes/grid.483004.b", 
          "name": [
            "Center for Systems Biology and Wellman Center for Photomedicine, Massachusetts General Hospital and Harvard Medical School, 02114, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lin", 
        "givenName": "Charles P.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Northeastern University", 
          "id": "https://www.grid.ac/institutes/grid.261112.7", 
          "name": [
            "Northeastern University, Department of Electrical and Computer Engineering, 02115, Boston, MA, USA", 
            "Northeastern University, Department of Bioengineering, 02115, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Niedre", 
        "givenName": "Mark", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0002-9440(10)63824-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000423382"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jmri.20025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001250418"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms9094", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002859498", 
          "https://doi.org/10.1038/ncomms9094"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg.2015.16", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008404084", 
          "https://doi.org/10.1038/nrg.2015.16"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1117/1.3520571", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008678298"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c4lc01246a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009252740"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1117/1.jbo.17.3.037001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010159669"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep21023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013089241", 
          "https://doi.org/10.1038/srep21023"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/ajpheart.00320.2011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014013831"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2010.28.2764", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016392106"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncponc1066", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016512262", 
          "https://doi.org/10.1038/ncponc1066"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/58/11/r37", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016548982"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3892/ijo.2012.1557", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022356564"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0158354", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026122910"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2010/426218", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036352173"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1117/1.3560624", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037263914"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0703875104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038787286"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cyto.a.21143", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041185634"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nm.2472", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041631967", 
          "https://doi.org/10.1038/nm.2472"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/dat.20565", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042633017"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7150/thno.5195", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044190048"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cyto.a.21125", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049574946"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-04-1058", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050252715"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-11-3733", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051716123"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hed.23439", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051791120"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1470-2045(14)70069-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052860888"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/57/14/4627", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059029301"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/ol.30.000628", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065222604"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1117/1.jbo.22.3.037004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084220292"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1361-6560/aa98f9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100450060"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1117/1.jbo.23.1.010504", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100666682"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1117/1.jbo.23.1.010504", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100666682"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "Circulating tumor cells (CTCs) are of great interest in cancer research, but methods for their enumeration remain far from optimal. We developed a new small animal research tool called \"Diffuse in vivo Flow Cytometry\" (DiFC) for detecting extremely rare fluorescently-labeled circulating cells directly in the bloodstream. The technique exploits near-infrared diffuse photons to detect and count cells flowing in large superficial arteries and veins without drawing blood samples. DiFC uses custom-designed, dual fiber optic probes that are placed in contact with the skin surface approximately above a major vascular bundle. In combination with a novel signal processing algorithm, DiFC allows counting of individual cells moving in arterial or venous directions, as well as measurement of their speed and depth. We show that DiFC allows sampling of the entire circulating blood volume of a mouse in under 10\u2009minutes, while maintaining a false alarm rate of 0.014 per minute. In practice, this means that DiFC allows reliable detection of circulating cells below 1 cell per mL. Hence, the unique capabilities of DiFC are highly suited to biological applications involving very rare cell types such as the study of hematogenous cancer metastasis.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-019-40143-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.4243027", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "9"
      }
    ], 
    "name": "In Vivo Flow Cytometry of Extremely Rare Circulating Cells", 
    "pagination": "3366", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "e72fe65590abd227a9fab300b3b8b695839695e8b0228b0ebcfd370b85cd616d"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30833671"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-019-40143-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112512098"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-019-40143-2", 
      "https://app.dimensions.ai/details/publication/pub.1112512098"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:16", 
    "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/v90/0000000354_0000000354/records_11691_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-019-40143-2"
  }
]
 

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.10.1038/s41598-019-40143-2'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40143-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40143-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40143-2'


 

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

201 TRIPLES      21 PREDICATES      60 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-019-40143-2 schema:about anzsrc-for:11
2 anzsrc-for:1112
3 schema:author Na9445c0218574f1d820b7eec13bfcaa9
4 schema:citation sg:pub.10.1038/ncomms9094
5 sg:pub.10.1038/ncponc1066
6 sg:pub.10.1038/nm.2472
7 sg:pub.10.1038/nrg.2015.16
8 sg:pub.10.1038/srep21023
9 https://doi.org/10.1002/cyto.a.21125
10 https://doi.org/10.1002/cyto.a.21143
11 https://doi.org/10.1002/dat.20565
12 https://doi.org/10.1002/hed.23439
13 https://doi.org/10.1002/jmri.20025
14 https://doi.org/10.1016/s0002-9440(10)63824-2
15 https://doi.org/10.1016/s1470-2045(14)70069-5
16 https://doi.org/10.1039/c4lc01246a
17 https://doi.org/10.1073/pnas.0703875104
18 https://doi.org/10.1088/0031-9155/57/14/4627
19 https://doi.org/10.1088/0031-9155/58/11/r37
20 https://doi.org/10.1088/1361-6560/aa98f9
21 https://doi.org/10.1117/1.3520571
22 https://doi.org/10.1117/1.3560624
23 https://doi.org/10.1117/1.jbo.17.3.037001
24 https://doi.org/10.1117/1.jbo.22.3.037004
25 https://doi.org/10.1117/1.jbo.23.1.010504
26 https://doi.org/10.1152/ajpheart.00320.2011
27 https://doi.org/10.1155/2010/426218
28 https://doi.org/10.1158/0008-5472.can-04-1058
29 https://doi.org/10.1158/0008-5472.can-11-3733
30 https://doi.org/10.1200/jco.2010.28.2764
31 https://doi.org/10.1364/ol.30.000628
32 https://doi.org/10.1371/journal.pone.0158354
33 https://doi.org/10.3892/ijo.2012.1557
34 https://doi.org/10.7150/thno.5195
35 schema:datePublished 2019-12
36 schema:datePublishedReg 2019-12-01
37 schema:description Circulating tumor cells (CTCs) are of great interest in cancer research, but methods for their enumeration remain far from optimal. We developed a new small animal research tool called "Diffuse in vivo Flow Cytometry" (DiFC) for detecting extremely rare fluorescently-labeled circulating cells directly in the bloodstream. The technique exploits near-infrared diffuse photons to detect and count cells flowing in large superficial arteries and veins without drawing blood samples. DiFC uses custom-designed, dual fiber optic probes that are placed in contact with the skin surface approximately above a major vascular bundle. In combination with a novel signal processing algorithm, DiFC allows counting of individual cells moving in arterial or venous directions, as well as measurement of their speed and depth. We show that DiFC allows sampling of the entire circulating blood volume of a mouse in under 10 minutes, while maintaining a false alarm rate of 0.014 per minute. In practice, this means that DiFC allows reliable detection of circulating cells below 1 cell per mL. Hence, the unique capabilities of DiFC are highly suited to biological applications involving very rare cell types such as the study of hematogenous cancer metastasis.
38 schema:genre research_article
39 schema:inLanguage en
40 schema:isAccessibleForFree true
41 schema:isPartOf N4a099386451e4333a1fe99828c2d9ab9
42 Nf61635f921c74953a2ec02e2d2e1cb5a
43 sg:journal.1045337
44 schema:name In Vivo Flow Cytometry of Extremely Rare Circulating Cells
45 schema:pagination 3366
46 schema:productId N7c1439b4ff854dab98938781aa7269c7
47 N7eb7528db2644fe29211f556a84312f0
48 N803fe0ce087e449d9327cb8f84219532
49 N9d3fbd456f2649b296cadf030224e850
50 Nea4be349df3246a885c881ca400840c2
51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112512098
52 https://doi.org/10.1038/s41598-019-40143-2
53 schema:sdDatePublished 2019-04-11T11:16
54 schema:sdLicense https://scigraph.springernature.com/explorer/license/
55 schema:sdPublisher N573f41f0d3b84dbea93936420fbc0aec
56 schema:url https://www.nature.com/articles/s41598-019-40143-2
57 sgo:license sg:explorer/license/
58 sgo:sdDataset articles
59 rdf:type schema:ScholarlyArticle
60 N25017787a5ff401aaaa6030fd0bbe065 rdf:first Nb7353f051ed84f60bb589586051d0290
61 rdf:rest Na52ec9fbbbe54a099698bd06fa563667
62 N4a099386451e4333a1fe99828c2d9ab9 schema:issueNumber 1
63 rdf:type schema:PublicationIssue
64 N573f41f0d3b84dbea93936420fbc0aec schema:name Springer Nature - SN SciGraph project
65 rdf:type schema:Organization
66 N6f4a595487204c62bf3d558b647d06f5 schema:affiliation https://www.grid.ac/institutes/grid.261112.7
67 schema:familyName Bartosik
68 schema:givenName Peter
69 rdf:type schema:Person
70 N709140b8466f409285fa79f488545018 rdf:first Ndba6fed694d64129a501dfae00b0c4a8
71 rdf:rest Ndc0995003ac84b489d9ca79137d63227
72 N7c1439b4ff854dab98938781aa7269c7 schema:name readcube_id
73 schema:value e72fe65590abd227a9fab300b3b8b695839695e8b0228b0ebcfd370b85cd616d
74 rdf:type schema:PropertyValue
75 N7eb7528db2644fe29211f556a84312f0 schema:name dimensions_id
76 schema:value pub.1112512098
77 rdf:type schema:PropertyValue
78 N7ee1aaa216cf49b8aac58579f117d105 rdf:first Na86538fbd71e4436bcdfdfc73ec2ee5f
79 rdf:rest rdf:nil
80 N803fe0ce087e449d9327cb8f84219532 schema:name pubmed_id
81 schema:value 30833671
82 rdf:type schema:PropertyValue
83 N85072284289b46289eb0326d1de1f19e schema:affiliation https://www.grid.ac/institutes/grid.261112.7
84 schema:familyName Tan
85 schema:givenName Xuefei
86 rdf:type schema:Person
87 N9d3fbd456f2649b296cadf030224e850 schema:name doi
88 schema:value 10.1038/s41598-019-40143-2
89 rdf:type schema:PropertyValue
90 Na52ec9fbbbe54a099698bd06fa563667 rdf:first Naa83589ba51a4c7cb4bab67e8024debf
91 rdf:rest N7ee1aaa216cf49b8aac58579f117d105
92 Na86538fbd71e4436bcdfdfc73ec2ee5f schema:affiliation https://www.grid.ac/institutes/grid.261112.7
93 schema:familyName Niedre
94 schema:givenName Mark
95 rdf:type schema:Person
96 Na9445c0218574f1d820b7eec13bfcaa9 rdf:first N85072284289b46289eb0326d1de1f19e
97 rdf:rest N709140b8466f409285fa79f488545018
98 Naa83589ba51a4c7cb4bab67e8024debf schema:affiliation https://www.grid.ac/institutes/grid.483004.b
99 schema:familyName Lin
100 schema:givenName Charles P.
101 rdf:type schema:Person
102 Nb7353f051ed84f60bb589586051d0290 schema:affiliation https://www.grid.ac/institutes/grid.483004.b
103 schema:familyName Runnels
104 schema:givenName Judith M.
105 rdf:type schema:Person
106 Ndba6fed694d64129a501dfae00b0c4a8 schema:affiliation https://www.grid.ac/institutes/grid.261112.7
107 schema:familyName Patil
108 schema:givenName Roshani
109 rdf:type schema:Person
110 Ndc0995003ac84b489d9ca79137d63227 rdf:first N6f4a595487204c62bf3d558b647d06f5
111 rdf:rest N25017787a5ff401aaaa6030fd0bbe065
112 Nea4be349df3246a885c881ca400840c2 schema:name nlm_unique_id
113 schema:value 101563288
114 rdf:type schema:PropertyValue
115 Nf61635f921c74953a2ec02e2d2e1cb5a schema:volumeNumber 9
116 rdf:type schema:PublicationVolume
117 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
118 schema:name Medical and Health Sciences
119 rdf:type schema:DefinedTerm
120 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
121 schema:name Oncology and Carcinogenesis
122 rdf:type schema:DefinedTerm
123 sg:grant.4243027 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-019-40143-2
124 rdf:type schema:MonetaryGrant
125 sg:journal.1045337 schema:issn 2045-2322
126 schema:name Scientific Reports
127 rdf:type schema:Periodical
128 sg:pub.10.1038/ncomms9094 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002859498
129 https://doi.org/10.1038/ncomms9094
130 rdf:type schema:CreativeWork
131 sg:pub.10.1038/ncponc1066 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016512262
132 https://doi.org/10.1038/ncponc1066
133 rdf:type schema:CreativeWork
134 sg:pub.10.1038/nm.2472 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041631967
135 https://doi.org/10.1038/nm.2472
136 rdf:type schema:CreativeWork
137 sg:pub.10.1038/nrg.2015.16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008404084
138 https://doi.org/10.1038/nrg.2015.16
139 rdf:type schema:CreativeWork
140 sg:pub.10.1038/srep21023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013089241
141 https://doi.org/10.1038/srep21023
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1002/cyto.a.21125 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049574946
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1002/cyto.a.21143 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041185634
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1002/dat.20565 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042633017
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1002/hed.23439 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051791120
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1002/jmri.20025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001250418
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1016/s0002-9440(10)63824-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000423382
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1016/s1470-2045(14)70069-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052860888
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1039/c4lc01246a schema:sameAs https://app.dimensions.ai/details/publication/pub.1009252740
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1073/pnas.0703875104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038787286
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1088/0031-9155/57/14/4627 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059029301
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1088/0031-9155/58/11/r37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016548982
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1088/1361-6560/aa98f9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100450060
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1117/1.3520571 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008678298
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1117/1.3560624 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037263914
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1117/1.jbo.17.3.037001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010159669
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1117/1.jbo.22.3.037004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084220292
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1117/1.jbo.23.1.010504 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100666682
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1152/ajpheart.00320.2011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014013831
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1155/2010/426218 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036352173
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1158/0008-5472.can-04-1058 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050252715
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1158/0008-5472.can-11-3733 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051716123
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1200/jco.2010.28.2764 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016392106
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1364/ol.30.000628 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065222604
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1371/journal.pone.0158354 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026122910
190 rdf:type schema:CreativeWork
191 https://doi.org/10.3892/ijo.2012.1557 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022356564
192 rdf:type schema:CreativeWork
193 https://doi.org/10.7150/thno.5195 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044190048
194 rdf:type schema:CreativeWork
195 https://www.grid.ac/institutes/grid.261112.7 schema:alternateName Northeastern University
196 schema:name Northeastern University, Department of Bioengineering, 02115, Boston, MA, USA
197 Northeastern University, Department of Electrical and Computer Engineering, 02115, Boston, MA, USA
198 rdf:type schema:Organization
199 https://www.grid.ac/institutes/grid.483004.b schema:alternateName Center for Systems Biology
200 schema:name Center for Systems Biology and Wellman Center for Photomedicine, Massachusetts General Hospital and Harvard Medical School, 02114, Boston, MA, USA
201 rdf:type schema:Organization
 




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


...