Use of RNAlater in fluorescence-activated cell sorting (FACS) reduces the fluorescence from GFP but not from DsRed View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2010-12

AUTHORS

Ismail Zaitoun, Christopher S Erickson, Kathy Schell, Miles L Epstein

ABSTRACT

BACKGROUND: Flow cytometry utilizes signals from fluorescent markers to separate targeted cell populations for gene expression studies. However, the stress of the FACS process could change normal gene expression profiles. RNAlater could be used to stop such changes in original gene expression profiles through its ability to denature RNase and other proteins. The normal conformational structure of fluorescent proteins must be maintained in order to fluoresce. Whether or not RNAlater would affect signals from different types of intrinsic fluorescent proteins is crucial to its use in flow cytometry; this question has not been investigated in detail. FINDINGS: To address this question, we analyzed the effect of RNAlater on fluorescence intensity of GFP, YFP, DsRed and small fluorescent molecules attached to secondary antibodies (Cy2 and Texas-Red) when used in flow cytometry. FACS results were confirmed with fluorescence microscopy. Our results showed that exposure of YFP and GFP containing cells to RNAlater reduces the intensity of their fluorescence to such an extent that separation of such labeled cells is difficult if not impossible. In contrast, signals from DsRed2, Cy2 and Texas-Red were not affected by RNAlater treatment. In addition, the background fluorescence and clumping of dissociated cells are altered by RNAlater treatment. CONCLUSIONS: When considering gene expression studies using cell sorting with RNAlater, DsRed is the fluorescent protein of choice while GFP/YFP have severe limitations because of their reduced fluorescence. It is necessary to examine the effects of RNAlater on signals from fluorescent markers and the physical properties (e.g., clumping) of the cells before considering its use in cell sorting. More... »

PAGES

328

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1756-0500-3-328

DOI

http://dx.doi.org/10.1186/1756-0500-3-328

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1014643504

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/21134271


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": "University of Wisconsin\u2013Madison", 
          "id": "https://www.grid.ac/institutes/grid.14003.36", 
          "name": [
            "Department of Anatomy, University of Wisconsin School of Medicine and Public Health, 1300 University Avenue, 53706, Madison, WI, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zaitoun", 
        "givenName": "Ismail", 
        "id": "sg:person.01206740477.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01206740477.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Wisconsin\u2013Madison", 
          "id": "https://www.grid.ac/institutes/grid.14003.36", 
          "name": [
            "Department of Anatomy, University of Wisconsin School of Medicine and Public Health, 1300 University Avenue, 53706, Madison, WI, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Erickson", 
        "givenName": "Christopher S", 
        "id": "sg:person.011770532657.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011770532657.73"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "UW Carbone Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.412639.b", 
          "name": [
            "Flow Cytometry Facility, Paul P. Carbone Comprehensive Cancer Center, 1111 Highland Ave., 53706, Madison, WI, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schell", 
        "givenName": "Kathy", 
        "id": "sg:person.01165656177.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165656177.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Wisconsin\u2013Madison", 
          "id": "https://www.grid.ac/institutes/grid.14003.36", 
          "name": [
            "Department of Anatomy, University of Wisconsin School of Medicine and Public Health, 1300 University Avenue, 53706, Madison, WI, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Epstein", 
        "givenName": "Miles L", 
        "id": "sg:person.0600066237.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600066237.13"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1021/cr010142r", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003852704"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/cr010142r", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003852704"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bit.10387", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003921055"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0014-5793(01)03263-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006741311"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5012/bkcs.2005.26.3.413", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008634544"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0969-2126(98)00127-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008820900"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0320(19990601)36:2<102::aid-cyto3>3.0.co;2-d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009378290"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijbiomac.2009.05.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011880472"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.98.2.462", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011948754"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi0472907", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012717221"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi0472907", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012717221"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/dvg.20415", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019161234"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-5-88", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023554877", 
          "https://doi.org/10.1186/1471-2164-5-88"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0005-2744(74)90240-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026603749"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0005-2744(74)90240-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026603749"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bit.21762", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028782952"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt1096-1246", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029901830", 
          "https://doi.org/10.1038/nbt1096-1246"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1071/rd9961165", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037611036"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m604192200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037667731"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bit.21476", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039993972"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt943", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043627634", 
          "https://doi.org/10.1038/nbt943"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt943", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043627634", 
          "https://doi.org/10.1038/nbt943"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0014-5793(00)02344-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046845139"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1242/jcs.03476", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047763985"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/20.11.2902", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053216897"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi034555t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055197287"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi034555t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055197287"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi048733+", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055199324"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi048733+", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055199324"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.273.5280.1392", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062554061"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/stke.2002.119.pe6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062690792"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2144/02324rr06", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1075036257"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2144/03343bm05", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1075259077"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010-12", 
    "datePublishedReg": "2010-12-01", 
    "description": "BACKGROUND: Flow cytometry utilizes signals from fluorescent markers to separate targeted cell populations for gene expression studies. However, the stress of the FACS process could change normal gene expression profiles. RNAlater could be used to stop such changes in original gene expression profiles through its ability to denature RNase and other proteins. The normal conformational structure of fluorescent proteins must be maintained in order to fluoresce. Whether or not RNAlater would affect signals from different types of intrinsic fluorescent proteins is crucial to its use in flow cytometry; this question has not been investigated in detail.\nFINDINGS: To address this question, we analyzed the effect of RNAlater on fluorescence intensity of GFP, YFP, DsRed and small fluorescent molecules attached to secondary antibodies (Cy2 and Texas-Red) when used in flow cytometry. FACS results were confirmed with fluorescence microscopy. Our results showed that exposure of YFP and GFP containing cells to RNAlater reduces the intensity of their fluorescence to such an extent that separation of such labeled cells is difficult if not impossible. In contrast, signals from DsRed2, Cy2 and Texas-Red were not affected by RNAlater treatment. In addition, the background fluorescence and clumping of dissociated cells are altered by RNAlater treatment.\nCONCLUSIONS: When considering gene expression studies using cell sorting with RNAlater, DsRed is the fluorescent protein of choice while GFP/YFP have severe limitations because of their reduced fluorescence. It is necessary to examine the effects of RNAlater on signals from fluorescent markers and the physical properties (e.g., clumping) of the cells before considering its use in cell sorting.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1756-0500-3-328", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2499683", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2438809", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1039457", 
        "issn": [
          "1756-0500"
        ], 
        "name": "BMC Research Notes", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "3"
      }
    ], 
    "name": "Use of RNAlater in fluorescence-activated cell sorting (FACS) reduces the fluorescence from GFP but not from DsRed", 
    "pagination": "328", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "45c34c0e5e9be13d72e51b32f835b664667827cad6355984a55cb838b4dfd0b4"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "21134271"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101462768"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1756-0500-3-328"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1014643504"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1756-0500-3-328", 
      "https://app.dimensions.ai/details/publication/pub.1014643504"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:57", 
    "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/v90/0000000347_0000000347/records_89807_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2F1756-0500-3-328"
  }
]
 

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.10.1186/1756-0500-3-328'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1756-0500-3-328'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1756-0500-3-328'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1756-0500-3-328'


 

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

180 TRIPLES      21 PREDICATES      56 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1756-0500-3-328 schema:about anzsrc-for:06
2 anzsrc-for:0601
3 schema:author Nc22576b84cba462c92b60928f37bc292
4 schema:citation sg:pub.10.1038/nbt1096-1246
5 sg:pub.10.1038/nbt943
6 sg:pub.10.1186/1471-2164-5-88
7 https://doi.org/10.1002/(sici)1097-0320(19990601)36:2<102::aid-cyto3>3.0.co;2-d
8 https://doi.org/10.1002/bit.10387
9 https://doi.org/10.1002/bit.21476
10 https://doi.org/10.1002/bit.21762
11 https://doi.org/10.1002/dvg.20415
12 https://doi.org/10.1016/0005-2744(74)90240-x
13 https://doi.org/10.1016/j.ijbiomac.2009.05.010
14 https://doi.org/10.1016/s0014-5793(00)02344-9
15 https://doi.org/10.1016/s0014-5793(01)03263-x
16 https://doi.org/10.1016/s0969-2126(98)00127-0
17 https://doi.org/10.1021/bi034555t
18 https://doi.org/10.1021/bi0472907
19 https://doi.org/10.1021/bi048733+
20 https://doi.org/10.1021/cr010142r
21 https://doi.org/10.1071/rd9961165
22 https://doi.org/10.1073/pnas.98.2.462
23 https://doi.org/10.1074/jbc.m604192200
24 https://doi.org/10.1093/nar/20.11.2902
25 https://doi.org/10.1126/science.273.5280.1392
26 https://doi.org/10.1126/stke.2002.119.pe6
27 https://doi.org/10.1242/jcs.03476
28 https://doi.org/10.2144/02324rr06
29 https://doi.org/10.2144/03343bm05
30 https://doi.org/10.5012/bkcs.2005.26.3.413
31 schema:datePublished 2010-12
32 schema:datePublishedReg 2010-12-01
33 schema:description BACKGROUND: Flow cytometry utilizes signals from fluorescent markers to separate targeted cell populations for gene expression studies. However, the stress of the FACS process could change normal gene expression profiles. RNAlater could be used to stop such changes in original gene expression profiles through its ability to denature RNase and other proteins. The normal conformational structure of fluorescent proteins must be maintained in order to fluoresce. Whether or not RNAlater would affect signals from different types of intrinsic fluorescent proteins is crucial to its use in flow cytometry; this question has not been investigated in detail. FINDINGS: To address this question, we analyzed the effect of RNAlater on fluorescence intensity of GFP, YFP, DsRed and small fluorescent molecules attached to secondary antibodies (Cy2 and Texas-Red) when used in flow cytometry. FACS results were confirmed with fluorescence microscopy. Our results showed that exposure of YFP and GFP containing cells to RNAlater reduces the intensity of their fluorescence to such an extent that separation of such labeled cells is difficult if not impossible. In contrast, signals from DsRed2, Cy2 and Texas-Red were not affected by RNAlater treatment. In addition, the background fluorescence and clumping of dissociated cells are altered by RNAlater treatment. CONCLUSIONS: When considering gene expression studies using cell sorting with RNAlater, DsRed is the fluorescent protein of choice while GFP/YFP have severe limitations because of their reduced fluorescence. It is necessary to examine the effects of RNAlater on signals from fluorescent markers and the physical properties (e.g., clumping) of the cells before considering its use in cell sorting.
34 schema:genre research_article
35 schema:inLanguage en
36 schema:isAccessibleForFree true
37 schema:isPartOf N0f51d57ad2174ec08ce717708017d534
38 Nca3443f2446846d39ef0bad3e315074c
39 sg:journal.1039457
40 schema:name Use of RNAlater in fluorescence-activated cell sorting (FACS) reduces the fluorescence from GFP but not from DsRed
41 schema:pagination 328
42 schema:productId N6b5d9edac98b4efd863faff03a73887d
43 N74d861be766940bebfc0bc0484a7b775
44 Nb531ee52e58a45079e92cde3c99a6b99
45 Ne72a5f691e48425597d1a836c38d68cc
46 Nfd078db1a7dc46479bff1507befcdfaa
47 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014643504
48 https://doi.org/10.1186/1756-0500-3-328
49 schema:sdDatePublished 2019-04-11T09:57
50 schema:sdLicense https://scigraph.springernature.com/explorer/license/
51 schema:sdPublisher Nd4f04a28a4d342108c8a8a964fd8e7d5
52 schema:url https://link.springer.com/10.1186%2F1756-0500-3-328
53 sgo:license sg:explorer/license/
54 sgo:sdDataset articles
55 rdf:type schema:ScholarlyArticle
56 N0f51d57ad2174ec08ce717708017d534 schema:volumeNumber 3
57 rdf:type schema:PublicationVolume
58 N446d59d28dfd4df7a85ae7b938c35ae6 rdf:first sg:person.011770532657.73
59 rdf:rest Ne7ab34911c114476867df9f0f1e34f8d
60 N4e2bee121d5d4bf1a86d85e1fa4ca541 rdf:first sg:person.0600066237.13
61 rdf:rest rdf:nil
62 N6b5d9edac98b4efd863faff03a73887d schema:name readcube_id
63 schema:value 45c34c0e5e9be13d72e51b32f835b664667827cad6355984a55cb838b4dfd0b4
64 rdf:type schema:PropertyValue
65 N74d861be766940bebfc0bc0484a7b775 schema:name doi
66 schema:value 10.1186/1756-0500-3-328
67 rdf:type schema:PropertyValue
68 Nb531ee52e58a45079e92cde3c99a6b99 schema:name nlm_unique_id
69 schema:value 101462768
70 rdf:type schema:PropertyValue
71 Nc22576b84cba462c92b60928f37bc292 rdf:first sg:person.01206740477.41
72 rdf:rest N446d59d28dfd4df7a85ae7b938c35ae6
73 Nca3443f2446846d39ef0bad3e315074c schema:issueNumber 1
74 rdf:type schema:PublicationIssue
75 Nd4f04a28a4d342108c8a8a964fd8e7d5 schema:name Springer Nature - SN SciGraph project
76 rdf:type schema:Organization
77 Ne72a5f691e48425597d1a836c38d68cc schema:name pubmed_id
78 schema:value 21134271
79 rdf:type schema:PropertyValue
80 Ne7ab34911c114476867df9f0f1e34f8d rdf:first sg:person.01165656177.37
81 rdf:rest N4e2bee121d5d4bf1a86d85e1fa4ca541
82 Nfd078db1a7dc46479bff1507befcdfaa schema:name dimensions_id
83 schema:value pub.1014643504
84 rdf:type schema:PropertyValue
85 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
86 schema:name Biological Sciences
87 rdf:type schema:DefinedTerm
88 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
89 schema:name Biochemistry and Cell Biology
90 rdf:type schema:DefinedTerm
91 sg:grant.2438809 http://pending.schema.org/fundedItem sg:pub.10.1186/1756-0500-3-328
92 rdf:type schema:MonetaryGrant
93 sg:grant.2499683 http://pending.schema.org/fundedItem sg:pub.10.1186/1756-0500-3-328
94 rdf:type schema:MonetaryGrant
95 sg:journal.1039457 schema:issn 1756-0500
96 schema:name BMC Research Notes
97 rdf:type schema:Periodical
98 sg:person.01165656177.37 schema:affiliation https://www.grid.ac/institutes/grid.412639.b
99 schema:familyName Schell
100 schema:givenName Kathy
101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165656177.37
102 rdf:type schema:Person
103 sg:person.011770532657.73 schema:affiliation https://www.grid.ac/institutes/grid.14003.36
104 schema:familyName Erickson
105 schema:givenName Christopher S
106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011770532657.73
107 rdf:type schema:Person
108 sg:person.01206740477.41 schema:affiliation https://www.grid.ac/institutes/grid.14003.36
109 schema:familyName Zaitoun
110 schema:givenName Ismail
111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01206740477.41
112 rdf:type schema:Person
113 sg:person.0600066237.13 schema:affiliation https://www.grid.ac/institutes/grid.14003.36
114 schema:familyName Epstein
115 schema:givenName Miles L
116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600066237.13
117 rdf:type schema:Person
118 sg:pub.10.1038/nbt1096-1246 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029901830
119 https://doi.org/10.1038/nbt1096-1246
120 rdf:type schema:CreativeWork
121 sg:pub.10.1038/nbt943 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043627634
122 https://doi.org/10.1038/nbt943
123 rdf:type schema:CreativeWork
124 sg:pub.10.1186/1471-2164-5-88 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023554877
125 https://doi.org/10.1186/1471-2164-5-88
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1002/(sici)1097-0320(19990601)36:2<102::aid-cyto3>3.0.co;2-d schema:sameAs https://app.dimensions.ai/details/publication/pub.1009378290
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1002/bit.10387 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003921055
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1002/bit.21476 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039993972
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1002/bit.21762 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028782952
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1002/dvg.20415 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019161234
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1016/0005-2744(74)90240-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1026603749
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1016/j.ijbiomac.2009.05.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011880472
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1016/s0014-5793(00)02344-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046845139
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1016/s0014-5793(01)03263-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1006741311
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1016/s0969-2126(98)00127-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008820900
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1021/bi034555t schema:sameAs https://app.dimensions.ai/details/publication/pub.1055197287
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1021/bi0472907 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012717221
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1021/bi048733+ schema:sameAs https://app.dimensions.ai/details/publication/pub.1055199324
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1021/cr010142r schema:sameAs https://app.dimensions.ai/details/publication/pub.1003852704
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1071/rd9961165 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037611036
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1073/pnas.98.2.462 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011948754
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1074/jbc.m604192200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037667731
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1093/nar/20.11.2902 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053216897
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1126/science.273.5280.1392 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062554061
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1126/stke.2002.119.pe6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062690792
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1242/jcs.03476 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047763985
168 rdf:type schema:CreativeWork
169 https://doi.org/10.2144/02324rr06 schema:sameAs https://app.dimensions.ai/details/publication/pub.1075036257
170 rdf:type schema:CreativeWork
171 https://doi.org/10.2144/03343bm05 schema:sameAs https://app.dimensions.ai/details/publication/pub.1075259077
172 rdf:type schema:CreativeWork
173 https://doi.org/10.5012/bkcs.2005.26.3.413 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008634544
174 rdf:type schema:CreativeWork
175 https://www.grid.ac/institutes/grid.14003.36 schema:alternateName University of Wisconsin–Madison
176 schema:name Department of Anatomy, University of Wisconsin School of Medicine and Public Health, 1300 University Avenue, 53706, Madison, WI, USA
177 rdf:type schema:Organization
178 https://www.grid.ac/institutes/grid.412639.b schema:alternateName UW Carbone Cancer Center
179 schema:name Flow Cytometry Facility, Paul P. Carbone Comprehensive Cancer Center, 1111 Highland Ave., 53706, Madison, WI, USA
180 rdf:type schema:Organization
 




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


...