Optimized orbitrap HCD for quantitative analysis of phosphopeptides View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2009-08

AUTHORS

Yi Zhang, Scott B. Ficarro, Shaojuan Li, Jarrod A. Marto

ABSTRACT

Despite the tremendous commercial success of radio frequency quadrupole ion traps for bottom-up proteomics studies, there is growing evidence that peptides decorated with labile post-translational modifications are less amenable to low-energy, resonate excitation MS/MS analysis. Moreover, multiplexed stable isotope reagents designed for MS/MS-based quantification of peptides rely on accurate and robust detection of low-mass fragments for all precursors. Collectively these observations suggest that beam-type or tandem in-space MS/MS measurements, such as that available on traditional triple quadrupole mass spectrometers, may provide beneficial figures of merit for quantitative proteomics analyses. The recent introduction of a multipole collision cell adjacent to an Orbitrap mass analyzer provides for higher energy collisionally activated dissociation (HCD) with efficient capture of fragment ions over a wide mass range. Here we describe optimization of various instrument and post-acquisition parameters that collectively provide for quantification of iTRAQ-labeled phosphorylated peptides isolated from complex cell lysates. Peptides spanning a concentration dynamic range of 100:1 are readily quantified. Our results indicate that appropriate parameterization of collision energy as a function of precursor m/z and z provides for optimal performance in terms of peptide identification and relative quantification by iTRAQ. Using this approach, we readily identify activated signaling pathways downstream of oncogenic mutants of Flt-3 kinase in a model system of human myeloid leukemia. More... »

PAGES

1425-1434

References to SciGraph publications

  • 2007-09. Higher-energy C-trap dissociation for peptide modification analysis in NATURE METHODS
  • 2002-06. A two-dimensional quadrupole ion trap mass spectrometer in JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY
  • 1991-05. High resolution on a quadrupole ion trap mass spectrometer in JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY
  • 2002-03. Fragmentation of phosphopeptides by atmospheric pressure MALDI and ESI/ion trap mass spectrometry in JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY
  • 2007-06. Signalling through TEC kinases regulates conventional versus innate CD8+ T-cell development in NATURE REVIEWS IMMUNOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1016/j.jasms.2009.03.019

    DOI

    http://dx.doi.org/10.1016/j.jasms.2009.03.019

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1030318406

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/19403316


    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/2008/0301", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Analytical Chemistry", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/03", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Chemical Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Algorithms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Phosphopeptides", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Reproducibility of Results", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Sensitivity and Specificity", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Spectrometry, Mass, Electrospray Ionization", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "name": [
                "Department of Cancer Biology and Blais Proteomics Center, Dana-Farber Cancer Institute, Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhang", 
            "givenName": "Yi", 
            "id": "sg:person.015533713660.59", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015533713660.59"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Department of Cancer Biology and Blais Proteomics Center, Dana-Farber Cancer Institute, Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ficarro", 
            "givenName": "Scott B.", 
            "id": "sg:person.01250106705.36", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01250106705.36"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Department of Cancer Biology and Blais Proteomics Center, Dana-Farber Cancer Institute, Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Li", 
            "givenName": "Shaojuan", 
            "id": "sg:person.01172462272.40", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01172462272.40"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Department of Cancer Biology and Blais Proteomics Center, Dana-Farber Cancer Institute, Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Marto", 
            "givenName": "Jarrod A.", 
            "id": "sg:person.0652011540.65", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0652011540.65"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1021/pr0503073", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000508826"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/rcm.1020", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005626481"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/bms.1200080909", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007268108"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/bms.1200080909", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007268108"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0167-7799(02)01944-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008595125"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/(sici)1097-0231(19960610)10:8<889::aid-rcm615>3.0.co;2-f", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014437270"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-2141.2007.06700.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015578242"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1016/1044-0305(91)80044-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022669961", 
              "https://doi.org/10.1016/1044-0305(91)80044-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1016/1044-0305(91)80044-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022669961", 
              "https://doi.org/10.1016/1044-0305(91)80044-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0168-9525(97)01223-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022738563"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0403471101", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025109712"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1182/blood-2004-08-3271", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025992210"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1016/s1044-0305(02)00384-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027581145", 
              "https://doi.org/10.1016/s1044-0305(02)00384-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0168-1176(84)80077-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029050799"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/rcm.1290030706", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033201158"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/rcm.1290030706", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033201158"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1074/mcp.m800029-mcp200", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038596672"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1084/jem.20042101", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038642059"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth1060", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043866234", 
              "https://doi.org/10.1038/nmeth1060"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/02648725.1996.10647923", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046691580"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0168-1176(89)85010-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050436166"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nri2091", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050596236", 
              "https://doi.org/10.1038/nri2091"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1016/s1044-0305(01)00361-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050935543", 
              "https://doi.org/10.1016/s1044-0305(01)00361-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1074/mcp.m400129-mcp200", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051297362"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1515/bc.1999.152", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052594985"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ac00004a015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1054965376"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ac00212a016", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1054980897"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ac800564h", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055069972"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ac800564h", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055069972"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ac991131p", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055077462"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ac991131p", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055077462"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/pr0499794", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1056290639"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/pr0602803", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1056291151"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/pr0705136", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1056291759"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2009-08", 
        "datePublishedReg": "2009-08-01", 
        "description": "Despite the tremendous commercial success of radio frequency quadrupole ion traps for bottom-up proteomics studies, there is growing evidence that peptides decorated with labile post-translational modifications are less amenable to low-energy, resonate excitation MS/MS analysis. Moreover, multiplexed stable isotope reagents designed for MS/MS-based quantification of peptides rely on accurate and robust detection of low-mass fragments for all precursors. Collectively these observations suggest that beam-type or tandem in-space MS/MS measurements, such as that available on traditional triple quadrupole mass spectrometers, may provide beneficial figures of merit for quantitative proteomics analyses. The recent introduction of a multipole collision cell adjacent to an Orbitrap mass analyzer provides for higher energy collisionally activated dissociation (HCD) with efficient capture of fragment ions over a wide mass range. Here we describe optimization of various instrument and post-acquisition parameters that collectively provide for quantification of iTRAQ-labeled phosphorylated peptides isolated from complex cell lysates. Peptides spanning a concentration dynamic range of 100:1 are readily quantified. Our results indicate that appropriate parameterization of collision energy as a function of precursor m/z and z provides for optimal performance in terms of peptide identification and relative quantification by iTRAQ. Using this approach, we readily identify activated signaling pathways downstream of oncogenic mutants of Flt-3 kinase in a model system of human myeloid leukemia.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1016/j.jasms.2009.03.019", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1100508", 
            "issn": [
              "1044-0305", 
              "1879-1123"
            ], 
            "name": "Journal of The American Society for Mass Spectrometry", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "8", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "20"
          }
        ], 
        "name": "Optimized orbitrap HCD for quantitative analysis of phosphopeptides", 
        "pagination": "1425-1434", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "906e156d1451ccb446ef17c7c3fe8910cf804aaddf55594de928e65958dd0c3e"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "19403316"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "9010412"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1016/j.jasms.2009.03.019"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1030318406"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1016/j.jasms.2009.03.019", 
          "https://app.dimensions.ai/details/publication/pub.1030318406"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T01:04", 
        "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/v90/0000000001_0000000264/records_8697_00000500.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1016/j.jasms.2009.03.019"
      }
    ]
     

    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.10.1016/j.jasms.2009.03.019'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1016/j.jasms.2009.03.019'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1016/j.jasms.2009.03.019'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1016/j.jasms.2009.03.019'


     

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

    207 TRIPLES      21 PREDICATES      63 URIs      26 LITERALS      14 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1016/j.jasms.2009.03.019 schema:about N0026f4a4a83e4647878c574a35bf9c92
    2 N1747b8e16581485181b3837735ab48d8
    3 Nc5eb6319d03e4c67923d99e735e3f4d1
    4 Ne0ef0997f75749fea7956f40b6f4236b
    5 Nf77d87ee6abc4cf28e3070ef174a57c2
    6 anzsrc-for:03
    7 anzsrc-for:0301
    8 schema:author N3fc7e6b1e7eb451ca7789e45efaba672
    9 schema:citation sg:pub.10.1016/1044-0305(91)80044-8
    10 sg:pub.10.1016/s1044-0305(01)00361-0
    11 sg:pub.10.1016/s1044-0305(02)00384-7
    12 sg:pub.10.1038/nmeth1060
    13 sg:pub.10.1038/nri2091
    14 https://doi.org/10.1002/(sici)1097-0231(19960610)10:8<889::aid-rcm615>3.0.co;2-f
    15 https://doi.org/10.1002/bms.1200080909
    16 https://doi.org/10.1002/rcm.1020
    17 https://doi.org/10.1002/rcm.1290030706
    18 https://doi.org/10.1016/0168-1176(84)80077-4
    19 https://doi.org/10.1016/0168-1176(89)85010-4
    20 https://doi.org/10.1016/s0167-7799(02)01944-3
    21 https://doi.org/10.1016/s0168-9525(97)01223-7
    22 https://doi.org/10.1021/ac00004a015
    23 https://doi.org/10.1021/ac00212a016
    24 https://doi.org/10.1021/ac800564h
    25 https://doi.org/10.1021/ac991131p
    26 https://doi.org/10.1021/pr0499794
    27 https://doi.org/10.1021/pr0503073
    28 https://doi.org/10.1021/pr0602803
    29 https://doi.org/10.1021/pr0705136
    30 https://doi.org/10.1073/pnas.0403471101
    31 https://doi.org/10.1074/mcp.m400129-mcp200
    32 https://doi.org/10.1074/mcp.m800029-mcp200
    33 https://doi.org/10.1080/02648725.1996.10647923
    34 https://doi.org/10.1084/jem.20042101
    35 https://doi.org/10.1111/j.1365-2141.2007.06700.x
    36 https://doi.org/10.1182/blood-2004-08-3271
    37 https://doi.org/10.1515/bc.1999.152
    38 schema:datePublished 2009-08
    39 schema:datePublishedReg 2009-08-01
    40 schema:description Despite the tremendous commercial success of radio frequency quadrupole ion traps for bottom-up proteomics studies, there is growing evidence that peptides decorated with labile post-translational modifications are less amenable to low-energy, resonate excitation MS/MS analysis. Moreover, multiplexed stable isotope reagents designed for MS/MS-based quantification of peptides rely on accurate and robust detection of low-mass fragments for all precursors. Collectively these observations suggest that beam-type or tandem in-space MS/MS measurements, such as that available on traditional triple quadrupole mass spectrometers, may provide beneficial figures of merit for quantitative proteomics analyses. The recent introduction of a multipole collision cell adjacent to an Orbitrap mass analyzer provides for higher energy collisionally activated dissociation (HCD) with efficient capture of fragment ions over a wide mass range. Here we describe optimization of various instrument and post-acquisition parameters that collectively provide for quantification of iTRAQ-labeled phosphorylated peptides isolated from complex cell lysates. Peptides spanning a concentration dynamic range of 100:1 are readily quantified. Our results indicate that appropriate parameterization of collision energy as a function of precursor m/z and z provides for optimal performance in terms of peptide identification and relative quantification by iTRAQ. Using this approach, we readily identify activated signaling pathways downstream of oncogenic mutants of Flt-3 kinase in a model system of human myeloid leukemia.
    41 schema:genre research_article
    42 schema:inLanguage en
    43 schema:isAccessibleForFree true
    44 schema:isPartOf N5753cc32c30f40aabbe3f0db28328243
    45 Nb0d21283163e44fa93810ce6a4f3d2c8
    46 sg:journal.1100508
    47 schema:name Optimized orbitrap HCD for quantitative analysis of phosphopeptides
    48 schema:pagination 1425-1434
    49 schema:productId N36a3b807be1b429393788d7fad63084e
    50 N68457e4ea130492b8031a6876ed6b15d
    51 N81aab9b10d9d48448e298f93975f732c
    52 Na984328611b3492ca7219041d1d61948
    53 Nff967dee91db400789963aec9e0b8196
    54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030318406
    55 https://doi.org/10.1016/j.jasms.2009.03.019
    56 schema:sdDatePublished 2019-04-11T01:04
    57 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    58 schema:sdPublisher Nbd8cede9cff14b75ba35ee116e1182fc
    59 schema:url http://link.springer.com/10.1016/j.jasms.2009.03.019
    60 sgo:license sg:explorer/license/
    61 sgo:sdDataset articles
    62 rdf:type schema:ScholarlyArticle
    63 N0026f4a4a83e4647878c574a35bf9c92 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    64 schema:name Spectrometry, Mass, Electrospray Ionization
    65 rdf:type schema:DefinedTerm
    66 N1747b8e16581485181b3837735ab48d8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    67 schema:name Reproducibility of Results
    68 rdf:type schema:DefinedTerm
    69 N187777f712b445d0b13c6b8f5d45f73f schema:name Department of Cancer Biology and Blais Proteomics Center, Dana-Farber Cancer Institute, Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts, USA
    70 rdf:type schema:Organization
    71 N36a3b807be1b429393788d7fad63084e schema:name pubmed_id
    72 schema:value 19403316
    73 rdf:type schema:PropertyValue
    74 N3fc7e6b1e7eb451ca7789e45efaba672 rdf:first sg:person.015533713660.59
    75 rdf:rest Na1653af725ee483692fddeb930901026
    76 N5753cc32c30f40aabbe3f0db28328243 schema:volumeNumber 20
    77 rdf:type schema:PublicationVolume
    78 N5f8a18080a1e45b3ad0bbae4c0bd2d1c rdf:first sg:person.0652011540.65
    79 rdf:rest rdf:nil
    80 N68457e4ea130492b8031a6876ed6b15d schema:name readcube_id
    81 schema:value 906e156d1451ccb446ef17c7c3fe8910cf804aaddf55594de928e65958dd0c3e
    82 rdf:type schema:PropertyValue
    83 N71e99e58b94e4b48977d947107293078 rdf:first sg:person.01172462272.40
    84 rdf:rest N5f8a18080a1e45b3ad0bbae4c0bd2d1c
    85 N74090cf352124bb0a8b34a88eec73138 schema:name Department of Cancer Biology and Blais Proteomics Center, Dana-Farber Cancer Institute, Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts, USA
    86 rdf:type schema:Organization
    87 N81aab9b10d9d48448e298f93975f732c schema:name nlm_unique_id
    88 schema:value 9010412
    89 rdf:type schema:PropertyValue
    90 Na0afc431d424472585f8b7af2e3b6a74 schema:name Department of Cancer Biology and Blais Proteomics Center, Dana-Farber Cancer Institute, Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts, USA
    91 rdf:type schema:Organization
    92 Na1653af725ee483692fddeb930901026 rdf:first sg:person.01250106705.36
    93 rdf:rest N71e99e58b94e4b48977d947107293078
    94 Na984328611b3492ca7219041d1d61948 schema:name doi
    95 schema:value 10.1016/j.jasms.2009.03.019
    96 rdf:type schema:PropertyValue
    97 Nb0d21283163e44fa93810ce6a4f3d2c8 schema:issueNumber 8
    98 rdf:type schema:PublicationIssue
    99 Nbd8cede9cff14b75ba35ee116e1182fc schema:name Springer Nature - SN SciGraph project
    100 rdf:type schema:Organization
    101 Nc5eb6319d03e4c67923d99e735e3f4d1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    102 schema:name Algorithms
    103 rdf:type schema:DefinedTerm
    104 Nd30828949804464ba3e614a4bf446f43 schema:name Department of Cancer Biology and Blais Proteomics Center, Dana-Farber Cancer Institute, Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts, USA
    105 rdf:type schema:Organization
    106 Ne0ef0997f75749fea7956f40b6f4236b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    107 schema:name Sensitivity and Specificity
    108 rdf:type schema:DefinedTerm
    109 Nf77d87ee6abc4cf28e3070ef174a57c2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    110 schema:name Phosphopeptides
    111 rdf:type schema:DefinedTerm
    112 Nff967dee91db400789963aec9e0b8196 schema:name dimensions_id
    113 schema:value pub.1030318406
    114 rdf:type schema:PropertyValue
    115 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
    116 schema:name Chemical Sciences
    117 rdf:type schema:DefinedTerm
    118 anzsrc-for:0301 schema:inDefinedTermSet anzsrc-for:
    119 schema:name Analytical Chemistry
    120 rdf:type schema:DefinedTerm
    121 sg:journal.1100508 schema:issn 1044-0305
    122 1879-1123
    123 schema:name Journal of The American Society for Mass Spectrometry
    124 rdf:type schema:Periodical
    125 sg:person.01172462272.40 schema:affiliation Nd30828949804464ba3e614a4bf446f43
    126 schema:familyName Li
    127 schema:givenName Shaojuan
    128 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01172462272.40
    129 rdf:type schema:Person
    130 sg:person.01250106705.36 schema:affiliation N74090cf352124bb0a8b34a88eec73138
    131 schema:familyName Ficarro
    132 schema:givenName Scott B.
    133 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01250106705.36
    134 rdf:type schema:Person
    135 sg:person.015533713660.59 schema:affiliation N187777f712b445d0b13c6b8f5d45f73f
    136 schema:familyName Zhang
    137 schema:givenName Yi
    138 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015533713660.59
    139 rdf:type schema:Person
    140 sg:person.0652011540.65 schema:affiliation Na0afc431d424472585f8b7af2e3b6a74
    141 schema:familyName Marto
    142 schema:givenName Jarrod A.
    143 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0652011540.65
    144 rdf:type schema:Person
    145 sg:pub.10.1016/1044-0305(91)80044-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022669961
    146 https://doi.org/10.1016/1044-0305(91)80044-8
    147 rdf:type schema:CreativeWork
    148 sg:pub.10.1016/s1044-0305(01)00361-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050935543
    149 https://doi.org/10.1016/s1044-0305(01)00361-0
    150 rdf:type schema:CreativeWork
    151 sg:pub.10.1016/s1044-0305(02)00384-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027581145
    152 https://doi.org/10.1016/s1044-0305(02)00384-7
    153 rdf:type schema:CreativeWork
    154 sg:pub.10.1038/nmeth1060 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043866234
    155 https://doi.org/10.1038/nmeth1060
    156 rdf:type schema:CreativeWork
    157 sg:pub.10.1038/nri2091 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050596236
    158 https://doi.org/10.1038/nri2091
    159 rdf:type schema:CreativeWork
    160 https://doi.org/10.1002/(sici)1097-0231(19960610)10:8<889::aid-rcm615>3.0.co;2-f schema:sameAs https://app.dimensions.ai/details/publication/pub.1014437270
    161 rdf:type schema:CreativeWork
    162 https://doi.org/10.1002/bms.1200080909 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007268108
    163 rdf:type schema:CreativeWork
    164 https://doi.org/10.1002/rcm.1020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005626481
    165 rdf:type schema:CreativeWork
    166 https://doi.org/10.1002/rcm.1290030706 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033201158
    167 rdf:type schema:CreativeWork
    168 https://doi.org/10.1016/0168-1176(84)80077-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029050799
    169 rdf:type schema:CreativeWork
    170 https://doi.org/10.1016/0168-1176(89)85010-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050436166
    171 rdf:type schema:CreativeWork
    172 https://doi.org/10.1016/s0167-7799(02)01944-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008595125
    173 rdf:type schema:CreativeWork
    174 https://doi.org/10.1016/s0168-9525(97)01223-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022738563
    175 rdf:type schema:CreativeWork
    176 https://doi.org/10.1021/ac00004a015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054965376
    177 rdf:type schema:CreativeWork
    178 https://doi.org/10.1021/ac00212a016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054980897
    179 rdf:type schema:CreativeWork
    180 https://doi.org/10.1021/ac800564h schema:sameAs https://app.dimensions.ai/details/publication/pub.1055069972
    181 rdf:type schema:CreativeWork
    182 https://doi.org/10.1021/ac991131p schema:sameAs https://app.dimensions.ai/details/publication/pub.1055077462
    183 rdf:type schema:CreativeWork
    184 https://doi.org/10.1021/pr0499794 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056290639
    185 rdf:type schema:CreativeWork
    186 https://doi.org/10.1021/pr0503073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000508826
    187 rdf:type schema:CreativeWork
    188 https://doi.org/10.1021/pr0602803 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056291151
    189 rdf:type schema:CreativeWork
    190 https://doi.org/10.1021/pr0705136 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056291759
    191 rdf:type schema:CreativeWork
    192 https://doi.org/10.1073/pnas.0403471101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025109712
    193 rdf:type schema:CreativeWork
    194 https://doi.org/10.1074/mcp.m400129-mcp200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051297362
    195 rdf:type schema:CreativeWork
    196 https://doi.org/10.1074/mcp.m800029-mcp200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038596672
    197 rdf:type schema:CreativeWork
    198 https://doi.org/10.1080/02648725.1996.10647923 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046691580
    199 rdf:type schema:CreativeWork
    200 https://doi.org/10.1084/jem.20042101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038642059
    201 rdf:type schema:CreativeWork
    202 https://doi.org/10.1111/j.1365-2141.2007.06700.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1015578242
    203 rdf:type schema:CreativeWork
    204 https://doi.org/10.1182/blood-2004-08-3271 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025992210
    205 rdf:type schema:CreativeWork
    206 https://doi.org/10.1515/bc.1999.152 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052594985
    207 rdf:type schema:CreativeWork
     




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


    ...