December 7, 2020 Journal article Open Access

Nara Liessi; Luca Maragliano; Valentina Castagnola; Mattia Bramini; Fabio Benfenati; Andrea Armirotti

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  <identifier identifierType="URL">https://zenodo.org/record/4320629</identifier>
  <creators>
    <creator>
      <creatorName>Nara Liessi</creatorName>
      <affiliation>Istituto Italiano di Tecnologia</affiliation>
    </creator>
    <creator>
      <creatorName>Luca Maragliano</creatorName>
      <affiliation>Istituto Italiano di Tecnologia</affiliation>
    </creator>
    <creator>
      <creatorName>Valentina Castagnola</creatorName>
      <affiliation>Istituto Italiano di Tecnologia</affiliation>
    </creator>
    <creator>
      <creatorName>Mattia Bramini</creatorName>
      <affiliation>University of Granada</affiliation>
    </creator>
    <creator>
      <creatorName>Fabio Benfenati</creatorName>
      <affiliation>Istituto Italiano di Tecnologia</affiliation>
    </creator>
    <creator>
      <creatorName>Andrea Armirotti</creatorName>
      <affiliation>Istituto Italiano di Tecnologia</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Isobaric Labeling Proteomics Allows a High-Throughput Investigation of Protein Corona Orientation</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <dates>
    <date dateType="Issued">2020-12-07</date>
  </dates>
  <resourceType resourceTypeGeneral="JournalArticle"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4320629</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1021/acs.analchem.0c03134</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;The formation of the biomolecular corona represents a crucial factor in controlling the biological interactions and trafficking of nanomaterials. In this context, the availability of key epitopes exposed on the surface of the corona, and able to engage the biological machinery, is important to define the biological fate of the material. While the full biomolecular corona composition can be investigated by conventional bottom-up proteomics, the assessment of the spatial orientation of proteins in the corona in a high-throughput fashion is still challenging. In this work, we show that labeling corona proteins with isobaric tags in their native conditions and analyzing the MS/MS spectra of tryptic peptides allow an easy and high-throughput assessment of the inner/outer orientation of the corresponding proteins in the original corona. We put our results in the context of what is currently known of the protein corona of graphene-based nanomaterials. Our conclusions are in line with previous data and were confirmed by&amp;nbsp;&lt;em&gt;in silico&lt;/em&gt;&amp;nbsp;calculations.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/785219/">785219</awardNumber>
      <awardTitle>Graphene Flagship Core Project 2</awardTitle>
    </fundingReference>
  </fundingReferences>
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