<?xml version='1.0' encoding='utf-8'?>
<eprints xmlns='http://eprints.org/ep2/data/2.0'>
  <eprint id='https://data.lancashire.ac.uk/id/eprint/459'>
    <eprintid>459</eprintid>
    <rev_number>7</rev_number>
    <eprint_status>archive</eprint_status>
    <userid>7024</userid>
    <dir>disk0/00/00/04/59</dir>
    <datestamp>2024-07-09 11:19:55</datestamp>
    <lastmod>2024-07-09 11:24:31</lastmod>
    <status_changed>2024-07-09 11:19:55</status_changed>
    <type>data_collection</type>
    <metadata_visibility>show</metadata_visibility>
    <creators>
      <item>
        <name>
          <family>Gent</family>
          <given>L</given>
        </name>
      </item>
      <item>
        <name>
          <family>Chiappetta</family>
          <given>ME</given>
        </name>
      </item>
      <item>
        <name>
          <family>Hesketh</family>
          <given>S</given>
        </name>
      </item>
      <item>
        <name>
          <family>Palmowski</family>
          <given>P</given>
        </name>
      </item>
      <item>
        <name>
          <family>Porter</family>
          <given>A</given>
        </name>
      </item>
      <item>
        <name>
          <family>Bonicelli</family>
          <given>Andrea</given>
        </name>
        <id>ABonicelli@uclan.ac.uk</id>
      </item>
      <item>
        <name>
          <family>Schwalbe</family>
          <given>EC</given>
        </name>
      </item>
      <item>
        <name>
          <family>Procopio</family>
          <given>Noemi</given>
        </name>
        <id>NProcopio@uclan.ac.uk</id>
      </item>
    </creators>
    <title>Bone proteomics methods optimisation for forensic investigations</title>
    <divisions>
      <item>2023sub_L</item>
    </divisions>
    <abstract>The application of human bone in forensic proteomics is an expanding novel purpose in the aim of successfully quantifying biological estimations used in medico-legal investigations with greater accuracy. In this project, different extraction protocols were tested on n=30 human bone samples, including S-Trap technology with two different lysis buffer, and ZipTips. Additionally, a comparison was made between data-dependent acquisition (DDA) and data-independent acquisition (DIA) mode. Results showed less missing data using S-Traps instead of the more routine reverse-phase media tips (ZipTip). The type of lysis buffer when using S-Traps does not impact largely the analysis conducted in forensic proteomic workflows. Lastly, it was found that when open-source software is used for data processing for both DDA and DIA modes, DIA has the upper advantage in terms of acquiring a larger number of proteins due to its greater sensitivity to those with a lower abundance.</abstract>
    <data_type>dataset</data_type>
    <contact_email>rdmsupport@uclan.ac.uk</contact_email>
    <related_res_rich>
      <item>
        <title>Bone proteomics methods optimisation for forensic investigations</title>
        <res_type>ds_ext</res_type>
        <id>10.25345/C5QN5ZP1H</id>
        <id_type>DOI</id_type>
        <url>https://massive.ucsd.edu/ProteoSAFe/dataset.jsp?accession=MSV000093803</url>
      </item>
      <item>
        <title>Bone Proteomics Method Optimization for Forensic Investigations</title>
        <res_type>pub</res_type>
        <id>10.1021/acs.jproteome.4c00151</id>
        <id_type>DOI</id_type>
        <url>https://doi.org/10.1021/acs.jproteome.4c00151</url>
      </item>
    </related_res_rich>
  </eprint>
</eprints>
