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@ARTICLE{Kardell:298618,
      author       = {O. Kardell and T. Gronauer and C. von Toerne and J.
                      Merl-Pham and A.-C. König and T. K. Barth and J. Mergner
                      and C. Ludwig and J. Tüshaus and P. Giesbertz and S.
                      Breimann and L. Schweizer and T. Müller$^*$ and G.
                      Kliewer$^*$ and U. Distler and D. Gómez-Zepeda$^*$ and O.
                      Popp and D. Qin and D. Teupser and J. Cox and A. Imhof and
                      B. Küster and S. F. Lichtenthaler and J. Krijgsveld$^*$ and
                      S. Tenzer and P. Mertins and F. Coscia and S. M. Hauck},
      title        = {{M}ulticenter {L}ongitudinal {Q}uality {A}ssessment of
                      {MS}-{B}ased {P}roteomics in {P}lasma and {S}erum.},
      journal      = {Journal of proteome research},
      volume       = {24},
      number       = {3},
      issn         = {1535-3893},
      address      = {Washington, DC},
      publisher    = {ACS Publications},
      reportid     = {DKFZ-2025-00318},
      pages        = {1017-1029},
      year         = {2025},
      note         = {HI-TRON / 2025 Mar 7;24(3):1017-1029},
      abstract     = {Advancing MS-based proteomics toward clinical applications
                      evolves around developing standardized start-to-finish and
                      fit-for-purpose workflows for clinical specimens. Steps
                      along the method design involve the determination and
                      optimization of several bioanalytical parameters such as
                      selectivity, sensitivity, accuracy, and precision. In a
                      joint effort, eight proteomics laboratories belonging to the
                      MSCoreSys initiative including the CLINSPECT-M, MSTARS,
                      DIASyM, and SMART-CARE consortia performed a longitudinal
                      round-robin study to assess the analysis performance of
                      plasma and serum as clinically relevant samples. A variety
                      of LC-MS/MS setups including mass spectrometer models from
                      ThermoFisher and Bruker as well as LC systems from
                      ThermoFisher, Evosep, and Waters Corporation were used in
                      this study. As key performance indicators, sensitivity,
                      precision, and reproducibility were monitored over time.
                      Protein identifications range between 300 and 400 IDs across
                      different state-of-the-art MS instruments, with timsTOF Pro,
                      Orbitrap Exploris 480, and Q Exactive HF-X being among the
                      top performers. Overall, 71 proteins are reproducibly
                      detectable in all setups in both serum and plasma samples,
                      and 22 of these proteins are FDA-approved biomarkers, which
                      are reproducibly quantified (CV < $20\%$ with label-free
                      quantification). In total, the round-robin study highlights
                      a promising baseline for bringing MS-based measurements of
                      serum and plasma samples closer to clinical utility.},
      keywords     = {LC-MS/MS (Other) / R package mpwR (Other) / clinical
                      specimen (Other) / longitudinal round-robin study (Other) /
                      plasma (Other) / serum (Other)},
      cin          = {B230},
      ddc          = {540},
      cid          = {I:(DE-He78)B230-20160331},
      pnm          = {312 - Funktionelle und strukturelle Genomforschung
                      (POF4-312)},
      pid          = {G:(DE-HGF)POF4-312},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:39918541},
      doi          = {10.1021/acs.jproteome.4c00644},
      url          = {https://inrepo02.dkfz.de/record/298618},
}