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A next generation setup for pre-fractionation of non-denatured proteins reveals diverse albumin proteoforms each carrying several post-translational modifications

Heidrun Rhode*, Petra Muckova, Rita Büchler, Sindy Wendler, Bärbel Tautkus, Michaela Vogel, Thomas Moore, Julian Grosskreutz, Andree Klemm, Mary Nabity

*Korrespondierende/r Autor/-in für diese Arbeit

Abstract

Proteomic biomarker search requires the greatest analytical reproducibility and detailed information on altered proteoforms. Our protein pre-fractionation applies orthogonal native chromatography and conserves important features of protein variants such as native molecular weight, charge and major glycans. Moreover, we maximized reproducibility of sample pre-fractionation and preparation before mass spectrometry by parallelization and automation. In blood plasma and cerebrospinal fluid (CSF), most proteins, including candidate biomarkers, distribute into a multitude of chromatographic clusters. Plasma albumin, for example, divides into 15-17 clusters. As an example of our technique, we analyzed these albumin clusters from healthy volunteers and from dogs and identified cluster-typical modification patterns. Renal disease further modifies these patterns. In human CSF, we found only a subset of proteoforms with fewer modifications than in plasma. We infer from this example that our method can be used to identify and characterize distinct proteoforms and, optionally, enrich them, thereby yielding the characteristics of proteoform-selective biomarkers.

OriginalspracheEnglisch
Aufsatznummer11733
ZeitschriftScientific Reports
Jahrgang9
Ausgabenummer1
ISSN2045-2322
DOIs
PublikationsstatusVeröffentlicht - 01.12.2019
Extern publiziertJa

Fördermittel

Financial support: Thuringia Ministry for Education, Science and Culture and the EFRE-fund (SW, PM, RB, HR: 2010 FE 9001, 2013 FE 9075, PR: 2013 FE 9077); Federal Ministry for Education and Research (PM: 01GM1304), Federal Ministry for Economic Affairs and Energy and the Central Innovation Program SME (RB, HR, KF 2937601FR1), and Prof. B. Qualmann (MS maintenance). Dr. A. J. Davis of English Experience Language Services, Goettingen, edited versions of the manuscript during its preparation.

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 3 – Gesundheit und Wohlergehen
    SDG 3 – Gesundheit und Wohlergehen

Strategische Forschungsbereiche und Zentren

  • Zentren: Neuromuskuläres Zentrum Schleswig-Holstein

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