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Holger F. Hebestreit

Researcher at University of Oxford

Publications -  10
Citations -  6180

Holger F. Hebestreit is an academic researcher from University of Oxford. The author has contributed to research in topics: Proteome & Proteomics. The author has an hindex of 10, co-authored 10 publications receiving 5819 citations. Previous affiliations of Holger F. Hebestreit include University of Birmingham.

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Targeting of HIF-alpha to the von Hippel-Lindau Ubiquitylation Complex by O2-Regulated Prolyl Hydroxylation

TL;DR: It is shown that the interaction between human pVHL and a specific domain of the HIF-1α subunit is regulated through hydroxylation of a proline residue by an enzyme the authors have termed Hif-α prolyl-hydroxylase (HIF-PH).
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Towards complete analysis of the platelet proteome.

TL;DR: Analysis of the human platelet proteome contributes to a more thorough and holistic understanding of platelet biology, helping to build the basis for future identification of new drug targets and therapeutic strategies.
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Differential proteome analysis of TRAP-activated platelets: involvement of DOK-2 and phosphorylation of RGS proteins

TL;DR: A new approach for the identification of novel signaling molecules in activated platelets is provided, providing new insights into the mechanisms of platelet activation and building the basis for the development of therapeutic agents for thrombotic diseases.
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Extensive analysis of the human platelet proteome by two‐dimensional gel electrophoresis and mass spectrometry

TL;DR: A unique inventory of the platelet proteome is provided, contributing to the understanding of platelet function and building the basis for the identification of new drug targets.
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Detailed glycan analysis of serum glycoproteins of patients with congenital disorders of glycosylation indicates the specific defective glycan processing step and provides an insight into pathogenesis

TL;DR: This biochemical approach to charting diseases that involve alterations in glycan processing provides a rapid indicator of the nature, severity, and cell type specificity of the suboptimal glycosylation steps; allows links to genetic mutations; indicates the expression levels of proteins; and gives insight into the pathways affected in the disease process.