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Saskia Helmsing

Researcher at Braunschweig University of Technology

Publications -  21
Citations -  1397

Saskia Helmsing is an academic researcher from Braunschweig University of Technology. The author has contributed to research in topics: Phage display & Antigen. The author has an hindex of 11, co-authored 21 publications receiving 888 citations.

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The invasin D protein from Yersinia pseudotuberculosis selectively binds the Fab region of host antibodies and affects colonization of the intestine

TL;DR: The first crystal structure of the C-terminal adhesion domain of InvD revealed a distinct Ig-related fold that, apart from the canonical β-sheets, comprises various modifications of and insertions into the Ig-core structure, suggesting that InvD modulates Ig functions in the intestine and affects direct interactions with a subset of cell surface-exposed B-cell receptors.
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Designing Human Antibodies by Phage Display

TL;DR: Some opportunities and achievements are summarized, e.g., the generation of antibodies which could not be generated otherwise, and the design of antibody properties by different panning strategies, including the adjustment of kinetic parameters.
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A human scFv antibody generation pipeline for proteome research

TL;DR: This work presents the first comprehensive comparison of V gene subfamily use for all steps of an antibody phage display pipeline, and describes a compatible cassette vector set, allowing in vivo biotinylation, enzyme fusion and Fc fusion.
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Towards proteome scale antibody selections using phage display.

TL;DR: Streamlined methods for high throughput antibody generation developed within the 'Antibody Factory' of the German National Genome Research Network (NGFN) were demonstrated to minimise effort and provide a reliable and robust source for antibodies.
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Improved microtitre plate production of single chain Fv fragments in Escherichia coli.

TL;DR: A combined protocol was developed which improved the expression of scFv fragments over standard methods, and was not possible to deduce a single set of optimal parameters applicable to all the tested scFvs.