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Adsorption of genetically engineered proteins studied by time‐of‐flight secondary ion mass spectrometry (TOF‐SIMS). Part A: data acquisition and principal component analysis (PCA)
Authors:Noriaki Suzuki  Lara Gamble  Candan Tamerler  Mehmet Sarikaya  David G. Castner  Fumio S. Ohuchi
Affiliation:1. Department of Materials Science and Engineering, University of Washington, BOX 352120, Seattle, WA 98195‐2120, USA;2. Department of Bioengineering, University of Washington, BOX 355061, Seattle, WA 98195‐1750, USA;3. Department of Molecular Biology and Genetics, Istanbul Technical University, Maslak, Istanbul,80626, Turkey;4. Department of Chemical Engineering, University of Washington, BOX 351750, Seattle, WA 98195‐1750, USA;5. Department of Materials Science and Engineering, University of Washington, BOX 352120, Seattle, WA 98195‐2120, USADepartment of Materials Science and Engineering, University of Washington, Seattle, WA 98195‐2120, USA.
Abstract:Recent progress in the adaptation of combinatorial biology selection protocols to materials science has created a new class of polypeptides with specific affinity to inorganics. Here, we use one of the genetically engineered proteins, a gold binding protein (GBP‐1), to assess quantitatively its binding specificity to Au, Ag and Pd surfaces by using time‐of‐flight secondary ion mass spectroscopy (TOF‐SIMS). The GBP‐1, originally selected using cell‐surface display techniques, consisting of 14 amino acids with a sequence of MHGKTQATSGTIQS, was used in this study. Three‐repeat and single‐repeat forms of GBP‐1 were prepared. In earlier studies, GBP‐1 was shown to bind to Au particles and self‐assemble on flat Au surfaces. Through the fingerprint analysis of these specific peptides, their role in binding can be investigated in terms of their contribution to surface interaction possibly forming the right molecular architecture for binding. To achieve this purpose, a large‐sized data matrix produced by TOF‐SIMS must be properly treated for analysis. In Part A, we use principal component analysis (PCA) to visualize the spectral variations for a variety of adsorption conditions and suggest possible contribution of the specific types of amino acids (binding site) to the interactions. Copyright © 2007 John Wiley & Sons, Ltd.
Keywords:TOF‐SIMS  PCA  genetically engineered proteins  GEPIs  GBP
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