Inclusions of R6/2 Mice Are Not Amyloid and Differ Structurally from Those of Huntington Disease Brain

Direct, Rapid, and Simple Evaluation of the Expression and Conformation of Beta-Amyloid in Bacterial Cells by FTIR Spectroscopy

The expression and conformation of bacterial proteins and peptides can be monitored in situ by Fourier transform infrared spectroscopy (FTIR), provided that the concentration of the protein of interest is sufficient. Here, we describe a simple protocol to analyze the conformation adopted by a specific amyloid protein in Escherichia coli cells, the pleiotropic regulator Hfq.E. coli cells expressing Hfq under an inducible promoter are analyzed. The change in protein conformation is analyzed by comparing the different populations versus controls (i.e., Δhfq cells, totally devoid of the Hfq protein) by difference spectroscopy, second derivation, curve-fitting, and principal component analysis. All the analyses were performed in the free, open-source software Quasar. We describe the detailed protocol for analyzing the data in Quasar. We show that the specific absorption of the β-amyloid conformation can be easily detected in the WT-Hfq, with bands at 1624 cm^-1 and 1693 cm^-1 indicating the presence of both parallel and antiparallel β-sheets. Furthermore, we show that FTIR spectroscopy is sensitive enough to probe the conformation of an amyloid protein backbone in vivo and to analyze its conformation in situ, directly in bacterial cells, without the need for protein purification.

An infrared spectral biomarker accurately predicts neurodegenerative disease class in the absence of overt symptoms

Although some neurodegenerative diseases can be identified by behavioral characteristics relatively late in disease progression, we currently lack methods to predict who has developed disease before the onset of symptoms, when onset will occur, or the outcome of therapeutics. New biomarkers are needed. Here we describe spectral phenotyping, a new kind of biomarker that makes disease predictions based on chemical rather than biological endpoints in cells. Spectral phenotyping uses Fourier Transform Infrared (FTIR) spectromicroscopy to produce an absorbance signature as a rapid physiological indicator of disease state. FTIR spectromicroscopy has over the past been used in differential diagnoses of manifest disease. Here, we report that the unique FTIR chemical signature accurately predicts disease class in mouse with high probability in the absence of brain pathology. In human cells, the FTIR biomarker accurately predicts neurodegenerative disease class using fibroblasts as surrogate cells.