Figure S1. XRD of CVD grown BiVO 4 (black) thin film grown on FTO coated glass substrate. Also provided are reference peaks of FTO and monoclinic scheelite (ms) BiVO 4 .
Species identification of cell lines and detection of cross-contamination are crucial for scientific research accuracy and reproducibility. Whereas short tandem repeat profiling offers a solution for a limited number of species, primarily human and mouse, the standard method for species identification of cell lines is enzyme polymorphism. Isoezymology, however, has its own drawbacks; it is cumbersome and the data interpretation is often difficult. Furthermore, the detection sensitivity for cross-contamination is low; it requires large amounts of the contaminant present and cross-contamination within closely related species may go undetected. In this paper, we describe a two-pronged molecular approach that addresses these issues by targeting the mitochondrial genome. First, we developed a multiplex PCR-based assay to rapidly identify the most common cell culture species and quickly detect cross-contaminations among these species. Second, for speciation and identification of a wider variety of cell lines, we amplified and sequenced a 648-bp region, often described as the "barcode region" by using a universal primer mix targeted at conserved sequences of the cytochrome C oxidase I gene (COI). This method was challenged with a panel of 67 cell lines from 45 diverse species. Implementation of these assays will accurately determine the species of cell lines and will reduce the problems of misidentification and cross-contamination that plague research efforts.
Classical methods for identification of Mycobacterium species rely on morphology and biochemical profiles. Speciation of a Mycobacterium isolate using these standard methods is a lengthy process based on subjective data interpretation. In this study, Mycobacterium species were characterized by utilizing matrix-assisted laser desorption ionization-time-of-flight mass spectrometry (MALDI-TOF MS). This technology is designed to provide a characteristic mass spectral fingerprint based on desorbed ions from the cell surface. Thirty-seven strains were analyzed; these represented thirteen species and five subspecies that included the Mycobacterium tuberculosis complex and the M. avium-M. intracellulare complex, as well as rapid-and slow-growing mycobacteria. All 37 strains were analyzed in triplicate, and a database was generated. This method produced species-specific patterns for all but 1 of the 37 isolates and provided reliable differentiation at the strain level. The data suggest that whole-cell MALDI-TOF MS has potential as a rapid and reproducible method for the identification and characterization of Mycobacterium species.
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