The aim of this article is to demonstrate the disparity among various “Omic” methods such as genomic, lipidomic, proteomic, and metabolomic analysis, which can be used for Labskin.
Each method offers a complete and potentially versatile evaluation of numerous molecules at the same time, with high throughput.
Genomic Analysis: Microarray analysis was employed to evaluate genomic variations in Labskin inoculated with S. epidermidis and S. aureus (see Figure 1).
Proteomic and Metabolomic Analysis: Xenobiotic metabolizing enzymes in Labskin were characterized and quantified through MS imaging (MSI) and Mass Spectrometry (MS) (refer to Figure 2).
Lipidomic Analysis: Biomarkers related to the wound healing process were determined by performing MSI analysis on Labskin (refer to Figure 3).
Figure 1. Labskin gene expression response to S. epidermidis and S. aureus using a whole human genome oligo microarray (red = up-regulation, blue = unchanged, and green = drown regulation in gene expression).
Proteomic and Metabolomic Analysis
Figure 2. (A) Diagram illustrating metabolism reaction of SB-MSI probe methyl paraben with esterase to form p-hydroxybenzoic acid. (B) MSI image of Labskin treated with methyl paraben highlighting esterase activity (red = methyl paraben and green = p-hydroxybenzoic acid).
Figure 3. Key component analysis—discriminant analysis of (A) scores plot and (B) loadings plot from MSI data representing all three regions of interest (red (dermis), yellow (wound site), and blue (epidermis)) in wounded Labskin.
When combined with various “Omic” technologies, Labskin produces a huge amount of information with high throughput. These methods enable each stage of the central dogma of molecular biology to be evaluated, to gain better insights into variations in the skin environment.
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