OBJECTIVE To demonstrate the ability of the Mindera Health DBP to extract actionable quantities of mRNA from lesional skin of psoriasis patients, and explore the body-site dependence of this method. METHODS Using the DBP, a total of 416 transcriptomes were collected from 24 di!erent body areas; each transcriptome was comprised of ~7,000 biomarkers. Samples were collected from research sites (N=15) under an IRB-approved protocol. After collection, samples were placed in a storage bu!er between 2–8˚C for transport and processing. Once received, next generation sequencing (NGS) was performed according to standard procedures. Measurements were made of the gene detection rate and mRNA yield. Additionally, a subset of samples was analyzed at various time points after sample collection (1-10 days) to determine mRNA stability during storage and transport. FIGURE 1. Dermal Biomarker Patch workflow. FIGURE 2. (A) Graphical depiction of DBP micro-projections. These projections are chemically modified to specifically bind to mRNA in the skin. (B) En face histology of DBP application. To assess the depth of penetration by the DBP, ex vivo skin samples were sliced en face and resulting puncture sites were quantified. On average, >90% of the DBP projections penetrated 350-400 µm into the skin. RESULTS FIGURE 3. Gene detection rates from various body sites (N = 416). The gene detection rate ranged from 1.1% to 76.2%. The average gene detection rate was 43.3%. Based on a "20% gene detection rate acceptance criterion, >96% of the samples passed quality control metrics. Statistical analysis of the data set demonstrated no statistically significant di!erence observed between body sites (ANOVA, p=0.342), in contrast to previously published data using stratum corneum tape stripping.* FIGURE 4. Yield of mRNA extracted from DBPs (N=412). The acceptance level for minimum concentration was determined to be 2-5 ng of amplified RNA at a concentration of 0.2 ng/µL. The yields of amplified mRNA ranged from 12–2,240 ng with an average yield of 360 ng, >100-times larger than the published average yields from stratum corneum tape stripping.* All samples passed the acceptance criterion of >4 ng and yielded acceptable results in downstream sequencing. FIGURE 5. Influence of time between collection and processing on quality of DBP RNA-Seq data. A subset of 373 psoriasis skin samples was collected from research sites, stored in storage bu!er at 2–8˚C, and transported in an insulated shipper system at 2–8˚C overnight for downstream analysis. To substantiate mRNA stability, the gene detection rates were determined for samples stored from 1 day to 10+ days. A total of 94.7% of the samples exceeded the QC threshold of 20% gene detection. SYNOPSIS The Dermal Biomarker Patch (DBP) platform e#ciently captures transcriptomes of >7,000 biomarkers from the lesional skin of psoriasis patients in su#cient quantities for next-generation sequencing protocols. There was no significant body-site variation observed, in contrast to stratum corneum tape stripping.* This platform makes precision medicine in dermatology a reality. It provides a powerful tool for doctors, researchers, and patients to better understand the skin. Funding for this project was provided by Mindera Health. * Wong R, Tran V, Talwalker S, Benson NR. Analysis of RNA recovery and gene expression in the epidermis using non-invasive tape stripping. J Dermatol Sci. 2006, 44(2):81-92. A DERMAL BIOMARKER PATCH DISPLAYS EXCELLENT ANALYTICAL PERFORMANCE AND OUTPERFORMS TAPE STRIPPING IN PSORIATIC SKIN A B Tobin J. Dickerson, PhD, Stephen Boyd, BS, Eric Andrade, BS, Christian Abaya, BS, Yipeng Wang, MD, PhD, and Byung-In Lee, PhD Mindera Health, 5795 Kearny Villa Road, San Diego, CA 92123 Amplified mRNA Yield from DBP CONCLUSION The Mindera Health Dermal Biomarker Patch platform has been proven to reliably extract the skin transcriptome in a minimally invasive manner. Success in psoriasis patients includes: • highly reproducible e#ciency of extraction • excellent mRNA yields suitable for RNA-Seq protocols • >96% of samples passing quality control metrics • no body-site bias in transcriptome extraction