Differentially Expressed RNA from Public Microarray Data Identifies Serum Protein Biomarkers for Cross-Organ Transplant Rejection and Other Conditions

摘要: Serum proteins are routinely used to diagnose diseases, but hard find due low sensitivity in screening the serum proteome. Public repositories of microarray data, such as Gene Expression Omnibus (GEO), contain RNA expression profiles for more than 16,000 biological conditions, covering 30% United States mortality. We hypothesized that genes coding serum- and urine-detectable proteins, showing differential disease-damaged tissues would make ideal diagnostic protein biomarkers those diseases. showed predicted significantly enriched known 22 with enrichment higher diseases which at least three datasets available. then this strategy search new indicating acute rejection (AR) across different types transplanted solid organs. integrated biopsy-based studies AR from pediatric renal, adult renal cardiac transplantation identified 45 upregulated all three. From set, we chose 10 ELISA assays 39 transplant patients, discovered were AR. Interestingly, also during 63 recipients studied. Our best marker, PECAM1, 89% 75% specificity, increased by immunohistochemistry hepatic biopsies. results demonstrate integrating gene measurements disease samples even publicly-available data sets can be a powerful, fast, cost-effective discovery biomarkers.