MOJ Proteomics & Bioinformatics Research Article Open Access Atlas of the open reading frames in human diseases: dark matter of the human genome Abstract Volume 2 Issue 1 - 2015 Background: The human genome encodes RNA and protein coding sequences, the Ana Paula Delgado, Maria Julia Chapado, non-coding RNAs, pseudogenes and uncharacterized Open Reading Frames (ORFs). The dark matter of the human genome encompassing the uncharacterized proteins and Pamela Brandao, Sheilin Hamid, Ramaswamy the non-coding RNAs are least well studied. However, they offer novel druggable Narayanan targets and biomarkers discovery for diverse diseases. Department of Biological Sciences, Charles E. Schmidt College of Science, Florida Atlantic University, USA Methods: In this study, we have systematically dissected the dark matter of the human genome. Using diverse bioinformatics tools, an atlas of the dark matter of the genome Correspondence: Ramaswamy Narayanan, Department of was created. The ORFs were characterized for gene ontology, mRNA and protein Biological Sciences, Charles E. Schmidt College of Science, expression, protein motif and domains and genome-wide association. Florida Atlantic University, FL 33431, USA. Tel +15612972247, Fax +15612973859, Email
[email protected] Results: An atlas of disease-related ORFs (n=800) was generated. A complex landscape of involvement in multiple diseases was seen for these ORFs. Motif and Received: January 08, 2015 | Published: January 30, 2015 domains analysis identified druggable targets and putative secreted biomarkers including enzymes, receptors and transporters as well as proteins with signal peptide sequence. About ten percent of the ORFs showed a correlation of gene expression at the mRNA and protein levels. Genome-Phenome association tools identified ORF’s association with autoimmune, cardiovascular, cancer, diabetes, infection, metabolic, neurodegenerative and psychiatric disorders.