title: Splice variants in the proteome: a promising and challenging field to targeted drug discovery.
abstract: The advent and improvement of high-throughput sequencing over the past decade leveraged the study of whole genomes and transcriptomes of different organisms at lower costs. In transcriptomics, RNA-Seq expands our capacity to understand gene expression in different tissues and pathologies, and how alternative splicing might affect the final protein sequence. Here, we discuss the association of using transcriptome and proteome high-throughput data to foster drug discovery. Using this innovative strategy, some research groups have already identified computationally predicted novel peptides derived from putative splice variants in experimental human proteome data. These discoveries provide new opportunities for targeted drug development.
authors.affiliation: Bioinformatics Unit, Clinical Research Coordination, Instituto Nacional de Câncer (INCA), Rio de Janeiro, RJ 20231-050, Brazil.
authors.forename: Raphael
authors.initials: R
authors.lastname: Tavares
authors.affiliation: Bioinformatics Unit, Clinical Research Coordination, Instituto Nacional de Câncer (INCA), Rio de Janeiro, RJ 20231-050, Brazil.
authors.forename: Nicole M
authors.initials: NM
authors.lastname: Scherer
authors.affiliation: Clinical Research Coordination, Instituto Nacional de Câncer (INCA), Rio de Janeiro, RJ 20231-050, Brazil.
authors.forename: Carlos G
authors.initials: CG
authors.lastname: Ferreira
authors.affiliation: Cancer Biology and Epigenomics Program, Ann and Robert Lurie Children's Hospital of Chicago Research Center and Department of Pediatrics, Northwestern University's Feinberg School of Medicine, Chicago, IL 60614, USA; Genomic Enterprise, Chicago, IL 60614, USA. Electronic address: fcosta@luriechildrens.org.
authors.forename: Fabricio F
authors.initials: FF
authors.lastname: Costa
authors.affiliation: Bioinformatics Unit, Clinical Research Coordination, Instituto Nacional de Câncer (INCA), Rio de Janeiro, RJ 20231-050, Brazil. Electronic address: passetti@inca.gov.br.
authors.forename: Fabio
authors.initials: F
authors.lastname: Passetti
mesh_terms: D017398:Alternative Splicing; D000818:Animals; D030541:Databases, Genetic; D055808:Drug Discovery; D006801:Humans; D020543:Proteome
chemical_list: D020543:Proteome