Massive-scale RNA-Seq analysis of non ribosomal transcriptome in human trisomy 21

• Published in: PloS one Vol. 6; no. 4; p. e18493
• Main Authors: Costa, Valerio, Angelini, Claudia, D'Apice, Luciana, Mutarelli, Margherita, Casamassimi, Amelia, Sommese, Linda, Gallo, Maria Assunta, Aprile, Marianna, Esposito, Roberta, Leone, Luigi, Donizetti, Aldo, Crispi, Stefania, Rienzo, Monica, Sarubbi, Berardo, Calabrò, Raffaele, Picardi, Marco, Salvatore, Paola, Infante, Teresa, De Berardinis, Piergiuseppe, Napoli, Claudio, Ciccodicola, Alfredo
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 20.04.2011; Public Library of Science (PLoS)
• Subjects: Alternative Splicing; Alzheimer's disease; Analysis; Biochemistry; Bioinformatics; Biology; Biophysics; Brain; Cardiology; Cells (biology); Collaboration; Consortia; Dark matter; Down Syndrome; Down's syndrome; Endothelium; Feasibility studies; Gene Expression; Gene Expression Profiling; Gene sequencing; Genes; Genetic disorders; Genomes; Humans; Hybridization; Introns; Isoforms; Mammals; Medicine; miRNA; Non-coding RNA; Nucleic Acid Conformation; Ontology; Pathogenesis; Pathology; Phylogenetics; Ribonucleic acid; RNA; RNA - chemistry; RNA - genetics; RNA sequencing; rRNA; Sensitivity analysis; Stem cells; Transcription; Transcription (Genetics); Trisomy

Hybridization- and tag-based technologies have been successfully used in Down syndrome to identify genes involved in various aspects of the pathogenesis. However, these technologies suffer from several limits and drawbacks and, to date, information about rare, even though relevant, RNA species such...