Bioinformatics analysis of long non-coding RNA-associated competing endogenous RNA network in schizophrenia

• Published in: Scientific reports Vol. 11; no. 1; pp. 24413 - 13
• Main Authors: Sabaie, Hani, Moghaddam, Madiheh Mazaheri, Moghaddam, Marziyeh Mazaheri, Ahangar, Noora Karim, Asadi, Mohammad Reza, Hussen, Bashdar Mahmud, Taheri, Mohammad, Rezazadeh, Maryam
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 24.12.2021; Nature Publishing Group; Nature Portfolio
• Subjects: 631/114; 631/208; 631/477; Bioinformatics; Biomarkers - metabolism; Brain-derived neurotrophic factor; Brodmann's area; CD44 antigen; Computational Biology - methods; DNA microarrays; Drb1 protein; Fibroblast growth factor 2; Gene expression; Genetic factors; Histocompatibility antigen HLA; Humanities and Social Sciences; Humans; Lymphoblasts; Mental disorders; MicroRNAs; miRNA; multidisciplinary; Neostriatum; Non-coding RNA; Osteonectin; Pax8 protein; Peripheral blood; Regulatory sequences; RNA, Long Noncoding - metabolism; Schizophrenia; Schizophrenia - genetics; Science; Science (multidisciplinary); Transcriptomes

Schizophrenia (SCZ) is a serious psychiatric condition with a 1% lifetime risk. SCZ is one of the top ten global causes of disabilities. Despite numerous attempts to understand the function of genetic factors in SCZ development, genetic components in SCZ pathophysiology remain unknown. The competing...