title: Informatics for mass spectrometry-based RNA analysis.
abstract: Mass spectrometry (MS) allows the sensitive and direct characterization of biological macromolecules and therefore has the potential to complement the more conventional genetic and biochemical methods used for RNA characterization. Although MS has been used much less frequently for RNA research than it has been for protein research, recent technical improvements in both instrumentation and software make MS a powerful tool for RNA analysis because it can now be used to sequence, quantify, and chemically analyze RNAs. Mass spectrometry is particularly well suited for the characterization of RNAs associated with ribonucleoprotein complexes. This review focuses on the software and databases that can be used for MS-based RNA studies. Software for the processing of raw mass spectra, the identification and characterization of RNAs by mass mapping, de novo sequencing, and tandem MS-based database searching are available.
authors.affiliation: Biomolecular Characterization Team, RIKEN Advanced Science Institute, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan.
authors.forename: Hiroshi
authors.initials: H
authors.lastname: Nakayama
authors.forename: Nobuhiro
authors.initials: N
authors.lastname: Takahashi
authors.forename: Toshiaki
authors.initials: T
authors.lastname: Isobe
mesh_terms: D030561:Databases, Nucleic Acid; D048088:Informatics / Q000379:methods*; D013058:Mass Spectrometry / Q000379:methods*; D012313:RNA / Q000737:chemistry; D012323:RNA Processing, Post-Transcriptional; D012261:Ribonucleoproteins / Q000737:chemistry; D017423:Sequence Analysis, RNA / Q000379:methods*; D012984:Software
chemical_list: D012261:Ribonucleoproteins; D012313:RNA