Literature DB >> 21328601

Informatics for mass spectrometry-based RNA analysis.

Hiroshi Nakayama1, Nobuhiro Takahashi, Toshiaki Isobe.   

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.
Copyright © 2011 Wiley Periodicals, Inc.

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Year:  2011        PMID: 21328601     DOI: 10.1002/mas.20325

Source DB:  PubMed          Journal:  Mass Spectrom Rev        ISSN: 0277-7037            Impact factor:   10.946


  10 in total

Review 1.  The multifaceted roles of mass spectrometric analysis in nucleic acids drug discovery and development.

Authors:  Thomas Kenderdine; Dan Fabris
Journal:  Mass Spectrom Rev       Date:  2021-12-23       Impact factor: 9.011

2.  Sequence mapping of transfer RNA chemical modifications by liquid chromatography tandem mass spectrometry.

Authors:  Robert Ross; Xiaoyu Cao; Ningxi Yu; Patrick A Limbach
Journal:  Methods       Date:  2016-03-24       Impact factor: 3.608

Review 3.  Going global: the new era of mapping modifications in RNA.

Authors:  Patrick A Limbach; Mellie June Paulines
Journal:  Wiley Interdiscip Rev RNA       Date:  2016-06-01       Impact factor: 9.957

Review 4.  Mass spectrometry of modified RNAs: recent developments.

Authors:  Collin Wetzel; Patrick A Limbach
Journal:  Analyst       Date:  2015-10-26       Impact factor: 4.616

5.  RoboOligo: software for mass spectrometry data to support manual and de novo sequencing of post-transcriptionally modified ribonucleic acids.

Authors:  Paul J Sample; Kirk W Gaston; Juan D Alfonzo; Patrick A Limbach
Journal:  Nucleic Acids Res       Date:  2015-03-27       Impact factor: 16.971

6.  Identification of truncated forms of U1 snRNA reveals a novel RNA degradation pathway during snRNP biogenesis.

Authors:  Hideaki Ishikawa; Yuko Nobe; Keiichi Izumikawa; Harunori Yoshikawa; Naoki Miyazawa; Goro Terukina; Natsuki Kurokawa; Masato Taoka; Yoshio Yamauchi; Hiroshi Nakayama; Toshiaki Isobe; Nobuhiro Takahashi
Journal:  Nucleic Acids Res       Date:  2013-12-05       Impact factor: 16.971

Review 7.  The identification and characterization of non-coding and coding RNAs and their modified nucleosides by mass spectrometry.

Authors:  Kirk W Gaston; Patrick A Limbach
Journal:  RNA Biol       Date:  2014       Impact factor: 4.652

8.  MicroRNA MultiTool: A Software for Identifying Modified and Unmodified Human microRNA Using Mass Spectrometry.

Authors:  Zhonghao Cui; Norman H L Chiu; Dickson M Wambua
Journal:  Noncoding RNA       Date:  2017-03-16

9.  MStoCIRC: A powerful tool for downstream analysis of MS/MS data to predict translatable circRNAs.

Authors:  Zhou Cao; Guanglin Li
Journal:  Front Mol Biosci       Date:  2022-08-22

10.  SMMRNA: a database of small molecule modulators of RNA.

Authors:  Ankita Mehta; Surabhi Sonam; Isha Gouri; Saurabh Loharch; Deepak K Sharma; Raman Parkesh
Journal:  Nucleic Acids Res       Date:  2013-10-24       Impact factor: 16.971

  10 in total

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