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

microRNA (miRNA) are short endogenous non-coding RNA that play a crucial role in post-transcriptional gene regulation and have been implicated in the initiation and progression of 160+ human diseases. Excellent analytical methods have been developed for the measurement of miRNA by mass spectrometry....

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Detalles Bibliográficos
Autores principales: Cui, Zhonghao, Chiu, Norman H. L., Wambua, Dickson M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5832007/
https://www.ncbi.nlm.nih.gov/pubmed/29657285
http://dx.doi.org/10.3390/ncrna3010013
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author Cui, Zhonghao
Chiu, Norman H. L.
Wambua, Dickson M.
author_facet Cui, Zhonghao
Chiu, Norman H. L.
Wambua, Dickson M.
author_sort Cui, Zhonghao
collection PubMed
description microRNA (miRNA) are short endogenous non-coding RNA that play a crucial role in post-transcriptional gene regulation and have been implicated in the initiation and progression of 160+ human diseases. Excellent analytical methods have been developed for the measurement of miRNA by mass spectrometry. However, interpretation of mass spectrometric data has been an incapacitating bottleneck in miRNA identification. This study details the development of MicroRNA MultiTool, a software for the identification of miRNA from mass spectrometric data. The software includes capabilities such as miRNA search and mass calculator, modified miRNA mass calculator, and miRNA fragment search. MicroRNA MultiTool bridges the gap between experimental data and identification of miRNA by providing a rapid means of mass spectrometric data interpretation.
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spelling pubmed-58320072018-04-12 MicroRNA MultiTool: A Software for Identifying Modified and Unmodified Human microRNA Using Mass Spectrometry Cui, Zhonghao Chiu, Norman H. L. Wambua, Dickson M. Noncoding RNA Article microRNA (miRNA) are short endogenous non-coding RNA that play a crucial role in post-transcriptional gene regulation and have been implicated in the initiation and progression of 160+ human diseases. Excellent analytical methods have been developed for the measurement of miRNA by mass spectrometry. However, interpretation of mass spectrometric data has been an incapacitating bottleneck in miRNA identification. This study details the development of MicroRNA MultiTool, a software for the identification of miRNA from mass spectrometric data. The software includes capabilities such as miRNA search and mass calculator, modified miRNA mass calculator, and miRNA fragment search. MicroRNA MultiTool bridges the gap between experimental data and identification of miRNA by providing a rapid means of mass spectrometric data interpretation. MDPI 2017-03-16 /pmc/articles/PMC5832007/ /pubmed/29657285 http://dx.doi.org/10.3390/ncrna3010013 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cui, Zhonghao
Chiu, Norman H. L.
Wambua, Dickson M.
MicroRNA MultiTool: A Software for Identifying Modified and Unmodified Human microRNA Using Mass Spectrometry
title MicroRNA MultiTool: A Software for Identifying Modified and Unmodified Human microRNA Using Mass Spectrometry
title_full MicroRNA MultiTool: A Software for Identifying Modified and Unmodified Human microRNA Using Mass Spectrometry
title_fullStr MicroRNA MultiTool: A Software for Identifying Modified and Unmodified Human microRNA Using Mass Spectrometry
title_full_unstemmed MicroRNA MultiTool: A Software for Identifying Modified and Unmodified Human microRNA Using Mass Spectrometry
title_short MicroRNA MultiTool: A Software for Identifying Modified and Unmodified Human microRNA Using Mass Spectrometry
title_sort microrna multitool: a software for identifying modified and unmodified human microrna using mass spectrometry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5832007/
https://www.ncbi.nlm.nih.gov/pubmed/29657285
http://dx.doi.org/10.3390/ncrna3010013
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