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ReTrOS: a MATLAB toolbox for reconstructing transcriptional activity from gene and protein expression data

BACKGROUND: Given the development of high-throughput experimental techniques, an increasing number of whole genome transcription profiling time series data sets, with good temporal resolution, are becoming available to researchers. The ReTrOS toolbox (Reconstructing Transcription Open Software) prov...

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Autores principales: Minas, Giorgos, Momiji, Hiroshi, Jenkins, Dafyd J., Costa, Maria J., Rand, David A., Finkenstädt, Bärbel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5485715/
https://www.ncbi.nlm.nih.gov/pubmed/28651569
http://dx.doi.org/10.1186/s12859-017-1695-8
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author Minas, Giorgos
Momiji, Hiroshi
Jenkins, Dafyd J.
Costa, Maria J.
Rand, David A.
Finkenstädt, Bärbel
author_facet Minas, Giorgos
Momiji, Hiroshi
Jenkins, Dafyd J.
Costa, Maria J.
Rand, David A.
Finkenstädt, Bärbel
author_sort Minas, Giorgos
collection PubMed
description BACKGROUND: Given the development of high-throughput experimental techniques, an increasing number of whole genome transcription profiling time series data sets, with good temporal resolution, are becoming available to researchers. The ReTrOS toolbox (Reconstructing Transcription Open Software) provides MATLAB-based implementations of two related methods, namely ReTrOS–Smooth and ReTrOS–Switch, for reconstructing the temporal transcriptional activity profile of a gene from given mRNA expression time series or protein reporter time series. The methods are based on fitting a differential equation model incorporating the processes of transcription, translation and degradation. RESULTS: The toolbox provides a framework for model fitting along with statistical analyses of the model with a graphical interface and model visualisation. We highlight several applications of the toolbox, including the reconstruction of the temporal cascade of transcriptional activity inferred from mRNA expression data and protein reporter data in the core circadian clock in Arabidopsis thaliana, and how such reconstructed transcription profiles can be used to study the effects of different cell lines and conditions. CONCLUSIONS: The ReTrOS toolbox allows users to analyse gene and/or protein expression time series where, with appropriate formulation of prior information about a minimum of kinetic parameters, in particular rates of degradation, users are able to infer timings of changes in transcriptional activity. Data from any organism and obtained from a range of technologies can be used as input due to the flexible and generic nature of the model and implementation. The output from this software provides a useful analysis of time series data and can be incorporated into further modelling approaches or in hypothesis generation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-017-1695-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-54857152017-07-03 ReTrOS: a MATLAB toolbox for reconstructing transcriptional activity from gene and protein expression data Minas, Giorgos Momiji, Hiroshi Jenkins, Dafyd J. Costa, Maria J. Rand, David A. Finkenstädt, Bärbel BMC Bioinformatics Software BACKGROUND: Given the development of high-throughput experimental techniques, an increasing number of whole genome transcription profiling time series data sets, with good temporal resolution, are becoming available to researchers. The ReTrOS toolbox (Reconstructing Transcription Open Software) provides MATLAB-based implementations of two related methods, namely ReTrOS–Smooth and ReTrOS–Switch, for reconstructing the temporal transcriptional activity profile of a gene from given mRNA expression time series or protein reporter time series. The methods are based on fitting a differential equation model incorporating the processes of transcription, translation and degradation. RESULTS: The toolbox provides a framework for model fitting along with statistical analyses of the model with a graphical interface and model visualisation. We highlight several applications of the toolbox, including the reconstruction of the temporal cascade of transcriptional activity inferred from mRNA expression data and protein reporter data in the core circadian clock in Arabidopsis thaliana, and how such reconstructed transcription profiles can be used to study the effects of different cell lines and conditions. CONCLUSIONS: The ReTrOS toolbox allows users to analyse gene and/or protein expression time series where, with appropriate formulation of prior information about a minimum of kinetic parameters, in particular rates of degradation, users are able to infer timings of changes in transcriptional activity. Data from any organism and obtained from a range of technologies can be used as input due to the flexible and generic nature of the model and implementation. The output from this software provides a useful analysis of time series data and can be incorporated into further modelling approaches or in hypothesis generation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-017-1695-8) contains supplementary material, which is available to authorized users. BioMed Central 2017-06-26 /pmc/articles/PMC5485715/ /pubmed/28651569 http://dx.doi.org/10.1186/s12859-017-1695-8 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software
Minas, Giorgos
Momiji, Hiroshi
Jenkins, Dafyd J.
Costa, Maria J.
Rand, David A.
Finkenstädt, Bärbel
ReTrOS: a MATLAB toolbox for reconstructing transcriptional activity from gene and protein expression data
title ReTrOS: a MATLAB toolbox for reconstructing transcriptional activity from gene and protein expression data
title_full ReTrOS: a MATLAB toolbox for reconstructing transcriptional activity from gene and protein expression data
title_fullStr ReTrOS: a MATLAB toolbox for reconstructing transcriptional activity from gene and protein expression data
title_full_unstemmed ReTrOS: a MATLAB toolbox for reconstructing transcriptional activity from gene and protein expression data
title_short ReTrOS: a MATLAB toolbox for reconstructing transcriptional activity from gene and protein expression data
title_sort retros: a matlab toolbox for reconstructing transcriptional activity from gene and protein expression data
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5485715/
https://www.ncbi.nlm.nih.gov/pubmed/28651569
http://dx.doi.org/10.1186/s12859-017-1695-8
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