TY - JOUR
T1 - Elucidation of the dynamic nature of interactome networks
T2 - A practical tutorial
AU - Anjo, Sandra I.
AU - Martins-Marques, Tania
AU - Pereira, Paulo
AU - Girão, Henrique
AU - Manadas, Bruno
N1 - Funding Information:
Work supported by Fundação para a Ciência e Tecnologia (FCT), Portugal, projects reference PTDC/SAU-ORG/119296/2010 , PEST-C/SAU/UI3282/2011-COMPETE , PTDC/NEU-NMC/0205/2012 , PTDC/NEU-SCC/7051/2014 , UID/NEU/04539/2013 and POCI-01-0145-FEDER-007440 , and co-financed by “ COMPETE Programa Operacional Factores de Competitividade ” QREN , the European Union (FEDER – Fundo Europeu de Desenvolvimento Regional) and by The National Mass Spectrometry Network (RNEM) under the contract REDE/1506/REM/2005 . SIA and TMM were supported by the PhD fellowships SFRH/BD/81495/2011 and PD/BD/106043/2015, respectively.
Funding Information:
Work supported by Funda??o para a Ci?ncia e Tecnologia (FCT), Portugal, projects reference PTDC/SAU-ORG/119296/2010, PEST-C/SAU/UI3282/2011-COMPETE, PTDC/NEU-NMC/0205/2012, PTDC/NEU-SCC/7051/2014, UID/NEU/04539/2013 and POCI-01-0145-FEDER-007440, and co-financed by ?COMPETE Programa Operacional Factores de Competitividade? QREN, the European Union (FEDER ? Fundo Europeu de Desenvolvimento Regional) and by The National Mass Spectrometry Network (RNEM) under the contract REDE/1506/REM/2005. SIA and TMM were supported by the PhD fellowships SFRH/BD/81495/2011 and PD/BD/106043/2015, respectively.
Publisher Copyright:
© 2017 Elsevier B.V.
PY - 2018/1/16
Y1 - 2018/1/16
N2 - Considering that proteins are usually engaged in complex and dynamic networks of interactions to exert their activity, a way to understand proteins' functions and the molecular mechanisms in which those proteins are involved, is by studying their interactome. In this sense, this tutorial presents a simple pipeline for the analysis of the network of interactions of a protein in order to reach a biological interpretation of the mechanisms modulated by those interactions, and to understand how these interactions are affected by the experimental conditions. The entire pipeline is explained using as example the previously published work “Interacting network of the gap junction protein connexin43 is modulated by ischemia and reperfusion in the heart”, and by using user-friendly and freely available software. Moreover, the pipeline presented in this article is not limited to interactomic approaches, being also useful for the analysis of dynamic alterations of other proteomic screenings. Significance This tutorial presents a simplified pipeline for the analysis of the network of interactions of a protein in order to reach to a biological interpretation of the mechanisms modulated by those interactions, which constitutes an important way to understand proteins' functions and the molecular mechanisms in which those proteins are involved. Moreover, when interactomics is applied to perform an in-depth molecular analysis of novel disease proteins, it can result in an understanding of disease-causing mechanisms and create drug discovery opportunities. Nevertheless, the pipeline presented can be also useful for the analysis of dynamic alterations of other biomolecules.
AB - Considering that proteins are usually engaged in complex and dynamic networks of interactions to exert their activity, a way to understand proteins' functions and the molecular mechanisms in which those proteins are involved, is by studying their interactome. In this sense, this tutorial presents a simple pipeline for the analysis of the network of interactions of a protein in order to reach a biological interpretation of the mechanisms modulated by those interactions, and to understand how these interactions are affected by the experimental conditions. The entire pipeline is explained using as example the previously published work “Interacting network of the gap junction protein connexin43 is modulated by ischemia and reperfusion in the heart”, and by using user-friendly and freely available software. Moreover, the pipeline presented in this article is not limited to interactomic approaches, being also useful for the analysis of dynamic alterations of other proteomic screenings. Significance This tutorial presents a simplified pipeline for the analysis of the network of interactions of a protein in order to reach to a biological interpretation of the mechanisms modulated by those interactions, which constitutes an important way to understand proteins' functions and the molecular mechanisms in which those proteins are involved. Moreover, when interactomics is applied to perform an in-depth molecular analysis of novel disease proteins, it can result in an understanding of disease-causing mechanisms and create drug discovery opportunities. Nevertheless, the pipeline presented can be also useful for the analysis of dynamic alterations of other biomolecules.
KW - AP-SWATH
KW - Biological interpretation
KW - Clustering analysis
KW - Dynamic interactomics
KW - Practical tutorial
UR - http://www.scopus.com/inward/record.url?scp=85018674162&partnerID=8YFLogxK
U2 - 10.1016/j.jprot.2017.04.011
DO - 10.1016/j.jprot.2017.04.011
M3 - Review article
C2 - 28433760
AN - SCOPUS:85018674162
SN - 1874-3919
VL - 171
SP - 116
EP - 126
JO - Journal of Proteomics
JF - Journal of Proteomics
ER -