A methodology for elucidating regulatory mechanisms leading to changes in lipid profiles

Introduction It is difficult to elucidate the metabolic and regulatory factors causing lipidome perturbations. Objectives This work simplifies this process. Methods A method has been developed to query an online holistic lipid metabolic network (of 7923 metabolites) to extract the pathways t...

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Main Authors: Casbas-Pinto, Ferran, Ravipati, Srinivarao, Barrett, David A., Hodgman, Charlie
Format: Article
Published: Springer 2017
Online Access:https://eprints.nottingham.ac.uk/42506/
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author Casbas-Pinto, Ferran
Ravipati, Srinivarao
Barrett, David A.
Hodgman, Charlie
author_facet Casbas-Pinto, Ferran
Ravipati, Srinivarao
Barrett, David A.
Hodgman, Charlie
author_sort Casbas-Pinto, Ferran
building Nottingham Research Data Repository
collection Online Access
description Introduction It is difficult to elucidate the metabolic and regulatory factors causing lipidome perturbations. Objectives This work simplifies this process. Methods A method has been developed to query an online holistic lipid metabolic network (of 7923 metabolites) to extract the pathways that connect the input list of lipids. Results The output enables pathway visualisation and the querying of other databases to identify potential regulators. When used to a study a plasma lipidome dataset of polycystic ovary syndrome, 14 enzymes were identified, of which 3 are linked to ELAVL1—an mRNA stabiliser. Conclusion This method provides a simplified approach to identifying potential regulators causing lipid-profile perturbations.
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spelling nottingham-425062020-05-04T18:47:30Z https://eprints.nottingham.ac.uk/42506/ A methodology for elucidating regulatory mechanisms leading to changes in lipid profiles Casbas-Pinto, Ferran Ravipati, Srinivarao Barrett, David A. Hodgman, Charlie Introduction It is difficult to elucidate the metabolic and regulatory factors causing lipidome perturbations. Objectives This work simplifies this process. Methods A method has been developed to query an online holistic lipid metabolic network (of 7923 metabolites) to extract the pathways that connect the input list of lipids. Results The output enables pathway visualisation and the querying of other databases to identify potential regulators. When used to a study a plasma lipidome dataset of polycystic ovary syndrome, 14 enzymes were identified, of which 3 are linked to ELAVL1—an mRNA stabiliser. Conclusion This method provides a simplified approach to identifying potential regulators causing lipid-profile perturbations. Springer 2017-05-29 Article PeerReviewed Casbas-Pinto, Ferran, Ravipati, Srinivarao, Barrett, David A. and Hodgman, Charlie (2017) A methodology for elucidating regulatory mechanisms leading to changes in lipid profiles. Metabolomics, 13 . 81/1-81/4. ISSN 1573-3890 https://link.springer.com/article/10.1007%2Fs11306-017-1214-y doi:10.1007/s11306-017-1214-y doi:10.1007/s11306-017-1214-y
spellingShingle Casbas-Pinto, Ferran
Ravipati, Srinivarao
Barrett, David A.
Hodgman, Charlie
A methodology for elucidating regulatory mechanisms leading to changes in lipid profiles
title A methodology for elucidating regulatory mechanisms leading to changes in lipid profiles
title_full A methodology for elucidating regulatory mechanisms leading to changes in lipid profiles
title_fullStr A methodology for elucidating regulatory mechanisms leading to changes in lipid profiles
title_full_unstemmed A methodology for elucidating regulatory mechanisms leading to changes in lipid profiles
title_short A methodology for elucidating regulatory mechanisms leading to changes in lipid profiles
title_sort methodology for elucidating regulatory mechanisms leading to changes in lipid profiles
url https://eprints.nottingham.ac.uk/42506/
https://eprints.nottingham.ac.uk/42506/
https://eprints.nottingham.ac.uk/42506/