Ferran Casbas Pinto
A methodology for elucidating regulatory mechanisms leading to changes in lipid profiles
Casbas Pinto, Ferran; Ravipati, Srinivarao; Barrett, David A.; Hodgman, Charlie
SRINIVASARAO RAVIPATI email@example.com
David A. Barrett
Charlie Hodgman Charlie.Hodgman@nottingham.ac.uk
It is difficult to elucidate the metabolic and regulatory factors causing lipidome perturbations.
This work simplifies this process.
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.
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.
This method provides a simplified approach to identifying potential regulators causing lipid-profile perturbations.
|Journal Article Type||Article|
|Peer Reviewed||Peer Reviewed|
|APA6 Citation||Casbas Pinto, F., Ravipati, S., Barrett, D. A., & Hodgman, C. (2017). A methodology for elucidating regulatory mechanisms leading to changes in lipid profiles. Metabolomics, 13(7), https://doi.org/10.1007/s11306-017-1214-y|
|Copyright Statement||Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0|
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0