Literature DB >> 33564392

BioPAN: a web-based tool to explore mammalian lipidome metabolic pathways on LIPID MAPS.

Caroline Gaud1, Bebiana C Sousa2, An Nguyen1, Maria Fedorova3, Zhixu Ni3, Valerie B O'Donnell4, Michael J O Wakelam2, Simon Andrews1, Andrea F Lopez-Clavijo2.   

Abstract

Lipidomics increasingly describes the quantitation using mass spectrometry of all lipids present in a biological sample.  As the power of lipidomics protocols increase, thousands of lipid molecular species from multiple categories can now be profiled in a single experiment.  Observed changes due to biological differences often encompass large numbers of structurally-related lipids, with these being regulated by enzymes from well-known metabolic pathways.  As lipidomics datasets increase in complexity, the interpretation of their results becomes more challenging.  BioPAN addresses this by enabling the researcher to visualise quantitative lipidomics data in the context of known biosynthetic pathways.  BioPAN provides a list of genes, which could be involved in the activation or suppression of enzymes catalysing lipid metabolism in mammalian tissues. Copyright:
© 2021 Gaud C et al.

Entities:  

Keywords:  Biosynthetic pathway analysis; LIPID MAPS; Lipidomics; lipid profiling.; lipids

Year:  2021        PMID: 33564392      PMCID: PMC7848852          DOI: 10.12688/f1000research.28022.1

Source DB:  PubMed          Journal:  F1000Res        ISSN: 2046-1402


  16 in total

Review 1.  A comprehensive classification system for lipids.

Authors:  Eoin Fahy; Shankar Subramaniam; H Alex Brown; Christopher K Glass; Alfred H Merrill; Robert C Murphy; Christian R H Raetz; David W Russell; Yousuke Seyama; Walter Shaw; Takao Shimizu; Friedrich Spener; Gerrit van Meer; Michael S VanNieuwenhze; Stephen H White; Joseph L Witztum; Edward A Dennis
Journal:  J Lipid Res       Date:  2005-02-16       Impact factor: 5.922

2.  LipidHunter Identifies Phospholipids by High-Throughput Processing of LC-MS and Shotgun Lipidomics Datasets.

Authors:  Zhixu Ni; Georgia Angelidou; Mike Lange; Ralf Hoffmann; Maria Fedorova
Journal:  Anal Chem       Date:  2017-08-08       Impact factor: 6.986

3.  Host lipidome analysis during rhinovirus replication in HBECs identifies potential therapeutic targets.

Authors:  An Nguyen; Anabel Guedán; Aurelie Mousnier; Dawid Swieboda; Qifeng Zhang; Dorottya Horkai; Nicolas Le Novere; Roberto Solari; Michael J O Wakelam
Journal:  J Lipid Res       Date:  2018-06-26       Impact factor: 5.922

4.  Lipid Data Analyzer: unattended identification and quantitation of lipids in LC-MS data.

Authors:  Jürgen Hartler; Martin Trötzmüller; Chandramohan Chitraju; Friedrich Spener; Harald C Köfeler; Gerhard G Thallinger
Journal:  Bioinformatics       Date:  2010-12-17       Impact factor: 6.937

5.  Shorthand notation for lipid structures derived from mass spectrometry.

Authors:  Gerhard Liebisch; Juan Antonio Vizcaíno; Harald Köfeler; Martin Trötzmüller; William J Griffiths; Gerd Schmitz; Friedrich Spener; Michael J O Wakelam
Journal:  J Lipid Res       Date:  2013-04-02       Impact factor: 5.922

6.  MS-DIAL: data-independent MS/MS deconvolution for comprehensive metabolome analysis.

Authors:  Hiroshi Tsugawa; Tomas Cajka; Tobias Kind; Yan Ma; Brendan Higgins; Kazutaka Ikeda; Mitsuhiro Kanazawa; Jean VanderGheynst; Oliver Fiehn; Masanori Arita
Journal:  Nat Methods       Date:  2015-05-04       Impact factor: 28.547

7.  Deoxysphingolipids and ether-linked diacylglycerols accumulate in the tissues of aged mice.

Authors:  Ayumi Ando; Masahiro Oka; Yoshinori Satomi
Journal:  Cell Biosci       Date:  2019-08-05       Impact factor: 7.133

8.  A nutritional memory effect counteracts benefits of dietary restriction in old mice.

Authors:  Oliver Hahn; Lisa F Drews; An Nguyen; Takashi Tatsuta; Lisonia Gkioni; Oliver Hendrich; Qifeng Zhang; Thomas Langer; Scott Pletcher; Michael J O Wakelam; Andreas Beyer; Sebastian Grönke; Linda Partridge
Journal:  Nat Metab       Date:  2019-10-21

9.  BioPAN: a web-based tool to explore mammalian lipidome metabolic pathways on LIPID MAPS.

Authors:  Caroline Gaud; Bebiana C Sousa; An Nguyen; Maria Fedorova; Zhixu Ni; Valerie B O'Donnell; Michael J O Wakelam; Simon Andrews; Andrea F Lopez-Clavijo
Journal:  F1000Res       Date:  2021-01-06

10.  Cytoscape.js: a graph theory library for visualisation and analysis.

Authors:  Max Franz; Christian T Lopes; Gerardo Huck; Yue Dong; Onur Sumer; Gary D Bader
Journal:  Bioinformatics       Date:  2015-09-28       Impact factor: 6.937

View more
  5 in total

1.  Chronic Jetlag Alters the Landscape of the Pancreatic Lipidome.

Authors:  Patrick B Schwartz; Gregory A Barrett-Wilt; Sean M Ronnekleiv-Kelly
Journal:  Pancreas       Date:  2022-01-01       Impact factor: 3.243

2.  BioPAN: a web-based tool to explore mammalian lipidome metabolic pathways on LIPID MAPS.

Authors:  Caroline Gaud; Bebiana C Sousa; An Nguyen; Maria Fedorova; Zhixu Ni; Valerie B O'Donnell; Michael J O Wakelam; Simon Andrews; Andrea F Lopez-Clavijo
Journal:  F1000Res       Date:  2021-01-06

Review 3.  A Current Encyclopedia of Bioinformatics Tools, Data Formats and Resources for Mass Spectrometry Lipidomics.

Authors:  Nils Hoffmann; Gerhard Mayer; Canan Has; Dominik Kopczynski; Fadi Al Machot; Dominik Schwudke; Robert Ahrends; Katrin Marcus; Martin Eisenacher; Michael Turewicz
Journal:  Metabolites       Date:  2022-06-23

4.  LipidSig: a web-based tool for lipidomic data analysis.

Authors:  Wen-Jen Lin; Pei-Chun Shen; Hsiu-Cheng Liu; Yi-Chun Cho; Min-Kung Hsu; I-Chen Lin; Fang-Hsin Chen; Juan-Cheng Yang; Wen-Lung Ma; Wei-Chung Cheng
Journal:  Nucleic Acids Res       Date:  2021-07-02       Impact factor: 16.971

Review 5.  The foundations and development of lipidomics.

Authors:  Xianlin Han; Richard W Gross
Journal:  J Lipid Res       Date:  2021-12-22       Impact factor: 5.922

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.