Literature DB >> 35715522

Using MetaboAnalyst 5.0 for LC-HRMS spectra processing, multi-omics integration and covariate adjustment of global metabolomics data.

Zhiqiang Pang1, Guangyan Zhou1, Jessica Ewald2, Le Chang3, Orcun Hacariz1, Niladri Basu2, Jianguo Xia4,5.   

Abstract

Liquid chromatography coupled with high-resolution mass spectrometry (LC-HRMS) has become a workhorse in global metabolomics studies with growing applications across biomedical and environmental sciences. However, outstanding bioinformatics challenges in terms of data processing, statistical analysis and functional interpretation remain critical barriers to the wider adoption of this technology. To help the user community overcome these barriers, we have made major updates to the well-established MetaboAnalyst platform ( www.metaboanalyst.ca ). This protocol extends the previous 2011 Nature Protocol by providing stepwise instructions on how to use MetaboAnalyst 5.0 to: optimize parameters for LC-HRMS spectra processing; obtain functional insights from peak list data; integrate metabolomics data with transcriptomics data or combine multiple metabolomics datasets; conduct exploratory statistical analysis with complex metadata. Parameter optimization may take ~2 h to complete depending on the server load, and the remaining three stages may be executed in ~60 min.
© 2022. Springer Nature Limited.

Entities:  

Mesh:

Year:  2022        PMID: 35715522     DOI: 10.1038/s41596-022-00710-w

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   17.021


  54 in total

Review 1.  Toward Merging Untargeted and Targeted Methods in Mass Spectrometry-Based Metabolomics and Lipidomics.

Authors:  Tomas Cajka; Oliver Fiehn
Journal:  Anal Chem       Date:  2015-12-16       Impact factor: 6.986

2.  Global metabolic profiling of animal and human tissues via UPLC-MS.

Authors:  Elizabeth J Want; Perrine Masson; Filippos Michopoulos; Ian D Wilson; Georgios Theodoridis; Robert S Plumb; John Shockcor; Neil Loftus; Elaine Holmes; Jeremy K Nicholson
Journal:  Nat Protoc       Date:  2012-12-06       Impact factor: 13.491

Review 3.  Metabolomics 20 years on: what have we learned and what hurdles remain?

Authors:  Saleh Alseekh; Alisdair R Fernie
Journal:  Plant J       Date:  2018-06       Impact factor: 6.417

4.  Using MicrobiomeAnalyst for comprehensive statistical, functional, and meta-analysis of microbiome data.

Authors:  Jasmine Chong; Peng Liu; Guangyan Zhou; Jianguo Xia
Journal:  Nat Protoc       Date:  2020-01-15       Impact factor: 13.491

Review 5.  The exposome and health: Where chemistry meets biology.

Authors:  Roel Vermeulen; Emma L Schymanski; Albert-László Barabási; Gary W Miller
Journal:  Science       Date:  2020-01-24       Impact factor: 47.728

6.  MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights.

Authors:  Zhiqiang Pang; Jasmine Chong; Guangyan Zhou; David Anderson de Lima Morais; Le Chang; Michel Barrette; Carol Gauthier; Pierre-Étienne Jacques; Shuzhao Li; Jianguo Xia
Journal:  Nucleic Acids Res       Date:  2021-05-21       Impact factor: 16.971

Review 7.  Mass spectrometry-based metabolomics: a guide for annotation, quantification and best reporting practices.

Authors:  Saleh Alseekh; Asaph Aharoni; Yariv Brotman; Kévin Contrepois; John D'Auria; Jan Ewald; Jennifer C Ewald; Paul D Fraser; Patrick Giavalisco; Robert D Hall; Matthias Heinemann; Hannes Link; Jie Luo; Steffen Neumann; Jens Nielsen; Leonardo Perez de Souza; Kazuki Saito; Uwe Sauer; Frank C Schroeder; Stefan Schuster; Gary Siuzdak; Aleksandra Skirycz; Lloyd W Sumner; Michael P Snyder; Huiru Tang; Takayuki Tohge; Yulan Wang; Weiwei Wen; Si Wu; Guowang Xu; Nicola Zamboni; Alisdair R Fernie
Journal:  Nat Methods       Date:  2021-07-08       Impact factor: 47.990

8.  Metabolomics enables precision medicine: "A White Paper, Community Perspective".

Authors:  Richard D Beger; Warwick Dunn; Michael A Schmidt; Steven S Gross; Jennifer A Kirwan; Marta Cascante; Lorraine Brennan; David S Wishart; Matej Oresic; Thomas Hankemeier; David I Broadhurst; Andrew N Lane; Karsten Suhre; Gabi Kastenmüller; Susan J Sumner; Ines Thiele; Oliver Fiehn; Rima Kaddurah-Daouk
Journal:  Metabolomics       Date:  2016-09-02       Impact factor: 4.290

9.  NetworkAnalyst 3.0: a visual analytics platform for comprehensive gene expression profiling and meta-analysis.

Authors:  Guangyan Zhou; Othman Soufan; Jessica Ewald; Robert E W Hancock; Niladri Basu; Jianguo Xia
Journal:  Nucleic Acids Res       Date:  2019-07-02       Impact factor: 16.971

10.  MetaboAnalyst: a web server for metabolomic data analysis and interpretation.

Authors:  Jianguo Xia; Nick Psychogios; Nelson Young; David S Wishart
Journal:  Nucleic Acids Res       Date:  2009-05-08       Impact factor: 16.971

View more
  5 in total

1.  The Impact of Severe COVID-19 on Plasma Antioxidants.

Authors:  Neven Žarković; Anna Jastrząb; Iwona Jarocka-Karpowicz; Biserka Orehovec; Bruno Baršić; Marko Tarle; Marta Kmet; Ivica Lukšić; Wojciech Łuczaj; Elżbieta Skrzydlewska
Journal:  Molecules       Date:  2022-08-21       Impact factor: 4.927

2.  Intermediate Hair Follicles from Patients with Female Pattern Hair Loss Are Associated with Nutrient Insufficiency and a Quiescent Metabolic Phenotype.

Authors:  Ilaria Piccini; Marta Sousa; Sabrina Altendorf; Francisco Jimenez; Alfredo Rossi; Wolfgang Funk; Tamás Bíró; Ralf Paus; Jens Seibel; Mira Jakobs; Tanju Yesilkaya; Janin Edelkamp; Marta Bertolini
Journal:  Nutrients       Date:  2022-08-16       Impact factor: 6.706

3.  A Direct Infusion Probe for Rapid Metabolomics of Low-Volume Samples.

Authors:  Cátia Marques; Liangwen Liu; Kyle D Duncan; Ingela Lanekoff
Journal:  Anal Chem       Date:  2022-09-07       Impact factor: 8.008

4.  Transcriptome and Metabolome Analyses Provide Insights into the Flavonoid Accumulation in Peels of Citrus reticulata 'Chachi'.

Authors:  Jianmu Su; Tianhua Peng; Mei Bai; Haiyi Bai; Huisi Li; Huimin Pan; Hanjun He; Huan Liu; Hong Wu
Journal:  Molecules       Date:  2022-10-01       Impact factor: 4.927

5.  Toward practical transparent verifiable and long-term reproducible research using Guix.

Authors:  Nicolas Vallet; David Michonneau; Simon Tournier
Journal:  Sci Data       Date:  2022-10-04       Impact factor: 8.501

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.