Literature DB >> 24753485

MRMPROBS suite for metabolomics using large-scale MRM assays.

Hiroshi Tsugawa1, Mitsuhiro Kanazawa2, Atsushi Ogiwara2, Masanori Arita1.   

Abstract

UNLABELLED: We developed new software environment for the metabolome analysis of large-scale multiple reaction monitoring (MRM) assays. It supports the data format of four major mass spectrometer vendors and mzML common data format. This program provides a process pipeline from the raw-format import to high-dimensional statistical analyses. The novel aspect is graphical user interface-based visualization to perform peak quantification, to interpolate missing values and to normalize peaks interactively based on quality control samples. Together with the software platform, the MRM standard library of 301 metabolites with 775 transitions is also available, which contributes to the reliable peak identification by using retention time and ion abundances.
AVAILABILITY AND IMPLEMENTATION: MRMPROBS is available for Windows OS under the creative-commons by-attribution license at http://prime.psc.riken.jp.
© The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

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Year:  2014        PMID: 24753485     DOI: 10.1093/bioinformatics/btu203

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  18 in total

1.  Skyline for Small Molecules: A Unifying Software Package for Quantitative Metabolomics.

Authors:  Kendra J Adams; Brian Pratt; Neelanjan Bose; Laura G Dubois; Lisa St John-Williams; Kevin M Perrott; Karina Ky; Pankaj Kapahi; Vagisha Sharma; Michael J MacCoss; M Arthur Moseley; Carol A Colton; Brendan X MacLean; Birgit Schilling; J Will Thompson
Journal:  J Proteome Res       Date:  2020-03-26       Impact factor: 4.466

2.  Evaluation of intensity drift correction strategies using MetaboDrift, a normalization tool for multi-batch metabolomics data.

Authors:  Chanisa Thonusin; Heidi B IglayReger; Tanu Soni; Amy E Rothberg; Charles F Burant; Charles R Evans
Journal:  J Chromatogr A       Date:  2017-09-09       Impact factor: 4.759

3.  Effects of extraction parameters on lipid profiling of mosses using UPLC-ESI-QTOF-MS and multivariate data analysis.

Authors:  Yi Lu; Finnur Freyr Eiriksson; Margrét Thorsteinsdóttir; Henrik Toft Simonsen
Journal:  Metabolomics       Date:  2021-10-20       Impact factor: 4.290

4.  Targeted LC-MS/MS-based metabolomics and lipidomics on limited hematopoietic stem cell numbers.

Authors:  Katharina Schönberger; Michael Mitterer; Joerg M Buescher; Nina Cabezas-Wallscheid
Journal:  STAR Protoc       Date:  2022-05-19

5.  PERK is a critical metabolic hub for immunosuppressive function in macrophages.

Authors:  Lydia N Raines; Haoxin Zhao; Yuzhu Wang; Heng-Yi Chen; Hector Gallart-Ayala; Pei-Chun Hsueh; Wei Cao; Yeojung Koh; Ana Alamonte-Loya; Pu-Ste Liu; Julijana Ivanisevic; Chan-Wang Jerry Lio; Ping-Chih Ho; Stanley Ching-Cheng Huang
Journal:  Nat Immunol       Date:  2022-02-28       Impact factor: 31.250

6.  XCMS-MRM and METLIN-MRM: a cloud library and public resource for targeted analysis of small molecules.

Authors:  Xavier Domingo-Almenara; J Rafael Montenegro-Burke; Julijana Ivanisevic; Aurelien Thomas; Jonathan Sidibé; Tony Teav; Carlos Guijas; Aries E Aisporna; Duane Rinehart; Linh Hoang; Anders Nordström; María Gómez-Romero; Luke Whiley; Matthew R Lewis; Jeremy K Nicholson; H Paul Benton; Gary Siuzdak
Journal:  Nat Methods       Date:  2018-08-27       Impact factor: 28.547

7.  TRACES: A Lightweight Browser for Liquid Chromatography-Multiple Reaction Monitoring-Mass Spectrometry Chromatograms.

Authors:  Yoshihiro Kita; Suzumi M Tokuoka; Yoshiya Oda; Takao Shimizu
Journal:  Metabolites       Date:  2022-04-15

8.  MRM-DIFF: data processing strategy for differential analysis in large scale MRM-based lipidomics studies.

Authors:  Hiroshi Tsugawa; Erika Ohta; Yoshihiro Izumi; Atsushi Ogiwara; Daichi Yukihira; Takeshi Bamba; Eiichiro Fukusaki; Masanori Arita
Journal:  Front Genet       Date:  2015-01-30       Impact factor: 4.599

9.  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

10.  Analytical challenges of untargeted GC-MS-based metabolomics and the critical issues in selecting the data processing strategy.

Authors:  Ting-Li Han; Yang Yang; Hua Zhang; Kai P Law
Journal:  F1000Res       Date:  2017-06-22
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