Literature DB >> 28239968

Training in metabolomics research. II. Processing and statistical analysis of metabolomics data, metabolite identification, pathway analysis, applications of metabolomics and its future.

Stephen Barnes1,2,3, H Paul Benton4, Krista Casazza5, Sara J Cooper6, Xiangqin Cui7, Xiuxia Du8, Jeffrey Engler1, Janusz H Kabarowski9, Shuzhao Li10, Wimal Pathmasiri11, Jeevan K Prasain2,3, Matthew B Renfrow1, Hemant K Tiwari7.   

Abstract

Metabolomics, a systems biology discipline representing analysis of known and unknown pathways of metabolism, has grown tremendously over the past 20 years. Because of its comprehensive nature, metabolomics requires careful consideration of the question(s) being asked, the scale needed to answer the question(s), collection and storage of the sample specimens, methods for extraction of the metabolites from biological matrices, the analytical method(s) to be employed and the quality control of the analyses, how collected data are correlated, the statistical methods to determine metabolites undergoing significant change, putative identification of metabolites and the use of stable isotopes to aid in verifying metabolite identity and establishing pathway connections and fluxes. This second part of a comprehensive description of the methods of metabolomics focuses on data analysis, emerging methods in metabolomics and the future of this discipline.
Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Entities:  

Keywords:  data pre-processing; imaging metabolomics; isotopic labeling; multivariate analysis; pathway; univariate analysis

Mesh:

Substances:

Year:  2016        PMID: 28239968      PMCID: PMC5584587          DOI: 10.1002/jms.3780

Source DB:  PubMed          Journal:  J Mass Spectrom        ISSN: 1076-5174            Impact factor:   1.982


  63 in total

1.  Electrospray post-ionization mass spectrometry of electrosurgical aerosols.

Authors:  Sabine Guenther; Karl-Christian Schäfer; Júlia Balog; Júlia Dénes; Tamás Majoros; Katalin Albrecht; Miklós Tóth; Bernhard Spengler; Zoltán Takáts
Journal:  J Am Soc Mass Spectrom       Date:  2011-09-03       Impact factor: 3.109

2.  Desorption electrospray ionization mass spectrometry: Imaging drugs and metabolites in tissues.

Authors:  Justin M Wiseman; Demian R Ifa; Yongxin Zhu; Candice B Kissinger; Nicholas E Manicke; Peter T Kissinger; R Graham Cooks
Journal:  Proc Natl Acad Sci U S A       Date:  2008-08-12       Impact factor: 11.205

3.  Early lipid changes in acute kidney injury using SWATH lipidomics coupled with MALDI tissue imaging.

Authors:  Sangeetha Rao; Kelly B Walters; Landon Wilson; Bo Chen; Subhashini Bolisetty; David Graves; Stephen Barnes; Anupam Agarwal; Janusz H Kabarowski
Journal:  Am J Physiol Renal Physiol       Date:  2016-02-24

4.  MetFusion: integration of compound identification strategies.

Authors:  Michael Gerlich; Steffen Neumann
Journal:  J Mass Spectrom       Date:  2013-03       Impact factor: 1.982

5.  The contributions of sex, genotype and age to transcriptional variance in Drosophila melanogaster.

Authors:  W Jin; R M Riley; R D Wolfinger; K P White; G Passador-Gurgel; G Gibson
Journal:  Nat Genet       Date:  2001-12       Impact factor: 38.330

6.  metaXCMS: second-order analysis of untargeted metabolomics data.

Authors:  Ralf Tautenhahn; Gary J Patti; Ewa Kalisiak; Takashi Miyamoto; Manuela Schmidt; Fang Yin Lo; Joshua McBee; Nitin S Baliga; Gary Siuzdak
Journal:  Anal Chem       Date:  2010-12-21       Impact factor: 6.986

7.  Mass spectrometric methods for the analysis of chlorinated and nitrated isoflavonoids: a novel class of biological metabolites.

Authors:  Jeevan K Prasain; Rakesh Patel; Marion Kirk; Landon Wilson; Nigel Botting; Victor M Darley-Usmar; Stephen Barnes
Journal:  J Mass Spectrom       Date:  2003-07       Impact factor: 1.982

8.  Enhanced lipid isomer separation in human plasma using reversed-phase UPLC with ion-mobility/high-resolution MS detection.

Authors:  Carola W N Damen; Giorgis Isaac; James Langridge; Thomas Hankemeier; Rob J Vreeken
Journal:  J Lipid Res       Date:  2014-06-02       Impact factor: 5.922

9.  MetaboAnalyst 3.0--making metabolomics more meaningful.

Authors:  Jianguo Xia; Igor V Sinelnikov; Beomsoo Han; David S Wishart
Journal:  Nucleic Acids Res       Date:  2015-04-20       Impact factor: 16.971

10.  Effects of age, sex, and genotype on high-sensitivity metabolomic profiles in the fruit fly, Drosophila melanogaster.

Authors:  Jessica M Hoffman; Quinlyn A Soltow; Shuzhao Li; Alfire Sidik; Dean P Jones; Daniel E L Promislow
Journal:  Aging Cell       Date:  2014-03-18       Impact factor: 9.304

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  14 in total

1.  Understanding mixed environmental exposures using metabolomics via a hierarchical community network model in a cohort of California women in 1960's.

Authors:  Shuzhao Li; Piera Cirillo; Xin Hu; ViLinh Tran; Nickilou Krigbaum; Shaojun Yu; Dean P Jones; Barbara Cohn
Journal:  Reprod Toxicol       Date:  2019-07-09       Impact factor: 3.143

2.  Human Plasma Metabolomics Study across All Stages of Age-Related Macular Degeneration Identifies Potential Lipid Biomarkers.

Authors:  Inês Laíns; Rachel S Kelly; John B Miller; Rufino Silva; Demetrios G Vavvas; Ivana K Kim; Joaquim N Murta; Jessica Lasky-Su; Joan W Miller; Deeba Husain
Journal:  Ophthalmology       Date:  2017-09-12       Impact factor: 12.079

Review 3.  Non-targeted metabolomics and associations with per- and polyfluoroalkyl substances (PFAS) exposure in humans: A scoping review.

Authors:  Pengfei Guo; Tristan Furnary; Vasilis Vasiliou; Qi Yan; Kate Nyhan; Dean P Jones; Caroline H Johnson; Zeyan Liew
Journal:  Environ Int       Date:  2022-02-26       Impact factor: 9.621

4.  Quantitative Comparison of Statistical Methods for Analyzing Human Metabolomics Data.

Authors:  Mir Henglin; Brian L Claggett; Joseph Antonelli; Mona Alotaibi; Gino Alberto Magalang; Jeramie D Watrous; Kim A Lagerborg; Gavin Ovsak; Gabriel Musso; Olga V Demler; Ramachandran S Vasan; Martin G Larson; Mohit Jain; Susan Cheng
Journal:  Metabolites       Date:  2022-06-04

5.  Evaluation of a ketogenic diet for improvement of neurological recovery in individuals with acute spinal cord injury: a pilot, randomized safety and feasibility trial.

Authors:  Ceren Yarar-Fisher; Adarsh Kulkarni; Jia Li; Paige Farley; Cassandra Renfro; Hammad Aslam; Patrick Bosarge; Landon Wilson; Stephen Barnes
Journal:  Spinal Cord Ser Cases       Date:  2018-09-21

Review 6.  UAB-UCSD O'Brien Center for Acute Kidney Injury Research.

Authors:  Lisa M Curtis; James George; Volker Vallon; Stephen Barnes; Victor Darley-Usmar; Sucheta Vaingankar; Gary R Cutter; Orlando M Gutierrez; Michael Seifert; Joachim H Ix; Ravindra L Mehta; Paul W Sanders; Anupam Agarwal
Journal:  Am J Physiol Renal Physiol       Date:  2021-03-29

7.  Bioengineered models of Parkinson's disease using patient-derived dopaminergic neurons exhibit distinct biological profiles in a 3D microenvironment.

Authors:  Nicholas J Fiore; Yosif M Ganat; Kapil Devkota; Rebecca Batorsky; Ming Lei; Kyongbum Lee; Lenore J Cowen; Gist Croft; Scott A Noggle; Thomas J F Nieland; David L Kaplan
Journal:  Cell Mol Life Sci       Date:  2022-01-19       Impact factor: 9.261

8.  Plasma N-acetylputrescine, cadaverine and 1,3-diaminopropane: potential biomarkers of lung cancer used to evaluate the efficacy of anticancer drugs.

Authors:  Ran Liu; Pei Li; Cathy Wenchuan Bi; Ran Ma; Yidi Yin; Kaishun Bi; Qing Li
Journal:  Oncotarget       Date:  2017-07-17

9.  Toxicometabolomics of the new psychoactive substances α-PBP and α-PEP studied in HepaRG cell incubates by means of untargeted metabolomics revealed unexpected amino acid adducts.

Authors:  Sascha K Manier; Lea Wagmann; Veit Flockerzi; Markus R Meyer
Journal:  Arch Toxicol       Date:  2020-04-20       Impact factor: 5.153

10.  Targeted Blood Metabolomic Study on Retinopathy of Prematurity.

Authors:  Yuhang Yang; Zhenquan Wu; Sitao Li; Mingmin Yang; Xin Xiao; Chaohui Lian; Wei Wen; Honghui He; Jian Zeng; Jiantao Wang; Guoming Zhang
Journal:  Invest Ophthalmol Vis Sci       Date:  2020-02-07       Impact factor: 4.799

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