Literature DB >> 20601091

Cell culture metabolomics: applications and future directions.

Miroslava Cuperlović-Culf1, David A Barnett, Adrian S Culf, Ian Chute.   

Abstract

Metabolomics represents a global quantitative assessment of metabolites within a biological system. The metabolic analysis of cell cultures has many potential applications and advantages to currently used methods for cell line testing. Metabolite concentrations represent sensitive markers of both genomic and phenotypic changes. Consequently, the development of robust metabolomic platforms will greatly facilitate various applications of cell cultures - including, for example, the understanding of the in vitro and in vivo actions of drugs - and aid in their rapid incorporation into novel therapeutic settings. In addition, metabolomic analysis of cell lines provides information, either independently or in conjunction with other omics measurements, essential for system level analysis and modeling of biological systems. This review outlines some of the applications of metabolomics in cell culture analysis and some of the issues that need to be addressed to make this approach more relevant.

Mesh:

Substances:

Year:  2010        PMID: 20601091     DOI: 10.1016/j.drudis.2010.06.012

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  52 in total

Review 1.  Cell metabolomics.

Authors:  Aihua Zhang; Hui Sun; Hongying Xu; Shi Qiu; Xijun Wang
Journal:  OMICS       Date:  2013-08-29

2.  NMR-based metabolomics of mammalian cell and tissue cultures.

Authors:  Nelly Aranibar; Michael Borys; Nancy A Mackin; Van Ly; Nicholas Abu-Absi; Susan Abu-Absi; Matthias Niemitz; Bernhard Schilling; Zheng Jian Li; Barry Brock; Reb J Russell; Adrienne Tymiak; Michael D Reily
Journal:  J Biomol NMR       Date:  2011-03-04       Impact factor: 2.835

3.  Nephron Toxicity Profiling via Untargeted Metabolome Analysis Employing a High Performance Liquid Chromatography-Mass Spectrometry-based Experimental and Computational Pipeline.

Authors:  Christina Ranninger; Marc Rurik; Alice Limonciel; Silke Ruzek; Roland Reischl; Anja Wilmes; Paul Jennings; Philip Hewitt; Wolfgang Dekant; Oliver Kohlbacher; Christian G Huber
Journal:  J Biol Chem       Date:  2015-06-08       Impact factor: 5.157

Review 4.  Experimental design and reporting standards for metabolomics studies of mammalian cell lines.

Authors:  Sarah Hayton; Garth L Maker; Ian Mullaney; Robert D Trengove
Journal:  Cell Mol Life Sci       Date:  2017-07-01       Impact factor: 9.261

Review 5.  NMR-based metabolomics studies of human prostate cancer tissue.

Authors:  Ana Rita Lima; Joana Pinto; Maria de Lourdes Bastos; Márcia Carvalho; Paula Guedes de Pinho
Journal:  Metabolomics       Date:  2018-06-18       Impact factor: 4.290

Review 6.  Online tools for bioinformatics analyses in nutrition sciences.

Authors:  Sridhar A Malkaram; Yousef I Hassan; Janos Zempleni
Journal:  Adv Nutr       Date:  2012-09-01       Impact factor: 8.701

Review 7.  Application of metabolomics in sarcoma: From biomarkers to therapeutic targets.

Authors:  Li Min; Edwin Choy; Chongqi Tu; Francis Hornicek; Zhenfeng Duan
Journal:  Crit Rev Oncol Hematol       Date:  2017-05-13       Impact factor: 6.312

8.  Integrated Metabolomics, Transcriptomics and Proteomics Identifies Metabolic Pathways Affected by Anaplasma phagocytophilum Infection in Tick Cells.

Authors:  Margarita Villar; Nieves Ayllón; Pilar Alberdi; Andrés Moreno; María Moreno; Raquel Tobes; Lourdes Mateos-Hernández; Sabine Weisheit; Lesley Bell-Sakyi; José de la Fuente
Journal:  Mol Cell Proteomics       Date:  2015-09-30       Impact factor: 5.911

9.  Revisiting Protocols for the NMR Analysis of Bacterial Metabolomes.

Authors:  Steven Halouska; Bo Zhang; Rosmarie Gaupp; Shulei Lei; Emily Snell; Robert J Fenton; Raul G Barletta; Greg A Somerville; Robert Powers
Journal:  J Integr OMICS       Date:  2013-12

10.  Distinct Metabolic Signature of Human Bladder Cancer Cells Carrying an Impaired Fanconi Anemia Tumor-Suppressor Signaling Pathway.

Authors:  Jayabal Panneerselvam; Guoxiang Xie; Raymond Che; Mingming Su; Jun Zhang; Wei Jia; Peiwen Fei
Journal:  J Proteome Res       Date:  2016-03-16       Impact factor: 4.466

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.