Literature DB >> 28467092

Metabolomics-Proteomics Combined Approach Identifies Differential Metabolism-Associated Molecular Events between Senescence and Apoptosis.

Mengqiu Wu1, Hui Ye1, Chang Shao1, Xiao Zheng1, Qingran Li1, Lin Wang1, Min Zhao1, Gaoyuan Lu1, Baoqiang Chen1, Jun Zhang1, Yun Wang1, Guangji Wang1, Haiping Hao1.   

Abstract

Apoptosis and senescence are two types of cell fates in response to chemotherapy. Besides canonical pathways that mediate cell fates, cancer cell metabolism has been revealed as a crucial factor affecting cell fate decisions and thus represents a new target for antitumor therapy. Therefore, a comprehensive description of metabolic pathways underlying cell senescence and apoptosis in response to chemotherapy is highly demanded for therapeutic exploitation of both processes. Herein we employed a metabolomics-proteomics combined approach to identify metabolism-associated molecular events that mediate cellular responses to senescence and apoptosis using doxorubicin-treated human breast cancer cells MCF7 as models. Such biomics approach revealed that tricarboxylic acid cycle, pentose phosphate pathway, and nucleotide synthesis pathways were significantly upregulated in the senescent model, whereas fatty acid synthesis was reduced. In apoptotic cells, an overall reduced activity of major metabolic pathways was observed except for the arginine and proline pathway. Combinatorially, these data show the utility of biomics in exploring biochemical mechanism-based differences between apoptosis and senescence and reveal an unprecedented finding of the metabolic events that were induced for survival by facilitating ROS elimination and DNA damage repair in senescent cells, while they were downregulated in apoptotic cells when DNA damage was irreparable.

Entities:  

Keywords:  DNA damage; G6PDH; apoptosis; biomics; metabolism; metabolomics; pentose phosphate pathway; premature senescence; proteomics

Mesh:

Substances:

Year:  2017        PMID: 28467092     DOI: 10.1021/acs.jproteome.7b00111

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  15 in total

1.  Butyrate Suppresses the Proliferation of Colorectal Cancer Cells via Targeting Pyruvate Kinase M2 and Metabolic Reprogramming.

Authors:  Qingran Li; Lijuan Cao; Yang Tian; Pei Zhang; Chujie Ding; Wenjie Lu; Chenxi Jia; Chang Shao; Wenyue Liu; Dong Wang; Hui Ye; Haiping Hao
Journal:  Mol Cell Proteomics       Date:  2018-05-08       Impact factor: 5.911

2.  A novel method to detect intracellular metabolite alterations in MCF-7 cells by doxorubicin induced cell death.

Authors:  Ajay Kumar; Sheetal Patel; Devyani Bhatkar; Sachin C Sarode; Nilesh Kumar Sharma
Journal:  Metabolomics       Date:  2021-01-03       Impact factor: 4.290

3.  Functional Metabolomics and Chemoproteomics Approaches Reveal Novel Metabolic Targets for Anticancer Therapy.

Authors:  Chang Shao; Wenjie Lu; Haiping Hao; Hui Ye
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

4.  Decoding the metabolic landscape of pathophysiological stress-induced cell death in anucleate red blood cells.

Authors:  Travis Nemkov; Syed M Qadri; William P Sheffield; Angelo D'Alessandro
Journal:  Blood Transfus       Date:  2020-02-28       Impact factor: 3.443

5.  Disrupted hepatic pentose phosphate pathway directly participates in and indirectly promotes CYP3A reduction: A new strategy for CYP3A-mediated drug hepatotoxicity.

Authors:  Jiali Liu; Xiaoliang Jin; Fang Zhou; Hongzhu Chen; Wenjie Wang; Yan Liu; Guangji Wang; Kun Hao; Jingwei Zhang
Journal:  Br J Pharmacol       Date:  2020-01-29       Impact factor: 8.739

6.  Interplay between Selenium Levels and Replicative Senescence in WI-38 Human Fibroblasts: A Proteomic Approach.

Authors:  Ghania Hammad; Yona Legrain; Zahia Touat-Hamici; Stéphane Duhieu; David Cornu; Anne-Laure Bulteau; Laurent Chavatte
Journal:  Antioxidants (Basel)       Date:  2018-01-20

7.  p53 dynamics orchestrates with binding affinity to target genes for cell fate decision.

Authors:  Mengqiu Wu; Hui Ye; Zhiyuan Tang; Chang Shao; Gaoyuan Lu; Baoqiang Chen; Yuyu Yang; Guangji Wang; Haiping Hao
Journal:  Cell Death Dis       Date:  2017-10-19       Impact factor: 8.469

Review 8.  Ageing, Cellular Senescence and Neurodegenerative Disease.

Authors:  Marios Kritsilis; Sophia V Rizou; Paraskevi N Koutsoudaki; Konstantinos Evangelou; Vassilis G Gorgoulis; Dimitrios Papadopoulos
Journal:  Int J Mol Sci       Date:  2018-09-27       Impact factor: 5.923

Review 9.  Effects of cellular senescence on metabolic pathways in non-immune and immune cells.

Authors:  Daniela Frasca; Yara Bou Saada; Denisse Garcia; Bertrand Friguet
Journal:  Mech Ageing Dev       Date:  2020-12-28       Impact factor: 5.432

10.  AMPK-mediated senolytic and senostatic activity of quercetin surface functionalized Fe3O4 nanoparticles during oxidant-induced senescence in human fibroblasts.

Authors:  Anna Lewinska; Jagoda Adamczyk-Grochala; Dominika Bloniarz; Jakub Olszowka; Magdalena Kulpa-Greszta; Grzegorz Litwinienko; Anna Tomaszewska; Maciej Wnuk; Robert Pazik
Journal:  Redox Biol       Date:  2019-10-04       Impact factor: 11.799

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