Literature DB >> 32126221

Quantitative proteomics to study aging in rabbit liver.

Bushra Amin1, Katarena I Ford2, Renã A S Robinson3.   

Abstract

Aging globally effects cellular and organismal metabolism across a range of mammalian species, including humans and rabbits. Rabbits (Oryctolagus cuniculus are an attractive model system of aging due to their genetic similarity with humans and their short lifespans. This model can be used to understand metabolic changes in aging especially in major organs such as liver where we detected pronounced variations in fat metabolism, mitochondrial dysfunction, and protein degradation. Such changes in the liver are consistent across several mammalian species however in rabbits the downstream effects of these changes have not yet been explored. We have applied proteomics to study changes in the liver proteins from young, middle, and old age rabbits using a multiplexing cPILOT strategy. This resulted in the identification of 2,586 liver proteins, among which 45 proteins had significant p < 0.05) changes with aging. Seven proteins were differentially-expressed at all ages and include fatty acid binding protein, aldehyde dehydrogenase, enoyl-CoA hydratase, 3-hydroxyacyl CoA dehydrogenase, apolipoprotein C3, peroxisomal sarcosine oxidase, adhesion G-protein coupled receptor, and glutamate ionotropic receptor kinate. Insights to how alterations in metabolism affect protein expression in liver have been gained and demonstrate the utility of rabbit as a model of aging.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Aging; Enhanced multiplexing; Liver; Metabolism; Oryctolagus cuniculus; Proteomics; Rabbit; cPILOT

Mesh:

Substances:

Year:  2020        PMID: 32126221      PMCID: PMC7138690          DOI: 10.1016/j.mad.2020.111227

Source DB:  PubMed          Journal:  Mech Ageing Dev        ISSN: 0047-6374            Impact factor:   5.432


  113 in total

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Journal:  Mech Ageing Dev       Date:  2012-06-13       Impact factor: 5.432

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6.  Abnormal profiles of polyunsaturated fatty acids in the brain, liver, kidney and retina of patients with peroxisomal disorders.

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Review 8.  Obesity and type-2 diabetes as inducers of premature cellular senescence and ageing.

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  3 in total

1.  Dataset of quantitative proteomic analysis to understand aging processes in rabbit liver.

Authors:  Bushra Amin; Renã A S Robinson
Journal:  Data Brief       Date:  2020-05-15

Review 2.  Proteomics in aging research: A roadmap to clinical, translational research.

Authors:  Ruin Moaddel; Ceereena Ubaida-Mohien; Toshiko Tanaka; Alexey Lyashkov; Nathan Basisty; Birgit Schilling; Richard D Semba; Claudio Franceschi; Myriam Gorospe; Luigi Ferrucci
Journal:  Aging Cell       Date:  2021-03-17       Impact factor: 9.304

3.  Automated Sample Multiplexing by using Combined Precursor Isotopic Labeling and Isobaric Tagging (cPILOT).

Authors:  Albert B Arul; Renã A S Robinson
Journal:  J Vis Exp       Date:  2020-12-18       Impact factor: 1.424

  3 in total

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