Literature DB >> 25620666

Global cPILOT analysis of the APP/PS-1 mouse liver proteome.

Adam R Evans1, Liqing Gu1, Rodolfo Guerrero1, Renã A S Robinson1.   

Abstract

PURPOSE: A quantitative proteomics strategy called combined precursor isotopic labeling and isobaric tagging (cPILOT) was designed to discover alterations in the amyloid precursor protein/presenilin-1 (APP/PS-1) mouse liver proteome. The multiplexing strategy allows simultaneous quantitation of 12 samples in a single experiment. EXPERIMENTAL
DESIGN: For cPILOT samples, six APP/PS-1 and six heterozygous mouse livers were modified using precursor dimethylation (pH 2.5) followed by isobaric tagging (pH 8.0). Samples were pooled, fractioned with strong cation exchange, and analyzed using RPLC-MS(3) for protein identification and relative quantitation. In order to increase proteome coverage, a two-tiered data collection strategy was employed. Six duplex precursor dimethylation experiments were also performed to verify cPILOT protein quantitation.
RESULTS: The combination of cPILOT with precursor dimethylation data resulted in 2437 total liver proteins identified and 77 differentially expressed proteins in APP/PS-1 liver. Differentially expressed proteins are involved in metabolic processes such as B-oxidation, pyruvate metabolism, and glucose regulation. CONCLUSIONS AND CLINICAL RELEVANCE: cPILOT expands protein quantitation using isobaric tags and can be applied to any clinical laboratory interested in enhanced multiplexing strategies. Differentially expressed proteins in APP/PS-1 mouse liver suggest the potential use of ketone bodies to alleviate metabolic dysregulation in Alzheimer's disease brain. Our work also suggests alterations in the alanine cycle potentially leading to hyperammonia production, may contribute to Alzheimer's disease pathogenesis.
© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  APP/PS-1; Alzheimer's disease; Liver proteomics; Metabolism; Multiplexing; cPILOT

Mesh:

Substances:

Year:  2015        PMID: 25620666     DOI: 10.1002/prca.201400149

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  14 in total

1.  Increased N,N-Dimethyl Leucine Isobaric Tag Multiplexing by a Combined Precursor Isotopic Labeling and Isobaric Tagging Approach.

Authors:  Dustin C Frost; Clayton J Rust; Renã A S Robinson; Lingjun Li
Journal:  Anal Chem       Date:  2018-09-04       Impact factor: 6.986

2.  High-throughput endogenous measurement of S-nitrosylation in Alzheimer's disease using oxidized cysteine-selective cPILOT.

Authors:  Liqing Gu; Renã A S Robinson
Journal:  Analyst       Date:  2016-05-06       Impact factor: 4.616

Review 3.  Central and Peripheral Metabolic Defects Contribute to the Pathogenesis of Alzheimer's Disease: Targeting Mitochondria for Diagnosis and Prevention.

Authors:  Yunhua Peng; Peipei Gao; Le Shi; Lei Chen; Jiankang Liu; Jiangang Long
Journal:  Antioxid Redox Signal       Date:  2020-03-16       Impact factor: 8.401

Review 4.  Sample Multiplexing Strategies in Quantitative Proteomics.

Authors:  Albert B Arul; Renã A S Robinson
Journal:  Anal Chem       Date:  2018-12-18       Impact factor: 6.986

5.  Quantitative proteomics to study aging in rabbit liver.

Authors:  Bushra Amin; Katarena I Ford; Renã A S Robinson
Journal:  Mech Ageing Dev       Date:  2020-02-29       Impact factor: 5.432

Review 6.  Quantitative proteomic characterization of redox-dependent post-translational modifications on protein cysteines.

Authors:  Jicheng Duan; Matthew J Gaffrey; Wei-Jun Qian
Journal:  Mol Biosyst       Date:  2017-05-02

7.  Enhanced Sample Multiplexing of Tissues Using Combined Precursor Isotopic Labeling and Isobaric Tagging (cPILOT).

Authors:  Christina D King; Joseph D Dudenhoeffer; Liqing Gu; Adam R Evans; Renã A S Robinson
Journal:  J Vis Exp       Date:  2017-05-01       Impact factor: 1.355

Review 8.  Proteomic approaches to quantify cysteine reversible modifications in aging and neurodegenerative diseases.

Authors:  Liqing Gu; Renã A S Robinson
Journal:  Proteomics Clin Appl       Date:  2016-11-11       Impact factor: 3.494

Review 9.  The Potential of 'Omics to Link Lipid Metabolism and Genetic and Comorbidity Risk Factors of Alzheimer's Disease in African Americans.

Authors:  Kaitlyn E Stepler; Renã A S Robinson
Journal:  Adv Exp Med Biol       Date:  2019       Impact factor: 2.622

Review 10.  Reappraisal of metabolic dysfunction in neurodegeneration: Focus on mitochondrial function and calcium signaling.

Authors:  Pooja Jadiya; Joanne F Garbincius; John W Elrod
Journal:  Acta Neuropathol Commun       Date:  2021-07-07       Impact factor: 7.801

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