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Taoka M, Kamei K, Kashima A, Nobe Y, Takekiyo T, Uekita T, Ichimura T. An ionic liquid-assisted sample preparation method for sensitive integral-membrane proteome analysis. Anal Biochem 2023; 683:115349. [PMID: 37852348 DOI: 10.1016/j.ab.2023.115349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 10/12/2023] [Accepted: 10/12/2023] [Indexed: 10/20/2023]
Abstract
Many ion channels and receptor proteins are potential targets for new drugs. However, standard methods for profiling these integral membrane proteins (IMPs) have not been fully established, especially when applied to rare and quantity-limited biological samples. We previously demonstrated that a mixture containing 1-butyl-3-methylimidazolium cyanate, an ionic liquid (IL), and NaOH (termed i-soln) is an excellent solubilizer for insoluble aggregates. In this study, we present a combined i-soln-assisted proteomic sample preparation platform (termed pTRUST), which is compatible with starting materials in the sub-microgram range, using our previously reported i-soln-based sample preparation strategy (iBOPs) and an in-StageTip technique. This novel and straightforward approach allows for the rapid solubilization and processing of a variety of IMPs from human samples to support highly sensitive mass spectrometry analysis. We also demonstrated that the performance of this technology surpasses that of conventional methods such as filter-aided sample preparation methods, FASP and i-FASP. The convenience and availability of pTRUST technology using the IL system have great potential for proteomic identification and characterization of novel drug targets and disease biology in research and clinical settings.
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Affiliation(s)
- Masato Taoka
- Department of Chemistry, Tokyo Metropolitan University, Tokyo, 192-0397, Japan
| | - Kota Kamei
- Department of Applied Chemistry, National Defense Academy, Yokosuka, 239-8686, Japan
| | | | - Yuko Nobe
- Department of Chemistry, Tokyo Metropolitan University, Tokyo, 192-0397, Japan
| | - Takahiro Takekiyo
- Department of Applied Chemistry, National Defense Academy, Yokosuka, 239-8686, Japan
| | - Takamasa Uekita
- Department of Applied Chemistry, National Defense Academy, Yokosuka, 239-8686, Japan
| | - Tohru Ichimura
- Department of Applied Chemistry, National Defense Academy, Yokosuka, 239-8686, Japan.
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3
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Neset L, Takayidza G, Berven FS, Hernandez-Valladares M. Comparing Efficiency of Lysis Buffer Solutions and Sample Preparation Methods for Liquid Chromatography-Mass Spectrometry Analysis of Human Cells and Plasma. MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27113390. [PMID: 35684327 PMCID: PMC9181984 DOI: 10.3390/molecules27113390] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 05/16/2022] [Accepted: 05/21/2022] [Indexed: 12/02/2022]
Abstract
The use of a proper sample processing methodology for maximum proteome coverage and high-quality quantitative data is an important choice to make before initiating a liquid chromatography–mass spectrometry (LC–MS)-based proteomics study. Popular sample processing workflows for proteomics involve in-solution proteome digestion and single-pot, solid-phase-enhanced sample preparation (SP3). We tested them on both HeLa cells and human plasma samples, using lysis buffers containing SDS, or guanidinium hydrochloride. We also studied the effect of using commercially available depletion mini spin columns before SP3, to increase proteome coverage in human plasma samples. Our results show that the SP3 protocol, using either buffer, achieves the highest number of quantified proteins in both the HeLa cells and plasma samples. Moreover, the use of depletion mini spin columns before SP3 results in a two-fold increase of quantified plasma proteins. With additional fractionation, we quantified nearly 1400 proteins, and examined lower-abundance proteins involved in neurodegenerative pathways and mitochondrial metabolism. Therefore, we recommend the use of the SP3 methodology for biological sample processing, including those after depletion of high-abundance plasma proteins.
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Affiliation(s)
- Lasse Neset
- The Department of Biomedicine, University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway; (L.N.); (G.T.); (F.S.B.)
| | - Gracious Takayidza
- The Department of Biomedicine, University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway; (L.N.); (G.T.); (F.S.B.)
| | - Frode S. Berven
- The Department of Biomedicine, University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway; (L.N.); (G.T.); (F.S.B.)
| | - Maria Hernandez-Valladares
- The Department of Biomedicine, University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway; (L.N.); (G.T.); (F.S.B.)
- Department of Clinical Science, University of Bergen, Jonas Lies vei 87, 5021 Bergen, Norway
- Department of Physical Chemistry, University of Granada, Campus Fuentenueva s/n, 18071 Granada, Spain
- Correspondence: ; Tel.: +47-555-863-68
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4
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Kehm R, Baldensperger T, Raupbach J, Höhn A. Protein oxidation - Formation mechanisms, detection and relevance as biomarkers in human diseases. Redox Biol 2021; 42:101901. [PMID: 33744200 PMCID: PMC8113053 DOI: 10.1016/j.redox.2021.101901] [Citation(s) in RCA: 94] [Impact Index Per Article: 31.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 02/06/2021] [Accepted: 02/12/2021] [Indexed: 12/16/2022] Open
Abstract
Generation of reactive oxygen species and related oxidants is an inevitable consequence of life. Proteins are major targets for oxidation reactions, because of their rapid reaction rates with oxidants and their high abundance in cells, extracellular tissues, and body fluids. Additionally, oxidative stress is able to degrade lipids and carbohydrates to highly reactive intermediates, which eventually attack proteins at various functional sites. Consequently, a wide variety of distinct posttranslational protein modifications is formed by protein oxidation, glycoxidation, and lipoxidation. Reversible modifications are relevant in physiological processes and constitute signaling mechanisms ("redox signaling"), while non-reversible modifications may contribute to pathological situations and several diseases. A rising number of publications provide evidence for their involvement in the onset and progression of diseases as well as aging processes. Certain protein oxidation products are chemically stable and formed in large quantity, which makes them promising candidates to become biomarkers of oxidative damage. Moreover, progress in the development of detection and quantification methods facilitates analysis time and effort and contributes to their future applicability in clinical routine. The present review outlines the most important classes and selected examples of oxidative protein modifications, elucidates the chemistry beyond their formation and discusses available methods for detection and analysis. Furthermore, the relevance and potential of protein modifications as biomarkers in the context of disease and aging is summarized.
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Affiliation(s)
- Richard Kehm
- Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), 14558, Nuthetal, Germany.
| | - Tim Baldensperger
- Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), 14558, Nuthetal, Germany.
| | - Jana Raupbach
- Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), 14558, Nuthetal, Germany.
| | - Annika Höhn
- Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), 14558, Nuthetal, Germany; German Center for Diabetes Research (DZD), 85764, Muenchen-Neuherberg, Germany.
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8
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Su N, Zhang C, Zhang Y, Wang Z, Fan F, Zhao M, Wu F, Gao Y, Li Y, Chen L, Tian M, Zhang T, Wen B, Sensang N, Xiong Z, Wu S, Liu S, Yang P, Zhen B, Zhu Y, He F, Xu P. Special Enrichment Strategies Greatly Increase the Efficiency of Missing Proteins Identification from Regular Proteome Samples. J Proteome Res 2015; 14:3680-92. [DOI: 10.1021/acs.jproteome.5b00481] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Na Su
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, Beijing 102206, China
| | - Chengpu Zhang
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, Beijing 102206, China
| | - Yao Zhang
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, Beijing 102206, China
- Institute
of Microbiology, Chinese Academy of Science, Beijing 100101, China
| | - Zhiqiang Wang
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, Beijing 102206, China
- Key
Laboratory of Combinatorial Biosynthesis and Drug Discovery (Wuhan
University), Ministry of Education , and Wuhan University School of Pharmaceutical Sciences, Wuhan 430071, China
| | - Fengxu Fan
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, Beijing 102206, China
- Anhui Medical University, Hefei 230032, Anhui China
| | - Mingzhi Zhao
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, Beijing 102206, China
| | - Feilin Wu
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, Beijing 102206, China
- Life
Science College, Southwest Forestry University, Kunming 650224, China
| | - Yuan Gao
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, Beijing 102206, China
| | - Yanchang Li
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, Beijing 102206, China
| | - Lingsheng Chen
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, Beijing 102206, China
- State Key
Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning 530005, China
| | - Miaomiao Tian
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, Beijing 102206, China
| | - Tao Zhang
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, Beijing 102206, China
| | - Bo Wen
- BGI-Shenzhen, Shenzhen 518083, China
| | - Na Sensang
- Inner Mongolia Medical University, Hohhot 010110, Inner Mongolia China
| | - Zhi Xiong
- Life
Science College, Southwest Forestry University, Kunming 650224, China
| | - Songfeng Wu
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, Beijing 102206, China
| | - Siqi Liu
- BGI-Shenzhen, Shenzhen 518083, China
| | - Pengyuan Yang
- Institute
of Biomedical Sciences, Department of Chemistry, and Zhongshan Hospital, Fudan University, 130 DongAn Road, Shanghai 200032, China
| | - Bei Zhen
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, Beijing 102206, China
| | - Yunping Zhu
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, Beijing 102206, China
| | - Fuchu He
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, Beijing 102206, China
| | - Ping Xu
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, Beijing 102206, China
- Key
Laboratory of Combinatorial Biosynthesis and Drug Discovery (Wuhan
University), Ministry of Education , and Wuhan University School of Pharmaceutical Sciences, Wuhan 430071, China
- Anhui Medical University, Hefei 230032, Anhui China
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