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Xie S, Saba L, Jiang H, Bringas OR, Oghbaie M, Stefano LD, Sherman V, LaCava J. Multiparameter screen optimizes immunoprecipitation. Biotechniques 2024; 76:145-152. [PMID: 38425263 PMCID: PMC11091867 DOI: 10.2144/btn-2023-0051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2024] Open
Abstract
Immunoprecipitation (IP) coupled with mass spectrometry effectively maps protein-protein interactions when genome-wide, affinity-tagged cell collections are used. Such studies have recorded significant portions of the compositions of physiological protein complexes, providing draft 'interactomes'; yet many constituents of protein complexes still remain uncharted. This gap exists partly because high-throughput approaches cannot optimize each IP. A key challenge for IP optimization is stabilizing in vivo interactions during the transfer from cells to test tubes; failure to do so leads to the loss of genuine interactions during the IP and subsequent failure to detect. Our high-content screening method explores the relationship between in vitro chemical conditions and IP outcomes, enabling rapid empirical optimization of conditions for capturing target macromolecular assemblies.
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Affiliation(s)
- Shaoshuai Xie
- European Research Institute for the Biology of Ageing, University Medical Centre Groningen, Groningen, 9713AV, The Netherlands
| | - Leila Saba
- European Research Institute for the Biology of Ageing, University Medical Centre Groningen, Groningen, 9713AV, The Netherlands
| | - Hua Jiang
- Laboratory of Cellular & Structural Biology, The Rockefeller University, New York, NY 10065, USA
| | - Omar R Bringas
- European Research Institute for the Biology of Ageing, University Medical Centre Groningen, Groningen, 9713AV, The Netherlands
| | - Mehrnoosh Oghbaie
- European Research Institute for the Biology of Ageing, University Medical Centre Groningen, Groningen, 9713AV, The Netherlands
- Laboratory of Cellular & Structural Biology, The Rockefeller University, New York, NY 10065, USA
| | - Luciano Di Stefano
- European Research Institute for the Biology of Ageing, University Medical Centre Groningen, Groningen, 9713AV, The Netherlands
| | - Vadim Sherman
- High Energy Physics Instrument Shop, The Rockefeller University, New York, NY 10065, USA
| | - John LaCava
- European Research Institute for the Biology of Ageing, University Medical Centre Groningen, Groningen, 9713AV, The Netherlands
- Laboratory of Cellular & Structural Biology, The Rockefeller University, New York, NY 10065, USA
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Wang L, Zhou L, Ma N, Su Q, Wan Y, Zhang Y, Wu F, Qian W. Real-time monitoring of immunoglobulin G levels in milk using an ordered porous layer interferometric optical sensor. Talanta 2022; 237:122958. [PMID: 34736683 DOI: 10.1016/j.talanta.2021.122958] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 10/04/2021] [Accepted: 10/08/2021] [Indexed: 10/20/2022]
Abstract
Immunoglobulin G (IgG) is a significant ingredient of immunological activity in milk and colostrum, the activity and content of which is easily disturbed by potentially conditional variant during sterilization. Therefore, developing robust methods for the detection of IgG levels in milk is especially important. Herein, protein A from the Staphylococcus aureus functionalized silica colloidal crystalline film (SCC@SPA) sensing unit combined with ordered porous layer interferometry (OPLI) for IgG detection in untreated bovine milk was developed. Calibration curves in milk and buffer were set up by the variations of the optical thickness (OT) of the sensing unit after the IgG association and dissociation phases. The influence of temperature on the level of IgG was evaluated. Furthermore, the identification of IgG levels with pasteurized milk and ultrahigh temperature (UHT) sterilized milk from the market randomly was successfully carried out without any sample pretreatment. More importantly, compared with other methods, this novel method has the advantages of convenient operation, low cost, and suitability for point-of-care (POC) testing.
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Affiliation(s)
- Lu Wang
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Lele Zhou
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Ning Ma
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Qianqian Su
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China; School of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Yizhen Wan
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Yifan Zhang
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Feng Wu
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Weiping Qian
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China; OPLI (Suzhou) Biotechnology Co., Ltd, New District, Suzhou, 215163, China.
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LaCava J, Molloy KR, Taylor MS, Domanski M, Chait BT, Rout MP. Affinity proteomics to study endogenous protein complexes: pointers, pitfalls, preferences and perspectives. Biotechniques 2015; 58:103-19. [PMID: 25757543 PMCID: PMC4465938 DOI: 10.2144/000114262] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2015] [Accepted: 02/17/2015] [Indexed: 01/13/2023] Open
Abstract
Dissecting and studying cellular systems requires the ability to specifically isolate distinct proteins along with the co-assembled constituents of their associated complexes. Affinity capture techniques leverage high affinity, high specificity reagents to target and capture proteins of interest along with specifically associated proteins from cell extracts. Affinity capture coupled to mass spectrometry (MS)-based proteomic analyses has enabled the isolation and characterization of a wide range of endogenous protein complexes. Here, we outline effective procedures for the affinity capture of protein complexes, highlighting best practices and common pitfalls.
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Affiliation(s)
- John LaCava
- Laboratory of Cellular and Structural Biology, The Rockefeller University, New York
- Institute for Systems Genetics, New York University School of Medicine, New York, NY
| | - Kelly R. Molloy
- Laboratory of Mass Spectrometry and Gaseous Ion Chemistry, The Rockefeller University, New York, NY
| | - Martin S. Taylor
- High Throughput Biology Center and Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Michal Domanski
- Laboratory of Cellular and Structural Biology, The Rockefeller University, New York
- Centre for mRNP Biogenesis and Metabolism, Department of Molecular Biology and Genetics, Aarhus University, Aarhus, Denmark
| | - Brian T. Chait
- Laboratory of Mass Spectrometry and Gaseous Ion Chemistry, The Rockefeller University, New York, NY
| | - Michael P. Rout
- Laboratory of Cellular and Structural Biology, The Rockefeller University, New York
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