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Knutson SD, Buksh BF, Huth SW, Morgan DC, MacMillan DWC. Current advances in photocatalytic proximity labeling. Cell Chem Biol 2024; 31:1145-1161. [PMID: 38663396 PMCID: PMC11193652 DOI: 10.1016/j.chembiol.2024.03.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 01/31/2024] [Accepted: 03/29/2024] [Indexed: 06/23/2024]
Abstract
Understanding the intricate network of biomolecular interactions that govern cellular processes is a fundamental pursuit in biology. Over the past decade, photocatalytic proximity labeling has emerged as one of the most powerful and versatile techniques for studying these interactions as well as uncovering subcellular trafficking patterns, drug mechanisms of action, and basic cellular physiology. In this article, we review the basic principles, methodologies, and applications of photocatalytic proximity labeling as well as examine its modern development into currently available platforms. We also discuss recent key studies that have successfully leveraged these technologies and importantly highlight current challenges faced by the field. Together, this review seeks to underscore the potential of photocatalysis in proximity labeling for enhancing our understanding of cell biology while also providing perspective on technological advances needed for future discovery.
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Affiliation(s)
- Steve D Knutson
- Merck Center for Catalysis at Princeton University, Princeton, NJ 08544, USA; Department of Chemistry, Princeton University, Princeton, NJ 08544, USA
| | - Benito F Buksh
- Merck Center for Catalysis at Princeton University, Princeton, NJ 08544, USA; Department of Chemistry, Princeton University, Princeton, NJ 08544, USA
| | - Sean W Huth
- Merck Center for Catalysis at Princeton University, Princeton, NJ 08544, USA; Department of Chemistry, Princeton University, Princeton, NJ 08544, USA
| | - Danielle C Morgan
- Merck Center for Catalysis at Princeton University, Princeton, NJ 08544, USA; Department of Chemistry, Princeton University, Princeton, NJ 08544, USA
| | - David W C MacMillan
- Merck Center for Catalysis at Princeton University, Princeton, NJ 08544, USA; Department of Chemistry, Princeton University, Princeton, NJ 08544, USA.
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2
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Wang H, Wang Z, Gao H, Liu J, Qiao Z, Zhao B, Liang Z, Jiang B, Zhang L, Zhang Y. A photo-oxidation driven proximity labeling strategy enables profiling of mitochondrial proteome dynamics in living cells. Chem Sci 2022; 13:11943-11950. [PMID: 36320915 PMCID: PMC9580500 DOI: 10.1039/d2sc04087e] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 09/27/2022] [Indexed: 07/21/2023] Open
Abstract
Mapping the proteomic landscape of mitochondria with spatiotemporal precision plays a pivotal role in elucidating the delicate biological functions and complex relationship with other organelles in a variety of dynamic physiological processes which necessitates efficient and controllable chemical tools. We herein report a photo-oxidation driven proximity labeling strategy to profile the mitochondrial proteome by light dependence in living cells with high spatiotemporal resolution. Taking advantage of organelle-localizable organic photoactivated probes generating reactive species and nucleophilic substrates for proximal protein oxidation and trapping, mitochondrial proteins were selectively labeled by spatially limited reactions in their native environment. Integration of photo-oxidation driven proximity labeling and quantitative proteomics facilitated the plotting of the mitochondrial proteome in which up to 310 mitochondrial proteins were identified with a specificity of 64% in HeLa cells. Furthermore, mitochondrial proteome dynamics was deciphered in drug resistant Huh7 and LPS stimulated HMC3 cells which were hard-to-transfect. A number of differential proteins were quantified which were intimately linked to critical processes and provided insights into the related molecular mechanisms of drug resistance and neuroinflammation in the perspective of mitochondria. The photo-oxidation driven proximity labeling strategy offers solid technical support to a highly precise proteomic platform in time and finer space for more knowledge of subcellular biology.
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Affiliation(s)
- He Wang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, National Chromatographic R & A Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences Dalian 116023 China
- University of Chinese Academy of Sciences Beijing 100049 China
| | - Zhiting Wang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, National Chromatographic R & A Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences Dalian 116023 China
- University of Chinese Academy of Sciences Beijing 100049 China
| | - Hang Gao
- CAS Key Laboratory of Separation Science for Analytical Chemistry, National Chromatographic R & A Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences Dalian 116023 China
- University of Chinese Academy of Sciences Beijing 100049 China
| | - Jianhui Liu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, National Chromatographic R & A Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences Dalian 116023 China
| | - Zichun Qiao
- CAS Key Laboratory of Separation Science for Analytical Chemistry, National Chromatographic R & A Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences Dalian 116023 China
- University of Chinese Academy of Sciences Beijing 100049 China
| | - Baofeng Zhao
- CAS Key Laboratory of Separation Science for Analytical Chemistry, National Chromatographic R & A Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences Dalian 116023 China
| | - Zhen Liang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, National Chromatographic R & A Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences Dalian 116023 China
| | - Bo Jiang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, National Chromatographic R & A Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences Dalian 116023 China
| | - Lihua Zhang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, National Chromatographic R & A Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences Dalian 116023 China
| | - Yukui Zhang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, National Chromatographic R & A Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences Dalian 116023 China
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Abstract
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Proximity
labeling can be defined as an enzymatic “in-cell”
chemical reaction that catalyzes the proximity-dependent modification
of biomolecules in live cells. Since the modified proteins can be
isolated and identified via mass spectrometry, this method has been
successfully utilized for the characterization of local proteomes
such as the sub-mitochondrial proteome and the proteome at membrane
contact sites, or spatiotemporal interactome information in live cells,
which are not “accessible” via conventional methods.
Currently, proximity labeling techniques can be applied not only for
local proteome mapping but also for profiling local RNA and DNA, in
addition to showing great potential for elucidating spatial cell–cell
interaction networks in live animal models. We believe that proximity
labeling has emerged as an essential tool in “spatiomics,”
that is, for the extraction of spatially distributed biological information
in a cell or organism. Proximity labeling is a multidisciplinary
chemical technique. For
a decade, we and other groups have engineered it for multiple applications
based on the modulation of enzyme chemistry, chemical probe design,
and mass analysis techniques that enable superior mapping results.
The technique has been adopted in biology and chemistry. This “in-cell”
reaction has been widely adopted by biologists who modified it into
an in vivo reaction in animal models. In our laboratory, we conducted
in vivo proximity labeling reactions in mouse models and could successfully
obtain the liver-specific secretome and muscle-specific mitochondrial
matrix proteome. We expect that proximity reaction can further contribute
to revealing tissue-specific localized molecular information in live
animal models. Simultaneously, chemists have also adopted the
concept and employed
chemical “photocatalysts” as artificial enzymes to develop
new proximity labeling reactions. Under light activation, photocatalysts
can convert the precursor molecules to the reactive species via electron
transfer or energy transfer and the reactive molecules can react with
proximal biomolecules within a definite lifetime in an aqueous solution.
To identify the modified biomolecules by proximity labeling, the modified
biomolecules should be enriched after lysis and sequenced using sequencing
tools. In this analysis step, the direct detection of modified residue(s)
on the modified proteins or nucleic acids can be the proof of their
labeling event by proximal enzymes or catalysts in the cell. In this
Account, we introduce the basic concept of proximity labeling and
the multidirectional advances in the development of this method. We
believe that this Account may facilitate further utilization and modification
of the method in both biological and chemical research communities,
thereby revealing unknown spatially distributed molecular or cellular
information or spatiome.
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Affiliation(s)
- Myeong-Gyun Kang
- Department of Chemistry, Seoul National University, Seoul 08826, Korea
| | - Hyun-Woo Rhee
- Department of Chemistry, Seoul National University, Seoul 08826, Korea
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Mair A, Bergmann DC. Advances in enzyme-mediated proximity labeling and its potential for plant research. PLANT PHYSIOLOGY 2022; 188:756-768. [PMID: 34662401 PMCID: PMC8825456 DOI: 10.1093/plphys/kiab479] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 09/21/2021] [Indexed: 06/12/2023]
Abstract
Cellular processes rely on the intimate interplay of different molecules, including DNA, RNA, proteins, and metabolites. Obtaining and integrating data on their abundance and dynamics at high temporal and spatial resolution are essential for our understanding of plant growth and development. In the past decade, enzymatic proximity labeling (PL) has emerged as a powerful tool to study local protein and nucleotide ensembles, discover protein-protein and protein-nucleotide interactions, and resolve questions about protein localization and membrane topology. An ever-growing number and continuous improvement of enzymes and methods keep broadening the spectrum of possible applications for PL and make it more accessible to different organisms, including plants. While initial PL experiments in plants required high expression levels and long labeling times, recently developed faster enzymes now enable PL of proteins on a cell type-specific level, even with low-abundant baits, and in different plant species. Moreover, expanding the use of PL for additional purposes, such as identification of locus-specific gene regulators or high-resolution electron microscopy may now be in reach. In this review, we give an overview of currently available PL enzymes and their applications in mammalian cell culture and plants. We discuss the challenges and limitations of PL methods and highlight open questions and possible future directions for PL in plants.
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Affiliation(s)
- Andrea Mair
- Howard Hughes Medical Institute and Department of Biology, Stanford University, Stanford, California 94305, USA
| | - Dominique C Bergmann
- Howard Hughes Medical Institute and Department of Biology, Stanford University, Stanford, California 94305, USA
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Shkel O, Kharkivska Y, Kim YK, Lee JS. Proximity Labeling Techniques: A Multi-Omics Toolbox. Chem Asian J 2021; 17:e202101240. [PMID: 34850572 DOI: 10.1002/asia.202101240] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 11/29/2021] [Indexed: 01/17/2023]
Abstract
Proximity labeling techniques are emerging high-throughput methods for studying protein-protein, protein-RNA, and protein-DNA interactions with temporal and spatial precision. Proximity labeling methods take advantage of enzymes that can covalently label biomolecules with reactive substrates. These labeled biomolecules can be identified using mass spectrometry or next-generation sequencing. The main advantage of these methods is their ability to capture weak or transient interactions between biomolecules. Proximity labeling is indispensable for studying organelle interactomes. Additionally, it can be used to resolve spatial composition of macromolecular complexes. Many of these methods have only recently been introduced; nonetheless, they have already provided new and deep insights into the biological processes at the cellular, organ, and organism levels. In this paper, we review a broad range of proximity labeling techniques, their development, drawbacks and advantages, and implementations in recent studies.
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Affiliation(s)
- Olha Shkel
- Convergence Research Center for Diagnosis Treatment and Care System of Dementia, Korea Institute of Science and Technology, Seoul, Republic of Korea
| | - Yevheniia Kharkivska
- Convergence Research Center for Diagnosis Treatment and Care System of Dementia, Korea Institute of Science and Technology, Seoul, Republic of Korea
| | - Yun Kyung Kim
- Convergence Research Center for Diagnosis Treatment and Care System of Dementia, Korea Institute of Science and Technology, Seoul, Republic of Korea
| | - Jun-Seok Lee
- Department of Pharmacology, Korea University College of Medicine, Seoul, Republic of Korea
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Liang J, Jia H, Li L, Li X, Li Y. β-Difluoroalkylamine as a Motif for Singlet Oxygen-Mediated Proximity Labeling in Living Cells. Org Lett 2021; 23:4640-4644. [PMID: 34076445 DOI: 10.1021/acs.orglett.1c01377] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
We designed β-difluoroalkylamine to capture RNAs and proteins with high tempospatial resolution via proximity labeling mediated by photoinduced singlet oxygen. The appended azide group allows for RNA biotinylation and downstream analysis through both SPAAC and CuAAC. In particular, the β-difluoroalkylazide motif enjoys an enhanced CuAAC reaction rate, thus preserving good RNA integrity.
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Affiliation(s)
- Jiying Liang
- Department of Chemistry, The University of Hong Kong, Pokfulam Road, HK SAR, China
| | - Han Jia
- Department of Chemistry, The University of Hong Kong, Pokfulam Road, HK SAR, China
| | - Lan Li
- Department of Chemistry, The University of Hong Kong, Pokfulam Road, HK SAR, China
| | - Xiang Li
- Zhongnan Hospital, Wuhan University, Wuhan 430071, China
| | - Ying Li
- Department of Chemistry, The University of Hong Kong, Pokfulam Road, HK SAR, China
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