1
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Chen R, Shi X, Yao X, Gao T, Huang G, Ning D, Cao Z, Xu Y, Liang W, Tian SZ, Zhu Q, Fang L, Zheng M, Hu Y, Cui H, Chen W. Specific multivalent molecules boost CRISPR-mediated transcriptional activation. Nat Commun 2024; 15:7222. [PMID: 39174527 PMCID: PMC11341856 DOI: 10.1038/s41467-024-51694-y] [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] [Received: 01/14/2024] [Accepted: 08/15/2024] [Indexed: 08/24/2024] Open
Abstract
CRISPR/Cas-based transcriptional activators can be enhanced by intrinsically disordered regions (IDRs). However, the underlying mechanisms are still debatable. Here, we examine 12 well-known IDRs by fusing them to the dCas9-VP64 activator, of which only seven can augment activation, albeit independently of their phase separation capabilities. Moreover, modular domains (MDs), another class of multivalent molecules, though ineffective in enhancing dCas9-VP64 activity on their own, show substantial enhancement in transcriptional activation when combined with dCas9-VP64-IDR. By varying the number of gRNA binding sites and fusing dCas9-VP64 with different IDRs/MDs, we uncover that optimal, rather than maximal, cis-trans cooperativity enables the most robust activation. Finally, targeting promoter-enhancer pairs yields synergistic effects, which can be further amplified via enhancing chromatin interactions. Overall, our study develops a versatile platform for efficient gene activation and sheds important insights into CRIPSR-based transcriptional activators enhanced with multivalent molecules.
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Affiliation(s)
- Rui Chen
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
- Innovative Center for RNA Therapeutics (ICRT), School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
- Guangming Advanced Research Institute, Southern University of Science and Technology, Shenzhen, China
| | - Xinyao Shi
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
| | - Xiangrui Yao
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
| | - Tong Gao
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
| | - Guangyu Huang
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
| | - Duo Ning
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
| | - Zemin Cao
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
| | - Youxin Xu
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
| | - Weizheng Liang
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
- Central Laboratory, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei, China
| | - Simon Zhongyuan Tian
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
- Innovative Center for RNA Therapeutics (ICRT), School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
| | - Qionghua Zhu
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
- Innovative Center for RNA Therapeutics (ICRT), School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
- Guangming Advanced Research Institute, Southern University of Science and Technology, Shenzhen, China
| | - Liang Fang
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
- Innovative Center for RNA Therapeutics (ICRT), School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
- Guangming Advanced Research Institute, Southern University of Science and Technology, Shenzhen, China
| | - Meizhen Zheng
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
- Innovative Center for RNA Therapeutics (ICRT), School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
| | - Yuhui Hu
- Department of Pharmacology, School of Medicine, Southern University of Science and Technology, Shenzhen, China
- Joint Laboratory of Guangdong-Hong Kong Universities for Vascular Homeostasis and Diseases, School of Medicine, Southern University of Science and Technology, Shenzhen, China
| | - Huanhuan Cui
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
- Innovative Center for RNA Therapeutics (ICRT), School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
- Guangming Advanced Research Institute, Southern University of Science and Technology, Shenzhen, China.
| | - Wei Chen
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
- Innovative Center for RNA Therapeutics (ICRT), School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
- Guangming Advanced Research Institute, Southern University of Science and Technology, Shenzhen, China.
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2
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Kong Q, Ke M, Weng Y, Qin Y, He A, Li P, Cai Z, Tian R. Dynamic Phosphotyrosine-Dependent Signaling Profiling in Living Cells by Two-Dimensional Proximity Proteomics. J Proteome Res 2022; 21:2727-2735. [DOI: 10.1021/acs.jproteome.2c00418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Qian Kong
- Department of Chemistry, College of Science, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen 518055, China
- Research Center for Chemical Biology and Omics Analysis, College of Science, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen 518055, China
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Kowloon Tong 999077, Hong Kong SAR, China
| | - Mi Ke
- Department of Chemistry, College of Science, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen 518055, China
- Research Center for Chemical Biology and Omics Analysis, College of Science, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen 518055, China
| | - Yicheng Weng
- Department of Chemistry, College of Science, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen 518055, China
- Research Center for Chemical Biology and Omics Analysis, College of Science, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen 518055, China
| | - Yunqiu Qin
- Department of Chemistry, College of Science, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen 518055, China
- Research Center for Chemical Biology and Omics Analysis, College of Science, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen 518055, China
| | - An He
- Department of Chemistry, College of Science, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen 518055, China
- Research Center for Chemical Biology and Omics Analysis, College of Science, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen 518055, China
| | - Pengfei Li
- Department of Chemistry, College of Science, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen 518055, China
- Research Center for Chemical Biology and Omics Analysis, College of Science, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen 518055, China
- Shenzhen Grubbs Institute, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen 518055, China
| | - Zongwei Cai
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Kowloon Tong 999077, Hong Kong SAR, China
| | - Ruijun Tian
- Department of Chemistry, College of Science, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen 518055, China
- Research Center for Chemical Biology and Omics Analysis, College of Science, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen 518055, China
- Shenzhen Grubbs Institute, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen 518055, China
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3
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Urban J. A review on recent trends in the phosphoproteomics workflow. From sample preparation to data analysis. Anal Chim Acta 2022; 1199:338857. [PMID: 35227377 DOI: 10.1016/j.aca.2021.338857] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Revised: 07/14/2021] [Accepted: 07/15/2021] [Indexed: 12/12/2022]
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4
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Motif-dependent immune co-receptor interactome profiling by photoaffinity chemical proteomics. Cell Chem Biol 2022; 29:1024-1036.e5. [PMID: 35093210 DOI: 10.1016/j.chembiol.2022.01.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 11/10/2021] [Accepted: 01/06/2022] [Indexed: 12/17/2022]
Abstract
Identification of the tyrosine phosphorylation (pY)-dependent interactome of immune co-receptors is crucial for understanding signal pathways involved in immunotherapy. However, identifying the motif-specific interactome for each pY commonly found on these multi-phosphorylated membrane proteins remains challenging. Here, we describe a photoaffinity-based chemical proteomic approach to dissect the motif-specific cytoplasmic interactomes of the critical immune co-receptor CD28. Various full-length CD28 cytoplasmic tails (CD28cyto) with defined pY and selectively replaced photo-methionine were synthesized and applied to explore three pY-motif-dependent CD28cyto interactomes. We identified a stand-alone interaction of phospholipase PLCG1 with the Y191 motif with enhanced affinity for the sequence neighboring the transmembrane domain. Importantly, taking advantage of native top-down mass spectrometry with a 193-nm laser, we discovered the direct association of a previously undefined pY218 motif with the kinase PKCθ through its C2 domain. This synthetic CD28cyto-based photoaffinity proteomic approach is generically applicable to the study of other immune co-receptors with multiple pY sites on their linear cytoplasmic tail.
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5
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Wang S, Zhang C, Li M, Zhao C, Zheng Y. A System-Wide Spatiotemporal Characterization of ErbB Receptor Complexes by Subcellular Fractionation Integrated Quantitative Mass Spectrometry. Anal Chem 2021; 93:7933-7941. [PMID: 34033713 DOI: 10.1021/acs.analchem.1c00651] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Precise spatiotemporal regulation of protein complex assembly is essential for cells to achieve a meaningful rely of information flow via intracellular signaling networks in response to extracellular cues, whose disruption would lead to disease. Although various attempts have been made for spatial and/or temporal analysis of protein complexes, it is still a challenge to track cell-wide dynamics of a particular protein complex under physiological conditions. Here we describe a workflow that combines endogenous expression of tagged proteins, organelle marker distribution-directed subcellular fractionation, scaffold protein-mediated receptor complex purification, and targeted proteomics for spatiotemporal quantification of protein complexes in whole cell scale. We applied our method to investigate the assembly kinetics of EGF-dependent ErbB receptor complexes. After fractionation using the density gradient centrifugation and organelle assignment based on organelle markers, endogenous ErbB complex in different subcellular fractionation was efficiently enriched. By using targeted mass spectrometry, ErbB complex components that expressed medium to low level was precisely quantified with in-depth coverage, simultaneously in time and subcellular spaces. Our results revealed a sophisticated scheme of complex behaviors characterized by multiple subcomplexes with distinct molecular composition formed across subcellular fractions enriched with cytosol, plasma membrane, endosome, or mitochondria, implying organelle-specific ErbB functions. Remarkably, our results demonstrated for the first time that activated ErbB receptors might increase their signaling range through promoting a cytosolic, receptor-free subcomplex, consisting of Shc1, Grb2, Arhgef5, Garem1, and Lrrk1. These findings emphasize the potential of our strategy as a powerful tool to study spatiotemporal dynamics of protein complexes.
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Affiliation(s)
- Shujuan Wang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Cunjie Zhang
- SickKids Research Institute, cell biology 686 Bay St, Toronto, Ontario CAN M5G 0A4, Canada
| | - Mansheng Li
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Chao Zhao
- Bionic Sensing and Intelligence Center, Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Yong Zheng
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
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6
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Mao Y, Chen P, Ke M, Chen X, Ji S, Chen W, Tian R. Fully Integrated and Multiplexed Sample Preparation Technology for Sensitive Interactome Profiling. Anal Chem 2021; 93:3026-3034. [DOI: 10.1021/acs.analchem.0c05076] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Yiheng Mao
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, China
- Department of Chemistry, College of Science, Southern University of Science and Technology, Shenzhen 518055, China
| | - Peizhong Chen
- Department of Chemistry, College of Science, Southern University of Science and Technology, Shenzhen 518055, China
- Department of Chemistry, State Key Laboratory of Synthetic Chemistry, The University of Hong Kong, Hong Kong, SAR 999077, China
| | - Mi Ke
- Department of Chemistry, College of Science, Southern University of Science and Technology, Shenzhen 518055, China
| | - Xiong Chen
- Department of Chemistry, College of Science, Southern University of Science and Technology, Shenzhen 518055, China
| | - Shanping Ji
- Department of Chemistry, College of Science, Southern University of Science and Technology, Shenzhen 518055, China
| | - Wendong Chen
- Department of Chemistry, College of Science, Southern University of Science and Technology, Shenzhen 518055, China
- SUSTech Academy for Advanced Interdisciplinary Studies, College of Science, Southern University of Science and Technology, Shenzhen 518055, China
| | - Ruijun Tian
- Department of Chemistry, College of Science, Southern University of Science and Technology, Shenzhen 518055, China
- Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Southern University of Science and Technology, Shenzhen 518055, China
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7
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Spatiotemporal profiling of cytosolic signaling complexes in living cells by selective proximity proteomics. Nat Commun 2021; 12:71. [PMID: 33397984 PMCID: PMC7782698 DOI: 10.1038/s41467-020-20367-x] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 11/27/2020] [Indexed: 02/02/2023] Open
Abstract
Signaling complexes are often organized in a spatiotemporal manner and on a minute timescale. Proximity labeling based on engineered ascorbate peroxidase APEX2 pioneered in situ capture of spatiotemporal membrane protein complexes in living cells, but its application to cytosolic proteins remains limited due to the high labeling background. Here, we develop proximity labeling probes with increased labeling selectivity. These probes, in combination with label-free quantitative proteomics, allow exploring cytosolic protein assemblies such as phosphotyrosine-mediated protein complexes formed in response to minute-scale EGF stimulation. As proof-of-concept, we systematically profile the spatiotemporal interactome of the EGFR signaling component STS1. For STS1 core complexes, our proximity proteomics approach shows comparable performance to affinity purification-mass spectrometry-based temporal interactome profiling, while also capturing additional—especially endosomally-located—protein complexes. In summary, we provide a generic approach for exploring the interactome of mobile cytosolic proteins in living cells at a temporal resolution of minutes. APEX-based proximity labeling allows capturing protein interaction dynamics but its high labeling background limits its utility for cytosolic proteins. Here, the authors develop more selective proximity labeling probes, enabling the APEX-based characterization of time-resolved cytosolic protein interactomes.
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8
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Yuan H, Dai Z, Zhang X, Zhao B, Chu H, Zhang L, Zhang Y. Fully automated sample treatment method for high throughput proteome analysis. Sci China Chem 2020. [DOI: 10.1007/s11426-020-9878-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
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9
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Zheng J, Chen X, Yang Y, Tan CSH, Tian R. Mass Spectrometry-Based Protein Complex Profiling in Time and Space. Anal Chem 2020; 93:598-619. [DOI: 10.1021/acs.analchem.0c04332] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Jiangnan Zheng
- Department of Chemistry, School of Science, Southern University of Science and Technology, Shenzhen 518055, China
| | - Xiong Chen
- Department of Chemistry, School of Science, Southern University of Science and Technology, Shenzhen 518055, China
| | - Yun Yang
- Department of Chemistry, School of Science, Southern University of Science and Technology, Shenzhen 518055, China
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China
| | - Chris Soon Heng Tan
- Department of Chemistry, School of Science, Southern University of Science and Technology, Shenzhen 518055, China
| | - Ruijun Tian
- Department of Chemistry, School of Science, Southern University of Science and Technology, Shenzhen 518055, China
- Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen 518055, China
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10
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Kong Q, Huang P, Chu B, Ke M, Chen W, Zheng Z, Ji S, Cai Z, Li P, Tian R. High-Throughput and Integrated Chemical Proteomic Approach for Profiling Phosphotyrosine Signaling Complexes. Anal Chem 2020; 92:8933-8942. [PMID: 32539344 DOI: 10.1021/acs.analchem.0c00839] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Phosphotyrosine (pTyr) signaling complexes are important resources of biomarkers and drug targets which often need to be profiled with enough throughput. Current profiling approaches are not feasible to meet this need due to either biased profiling by antibody-based detection or low throughput by traditional affinity purification-mass spectrometry approach (AP-MS), as exemplified by our previously developed photo-pTyr-scaffold approach. To address these limitations, we developed a 96-well microplate-based sample preparation and fast data independent proteomic analysis workflow. By assembling the photo-pTyr-scaffold probe into a 96-well microplate, we achieved steric hindrance-free photoaffinity capture of pTyr signaling complexes, selective enrichment under denaturing conditions, and efficient in-well digestion in a fully integrated manner. EGFR signaling complex proteins could be efficiently captured and identified by using 300 times less cell lysate and 100 times less photo-pTyr-scaffold probe as compared with our previous approach operated in an Eppendorf tube. Furthermore, the lifetime of the photo-pTyr-scaffold probe in a 96-well microplate was significantly extended from 1 week up to 1 month. More importantly, by combining with high-flow nano LC separation and data independent acquisition on the Q Exactive HF-X mass spectrometer, LC-MS time could be significantly reduced to only 35 min per sample without increasing sample loading amount and compromising identification and quantification performance. This new high-throughput proteomic approach allowed us to rapidly and reproducibly profile dynamic pTyr signaling complexes with EGF stimulation at five time points and EGFR inhibitor treatment at five different concentrations. We are therefore optimized for its generic application in biomarkers discovery and drug screening in a high-throughput fashion.
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Affiliation(s)
- Qian Kong
- Department of Chemistry, College of Science, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen 518055, China.,State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR, China
| | - Peiwu Huang
- Department of Chemistry, College of Science, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen 518055, China.,State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR, China
| | - Bizhu Chu
- Department of Chemistry, College of Science, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen 518055, China
| | - Mi Ke
- Department of Chemistry, College of Science, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen 518055, China
| | - Wendong Chen
- Department of Chemistry, College of Science, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen 518055, China.,SUSTech Academy for Advanced Interdisciplinary Studies, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen 518055, China
| | - Zhendong Zheng
- Department of Chemistry, College of Science, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen 518055, China
| | - Shanping Ji
- Department of Chemistry, College of Science, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen 518055, China
| | - Zongwei Cai
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR, China
| | - Pengfei Li
- Department of Chemistry, College of Science, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen 518055, China.,Shenzhen Grubbs Institute, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen 518055, China
| | - Ruijun Tian
- Department of Chemistry, College of Science, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen 518055, China.,Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen 518055, China
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11
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Ye X, Tang J, Mao Y, Lu X, Yang Y, Chen W, Zhang X, Xu R, Tian R. Integrated proteomics sample preparation and fractionation: Method development and applications. Trends Analyt Chem 2019. [DOI: 10.1016/j.trac.2019.115667] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
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12
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Lu M, Wei W. Proximity labeling to detect RNA-protein interactions in live cells. FEBS Open Bio 2019; 9:1860-1868. [PMID: 31350943 PMCID: PMC6823345 DOI: 10.1002/2211-5463.12706] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Accepted: 07/26/2019] [Indexed: 12/22/2022] Open
Abstract
RNA biology is orchestrated by the dynamic interactions of RNAs and RNA-binding proteins (RBPs). In the present study, we describe a new method of proximity-dependent protein labeling to detect RNA-protein interactions [RNA-bound protein proximity labeling (RBPL)]. We selected the well-studied RNA-binding protein PUF to examine the current proximity labeling enzymes birA* and APEX2. A new version of birA*, BASU, was used to validate that the PUF protein binds its RNA motif. We further optimized the RBPL labeling system using an inducible expression system. The RBPL (λN-BASU) labeling experiments exhibited high signal-to-noise ratios. We subsequently determined that RBPL (λN-BASU) is more suitable than RBPL (λN-APEX2) for the detection of RNA-protein interactions in live cells. Interestingly, our results also reveal that proximity labeling is probably capable of biotinylating proximate nascent peptide.
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Affiliation(s)
- Mingxing Lu
- Department of Biomedical SciencesCollege of Veterinary Medicine and Life SciencesCity University of Hong KongKowloon TongHong Kong
| | - Wencheng Wei
- Department of BiologySouthern University of Science and TechnologyShenzhenChina
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13
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Valdés A, Bergström Lind S. Mass Spectrometry-Based Analysis of Time-Resolved Proteome Quantification. Proteomics 2019; 20:e1800425. [PMID: 31652013 DOI: 10.1002/pmic.201800425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Revised: 09/20/2019] [Indexed: 11/09/2022]
Abstract
The aspect of time is essential in biological processes and thus it is important to be able to monitor signaling molecules through time. Proteins are key players in cellular signaling and they respond to many stimuli and change their expression in many time-dependent processes. Mass spectrometry (MS) is an important tool for studying proteins, including their posttranslational modifications and their interaction partners-both in qualitative and quantitative ways. In order to distinguish the different trends over time, proteins, modification sites, and interacting proteins must be compared between different time points, and therefore relative quantification is preferred. In this review, the progress and challenges for MS-based analysis of time-resolved proteome dynamics are discussed. Further, aspects on model systems, technologies, sampling frequencies, and presentation of the dynamic data are discussed.
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Affiliation(s)
- Alberto Valdés
- Department of Analytical Chemistry, Physical Chemistry and Chemical Engineering, University of Alcalá, Ctra. Madrid-Barcelona, Km. 33.600, 28871, Alcalá de Henares, Madrid, Spain
| | - Sara Bergström Lind
- Department of Chemistry-BMC, Analytical Chemistry, Uppsala University, Box 599, 75124, Uppsala, Sweden
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14
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Zheng Z, Chu B, Kong Q, Chen X, Ke M, Qin Y, Lu Y, Feng S, Tian R. High-Throughput Phosphotyrosine Protein Complexes Screening by Photoaffinity-Engineered Protein Scaffold-Based Forward-Phase Protein Array. Anal Chem 2019; 91:10026-10032. [PMID: 31282657 DOI: 10.1021/acs.analchem.9b01845] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Low-abundance phosphotyrosine (pTyr)-mediated signaling protein complexes play critical roles in cancer signaling. The precise and comprehensive profiling of these pTyr-mediated protein complexes remains challenging because of their dynamic nature and weak binding affinity. Taking advantage of the SH2 domains modified with trifunctional chemical probes and genetic mutations (termed Photo-pTyr-scaffold), we developed a Photo-pTyr-scaffold-based forward-phase protein array that can be used to specifically capture complexes by developing an engineered SH2 domain, photoaffinity cross-linking, and antibody-based measuring weak pTyr-mediated protein complexes from complex biological samples in a 96-well microplate format. This platform demonstrated good precision for quantitation (R2 = 0.99) and high sensitivity by which only 5 μg of whole cell lysates is needed. We successfully applied the technology for profiling the dynamic EGF-stimulation-dependent EGFR signaling protein complexes across four different time courses (i.e., 0, 2, 5, 10, and 30 min) in a high-throughput manner. We further evaluated the modulation of EGFR-GRB2-SHC1 protein complexes by FDA-approved EGFR kinase inhibitor erlotinib, demonstrating the feasibility of this approach for high-throughput drug screening. The Photo-pTyr-scaffold-based forward-phase protein array could be generically applicable for exploring the dynamic pTyr signaling complexes in various biological systems and screening for related drugs in a high-throughput manner.
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Affiliation(s)
- Zhendong Zheng
- Key Laboratory of Oil Gas and Fine Chemicals, Ministry of Education and Xinjiang Uyghur Autonomous Region, College of Chemistry and Chemical Engineering , Xinjiang University , Urumqi 830046 , China.,Department of Chemistry , Southern University of Science and Technology , Shenzhen 518055 , China
| | - Bizhu Chu
- Department of Chemistry , Southern University of Science and Technology , Shenzhen 518055 , China
| | - Qian Kong
- Department of Chemistry , Southern University of Science and Technology , Shenzhen 518055 , China
| | - Xiong Chen
- Department of Chemistry , Southern University of Science and Technology , Shenzhen 518055 , China
| | - Mi Ke
- Department of Chemistry , Southern University of Science and Technology , Shenzhen 518055 , China
| | - Yunqiu Qin
- Department of Chemistry , Southern University of Science and Technology , Shenzhen 518055 , China
| | - Yi Lu
- Key Laboratory of Oil Gas and Fine Chemicals, Ministry of Education and Xinjiang Uyghur Autonomous Region, College of Chemistry and Chemical Engineering , Xinjiang University , Urumqi 830046 , China
| | - Shun Feng
- School of Life Science and Engineering , Southwest Jiaotong University , Chengdu 610031 , China
| | - Ruijun Tian
- Department of Chemistry , Southern University of Science and Technology , Shenzhen 518055 , China.,Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research , Shenzhen 518055 , China
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