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Qing D, Chen W, Li J, Lu B, Huang S, Chen L, Zhou W, Pan Y, Huang J, Wu H, Peng Y, Peng D, Chen L, Zhou Y, Dai G, Deng G. TMT-based quantitative proteomics analysis of defense responses induced by the Bph3 gene following brown planthopper infection in rice. BMC PLANT BIOLOGY 2024; 24:1092. [PMID: 39558244 PMCID: PMC11575174 DOI: 10.1186/s12870-024-05799-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2024] [Accepted: 11/07/2024] [Indexed: 11/20/2024]
Abstract
BACKGROUND The brown planthopper (BPH) is an economically significant pest of rice. Bph3 is a key BPH resistance gene. However, the proteomic response of rice to BPH infestation, both in the presence and absence of Bph3, remains largely unexplored. RESULTS In this study, we employed tandem mass tag labeling in conjunction with liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis to identify differentially expressed proteins (DEPs) in rice samples. We detected 265 and 125 DEPs via comparison of samples infected with BPH for 2 and 4 days with untreated samples of the BPH-sensitive line R582. For the Bph3 introgression line R373, we identified 29 and 94 DEPs in the same comparisons. Bioinformatic analysis revealed that Bph3 significantly influences the abundance of proteins associated with metabolic pathways, secondary metabolite biosynthesis, microbial metabolism in diverse environments, and phenylpropanoid biosynthesis. Moreover, Bph3 regulates the activity of proteins involved in the calcium signaling pathway, mitogen-activated protein kinase (MAPK) signaling pathway, and plant hormone signal transduction. CONCLUSIONS Our results indicate that Bph3 enhances the resistance of rice to BPH mainly by inhibiting the down-regulation of proteins associated with metabolic pathways; calcium signaling, the MAPK signaling pathway, and plant hormone signal transduction might also be involved in BPH resistance induced by Bph3.
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Affiliation(s)
- Dongjin Qing
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, State Key Laboratory for Conservation and Utillzation of Subtropical Agro-bioresources, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China
| | - Weiwei Chen
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, State Key Laboratory for Conservation and Utillzation of Subtropical Agro-bioresources, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China
| | - Jingcheng Li
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, State Key Laboratory for Conservation and Utillzation of Subtropical Agro-bioresources, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China
| | - Baiyi Lu
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, State Key Laboratory for Conservation and Utillzation of Subtropical Agro-bioresources, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China
| | - Suosheng Huang
- Plant Protection Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China
| | - Li Chen
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, State Key Laboratory for Conservation and Utillzation of Subtropical Agro-bioresources, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China
| | - Weiyong Zhou
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, State Key Laboratory for Conservation and Utillzation of Subtropical Agro-bioresources, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China
| | - Yinghua Pan
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, State Key Laboratory for Conservation and Utillzation of Subtropical Agro-bioresources, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China
| | - Juan Huang
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, State Key Laboratory for Conservation and Utillzation of Subtropical Agro-bioresources, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China
| | - Hao Wu
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, State Key Laboratory for Conservation and Utillzation of Subtropical Agro-bioresources, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China
| | - Yujing Peng
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, State Key Laboratory for Conservation and Utillzation of Subtropical Agro-bioresources, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China
| | - De Peng
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, State Key Laboratory for Conservation and Utillzation of Subtropical Agro-bioresources, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China
| | - Lei Chen
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, State Key Laboratory for Conservation and Utillzation of Subtropical Agro-bioresources, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China
| | - Yan Zhou
- School of Chemistry and Chemical Engineering, Key Laboratory of Chemistry and Engineering of Forest Products, Guangxi Minzu University, Nanning, 530006, China.
| | - Gaoxing Dai
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, State Key Laboratory for Conservation and Utillzation of Subtropical Agro-bioresources, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China.
| | - Guofu Deng
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, State Key Laboratory for Conservation and Utillzation of Subtropical Agro-bioresources, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China.
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Marques DN, Piotto FA, Azevedo RA. Phosphoproteomics: Advances in Research on Cadmium-Exposed Plants. Int J Mol Sci 2024; 25:12431. [PMID: 39596496 PMCID: PMC11594898 DOI: 10.3390/ijms252212431] [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: 11/09/2024] [Revised: 11/17/2024] [Accepted: 11/18/2024] [Indexed: 11/28/2024] Open
Abstract
With the increasing concern on heavy metal contamination in agriculture and other environmental settings, unraveling the mechanisms of cadmium (Cd) tolerance and response in plants has become highly important. Ongoing plant Cd research over the years has focused on strategic and relevant aspects, including molecular, biochemical, and physiological processes. From this perspective, phosphoproteomics appears to be an innovative and powerful approach to investigating plant responses to Cd stress. Here, we summarize progress in plant Cd research across different plant species regarding large-scale phosphoproteomic investigations. Some studies revealed major proteins participating in detoxification, stress signaling, and metabolism, along with their regulation through phosphorylation, which modulates the plant's defense against Cd. However, many pathways remain unexplored. Expanding these studies will help our ability to alleviate Cd stress and provide further information concerning involved mechanisms. Our purpose is to inspire researchers to further explore the use of phosphoproteomics in unraveling such complex mechanisms of Cd tolerance and response across various plant species, with the ultimate aim of enhancing strategies for mitigating Cd stress in agriculture and polluted environments.
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Affiliation(s)
- Deyvid Novaes Marques
- Department of Genetics, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba 13418-900, São Paulo (SP), Brazil
- Boyce Thompson Institute, Cornell University, Ithaca, NY 14853, USA
| | - Fernando Angelo Piotto
- Department of Genetics, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba 13418-900, São Paulo (SP), Brazil
| | - Ricardo Antunes Azevedo
- Department of Genetics, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba 13418-900, São Paulo (SP), Brazil
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Moradi A, Lung SC, Chye ML. Interaction of Soybean ( Glycine max (L.) Merr.) Class II ACBPs with MPK2 and SAPK2 Kinases: New Insights into the Regulatory Mechanisms of Plant ACBPs. PLANTS (BASEL, SWITZERLAND) 2024; 13:1146. [PMID: 38674555 PMCID: PMC11055065 DOI: 10.3390/plants13081146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 04/06/2024] [Accepted: 04/18/2024] [Indexed: 04/28/2024]
Abstract
Plant acyl-CoA-binding proteins (ACBPs) function in plant development and stress responses, with some ACBPs interacting with protein partners. This study tested the interaction between two Class II GmACBPs (Glycine max ACBPs) and seven kinases, using yeast two-hybrid (Y2H) assays and bimolecular fluorescence complementation (BiFC). The results revealed that both GmACBP3.1 and GmACBP4.1 interact with two soybean kinases, a mitogen-activated protein kinase MPK2, and a serine/threonine-protein kinase SAPK2, highlighting the significance of the ankyrin-repeat (ANK) domain in facilitating protein-protein interactions. Moreover, an in vitro kinase assay and subsequent Phos-tag SDS-PAGE determined that GmMPK2 and GmSAPK2 possess the ability to phosphorylate Class II GmACBPs. Additionally, the kinase-specific phosphosites for Class II GmACBPs were predicted using databases. The HDOCK server was also utilized to predict the binding models of Class II GmACBPs with these two kinases, and the results indicated that the affected residues were located in the ANK region of Class II GmACBPs in both docking models, aligning with the findings of the Y2H and BiFC experiments. This is the first report describing the interaction between Class II GmACBPs and kinases, suggesting that Class II GmACBPs have potential as phospho-proteins that impact signaling pathways.
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Affiliation(s)
| | - Shiu-Cheung Lung
- School of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong, China;
| | - Mee-Len Chye
- School of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong, China;
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Yang N, Ren J, Dai S, Wang K, Leung M, Lu Y, An Y, Burlingame A, Xu S, Wang Z, Yu W, Li N. The Quantitative Biotinylproteomics Studies Reveal a WInd-Related Kinase 1 (Raf-Like Kinase 36) Functioning as an Early Signaling Component in Wind-Induced Thigmomorphogenesis and Gravitropism. Mol Cell Proteomics 2024; 23:100738. [PMID: 38364992 PMCID: PMC10951710 DOI: 10.1016/j.mcpro.2024.100738] [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: 08/04/2023] [Revised: 01/31/2024] [Accepted: 02/08/2024] [Indexed: 02/18/2024] Open
Abstract
Wind is one of the most prevalent environmental forces entraining plants to develop various mechano-responses, collectively called thigmomorphogenesis. Largely unknown is how plants transduce these versatile wind force signals downstream to nuclear events and to the development of thigmomorphogenic phenotype or anemotropic response. To identify molecular components at the early steps of the wind force signaling, two mechanical signaling-related phosphoproteins, identified from our previous phosphoproteomic study of Arabidopsis touch response, mitogen-activated protein kinase kinase 1 (MKK1) and 2 (MKK2), were selected for performing in planta TurboID (ID)-based quantitative proximity-labeling (PL) proteomics. This quantitative biotinylproteomics was separately performed on MKK1-ID and MKK2-ID transgenic plants, respectively, using the genetically engineered TurboID biotin ligase expression transgenics as a universal control. This unique PTM proteomics successfully identified 11 and 71 MKK1 and MKK2 putative interactors, respectively. Biotin occupancy ratio (BOR) was found to be an alternative parameter to measure the extent of proximity and specificity between the proximal target proteins and the bait fusion protein. Bioinformatics analysis of these biotinylprotein data also found that TurboID biotin ligase favorably labels the loop region of target proteins. A WInd-Related Kinase 1 (WIRK1), previously known as rapidly accelerated fibrosarcoma (Raf)-like kinase 36 (RAF36), was found to be a putative common interactor for both MKK1 and MKK2 and preferentially interacts with MKK2. Further molecular biology studies of the Arabidopsis RAF36 kinase found that it plays a role in wind regulation of the touch-responsive TCH3 and CML38 gene expression and the phosphorylation of a touch-regulated PATL3 phosphoprotein. Measurement of leaf morphology and shoot gravitropic response of wirk1 (raf36) mutant revealed that the WIRK1 gene is involved in both wind-triggered rosette thigmomorphogenesis and gravitropism of Arabidopsis stems, suggesting that the WIRK1 (RAF36) protein probably functioning upstream of both MKK1 and MKK2 and that it may serve as the crosstalk point among multiple mechano-signal transduction pathways mediating both wind mechano-response and gravitropism.
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Affiliation(s)
- Nan Yang
- Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong SAR, China
| | - Jia Ren
- Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong SAR, China
| | - Shuaijian Dai
- Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong SAR, China
| | - Kai Wang
- Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong SAR, China
| | - Manhin Leung
- Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong SAR, China
| | - Yinglin Lu
- Institute of Nanfan and Seed Industry, Guangdong Academy of Sciences, Guangzhou, Guangdong, China
| | - Yuxing An
- Institute of Nanfan and Seed Industry, Guangdong Academy of Sciences, Guangzhou, Guangdong, China
| | - Al Burlingame
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California, USA
| | - Shouling Xu
- Department of Plant Biology, Carnegie Institution for Science, Stanford, California, USA
| | - Zhiyong Wang
- Department of Plant Biology, Carnegie Institution for Science, Stanford, California, USA
| | - Weichuan Yu
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China.
| | - Ning Li
- Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong SAR, China; Shenzhen Research Institute, The Hong Kong University of Science and Technology, Shenzhen, Guangdong, China.
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Li Q, Li M, Ma H, Xue M, Chen T, Ding X, Zhang S, Xiao J. Quantitative Phosphoproteomic Analysis Provides Insights into the Sodium Bicarbonate Responsiveness of Glycine max. Biomolecules 2023; 13:1520. [PMID: 37892202 PMCID: PMC10605096 DOI: 10.3390/biom13101520] [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: 08/11/2023] [Revised: 09/24/2023] [Accepted: 10/06/2023] [Indexed: 10/29/2023] Open
Abstract
Sodium bicarbonate stress caused by NaHCO3 is one of the most severe abiotic stresses affecting agricultural production worldwide. However, little attention has been given to the molecular mechanisms underlying plant responses to sodium bicarbonate stress. To understand phosphorylation events in signaling pathways triggered by sodium bicarbonate stress, TMT-labeling-based quantitative phosphoproteomic analyses were performed on soybean leaf and root tissues under 50 mM NaHCO3 treatment. In the present study, a total of 7856 phosphopeptides were identified from cultivated soybeans (Glycine max L. Merr.), representing 3468 phosphoprotein groups, in which 2427 phosphoprotein groups were newly identified. These phosphoprotein groups contained 6326 unique high-probability phosphosites (UHPs), of which 77.2% were newly identified, increasing the current soybean phosphosite database size by 43.4%. Among the phosphopeptides found in this study, we determined 67 phosphopeptides (representing 63 phosphoprotein groups) from leaf tissue and 554 phosphopeptides (representing 487 phosphoprotein groups) from root tissue that showed significant changes in phosphorylation levels under sodium bicarbonate stress (fold change >1.2 or <0.83, respectively; p < 0.05). Localization prediction showed that most phosphoproteins localized in the nucleus for both leaf and root tissues. GO and KEGG enrichment analyses showed quite different enriched functional terms between leaf and root tissues, and more pathways were enriched in the root tissue than in the leaf tissue. Moreover, a total of 53 different protein kinases and 7 protein phosphatases were identified from the differentially expressed phosphoproteins (DEPs). A protein kinase/phosphatase interactor analysis showed that the interacting proteins were mainly involved in/with transporters/membrane trafficking, transcriptional level regulation, protein level regulation, signaling/stress response, and miscellaneous functions. The results presented in this study reveal insights into the function of post-translational modification in plant responses to sodium bicarbonate stress.
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Affiliation(s)
- Qiang Li
- Key Laboratory of Soybean Biology of Chinese Education Ministry, Harbin 150030, China; (Q.L.)
- Key Laboratory of Agricultural Biological Functional Genes, Northeast Agricultural University, Harbin 150030, China
| | - Minglong Li
- Key Laboratory of Agricultural Biological Functional Genes, Northeast Agricultural University, Harbin 150030, China
| | - Huiying Ma
- Key Laboratory of Agricultural Biological Functional Genes, Northeast Agricultural University, Harbin 150030, China
| | - Man Xue
- Key Laboratory of Agricultural Biological Functional Genes, Northeast Agricultural University, Harbin 150030, China
| | - Tong Chen
- Key Laboratory of Agricultural Biological Functional Genes, Northeast Agricultural University, Harbin 150030, China
| | - Xiaodong Ding
- Key Laboratory of Soybean Biology of Chinese Education Ministry, Harbin 150030, China; (Q.L.)
- Key Laboratory of Agricultural Biological Functional Genes, Northeast Agricultural University, Harbin 150030, China
| | - Shuzhen Zhang
- Key Laboratory of Soybean Biology of Chinese Education Ministry, Harbin 150030, China; (Q.L.)
| | - Jialei Xiao
- Key Laboratory of Soybean Biology of Chinese Education Ministry, Harbin 150030, China; (Q.L.)
- Key Laboratory of Agricultural Biological Functional Genes, Northeast Agricultural University, Harbin 150030, China
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Qing D, Chen W, Huang S, Li J, Pan Y, Zhou W, Liang Q, Yuan J, Gan D, Chen L, Chen L, Huang J, Zhou Y, Dai G, Deng G. Editing of rice (Oryza sativa L.) OsMKK3 gene using CRISPR/Cas9 decreases grain length by modulating the expression of photosystem components. Proteomics 2023; 23:e2200538. [PMID: 37376803 DOI: 10.1002/pmic.202200538] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 06/14/2023] [Accepted: 06/15/2023] [Indexed: 06/29/2023]
Abstract
Grain size is one of the most important agronomic traits for grain yield determination in rice. To better understand the proteins that are regulated by the grain size regulatory gene OsMKK3, this gene was knocked out using the CRISPR/Cas9 system, and tandem mass tag (TMT) labeling combined with liquid chromatograph-tandem mass spectrometry analysis was performed to study the regulation of proteins in the panicle. Quantitative proteomic screening revealed a total of 106 differentially expressed proteins (DEPs) via comparison of the OsMKK3 mutant line to the wild-type YexiangB, including 15 and 91 up-regulated and down-regulated DEPs, respectively. Pathway analysis revealed that DEPs were enriched in metabolic pathways, biosynthesis of secondary metabolites, phenylpropanoid biosynthesis, and photosynthesis. Strong interactions were detected among seven down-regulated proteins related to photosystem components in the protein-protein interaction network, and photosynthetic rate was decreased in mutant plants. The results of the liquid chromatography-parallel reaction monitoring/mass spectromery analysis and western blot analysis were consistent with the results of the proteomic analysis, and the results of the quantitative reverse transcription polymerase chain reaction analysis revealed that the expression levels of most candidate genes were consistent with protein levels. Overall, OsMKK3 controls grain size by regulating the protein content in cells. Our findings provide new candidate genes that will aid the study of grain size regulatory mechanisms associated with the mitogen-activated protein kinase (MAPK) signaling pathway.
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Affiliation(s)
- Dongjin Qing
- Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Nanning, China
| | - Weiwei Chen
- Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Nanning, China
| | - Suosheng Huang
- Guangxi Academy of Agricultural Sciences, Plant Protection Research Institute, Nanning, China
| | - Jingcheng Li
- Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Nanning, China
| | - Yinghua Pan
- Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Nanning, China
| | - Weiyong Zhou
- Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Nanning, China
| | - Qiongyue Liang
- Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Nanning, China
| | - Jinghua Yuan
- Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Nanning, China
| | - Dongmei Gan
- Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Nanning, China
| | - Li Chen
- Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Nanning, China
| | - Lei Chen
- Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Nanning, China
| | - Juan Huang
- Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Nanning, China
| | - Yan Zhou
- Key Laboratory of Chemistry and Engineering of Forest Products, School of Chemistry and Chemical Engineering, Guangxi Minzu University, Nanning, China
| | - Gaoxing Dai
- Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Nanning, China
| | - Guofu Deng
- Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Nanning, China
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Zhou C, Dai S, Lin Y, Lian S, Fan X, Li N, Yu W. Exhaustive Cross-Linking Search with Protein Feedback. J Proteome Res 2023; 22:101-113. [PMID: 36480279 DOI: 10.1021/acs.jproteome.2c00500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Improving the sensitivity of protein-protein interaction detection and protein structure probing is a principal challenge in cross-linking mass spectrometry (XL-MS) data analysis. In this paper, we propose an exhaustive cross-linking search method with protein feedback (ECL-PF) for cleavable XL-MS data analysis. ECL-PF adopts an optimized α/β mass detection scheme and establishes protein-peptide association during the identification of cross-linked peptides. Existing major scoring functions can all benefit from the ECL-PF workflow to a great extent. In comparisons using synthetic data sets and hybrid simulated data sets, ECL-PF achieved 3-fold higher sensitivity over standard techniques. In experiments using real data sets, it also identified 65.6% more cross-link spectrum matches and 48.7% more unique cross-links.
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Affiliation(s)
- Chen Zhou
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong 999077, China
| | - Shuaijian Dai
- Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong 999077, China
| | - Yuanqiao Lin
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong 999077, China
| | - Sheng Lian
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong 999077, China
| | - Xiaodan Fan
- Department of Statistics, The Chinese University of Hong Kong, Hong Kong 999077, China
| | - Ning Li
- Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong 999077, China.,HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute, Futian, Shenzhen, 518000, China
| | - Weichuan Yu
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong 999077, China.,HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute, Futian, Shenzhen, 518000, China
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