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Lu G, Ying G, He Y, Li Y, Zhang Z. Integrated MICROFASP Method with CZE-Based Fractionation Technique and NanoRPLC-ESI-MS/MS for a Comprehensive Proteomics Analysis of a Submicrogram Sample. J Proteome Res 2024; 23:3696-3703. [PMID: 39013029 DOI: 10.1021/acs.jproteome.4c00396] [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] [Indexed: 07/18/2024]
Abstract
We report a loss-less two-dimensional (2D) separation platform that integrated capillary zone electrophoresis (CZE) fractionation and nanoRPLC-ESI-MS/MS for a comprehensive proteomics analysis of a submicrogram sample. Protein digest was injected into the linear polyacrylamide-coated capillary, followed by CZE separation. The schemes for collecting the fractions were carefully optimized to maximize the protein coverage. The peptide fractions were directly eluted into the autosampler insert vials, followed by the nanoRPLC-ESI-MS/MS analysis without lyophilization and redissolution, thus dramatically minimizing sample loss and potential contamination. The integrated platform generated 30,845 unique peptides and 5231 protein groups from 500 ng of a HeLa protein digest within 11.5 h (90 min CZE fractionation plus 10 h LC-MS analysis). Finally, the developed platform was used to analyze the protein digest prepared by the MICROFASP method with 1 μg of cell lysate as the starting material. Three thousand seven hundred ninety-six (N = 2, RSD = 4.95%) protein groups and 20,577 (N = 2, RSD = 7.89%) peptides were identified from only 200 ng of the resulted tryptic digest within 5.5 h. The results indicated that the combination of the MICROFASP method and the developed CZE/nanoRPLC-MS/MS 2D separation platform enabled comprehensive proteome profiling of a submicrogram biological sample. Data are available via ProteomeXchange with the identifier PXD052735.
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Affiliation(s)
- Gang Lu
- Institute of Drug Discovery Technology, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Guojin Ying
- Institute of Drug Discovery Technology, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Yu He
- Institute of Drug Discovery Technology, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Yang Li
- Institute of Drug Discovery Technology, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Zhenbin Zhang
- Institute of Drug Discovery Technology, Ningbo University, Ningbo, Zhejiang 315211, China
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2
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Lu J, Chen XZ, Liu Y, Liu YJ, Liu B. Trends in confinement-induced cell migration and multi-omics analysis. Anal Bioanal Chem 2024; 416:2107-2115. [PMID: 38135761 DOI: 10.1007/s00216-023-05109-4] [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: 10/14/2023] [Revised: 11/24/2023] [Accepted: 11/30/2023] [Indexed: 12/24/2023]
Abstract
Cell migration is an essential manner of different cell lines that are involved in embryological development, immune responses, tumorigenesis, and metastasis in vivo. Physical confinement derived from crowded tissue microenvironments has pivotal effects on migratory behaviors. Distinct migration modes under a heterogeneous extracellular matrix (ECM) have been extensively studied, uncovering potential molecular mechanisms involving a series of biological processes. Significantly, multi-omics strategies have been launched to provide multi-angle views of complex biological phenomena, facilitating comprehensive insights into molecular regulatory networks during cell migration. In this review, we describe biomimetic devices developed to explore the migratory behaviors of cells induced by different types of confined microenvironments in vitro. We also discuss the results of multi-omics analysis of intrinsic molecular alterations and critical pathway dysregulations of cell migration under heterogeneous microenvironments, highlighting the significance of physical confinement-triggered intracellular signal transduction in order to regulate cellular behaviors. Finally, we discuss both the challenges and promise of mechanistic analysis in confinement-induced cell migration, promoting the development of early diagnosis and precision therapeutics.
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Affiliation(s)
- Jiayin Lu
- Department of ChemistryState Key Lab of Molecular Engineering of PolymersShanghai Key Laboratory of Medical Epigenetics, Institutes of Biomedical Sciences, Shanghai Stomatological HospitalShanghai Xuhui Central Hospital, Zhongshan-Xuhui HospitalFudan University, Shanghai, China
| | - Xue-Zhu Chen
- Department of ChemistryState Key Lab of Molecular Engineering of PolymersShanghai Key Laboratory of Medical Epigenetics, Institutes of Biomedical Sciences, Shanghai Stomatological HospitalShanghai Xuhui Central Hospital, Zhongshan-Xuhui HospitalFudan University, Shanghai, China
| | - Yixin Liu
- Department of ChemistryState Key Lab of Molecular Engineering of PolymersShanghai Key Laboratory of Medical Epigenetics, Institutes of Biomedical Sciences, Shanghai Stomatological HospitalShanghai Xuhui Central Hospital, Zhongshan-Xuhui HospitalFudan University, Shanghai, China
| | - Yan-Jun Liu
- Department of ChemistryState Key Lab of Molecular Engineering of PolymersShanghai Key Laboratory of Medical Epigenetics, Institutes of Biomedical Sciences, Shanghai Stomatological HospitalShanghai Xuhui Central Hospital, Zhongshan-Xuhui HospitalFudan University, Shanghai, China.
| | - Baohong Liu
- Department of ChemistryState Key Lab of Molecular Engineering of PolymersShanghai Key Laboratory of Medical Epigenetics, Institutes of Biomedical Sciences, Shanghai Stomatological HospitalShanghai Xuhui Central Hospital, Zhongshan-Xuhui HospitalFudan University, Shanghai, China.
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3
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Wu C, Lei J, Meng F, Wang X, Wong CJ, Peng J, Lin G, Gingras AC, Ma J, Zhang S. Trace Sample Proteome Quantification by Data-Dependent Acquisition without Dynamic Exclusion. Anal Chem 2023; 95:17981-17987. [PMID: 38032138 PMCID: PMC10719888 DOI: 10.1021/acs.analchem.3c03357] [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: 07/28/2023] [Revised: 11/07/2023] [Accepted: 11/09/2023] [Indexed: 12/01/2023]
Abstract
Despite continuous technological improvements in sample preparation, mass-spectrometry-based proteomics for trace samples faces the challenges of sensitivity, quantification accuracy, and reproducibility. Herein, we explored the applicability of turboDDA (a method that uses data-dependent acquisition without dynamic exclusion) for quantitative proteomics of trace samples. After systematic optimization of acquisition parameters, we compared the performance of turboDDA with that of data-dependent acquisition with dynamic exclusion (DEDDA). By benchmarking the analysis of trace unlabeled human cell digests, turboDDA showed substantially better sensitivity in comparison with DEDDA, whether for unfractionated or high pH fractionated samples. Furthermore, through designing an iTRAQ-labeled three-proteome model (i.e., tryptic digest of protein lysates from yeast, human, and E. coli) to document the interference effect, we evaluated the quantification interference, accuracy, reproducibility of iTRAQ labeled trace samples, and the impact of PIF (precursor intensity fraction) cutoff for different approaches (turboDDA and DEDDA). The results showed that improved quantification accuracy and reproducibility could be achieved by turboDDA, while a more stringent PIF cutoff resulted in more accurate quantification but less peptide identification for both approaches. Finally, the turboDDA strategy was applied to the differential analysis of limited amounts of human lung cancer cell samples, showing great promise in trace proteomics sample analysis.
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Affiliation(s)
- Ci Wu
- Department
of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Georgetown University, Washington D.C. 20007, United States
| | - Jiao Lei
- Clinical
Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-XIANGYA, Changsha, Hunan 410000, China
| | - Fei Meng
- Clinical
Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-XIANGYA, Changsha, Hunan 410000, China
| | - Xingyao Wang
- National
& Local Joint Engineering Laboratory of Animal Peptide Drug Development,
College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, China
| | - Cassandra J. Wong
- Lunenfeld-Tanenbaum
Research Institute, Toronto, Ontario M5G 1X5, Canada
| | - Jiaxi Peng
- Department
of Chemistry, University of Toronto, Toronto, Ontario M5S 3G9, Canada
| | - Ge Lin
- Clinical
Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-XIANGYA, Changsha, Hunan 410000, China
| | - Anne-Claude Gingras
- Lunenfeld-Tanenbaum
Research Institute, Toronto, Ontario M5G 1X5, Canada
- Department
of Molecular Genetics, University of Toronto, Toronto, Ontario M5G 1X8, Canada
| | - Junfeng Ma
- Department
of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Georgetown University, Washington D.C. 20007, United States
| | - Shen Zhang
- Clinical
Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-XIANGYA, Changsha, Hunan 410000, China
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Wang YJ, Liang H, Liu Y, Bao Q, Yang S, Xu XX, Chen YC, Liu W, Shi X, Shi Y, Liu X, Liu B, Gao H, Jiu Y, Liu YJ. Lamin A/C and Vimentin as a Coordinated Regulator during Amoeboid Migration in Microscale Confined Microenvironments. NANO LETTERS 2023; 23:6727-6735. [PMID: 37459599 DOI: 10.1021/acs.nanolett.3c02096] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/27/2023]
Abstract
Cell migration occurs in confined microenvironments, which plays a vital role in the process of tumor metastasis. However, it is challenging to study their behaviors in vivo. Here we developed a cell squeeze system that can be scaled down to micrometers to mimic native physical confined microenvironments, wherein degrees of surface adhesion and mechanical constraints could be manipulated in order to investigate cell-migrating behaviors. Based on the microscale cell squeeze system, we found the synergistic role of lamin A/C and vimentin in cell transition and migration under strong confinement. The dynamic variations in lamin A/C and vimentin expression establish a positive feedback loop in response to confinement, effectively promoting amoeboid migration by modulating nuclear deformability while ensuring cell viability. This work shed light on modulating cell response to microenvironments by altering the expression of lamin A/C and/or vimentin, which may be a more efficient way of inhibiting cancer metastasis.
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Affiliation(s)
- Ya-Jun Wang
- Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Shanghai Key Laboratory of Medical Epigenetics, Shanghai Stomatological Hospital, Institutes of Biomedical Sciences, Department of Chemistry, Fudan University, Shanghai 200032, China
| | - Hong Liang
- Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Shanghai Key Laboratory of Medical Epigenetics, Shanghai Stomatological Hospital, Institutes of Biomedical Sciences, Department of Chemistry, Fudan University, Shanghai 200032, China
| | - Yixin Liu
- Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Shanghai Key Laboratory of Medical Epigenetics, Shanghai Stomatological Hospital, Institutes of Biomedical Sciences, Department of Chemistry, Fudan University, Shanghai 200032, China
| | - Qiyuan Bao
- Department of Orthopaedics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory for Bone and Joint Diseases, Shanghai Institute of Traumatology and Orthopedics, Shanghai 200025, China
| | - Shuang Yang
- Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Shanghai Key Laboratory of Medical Epigenetics, Shanghai Stomatological Hospital, Institutes of Biomedical Sciences, Department of Chemistry, Fudan University, Shanghai 200032, China
| | - Xin-Xin Xu
- Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Shanghai Key Laboratory of Medical Epigenetics, Shanghai Stomatological Hospital, Institutes of Biomedical Sciences, Department of Chemistry, Fudan University, Shanghai 200032, China
| | - Yu-Chen Chen
- Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Shanghai Key Laboratory of Medical Epigenetics, Shanghai Stomatological Hospital, Institutes of Biomedical Sciences, Department of Chemistry, Fudan University, Shanghai 200032, China
| | - Wei Liu
- Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Shanghai Key Laboratory of Medical Epigenetics, Shanghai Stomatological Hospital, Institutes of Biomedical Sciences, Department of Chemistry, Fudan University, Shanghai 200032, China
| | - Xuemeng Shi
- The Center for Microbes, Development and Health, Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yuheng Shi
- Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Shanghai Key Laboratory of Medical Epigenetics, Shanghai Stomatological Hospital, Institutes of Biomedical Sciences, Department of Chemistry, Fudan University, Shanghai 200032, China
| | - Xiaohui Liu
- Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Shanghai Key Laboratory of Medical Epigenetics, Shanghai Stomatological Hospital, Institutes of Biomedical Sciences, Department of Chemistry, Fudan University, Shanghai 200032, China
| | - Baohong Liu
- Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Shanghai Key Laboratory of Medical Epigenetics, Shanghai Stomatological Hospital, Institutes of Biomedical Sciences, Department of Chemistry, Fudan University, Shanghai 200032, China
| | - Hai Gao
- Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Shanghai Key Laboratory of Medical Epigenetics, Shanghai Stomatological Hospital, Institutes of Biomedical Sciences, Department of Chemistry, Fudan University, Shanghai 200032, China
| | - Yaming Jiu
- The Center for Microbes, Development and Health, Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yan-Jun Liu
- Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Shanghai Key Laboratory of Medical Epigenetics, Shanghai Stomatological Hospital, Institutes of Biomedical Sciences, Department of Chemistry, Fudan University, Shanghai 200032, China
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Hou Z, Liu H. Mapping the Protein Kinome: Current Strategy and Future Direction. Cells 2023; 12:cells12060925. [PMID: 36980266 PMCID: PMC10047437 DOI: 10.3390/cells12060925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 02/23/2023] [Accepted: 03/13/2023] [Indexed: 03/30/2023] Open
Abstract
The kinome includes over 500 different protein kinases, which form an integrated kinase network that regulates cellular phosphorylation signals. The kinome plays a central role in almost every cellular process and has strong linkages with many diseases. Thus, the evaluation of the cellular kinome in the physiological environment is essential to understand biological processes, disease development, and to target therapy. Currently, a number of strategies for kinome analysis have been developed, which are based on monitoring the phosphorylation of kinases or substrates. They have enabled researchers to tackle increasingly complex biological problems and pathological processes, and have promoted the development of kinase inhibitors. Additionally, with the increasing interest in how kinases participate in biological processes at spatial scales, it has become urgent to develop tools to estimate spatial kinome activity. With multidisciplinary efforts, a growing number of novel approaches have the potential to be applied to spatial kinome analysis. In this paper, we review the widely used methods used for kinome analysis and the challenges encountered in their applications. Meanwhile, potential approaches that may be of benefit to spatial kinome study are explored.
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Affiliation(s)
- Zhanwu Hou
- Center for Mitochondrial Biology and Medicine, Douglas C. Wallace Institute for Mitochondrial and Epigenetic Information Sciences, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China
| | - Huadong Liu
- School of Health and Life Science, University of Health and Rehabilitation Sciences, Qingdao 266071, China
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Zhao H, Chen Y, Li H, Zhang Y, Zhang W, Qin W. An angled-shape tip-based strategy for highly sensitive proteomic profiling of a low number of cells. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:1215-1222. [PMID: 36804579 DOI: 10.1039/d2ay01884e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Profiling proteins plays an essential role in understanding the functions and dynamic networks in biological systems. Mass spectrometry-based proteomic analysis commonly requires multistep sample processing, which results in severe sample loss. Although the recently developed microproteomic strategies have substantially reduced sample loss via droplet microfluidic technology, specialized equipment and well-trained personnel are needed, which may limit their wide adoption. Here, we report an angled-shape tip-based strategy for rapid sample preparation and sensitive proteomic profiling of small cell populations (<1000 cells). The angled-shape tip provided a 'reactor' for the entire proteomic sample processing workflow, from cell capture and lysis to protein digestion, eliminating the sample transfer-induced protein loss. The angled-shape tip was surface-treated for anti-protein adsorption which further reduced the sample loss. Using this strategy, 1241 ± 38-4110 ± 37 protein groups and 4010 ± 700-34 879 ± 575 peptides were identified from 10-1000 HeLa cells with high quantification reproducibility in only 4.5 h sample processing time, which was superior to the reported methods and commercial kits, especially for <100 cells. This approach was easily accessible, straightforward to operate, and compatible with flow cytometry-based cell sorting. It showed great potential for in-depth proteomic profiling of rare cells (<1000 cells) in both basic biological research and clinical application.
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Affiliation(s)
- Hongxian Zhao
- National Center for Protein Sciences Beijing, State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing 102206, P. R. China.
| | - Yongle Chen
- National Center for Protein Sciences Beijing, State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing 102206, P. R. China.
| | - Hang Li
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, P. R. China
| | - Yangjun Zhang
- National Center for Protein Sciences Beijing, State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing 102206, P. R. China.
| | - Wanjun Zhang
- National Center for Protein Sciences Beijing, State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing 102206, P. R. China.
| | - Weijie Qin
- National Center for Protein Sciences Beijing, State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing 102206, P. R. China.
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