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León-Lara X, Fichtner AS, Willers M, Yang T, Schaper K, Riemann L, Schöning J, Harms A, Almeida V, Schimrock A, Janssen A, Ospina-Quintero L, von Kaisenberg C, Förster R, Eberl M, Richter MF, Pirr S, Viemann D, Ravens S. γδ T cell profiling in a cohort of preterm infants reveals elevated frequencies of CD83+ γδ T cells in sepsis. J Exp Med 2024; 221:e20231987. [PMID: 38753245 PMCID: PMC11098939 DOI: 10.1084/jem.20231987] [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: 10/30/2023] [Revised: 03/06/2024] [Accepted: 04/22/2024] [Indexed: 05/19/2024] Open
Abstract
Preterm infants are at high risk of developing neonatal sepsis. γδ T cells are thought to be an important set of effector cells in neonates. Here, γδ T cells were investigated in a longitudinal cohort of preterm neonates using next-generation sequencing, flow cytometry, and functional assays. During the first year of life, the Vγ9Vδ2 T cell subset showed dynamic phenotypic changes and elevated levels of fetal-derived Vγ9Vδ2 T cells were evident in infants with sepsis. Single-cell transcriptomics identified HLA-DRhiCD83+ γδ T cells in neonatal sepsis, which expressed genes related to antigen presentation. In vitro assays showed that CD83 was expressed on activated Vγ9Vδ2 T cells in preterm and term neonates, but not in adults. In contrast, activation of adult Vγ9Vδ2 T cells enhanced CD86 expression, which was presumably the key receptor to induce CD4 T cell proliferation. Together, we provide a map of the maturation of γδ T cells after preterm birth and highlight their phenotypic diversity in infections.
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MESH Headings
- Humans
- Infant, Newborn
- Receptors, Antigen, T-Cell, gamma-delta/metabolism
- Receptors, Antigen, T-Cell, gamma-delta/immunology
- Infant, Premature/immunology
- Antigens, CD/metabolism
- Antigens, CD/genetics
- CD83 Antigen
- Membrane Glycoproteins/metabolism
- Membrane Glycoproteins/genetics
- Female
- Male
- Sepsis/immunology
- Cohort Studies
- T-Lymphocyte Subsets/immunology
- T-Lymphocyte Subsets/metabolism
- Adult
- Lymphocyte Activation/immunology
- Neonatal Sepsis/immunology
- Infant
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Affiliation(s)
- Ximena León-Lara
- Institute of Immunology, Hannover Medical School, Hannover, Germany
| | | | - Maike Willers
- Department of Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
| | - Tao Yang
- Institute of Immunology, Hannover Medical School, Hannover, Germany
| | | | - Lennart Riemann
- Institute of Immunology, Hannover Medical School, Hannover, Germany
- Department of Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
| | - Jennifer Schöning
- Translational Pediatrics, Department of Pediatrics, University Hospital Wuerzburg, Wuerzburg, Germany
| | - Anna Harms
- Institute of Immunology, Hannover Medical School, Hannover, Germany
| | - Vicente Almeida
- Institute of Immunology, Hannover Medical School, Hannover, Germany
| | - Anja Schimrock
- Institute of Immunology, Hannover Medical School, Hannover, Germany
| | - Anika Janssen
- Institute of Immunology, Hannover Medical School, Hannover, Germany
| | | | - Constantin von Kaisenberg
- Department of Obstetrics, Gynecology, and Reproductive Medicine, Hannover Medical School, Hannover, Germany
| | - Reinhold Förster
- Institute of Immunology, Hannover Medical School, Hannover, Germany
- Cluster of Excellence RESIST (EXC 2155), Hannover Medical School, Hannover, Germany
| | - Matthias Eberl
- Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, UK
- Systems Immunity Research Institute, Cardiff University, Cardiff, UK
| | | | - Sabine Pirr
- Department of Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
| | - Dorothee Viemann
- Department of Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
- Translational Pediatrics, Department of Pediatrics, University Hospital Wuerzburg, Wuerzburg, Germany
- Cluster of Excellence RESIST (EXC 2155), Hannover Medical School, Hannover, Germany
- PRIMAL (Priming IMmunity at the Beginning of Life) Consortium, Lübeck, Germany
- Center for Infection Research, University Würzburg, Würzburg, Germany
| | - Sarina Ravens
- Institute of Immunology, Hannover Medical School, Hannover, Germany
- Cluster of Excellence RESIST (EXC 2155), Hannover Medical School, Hannover, Germany
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Shetab Boushehri S, Kornivetc A, Winter DJE, Kazeminia S, Essig K, Schmich F, Marr C. PXPermute reveals staining importance in multichannel imaging flow cytometry. CELL REPORTS METHODS 2024; 4:100715. [PMID: 38412831 PMCID: PMC10921034 DOI: 10.1016/j.crmeth.2024.100715] [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: 05/28/2023] [Revised: 11/08/2023] [Accepted: 01/29/2024] [Indexed: 02/29/2024]
Abstract
Imaging flow cytometry (IFC) allows rapid acquisition of numerous single-cell images per second, capturing information from multiple fluorescent channels. However, the traditional process of staining cells with fluorescently labeled conjugated antibodies for IFC analysis is time consuming, expensive, and potentially harmful to cell viability. To streamline experimental workflows and reduce costs, it is crucial to identify the most relevant channels for downstream analysis. In this study, we introduce PXPermute, a user-friendly and powerful method for assessing the significance of IFC channels, particularly for cell profiling. Our approach evaluates channel importance by permuting pixel values within each channel and analyzing the resulting impact on machine learning or deep learning models. Through rigorous evaluation of three multichannel IFC image datasets, we demonstrate PXPermute's potential in accurately identifying the most informative channels, aligning with established biological knowledge. PXPermute can assist biologists with systematic channel analysis, experimental design optimization, and biomarker identification.
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Affiliation(s)
- Sayedali Shetab Boushehri
- Institute of AI for Health, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany; Institute of Computational Biology, Helmholtz Zentrum MünchenMunich - Helmholtz Munich - German Research Center for Environmental Health, 85764 Neuherberg, Germany; Technical University of Munich, Department of Mathematics, 85748 Munich, Germany; Data & Analytics (D&A), Roche Pharma Research and Early Development (pRED), Roche Innovation Center Munich, 82377 Penzberg, Germany
| | - Aleksandra Kornivetc
- Institute of AI for Health, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany; Institute of Computational Biology, Helmholtz Zentrum MünchenMunich - Helmholtz Munich - German Research Center for Environmental Health, 85764 Neuherberg, Germany; University of Hamburg, Department of Informatics, 22527 Hamburg, Germany
| | - Domink J E Winter
- Institute of AI for Health, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany; Institute of Computational Biology, Helmholtz Zentrum MünchenMunich - Helmholtz Munich - German Research Center for Environmental Health, 85764 Neuherberg, Germany; Technical University of Munich, School of Life Sciences, 85354 Weihenstephan, Germany
| | - Salome Kazeminia
- Institute of AI for Health, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany; Technical University of Munich, Department of Mathematics, 85748 Munich, Germany
| | - Katharina Essig
- Large Molecule Research (LMR), Roche Pharma Research and Early Development (pRED), Roche Innovation Center Munich, 82377 Penzberg, Germany
| | - Fabian Schmich
- Data & Analytics (D&A), Roche Pharma Research and Early Development (pRED), Roche Innovation Center Munich, 82377 Penzberg, Germany
| | - Carsten Marr
- Institute of AI for Health, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany.
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Li L, Liu Y, Zhou W, Yang C, Feng T, Li H. Human chorionic gonadotrophin indirectly activates peripheral γδT cells to produce interleukin-10 during early pregnancy. Immun Inflamm Dis 2024; 12:e1119. [PMID: 38270320 PMCID: PMC10777880 DOI: 10.1002/iid3.1119] [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: 05/16/2023] [Revised: 11/16/2023] [Accepted: 12/05/2023] [Indexed: 01/26/2024] Open
Abstract
BACKGROUNDS The immunomodulatory properties of human chorionic gonadotrophin (hCG) have been identified to be critical for successful pregnancy. However, the effects of hCG on peripheral γδT cells during early pregnancy have not been reported previously. METHODS We cocultured the purified γδT cells and peripheral blood mononuclear cells (PBMCs) with early pregnancy-relevant hCG concentrations and investigated the changes in the immune functional characteristics of γδT cells via flow cytometry assays. RESULTS The ratios of CD69+ and IL-10+ γδT cells were increased in early pregnant women compared to nonpregnant women. γδT cells expressed low levels of the mannose receptor (CD206) instead of the classical hCG/LH receptor for hCG. The direct treatment of purified γδT cells with early pregnancy-relevant hCG concentrations may have no significant effects on their immune functions. Interestingly, when PBMCs were treated with the same broad range of hCG concentrations, the ratios of CD69+ and IL-10+ γδT cells to total γδT cells were significantly increased. CONCLUSION Certain early pregnancy-relevant hCG concentrations could enhance the ratios of peripheral CD69+ and IL-10+ γδT cells, contributing to the activation of γδT cells and immunological tolerance during early pregnancy. However, these affects may not be strongly mediated by direct ligand-receptor interactions and they may highly depend on immune microenvironment. Our novel observations propose a perspective into the endocrine-immune dialog that exists between the fetus and maternal immune cells.
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Affiliation(s)
- Liman Li
- Center of Translational Medicine, Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, West China Second University HospitalSichuan UniversityChengduChina
| | - Yuan Liu
- Center of Translational Medicine, Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, West China Second University HospitalSichuan UniversityChengduChina
| | - Wenjie Zhou
- Department of Laboratory Medicine, West China Second University HospitalSichuan UniversityChengduSichuanChina
| | - Chuan Yang
- Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease‐Related Molecular NetworkSichuan UniversityChengduChina
| | - Ting Feng
- Center of Translational Medicine, Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, West China Second University HospitalSichuan UniversityChengduChina
| | - Hong Li
- Center of Translational Medicine, Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, West China Second University HospitalSichuan UniversityChengduChina
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Pierzchalski A, Zenclussen AC, Herberth G. OMIP-94: Twenty-four-color (thirty-marker) panel for deep immunophenotyping of immune cells in human peripheral blood. Cytometry A 2023; 103:695-702. [PMID: 37254600 DOI: 10.1002/cyto.a.24766] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 05/10/2023] [Accepted: 05/12/2023] [Indexed: 06/01/2023]
Abstract
This newly established 24-color (30-marker) panel focuses on the characterization of the main human immune cell subtypes and was optimized for the analysis of human whole blood using a full spectrum flow cytometer. The panel covers all main leukocyte populations: neutrophils, eosinophils and basophils, monocytes (with additional subsets), dendritic cells, innate lymphoid cells and lymphocytes. As for lymphocytes, this panel includes CD4+ T helper, Treg cells, and CD8+ cytotoxic T cells. Further T cells subsets are included with special focus on invariant T cells: γδ T cells (including δ2TCR variant), invariant NKT cells and MAIT (mucosal-associated invariant T cells) cells. Additionally, total B cells (including Bregs and plasmocytes), NK cells, and NKT cells are included. For the overall check of activation status of the analyzed immune cells we used HLA-DR, CD38, CD57, CD69, PD-1, and CD94. In addition, we used CD62L, CD45RA, CD27, and CD39 to describe the differentiation status of these cells. The panel was designed to maximize the information that can be obtained from surface markers in order to avoid the need for fixation and permeabilization steps. The presented multimarker panel offers the possibility to discover new immune cell subtypes which in patients and in cohort studies may lead to the identification of altered immune phenotypes and might give a link to immune system based or to certain other diseases. This panel was developed for a full spectrum flow cytometer equipped with a minimum of three lasers. We developed this panel using healthy human fresh blood, however it was also successfully used for staining of isolated human peripheral blood mononuclear cells (PBMC).
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Affiliation(s)
- Arkadiusz Pierzchalski
- Department of Environmental Immunology, Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany
| | - Ana C Zenclussen
- Department of Environmental Immunology, Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany
- Perinatal Immunology Research Group, Medical Faculty, Saxonian Incubator for Clinical Translation (SIKT), University of Leipzig, Leipzig, Germany
| | - Gunda Herberth
- Department of Environmental Immunology, Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany
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Anderson J, Jalali S, Licciardi PV, Pellicci DG. OMIP-91: A 27-color flow cytometry panel to evaluate the phenotype and function of human conventional and unconventional T-cells. Cytometry A 2023. [PMID: 37183268 DOI: 10.1002/cyto.a.24738] [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: 10/25/2022] [Revised: 03/13/2023] [Accepted: 05/04/2023] [Indexed: 05/16/2023]
Abstract
This 27-color panel was developed to simultaneously measure different T-cell populations (CD4, CD8, γδ T-cells, and MAIT cells) and their subsets (Memory, Th1, Th2, Th17, Tfh, and Treg) along with functional markers associated with their activation status, cytokine production and cytotoxicity. This panel will be useful for both in vivo and in vitro studies evaluating T-cells in the context of human health and disease. This panel is valuable in settings where samples are limited as a large amount of data will be generated using small volumes of blood.
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Affiliation(s)
- Jeremy Anderson
- New Vaccines, Murdoch Children's Research Institute, Melbourne, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Australia
| | - Sedi Jalali
- New Vaccines, Murdoch Children's Research Institute, Melbourne, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Australia
- Cellular Immunology, Murdoch Children's Research Institute, Melbourne, Australia
| | - Paul V Licciardi
- New Vaccines, Murdoch Children's Research Institute, Melbourne, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Australia
| | - Daniel G Pellicci
- New Vaccines, Murdoch Children's Research Institute, Melbourne, Australia
- Cellular Immunology, Murdoch Children's Research Institute, Melbourne, Australia
- Department of Microbiology and Immunology, University of Melbourne, Melbourne, Australia
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Giannotta C, Castella B, Tripoli E, Grimaldi D, Avonto I, D’Agostino M, Larocca A, Kopecka J, Grasso M, Riganti C, Massaia M. Immune dysfunctions affecting bone marrow Vγ9Vδ2 T cells in multiple myeloma: Role of immune checkpoints and disease status. Front Immunol 2022; 13:1073227. [PMID: 36605214 PMCID: PMC9808386 DOI: 10.3389/fimmu.2022.1073227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 11/29/2022] [Indexed: 12/24/2022] Open
Abstract
Introduction Bone marrow (BM) Vγ9Vδ2 T cells are intrinsically predisposed to sense the immune fitness of the tumor microenvironment (TME) in multiple myeloma (MM) and monoclonal gammopathy of undetermined significance (MGUS). Methods In this work, we have used BM Vγ9Vδ2 T cells to interrogate the role of the immune checkpoint/immune checkpoint-ligand (ICP/ICP-L) network in the immune suppressive TME of MM patients. Results PD-1+ BM MM Vγ9Vδ2 T cells combine phenotypic, functional, and TCR-associated alterations consistent with chronic exhaustion and immune senescence. When challenged by zoledronic acid (ZA) as a surrogate assay to interrogate the reactivity to their natural ligands, BM MM Vγ9Vδ2 T cells further up-regulate PD-1 and TIM-3 and worsen TCR-associated alterations. BM MM Vγ9Vδ2 T cells up-regulate TIM-3 after stimulation with ZA in combination with αPD-1, whereas PD-1 is not up-regulated after ZA stimulation with αTIM-3, indicating a hierarchical regulation of inducible ICP expression. Dual αPD-1/αTIM-3 blockade improves the immune functions of BM Vγ9Vδ2 T cells in MM at diagnosis (MM-dia), whereas single PD-1 blockade is sufficient to rescue BM Vγ9Vδ2 T cells in MM in remission (MM-rem). By contrast, ZA stimulation induces LAG-3 up-regulation in BM Vγ9Vδ2 T cells from MM in relapse (MM-rel) and dual PD-1/LAG-3 blockade is the most effective combination in this setting. Discussion These data indicate that: 1) inappropriate immune interventions can exacerbate Vγ9Vδ2 T-cell dysfunction 2) ICP blockade should be tailored to the disease status to get the most of its beneficial effect.
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Affiliation(s)
- Claudia Giannotta
- Laboratorio di Immunologia dei Tumori del Sangue (LITS), Centro Interdipartimentale di Biotecnologie Molecolari “Guido Tarone”, Dipartimento di Biotecnologie Molecolari e Scienze della Salute, Università degli Studi di Torino, Torino, Italy
| | - Barbara Castella
- Laboratorio di Immunologia dei Tumori del Sangue (LITS), Centro Interdipartimentale di Biotecnologie Molecolari “Guido Tarone”, Dipartimento di Biotecnologie Molecolari e Scienze della Salute, Università degli Studi di Torino, Torino, Italy,Struttura Complessa (SC) Ematologia, Azienda Ospedaliera (AO) S.Croce e Carle, Cuneo, Italy
| | - Ezio Tripoli
- Laboratorio di Immunologia dei Tumori del Sangue (LITS), Centro Interdipartimentale di Biotecnologie Molecolari “Guido Tarone”, Dipartimento di Biotecnologie Molecolari e Scienze della Salute, Università degli Studi di Torino, Torino, Italy,Struttura Complessa (SC) Ematologia, Azienda Ospedaliera (AO) S.Croce e Carle, Cuneo, Italy
| | - Daniele Grimaldi
- Struttura Complessa (SC) Ematologia, Azienda Ospedaliera (AO) S.Croce e Carle, Cuneo, Italy
| | - Ilaria Avonto
- Servizio Interdipartimentale di Immunoematologia e Medicina Trasfusionale, Azienda Ospedaliera (AO) S.Croce e Carle, Cuneo, Italy
| | - Mattia D’Agostino
- Struttura Complessa (SC) Ematologia, Azienda Ospedaliero-Universitaria (AOU) Città della Salute e della Scienza di Torino, Torino, Italy
| | - Alessandra Larocca
- Struttura Complessa (SC) Ematologia, Azienda Ospedaliero-Universitaria (AOU) Città della Salute e della Scienza di Torino, Torino, Italy
| | - Joanna Kopecka
- Dipartimento di Oncologia, Università degli Studi di Torino, Torino, Italy
| | - Mariella Grasso
- Struttura Complessa (SC) Ematologia, Azienda Ospedaliera (AO) S.Croce e Carle, Cuneo, Italy
| | - Chiara Riganti
- Dipartimento di Oncologia, Università degli Studi di Torino, Torino, Italy
| | - Massimo Massaia
- Laboratorio di Immunologia dei Tumori del Sangue (LITS), Centro Interdipartimentale di Biotecnologie Molecolari “Guido Tarone”, Dipartimento di Biotecnologie Molecolari e Scienze della Salute, Università degli Studi di Torino, Torino, Italy,Struttura Complessa (SC) Ematologia, Azienda Ospedaliera (AO) S.Croce e Carle, Cuneo, Italy,*Correspondence: Massimo Massaia,
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Zhang T, Gao M, Chen X, Gao C, Feng S, Chen D, Wang J, Zhao X, Chen J. Demands and technical developments of clinical flow cytometry with emphasis in quantitative, spectral, and imaging capabilities. NANOTECHNOLOGY AND PRECISION ENGINEERING 2022. [DOI: 10.1063/10.0015301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
As the gold-standard method for single-cell analysis, flow cytometry enables high-throughput and multiple-parameter characterization of individual biological cells. This review highlights the demands for clinical flow cytometry in laboratory hematology (e.g., diagnoses of minimal residual disease and various types of leukemia), summarizes state-of-the-art clinical flow cytometers (e.g., FACSLyricTM by Becton Dickinson, DxFLEX by Beckman Coulter), then considers innovative technical improvements in flow cytometry (including quantitative, spectral, and imaging approaches) to address the limitations of clinical flow cytometry in hematology diagnosis. Finally, driven by these clinical demands, future developments in clinical flow cytometry are suggested.
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Affiliation(s)
- Ting Zhang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, People’s Republic of China
- School of Future Technology, University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
| | - Mengge Gao
- Peking University People’s Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing 100044, People’s Republic of China
| | - Xiao Chen
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, People’s Republic of China
- School of Future Technology, University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
| | - Chiyuan Gao
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, People’s Republic of China
- School of Future Technology, University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
| | - Shilun Feng
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, People’s Republic of China
| | - Deyong Chen
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, People’s Republic of China
- School of Future Technology, University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
| | - Junbo Wang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, People’s Republic of China
- School of Future Technology, University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
| | - Xiaosu Zhao
- Peking University People’s Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing 100044, People’s Republic of China
| | - Jian Chen
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, People’s Republic of China
- School of Future Technology, University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
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