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Li M, Zuo J, Yang K, Wang P, Zhou S. Proteomics mining of cancer hallmarks on a single-cell resolution. MASS SPECTROMETRY REVIEWS 2024; 43:1019-1040. [PMID: 37051664 DOI: 10.1002/mas.21842] [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: 03/10/2022] [Revised: 11/25/2022] [Accepted: 03/15/2023] [Indexed: 06/19/2023]
Abstract
Dysregulated proteome is an essential contributor in carcinogenesis. Protein fluctuations fuel the progression of malignant transformation, such as uncontrolled proliferation, metastasis, and chemo/radiotherapy resistance, which severely impair therapeutic effectiveness and cause disease recurrence and eventually mortality among cancer patients. Cellular heterogeneity is widely observed in cancer and numerous cell subtypes have been characterized that greatly influence cancer progression. Population-averaged research may not fully reveal the heterogeneity, leading to inaccurate conclusions. Thus, deep mining of the multiplex proteome at the single-cell resolution will provide new insights into cancer biology, to develop prognostic biomarkers and treatments. Considering the recent advances in single-cell proteomics, herein we review several novel technologies with particular focus on single-cell mass spectrometry analysis, and summarize their advantages and practical applications in the diagnosis and treatment for cancer. Technological development in single-cell proteomics will bring a paradigm shift in cancer detection, intervention, and therapy.
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Affiliation(s)
- Maomao Li
- Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE and State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, Sichuan, China
| | - Jing Zuo
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University and Collaborative Innovation Center for Biotherapy, Chengdu, Sichuan, China
| | - Kailin Yang
- Department of Radiation Oncology, Taussig Cancer Center, Cleveland Clinic, Cleveland, Ohio, USA
| | - Ping Wang
- Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE and State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, Sichuan, China
| | - Shengtao Zhou
- Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE and State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, Sichuan, China
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2
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Liu Z, Fan Y, Cui M, Wang X, Zhao P. Investigation of tumour environments through advancements in microtechnology and nanotechnology. Biomed Pharmacother 2024; 178:117230. [PMID: 39116787 DOI: 10.1016/j.biopha.2024.117230] [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: 06/05/2024] [Revised: 07/28/2024] [Accepted: 07/30/2024] [Indexed: 08/10/2024] Open
Abstract
Cancer has a significant negative social and economic impact on both developed and developing countries. As a result, understanding the onset and progression of cancer is critical for developing therapies that can improve the well-being and health of individuals with cancer. With time, study has revealed, the tumor microenvironment has great influence on this process. Micro and nanoscale engineering techniques can be used to study the tumor microenvironment. Nanoscale and Microscale engineering use Novel technologies and designs with small dimensions to recreate the TME. Knowing how cancer cells interact with one another can help researchers develop therapeutic approaches that anticipate and counteract cancer cells' techniques for evading detection and fighting anti-cancer treatments, such as microfabrication techniques, microfluidic devices, nanosensors, and nanodevices used to study or recreate the tumor microenvironment. Nevertheless, a complicated action just like the growth and in cancer advancement, and their intensive association along the environment around it that has to be studied in more detail.
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Affiliation(s)
- Zhen Liu
- Department of Radiology, Shengjing Hospital of China Medical University, China
| | - Yan Fan
- Department of Pediatrics, The First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Mengyao Cui
- Department of Surgical Oncology, Breast Surgery, General Surgery, The First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Xu Wang
- Department of Surgical Oncology, Breast Surgery, General Surgery, The First Hospital of China Medical University, Shenyang, Liaoning, China.
| | - Pengfei Zhao
- Department of Radiology, Shengjing Hospital of China Medical University, China.
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3
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Saed B, Ramseier NT, Perera T, Anderson J, Burnett J, Gunasekara H, Burgess A, Jing H, Hu YS. Increased vesicular dynamics and nanoscale clustering of IL-2 after T cell activation. Biophys J 2024; 123:2343-2353. [PMID: 38532626 PMCID: PMC11331045 DOI: 10.1016/j.bpj.2024.03.029] [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: 06/27/2023] [Revised: 12/04/2023] [Accepted: 03/22/2024] [Indexed: 03/28/2024] Open
Abstract
T cells coordinate intercellular communication through the meticulous regulation of cytokine secretion. Direct visualization of vesicular transport and intracellular distribution of cytokines provides valuable insights into the temporal and spatial mechanisms involved in regulation. Employing Jurkat E6-1 T cells and interleukin-2 (IL-2) as a model system, we investigated vesicular dynamics using single-particle tracking and the nanoscale distribution of intracellular IL-2 in fixed T cells using superresolution microscopy. Live-cell imaging revealed that in vitro activation resulted in increased vesicular dynamics. Direct stochastic optical reconstruction microscopy and 3D structured illumination microscopy revealed nanoscale clustering of IL-2. In vitro activation correlated with spatial accumulation of IL-2 nanoclusters into more pronounced and elongated clusters. These observations provide visual evidence that accelerated vesicular transport and spatial concatenation of IL-2 clusters at the nanoscale may constitute a potential mechanism for modulating cytokine release by Jurkat T cells.
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Affiliation(s)
- Badeia Saed
- Department of Chemistry, College of Liberal Arts and Sciences, University of Illinois Chicago, Chicago, Illinois
| | - Neal T Ramseier
- Department of Chemistry, College of Liberal Arts and Sciences, University of Illinois Chicago, Chicago, Illinois
| | - Thilini Perera
- Department of Chemistry, College of Liberal Arts and Sciences, University of Illinois Chicago, Chicago, Illinois
| | - Jesse Anderson
- Department of Chemical Engineering, College of Engineering, University of Illinois Chicago, Chicago, Illinois
| | | | - Hirushi Gunasekara
- Department of Chemistry, College of Liberal Arts and Sciences, University of Illinois Chicago, Chicago, Illinois
| | - Alyssa Burgess
- Department of Chemistry, College of Liberal Arts and Sciences, University of Illinois Chicago, Chicago, Illinois
| | - Haoran Jing
- Department of Chemistry, College of Liberal Arts and Sciences, University of Illinois Chicago, Chicago, Illinois
| | - Ying S Hu
- Department of Chemistry, College of Liberal Arts and Sciences, University of Illinois Chicago, Chicago, Illinois.
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Portmann K, Linder A, Eyer K. Stimulation-induced cytokine polyfunctionality as a dynamic concept. eLife 2024; 12:RP89781. [PMID: 39018359 PMCID: PMC11254380 DOI: 10.7554/elife.89781] [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] [Indexed: 07/19/2024] Open
Abstract
Cytokine polyfunctionality is a well-established concept in immune cells, especially T cells, and their ability to concurrently produce multiple cytokines has been associated with better immunological disease control and subsequent effectiveness during infection and disease. To date, only little is known about the secretion dynamics of those cells, masked by the widespread deployment of mainly time-integrated endpoint measurement techniques that do not easily differentiate between concurrent and sequential secretion. Here, we employed a single-cell microfluidic platform capable of resolving the secretion dynamics of individual PBMCs. To study the dynamics of poly-cytokine secretion, as well as the dynamics of concurrent and sequential polyfunctionality, we analyzed the response at different time points after ex vivo activation. First, we observed the simultaneous secretion of cytokines over the measurement time for most stimulants in a subpopulation of cells only. Second, polyfunctionality generally decreased with prolonged stimulation times and revealed no correlation with the concentration of secreted cytokines in response to stimulation. However, we observed a general trend towards higher cytokine secretion in polyfunctional cells, with their secretion dynamics being distinctly different from mono-cytokine-secreting cells. This study provided insights into the distinct secretion behavior of heterogenous cell populations after stimulation with well-described agents and such a system could provide a better understanding of various immune dynamics in therapy and disease.
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Affiliation(s)
- Kevin Portmann
- Laboratory for Functional Immune Repertoire Analysis, Institute of Pharmaceutical Sciences, Department of Chemistry and Applied Biosciences, ETH ZurichZurichSwitzerland
| | - Aline Linder
- Laboratory for Functional Immune Repertoire Analysis, Institute of Pharmaceutical Sciences, Department of Chemistry and Applied Biosciences, ETH ZurichZurichSwitzerland
| | - Klaus Eyer
- Laboratory for Functional Immune Repertoire Analysis, Institute of Pharmaceutical Sciences, Department of Chemistry and Applied Biosciences, ETH ZurichZurichSwitzerland
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Chen Y, Lu C, Huang J, Li L, Yang Y, Shao Y, Liu L, Sun B. Characteristics of Neonatal Sepsis and Predictive Values of Polyfunctional Assessment of Umbilical Cord Neutrophils Based on Single Cell Proteomic Secretion. Inflammation 2024:10.1007/s10753-024-02095-2. [PMID: 38976117 DOI: 10.1007/s10753-024-02095-2] [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: 02/15/2024] [Revised: 05/04/2024] [Accepted: 06/27/2024] [Indexed: 07/09/2024]
Abstract
The early diagnosis of neonatal sepsis is crucial as it remains a prevalent cause of neonatal mortality. In this study, we conducted an analysis on the clinical data and detection indicators of 22 cases with sepsis and 62 cases without sepsis among neonates. Our findings indicate that the clinical signs observed in neonates with sepsis lack specificity. In addition, the commonly used clinical inflammatory indicators (such as leukocyte count, neutrophil-to-lymphocyte ratio [NLR], C-reactive protein [CRP], procalcitonin) exhibit limited sensitivity and specificity. Furthermore, the current clinical measures lack the assessment of inflammatory factors. Therefore, in order to enhance the accuracy of early sepsis diagnosis in neonates, we have employed a novel microfluidic-based single-cell technology platform for the analysis of 32 cytokines secreted by neutrophils at the individual cell level under various toxin stimulation conditions. We have further investigated and compared the disparities in single-cell protein secretomics between umbilical cord blood neutrophils and healthy adult peripheral neutrophils within an in vitro sepsis model. Our findings indicate that in a resting state UCB neutrophils exhibited lower polyfunctionality compared with healthy adult blood neutrophils, and notable variations in cytokine secretion profiles were detected between the two groups. However, the polyfunctionality of UCB neutrophils significantly increased and surpassed that of healthy adult neutrophils when exposed to alpha-hemolysin or lipopolysaccharide. UCB neutrophils secreted a wide range of chemokines and inflammatory factors, among which GM-CSF and IL-18 were the most significant. Furthermore, we initially categorized the functional subgroups of neutrophils by considering the secretion of five primary cytokines by neutrophils (GM-CSF, IL-18, IL-8, MIP-1β, and MIF). The current study, for the first time, examined in detail the heterogeneity of protein secretion and the functional diversity of UCB neutrophils stimulated by different antigens. Moreover, new insight into neonatal sepsis, early diagnosis, and wider clinical applications of UCB neutrophils are provided by these data.
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Affiliation(s)
- Yi Chen
- Research Center for Neutrophil Engineering Technology, Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
- Department of Burns and Plastic Surgery, Affiliated Huaian No.1 People's Hospital, Nanjing Medical University, Huai'an, China
| | - Cheng Lu
- Research Center for Neutrophil Engineering Technology, Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Jiamin Huang
- Research Center for Neutrophil Engineering Technology, Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Linbin Li
- Research Center for Neutrophil Engineering Technology, Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Yunxi Yang
- Research Center for Neutrophil Engineering Technology, Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Yiming Shao
- Department of Burns and Plastic Surgery, Affiliated Hospital of Jining Medical University, Jining, China
| | - Lu Liu
- Research Center for Neutrophil Engineering Technology, Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Bingwei Sun
- Research Center for Neutrophil Engineering Technology, Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China.
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Wang C, Qiu J, Liu M, Wang Y, Yu Y, Liu H, Zhang Y, Han L. Microfluidic Biochips for Single-Cell Isolation and Single-Cell Analysis of Multiomics and Exosomes. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2401263. [PMID: 38767182 PMCID: PMC11267386 DOI: 10.1002/advs.202401263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 04/26/2024] [Indexed: 05/22/2024]
Abstract
Single-cell multiomic and exosome analyses are potent tools in various fields, such as cancer research, immunology, neuroscience, microbiology, and drug development. They facilitate the in-depth exploration of biological systems, providing insights into disease mechanisms and aiding in treatment. Single-cell isolation, which is crucial for single-cell analysis, ensures reliable cell isolation and quality control for further downstream analyses. Microfluidic chips are small lightweight systems that facilitate efficient and high-throughput single-cell isolation and real-time single-cell analysis on- or off-chip. Therefore, most current single-cell isolation and analysis technologies are based on the single-cell microfluidic technology. This review offers comprehensive guidance to researchers across different fields on the selection of appropriate microfluidic chip technologies for single-cell isolation and analysis. This review describes the design principles, separation mechanisms, chip characteristics, and cellular effects of various microfluidic chips available for single-cell isolation. Moreover, this review highlights the implications of using this technology for subsequent analyses, including single-cell multiomic and exosome analyses. Finally, the current challenges and future prospects of microfluidic chip technology are outlined for multiplex single-cell isolation and multiomic and exosome analyses.
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Affiliation(s)
- Chao Wang
- Institute of Marine Science and TechnologyShandong UniversityQingdao266237China
| | - Jiaoyan Qiu
- Institute of Marine Science and TechnologyShandong UniversityQingdao266237China
| | - Mengqi Liu
- Institute of Marine Science and TechnologyShandong UniversityQingdao266237China
| | - Yihe Wang
- Institute of Marine Science and TechnologyShandong UniversityQingdao266237China
| | - Yang Yu
- Department of PeriodontologySchool and Hospital of StomatologyCheeloo College of MedicineShandong UniversityJinan250100China
| | - Hong Liu
- State Key Laboratory of Crystal MaterialsShandong UniversityJinan250100China
| | - Yu Zhang
- Institute of Marine Science and TechnologyShandong UniversityQingdao266237China
| | - Lin Han
- Institute of Marine Science and TechnologyShandong UniversityQingdao266237China
- Shandong Engineering Research Center of Biomarker and Artificial Intelligence ApplicationJinan250100China
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Xie H, Guo W, Jiang H, Zhang T, Zhao L, Hu J, Gao S, Song S, Xu J, Xu L, Sun X, Ding Y, Jiang L, Ding X. Photosensitive Hydrogel with Temperature-Controlled Reversible Nano-Apertures for Single-Cell Protein Analysis. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2308569. [PMID: 38483955 PMCID: PMC11109651 DOI: 10.1002/advs.202308569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 02/15/2024] [Indexed: 05/23/2024]
Abstract
Single cell western blot (scWB) is one of the most important methods for cellular heterogeneity profiling. However, current scWB based on conventional photoactive polyacrylamide hydrogel material suffers from the tradeoff between in-gel probing and separation resolution. Here, a highly sensitive temperature-controlled single-cell western blotting (tc-scWB) method is introduced, which is based on a thermo/photo-dualistic-sensitive polyacrylamide hydrogel, namely acrylic acid-functionalized graphene oxide (AFGO) assisted, N-isopropylacrylamide modified polyacrylamide (ANP) hydrogel. The ANP hydrogel is contracted at high-temperature to constrain protein band diffusion during microchip electrophoretic separation, while the gel aperture is expanded under low-temperature for better antibody penetration into the hydrogel. The tc-scWB method enables the separation and profiling of small-molecule-weight proteins with highly crosslinked gel (12% T) in SDS-PAGE. The tc-scWB is demonstrated on three metabolic and ER stress-specific proteins (CHOP, MDH2 and FH) in four pancreatic cell subtypes, revealing the expression of key enzymes in the Krebs cycle is upregulated with enhanced ER stress. It is found that ER stress can regulate crucial enzyme (MDH2 and FH) activities of metabolic cascade in cancer cells, boosting aerobic respiration to attenuate the Warburg effect and promote cell apoptosis. The tc-scWB is a general toolbox for the analysis of low-abundance small-molecular functional proteins at the single-cell level.
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Affiliation(s)
- Haiyang Xie
- Department of Anesthesiology and Surgical Intensive Care UnitXinhua HospitalSchool of Medicine and School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200092China
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
| | - Wenke Guo
- Department of Anesthesiology and Surgical Intensive Care UnitXinhua HospitalSchool of Medicine and School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200092China
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
| | - Hui Jiang
- Department of Anesthesiology and Surgical Intensive Care UnitXinhua HospitalSchool of Medicine and School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200092China
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
| | - Ting Zhang
- Department of Anesthesiology and Surgical Intensive Care UnitXinhua HospitalSchool of Medicine and School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200092China
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
| | - Lei Zhao
- Department of Anesthesiology and Surgical Intensive Care UnitXinhua HospitalSchool of Medicine and School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200092China
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
| | - Jinjuan Hu
- Department of Anesthesiology and Surgical Intensive Care UnitXinhua HospitalSchool of Medicine and School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200092China
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
| | - Shuxin Gao
- Department of Anesthesiology and Surgical Intensive Care UnitXinhua HospitalSchool of Medicine and School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200092China
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
| | - Sunfengda Song
- Department of Anesthesiology and Surgical Intensive Care UnitXinhua HospitalSchool of Medicine and School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200092China
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
| | - Jiasu Xu
- Department of Anesthesiology and Surgical Intensive Care UnitXinhua HospitalSchool of Medicine and School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200092China
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
| | - Li Xu
- Department of Anesthesiology and Surgical Intensive Care UnitXinhua HospitalSchool of Medicine and School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200092China
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
| | - Xinyi Sun
- Department of Anesthesiology and Surgical Intensive Care UnitXinhua HospitalSchool of Medicine and School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200092China
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
| | - Yi Ding
- Department of Anesthesiology and Surgical Intensive Care UnitXinhua HospitalSchool of Medicine and School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200092China
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
| | - Lai Jiang
- Department of Anesthesiology and Surgical Intensive Care UnitXinhua HospitalSchool of Medicine and School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200092China
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
| | - Xianting Ding
- Department of Anesthesiology and Surgical Intensive Care UnitXinhua HospitalSchool of Medicine and School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200092China
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
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Johnston AC, Alicea GM, Lee CC, Patel PV, Hanna EA, Vaz E, Forjaz A, Wan Z, Nair PR, Lim Y, Chen T, Du W, Kim D, Nichakawade TD, Rebecca VW, Bonifant CL, Fan R, Kiemen AL, Wu PH, Wirtz D. Engineering self-propelled tumor-infiltrating CAR T cells using synthetic velocity receptors. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.12.13.571595. [PMID: 38168186 PMCID: PMC10760159 DOI: 10.1101/2023.12.13.571595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Chimeric antigen receptor (CAR) T cells express antigen-specific synthetic receptors, which upon binding to cancer cells, elicit T cell anti-tumor responses. CAR T cell therapy has enjoyed success in the clinic for hematological cancer indications, giving rise to decade-long remissions in some cases. However, CAR T therapy for patients with solid tumors has not seen similar success. Solid tumors constitute 90% of adult human cancers, representing an enormous unmet clinical need. Current approaches do not solve the central problem of limited ability of therapeutic cells to migrate through the stromal matrix. We discover that T cells at low and high density display low- and high-migration phenotypes, respectively. The highly migratory phenotype is mediated by a paracrine pathway from a group of self-produced cytokines that include IL5, TNFα, IFNγ, and IL8. We exploit this finding to "lock-in" a highly migratory phenotype by developing and expressing receptors, which we call velocity receptors (VRs). VRs target these cytokines and signal through these cytokines' cognate receptors to increase T cell motility and infiltrate lung, ovarian, and pancreatic tumors in large numbers and at doses for which control CAR T cells remain confined to the tumor periphery. In contrast to CAR therapy alone, VR-CAR T cells significantly attenuate tumor growth and extend overall survival. This work suggests that approaches to the design of immune cell receptors that focus on migration signaling will help current and future CAR cellular therapies to infiltrate deep into solid tumors.
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Affiliation(s)
- Adrian C Johnston
- Department of Chemical & Biomolecular Engineering, Johns Hopkins University
| | | | - Cameron C Lee
- Department of Biomedical Engineering, Johns Hopkins University
| | - Payal V Patel
- Department of Chemical & Biomolecular Engineering, Johns Hopkins University
| | - Eban A Hanna
- Department of Chemical & Biomolecular Engineering, Johns Hopkins University
| | - Eduarda Vaz
- Department of Chemical & Biomolecular Engineering, Johns Hopkins University
| | - André Forjaz
- Department of Chemical & Biomolecular Engineering, Johns Hopkins University
| | - Zeqi Wan
- Department of Biochemistry and Molecular Biology, Bloomberg School of Public Health, Johns Hopkins University
| | - Praful R Nair
- Institute for NanoBioTechnology, Johns Hopkins University
| | - Yeongseo Lim
- Department of Biomedical Engineering, Johns Hopkins University
| | - Tina Chen
- Department of Chemical & Biomolecular Engineering, Johns Hopkins University
| | - Wenxuan Du
- Department of Chemical & Biomolecular Engineering, Johns Hopkins University
| | - Dongjoo Kim
- Department of Biomedical Engineering, Yale University
| | - Tushar D Nichakawade
- Department of Chemical & Biomolecular Engineering, Johns Hopkins University
- Department of Oncology, Johns Hopkins School of Medicine, Johns Hopkins University
| | - Vito W Rebecca
- Department of Biochemistry and Molecular Biology, Bloomberg School of Public Health, Johns Hopkins University
| | - Challice L Bonifant
- Department of Oncology, Johns Hopkins School of Medicine, Johns Hopkins University
| | - Rong Fan
- Department of Biomedical Engineering, Yale University
| | - Ashley L Kiemen
- Institute for NanoBioTechnology, Johns Hopkins University
- Department of Pathology, Johns Hopkins School of Medicine, Johns Hopkins University
- Department of Oncology, Johns Hopkins School of Medicine, Johns Hopkins University
| | - Pei-Hsun Wu
- Department of Chemical & Biomolecular Engineering, Johns Hopkins University
- Institute for NanoBioTechnology, Johns Hopkins University
| | - Denis Wirtz
- Department of Chemical & Biomolecular Engineering, Johns Hopkins University
- Institute for NanoBioTechnology, Johns Hopkins University
- Department of Pathology, Johns Hopkins School of Medicine, Johns Hopkins University
- Department of Oncology, Johns Hopkins School of Medicine, Johns Hopkins University
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9
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Lin S, Feng D, Han X, Li L, Lin Y, Gao H. Microfluidic platform for omics analysis on single cells with diverse morphology and size: A review. Anal Chim Acta 2024; 1294:342217. [PMID: 38336406 DOI: 10.1016/j.aca.2024.342217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 01/04/2024] [Accepted: 01/04/2024] [Indexed: 02/12/2024]
Abstract
BACKGROUND Microfluidic techniques have emerged as powerful tools in single-cell research, facilitating the exploration of omics information from individual cells. Cell morphology is crucial for gene expression and physiological processes. However, there is currently a lack of integrated analysis of morphology and single-cell omics information. A critical challenge remains: what platform technologies are the best option to decode omics data of cells that are complex in morphology and size? RESULTS This review highlights achievements in microfluidic-based single-cell omics and isolation of cells based on morphology, along with other cell sorting methods based on physical characteristics. Various microfluidic platforms for single-cell isolation are systematically presented, showcasing their diversity and adaptability. The discussion focuses on microfluidic devices tailored to the distinct single-cell isolation requirements in plants and animals, emphasizing the significance of considering cell morphology and cell size in optimizing single-cell omics strategies. Simultaneously, it explores the application of microfluidic single-cell sorting technologies to single-cell sequencing, aiming to effectively integrate information about cell shape and size. SIGNIFICANCE AND NOVELTY The novelty lies in presenting a comprehensive overview of recent accomplishments in microfluidic-based single-cell omics, emphasizing the integration of different microfluidic platforms and their implications for cell morphology-based isolation. By underscoring the pivotal role of the specialized morphology of different cells in single-cell research, this review provides robust support for delving deeper into the exploration of single-cell omics data.
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Affiliation(s)
- Shujin Lin
- Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China; Central Laboratory at the Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine, Fujian-Macao Science and Technology Cooperation Base of Traditional Chinese Medicine-Oriented Chronic Disease Prevention and Treatment, Innovation and Transformation Center, Fujian University of Traditional Chinese Medicine, China
| | - Dan Feng
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xiao Han
- College of Biological Science and Engineering, Fuzhou University, Fuzhou, 350108, China.
| | - Ling Li
- Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China; The First Clinical Medical College of Fujian Medical University, Fuzhou, 350004, China; Hepatopancreatobiliary Surgery Department, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350004, China.
| | - Yao Lin
- Central Laboratory at the Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine, Fujian-Macao Science and Technology Cooperation Base of Traditional Chinese Medicine-Oriented Chronic Disease Prevention and Treatment, Innovation and Transformation Center, Fujian University of Traditional Chinese Medicine, China; Collaborative Innovation Center for Rehabilitation Technology, Fujian University of Traditional Chinese Medicine, China.
| | - Haibing Gao
- Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China.
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10
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Labib M, Wang Z, Kim Y, Lin S, Abdrabou A, Yousefi H, Lo PY, Angers S, Sargent EH, Kelley SO. Identification of druggable regulators of cell secretion via a kinome-wide screen and high-throughput immunomagnetic cell sorting. Nat Biomed Eng 2024; 8:263-277. [PMID: 38012306 DOI: 10.1038/s41551-023-01135-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 10/16/2023] [Indexed: 11/29/2023]
Abstract
The identification of genetic regulators of cell secretions is challenging because it requires the sorting of a large number of cells according to their secretion patterns. Here we report the development and applicability of a high-throughput microfluidic method for the analysis of the secretion levels of large populations of immune cells. The method is linked with a kinome-wide loss-of-function CRISPR screen, immunomagnetically sorting the cells according to their secretion levels, and the sequencing of their genomes to identify key genetic modifiers of cell secretion. We used the method, which we validated against flow cytometry for cytokines secreted from primary mouse CD4+ (cluster of differentiation 4-positive) T cells, to discover a subgroup of highly co-expressed kinase-coding genes that regulate interferon-gamma secretion by these cells. We validated the function of the kinases identified using RNA interference, CRISPR knockouts and kinase inhibitors and confirmed the druggability of selected kinases via the administration of a kinase inhibitor in an animal model of colitis. The technique may facilitate the discovery of regulatory mechanisms for immune-cell activation and of therapeutic targets for autoimmune diseases.
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Affiliation(s)
- Mahmoud Labib
- Peninsula Medical School, Faculty of Health, University of Plymouth, Plymouth, UK
- Department of Chemistry, Northwestern University, Evanston, IL, USA
- Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Zongjie Wang
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, USA
| | - Yunhye Kim
- Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Sichun Lin
- Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Abdalla Abdrabou
- Robert H. Laurie Comprehensive Cancer Center, Northwestern University, Chicago, IL, USA
| | - Hanie Yousefi
- Department of Chemistry, Northwestern University, Evanston, IL, USA
| | - Pei-Ying Lo
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, USA
| | - Stéphane Angers
- Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada
- Department of Biochemistry, University of Toronto, Toronto, Ontario, Canada
- Donnelly Centre for Cellular and Biomolecular Research, Toronto, Ontario, Canada
| | - Edward H Sargent
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, USA
- Department of Electrical & Computer Engineering, University of Toronto, Toronto, Ontario, Canada
| | - Shana O Kelley
- Department of Chemistry, Northwestern University, Evanston, IL, USA.
- Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada.
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, USA.
- Robert H. Laurie Comprehensive Cancer Center, Northwestern University, Chicago, IL, USA.
- Department of Biochemistry, University of Toronto, Toronto, Ontario, Canada.
- Donnelly Centre for Cellular and Biomolecular Research, Toronto, Ontario, Canada.
- Institute for Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.
- Chan Zuckerberg Biohub Chicago, Chicago, IL, USA.
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11
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Ghaffari S, Saleh M, Akbari B, Ramezani F, Mirzaei HR. Applications of single-cell omics for chimeric antigen receptor T cell therapy. Immunology 2024; 171:339-364. [PMID: 38009707 DOI: 10.1111/imm.13720] [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: 07/02/2023] [Accepted: 11/13/2023] [Indexed: 11/29/2023] Open
Abstract
Chimeric antigen receptor (CAR) T cell therapy is a promising cancer treatment modality. The breakthroughs in CAR T cell therapy were, in part, possible with the help of cell analysis methods, such as single-cell analysis. Bulk analyses have provided invaluable information regarding the complex molecular dynamics of CAR T cells, but their results are an average of thousands of signals in CAR T or tumour cells. Since cancer is a heterogeneous disease where each minute detail of a subclone could change the outcome of the treatment, single-cell analysis could prove to be a powerful instrument in deciphering the secrets of tumour microenvironment for cancer immunotherapy. With the recent studies in all aspects of adoptive cell therapy making use of single-cell analysis, a comprehensive review of the recent preclinical and clinical findings in CAR T cell therapy was needed. Here, we categorized and summarized the key points of the studies in which single-cell analysis provided insights into the genomics, epigenomics, transcriptomics and proteomics as well as their respective multi-omics of CAR T cell therapy.
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Affiliation(s)
- Sasan Ghaffari
- Department of Immunology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA
| | - Mahshid Saleh
- Wisconsin National Primate Research Center, University of Wisconsin Graduate School, Madison, Wisconsin, USA
| | - Behnia Akbari
- Department of Medical Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Faezeh Ramezani
- Department of Medical Biotechnology, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
- Department of Medical Laboratory Sciences, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Hamid Reza Mirzaei
- Department of Medical Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Molecular Imaging and Therapy Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
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12
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Zhang X, Su Z, Zhao Y, Wu D, Wu Y, Li G. Recent advances of nanopore technique in single cell analysis. Analyst 2024; 149:1350-1363. [PMID: 38312056 DOI: 10.1039/d3an01973j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2024]
Abstract
Single cells and their dynamic behavior are closely related to biological research. Monitoring their dynamic behavior is of great significance for disease prevention. How to achieve rapid and non-destructive monitoring of single cells is a major issue that needs to be solved urgently. As an emerging technology, nanopores have been proven to enable non-destructive and label-free detection of single cells. The structural properties of nanopores enable a high degree of sensitivity and accuracy during analysis. In this article, we summarize and classify the different types of solid-state nanopores that can be used for single-cell detection and illustrate their specific applications depending on the size of the analyte. In addition, their research progress in material transport and microenvironment monitoring is also highlighted. Finally, a brief summary of existing research challenges and future trends in nanopore single-cell analysis is tentatively provided.
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Affiliation(s)
- Xue Zhang
- School of Food Science and Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.
| | - Zhuoqun Su
- School of Food Science and Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.
| | - Yan Zhao
- School of Food Science and Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.
| | - Di Wu
- Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, 19 Chlorine Gardens, Belfast, BT9 5DL, UK
| | - Yongning Wu
- School of Food Science and Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.
- NHC Key Laboratory of Food Safety Risk Assessment, Food Safety Research Unit (2019RU014) of Chinese Academy of Medical Science, China National Center for Food Safety Risk Assessment, Beijing 100021, China
| | - Guoliang Li
- School of Food Science and Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.
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13
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Kolahi Azar H, Gharibshahian M, Rostami M, Mansouri V, Sabouri L, Beheshtizadeh N, Rezaei N. The progressive trend of modeling and drug screening systems of breast cancer bone metastasis. J Biol Eng 2024; 18:14. [PMID: 38317174 PMCID: PMC10845631 DOI: 10.1186/s13036-024-00408-5] [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: 11/27/2023] [Accepted: 01/22/2024] [Indexed: 02/07/2024] Open
Abstract
Bone metastasis is considered as a considerable challenge for breast cancer patients. Various in vitro and in vivo models have been developed to examine this occurrence. In vitro models are employed to simulate the intricate tumor microenvironment, investigate the interplay between cells and their adjacent microenvironment, and evaluate the effectiveness of therapeutic interventions for tumors. The endeavor to replicate the latency period of bone metastasis in animal models has presented a challenge, primarily due to the necessity of primary tumor removal and the presence of multiple potential metastatic sites.The utilization of novel bone metastasis models, including three-dimensional (3D) models, has been proposed as a promising approach to overcome the constraints associated with conventional 2D and animal models. However, existing 3D models are limited by various factors, such as irregular cellular proliferation, autofluorescence, and changes in genetic and epigenetic expression. The imperative for the advancement of future applications of 3D models lies in their standardization and automation. The utilization of artificial intelligence exhibits the capability to predict cellular behavior through the examination of substrate materials' chemical composition, geometry, and mechanical performance. The implementation of these algorithms possesses the capability to predict the progression and proliferation of cancer. This paper reviewed the mechanisms of bone metastasis following primary breast cancer. Current models of breast cancer bone metastasis, along with their challenges, as well as the future perspectives of using these models for translational drug development, were discussed.
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Affiliation(s)
- Hanieh Kolahi Azar
- Department of Pathology, Tabriz University of Medical Sciences, Tabriz, Iran
- Regenerative Medicine Group (REMED), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Maliheh Gharibshahian
- Department of Tissue Engineering, School of Medicine, Shahroud University of Medical Sciences, Shahroud, Iran
- Regenerative Medicine Group (REMED), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Mohammadreza Rostami
- Division of Food Safety and Hygiene, Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Food Science and Nutrition Group (FSAN), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Vahid Mansouri
- Gene Therapy Research Center, Digestive Diseases Research Institute, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
- Regenerative Medicine Group (REMED), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Leila Sabouri
- Department of Tissue Engineering and Applied Cell Sciences, School of Paramedicine, Guilan University of Medical Sciences, Rasht, Iran
- Regenerative Medicine Group (REMED), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Nima Beheshtizadeh
- Department of Tissue Engineering, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.
- Regenerative Medicine Group (REMED), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
| | - Nima Rezaei
- Department of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
- Research Center for Immunodeficiencies, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran.
- Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
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14
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Li Y, Li W, Chen J, Qiu S, Liu Y, Xu L, Tian T, Li JP. Deciphering single-cell protein secretion and gene expressions by constructing cell-antibody conjugates. Bioorg Chem 2024; 143:106987. [PMID: 38039927 DOI: 10.1016/j.bioorg.2023.106987] [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: 10/12/2023] [Revised: 11/13/2023] [Accepted: 11/19/2023] [Indexed: 12/03/2023]
Abstract
Secreted proteins play critical roles in regulating immune responses, exerting cytotoxic effects on tumor cells, promoting inflammatory processes, and influencing cellular metabolism. Deciphering the intricate relationship between the heterogeneity of secreted proteins and their transcriptional states is pivotal in the study of cellular heterogeneity. Here we proposed a cell-antibody conjugate-based sequencing methodology (Cellab-seq) for joint characterization of secreted proteins and transcriptome. Cellab-seq utilizes a chemoenzymatic strategy to construct cell-antibody conjugates, which enables the capture of secreted proteins and their signal transduction with the incorporation of barcode detection antibodies. We applied Cellab-seq to investigate how gene expression influences the activity of secreted proteins in NK cells. Altogether, this strategy facilitates a nuanced understanding of cellular dynamics under diverse physiological conditions, ultimately contributing to the prevention, diagnosis and treatment of diseases.
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Affiliation(s)
- Yachao Li
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering, Nanjing University, 163 Xianlin Avenue, Nanjing, Jiangsu 210023, China
| | - Wannan Li
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering, Nanjing University, 163 Xianlin Avenue, Nanjing, Jiangsu 210023, China
| | - Jiashang Chen
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering, Nanjing University, 163 Xianlin Avenue, Nanjing, Jiangsu 210023, China
| | - Shuang Qiu
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering, Nanjing University, 163 Xianlin Avenue, Nanjing, Jiangsu 210023, China
| | - Yilong Liu
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering, Nanjing University, 163 Xianlin Avenue, Nanjing, Jiangsu 210023, China
| | - Lingjie Xu
- Vazyme Biotech, Red Maple Hi-tech Industry Park, Kechuang Road, Qixia District, Nanjing, Jiangsu 210023, China
| | - Tian Tian
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering, Nanjing University, 163 Xianlin Avenue, Nanjing, Jiangsu 210023, China.
| | - Jie P Li
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering, Nanjing University, 163 Xianlin Avenue, Nanjing, Jiangsu 210023, China.
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15
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Yeh M, Salazar-Cavazos E, Krishnan A, Altan-Bonnet G, DeVoe DL. Probing T-cell activation in nanoliter tumor co-cultures using membrane displacement trap arrays. Integr Biol (Camb) 2024; 16:zyae014. [PMID: 39074471 PMCID: PMC11286267 DOI: 10.1093/intbio/zyae014] [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: 01/31/2024] [Revised: 06/26/2024] [Accepted: 07/18/2024] [Indexed: 07/31/2024]
Abstract
Immune responses against cancer are inherently stochastic, with small numbers of individual T cells within a larger ensemble of lymphocytes initiating the molecular cascades that lead to tumor cytotoxicity. A potential source of this intra-tumor variability is the differential ability of immune cells to respond to tumor cells. Classical microwell co-cultures of T cells and tumor cells are inadequate for reliably culturing and analyzing low cell numbers needed to probe this variability, and have failed in recapitulating the heterogeneous small domains observed in tumors. Here we leverage a membrane displacement trap array technology that overcomes limitations of conventional microwell plates for immunodynamic studies. The microfluidic platform supports on-demand formation of dense nanowell cultures under continuous perfusion reflecting the tumor microenvironment, with real-time monitoring of T cell proliferation and activation within each nanowell. The system enables selective ejection of cells for profiling by fluorescence activated cell sorting, allowing observed on-chip variability in immune response to be correlated with off-chip quantification of T cell activation. The technology offers new potential for probing the molecular origins of T cell heterogeneity and identifying specific cell phenotypes responsible for initiating and propagating immune cascades within tumors. Insight Box Variability in T cell activation plays a critical role in the immune response against cancer. New tools are needed to unravel the mechanisms that drive successful anti-tumor immune response, and to support the development of novel immunotherapies utilizing rare T cell phenotypes that promote effective immune surveillance. To this end, we present a microfluidic cell culture platform capable of probing differential T cell activation in an array of nanoliter-scale wells coupled with off-chip cell analysis, enabling a high resolution view of variable immune response within tumor / T cell co-cultures containing cell ensembles orders of magnitude smaller than conventional well plate studies.
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Affiliation(s)
- Michael Yeh
- Department of Mechanical Engineering, University of Maryland, College Park, MD 20742, United States
- Fischell Institute for Biomedical Devices, University of Maryland, College Park, MD 20742, United States
- National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, United States
| | | | - Anagha Krishnan
- National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, United States
| | - Grégoire Altan-Bonnet
- National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, United States
| | - Don L DeVoe
- Department of Mechanical Engineering, University of Maryland, College Park, MD 20742, United States
- Fischell Institute for Biomedical Devices, University of Maryland, College Park, MD 20742, United States
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16
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Zhang D, Qiao L. Microfluidics Coupled Mass Spectrometry for Single Cell Multi-Omics. SMALL METHODS 2024; 8:e2301179. [PMID: 37840412 DOI: 10.1002/smtd.202301179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 10/02/2023] [Indexed: 10/17/2023]
Abstract
Population-level analysis masks significant heterogeneity between individual cells, making it difficult to accurately reflect the true intricacies of life activities. Microfluidics is a technique that can manipulate individual cells effectively and is commonly coupled with a variety of analytical methods for single-cell analysis. Single-cell omics provides abundant molecular information at the single-cell level, fundamentally revealing differences in cell types and biological states among cell individuals, leading to a deeper understanding of cellular phenotypes and life activities. Herein, this work summarizes the microfluidic chips designed for single-cell isolation, manipulation, trapping, screening, and sorting, including droplet microfluidic chips, microwell arrays, hydrodynamic microfluidic chips, and microchips with microvalves. This work further reviews the studies on single-cell proteomics, metabolomics, lipidomics, and multi-omics based on microfluidics and mass spectrometry. Finally, the challenges and future application of single-cell multi-omics are discussed.
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Affiliation(s)
- Dongxue Zhang
- Department of Chemistry, Institutes of Biomedical Sciences, and Minhang Hospital, Fudan University, Shanghai, 20000, China
| | - Liang Qiao
- Department of Chemistry, Institutes of Biomedical Sciences, and Minhang Hospital, Fudan University, Shanghai, 20000, China
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17
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Zhu Z, Jiang L, Ding X. Advancing Breast Cancer Heterogeneity Analysis: Insights from Genomics, Transcriptomics and Proteomics at Bulk and Single-Cell Levels. Cancers (Basel) 2023; 15:4164. [PMID: 37627192 PMCID: PMC10452610 DOI: 10.3390/cancers15164164] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 07/23/2023] [Accepted: 08/16/2023] [Indexed: 08/27/2023] Open
Abstract
Breast cancer continues to pose a significant healthcare challenge worldwide for its inherent molecular heterogeneity. This review offers an in-depth assessment of the molecular profiling undertaken to understand this heterogeneity, focusing on multi-omics strategies applied both in traditional bulk and single-cell levels. Genomic investigations have profoundly informed our comprehension of breast cancer, enabling its categorization into six intrinsic molecular subtypes. Beyond genomics, transcriptomics has rendered deeper insights into the gene expression landscape of breast cancer cells. It has also facilitated the formulation of more precise predictive and prognostic models, thereby enriching the field of personalized medicine in breast cancer. The comparison between traditional and single-cell transcriptomics has identified unique gene expression patterns and facilitated the understanding of cell-to-cell variability. Proteomics provides further insights into breast cancer subtypes by illuminating intricate protein expression patterns and their post-translational modifications. The adoption of single-cell proteomics has been instrumental in this regard, revealing the complex dynamics of protein regulation and interaction. Despite these advancements, this review underscores the need for a holistic integration of multiple 'omics' strategies to fully decipher breast cancer heterogeneity. Such integration not only ensures a comprehensive understanding of breast cancer's molecular complexities, but also promotes the development of personalized treatment strategies.
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Affiliation(s)
- Zijian Zhu
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, Shanghai Jiao Tong University, Shanghai 200030, China;
| | - Lai Jiang
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200025, China;
| | - Xianting Ding
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, Shanghai Jiao Tong University, Shanghai 200030, China;
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200025, China;
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18
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Li Y, Zhang H, Li Q, Deng Y, Ye Z, Gui L. Texture-structure-based liquid metal filling for blind-end microchannels and its application on multi-layer chips. RSC Adv 2023; 13:24228-24236. [PMID: 37583671 PMCID: PMC10424060 DOI: 10.1039/d3ra04497a] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 08/04/2023] [Indexed: 08/17/2023] Open
Abstract
This research work reports a novel method to achieve fast liquid metal (LM) injection in blind-end microchannels which is especially suitable for multi-layer microfluidic chips. This method is based on a texture-like surface bonding technology. The texture-like surface is fabricated on a polydimethylsiloxane (PDMS) slab with standard soft-lithography technology and bonded with another PDMS slab with microelectrode patterns on it. When injected with LM, the texture-like structure can prevent the LM from entering but allows the air inside to be released during the injection to achieve perfect blind-end complex LM electrodes. The experimental results show that it can achieve fast and perfect LM injection in the blind-end pattern and can also prevent the large area of the flat chamber from collapsing during bonding. We also parametrically studied the texture structure's size for bonding strength between the texture structure and the blank PDMS surface. In addition, we integrate three layers of blind-end complex liquid metal patterns into one multi-layer chip using this technology and later use this structure to realize series connection of two LM-based electroosmotic micropumps (EOP). Compared with the conventional LM-based EOP, the structure of the EOP chip was greatly simplified and resulted in a higher level of integration.
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Affiliation(s)
- Yuqing Li
- Key Laboratory of Cryogenics, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences 29 Zhongguancun East Road, Haidian District Beijing 100190 China
- School of Future Technology, University of Chinese Academy of Sciences Beijing 10039 China
| | - Huimin Zhang
- Key Laboratory of Cryogenics, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences 29 Zhongguancun East Road, Haidian District Beijing 100190 China
- School of Engineering Science, University of Chinese Academy of Sciences Beijing 10039 China
| | - Qian Li
- Key Laboratory of Cryogenics, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences 29 Zhongguancun East Road, Haidian District Beijing 100190 China
- School of Engineering Science, University of Chinese Academy of Sciences Beijing 10039 China
| | - Yuqin Deng
- Key Laboratory of Cryogenics, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences 29 Zhongguancun East Road, Haidian District Beijing 100190 China
- School of Future Technology, University of Chinese Academy of Sciences Beijing 10039 China
| | - Zi Ye
- Key Laboratory of Cryogenics, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences 29 Zhongguancun East Road, Haidian District Beijing 100190 China
| | - Lin Gui
- Key Laboratory of Cryogenics, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences 29 Zhongguancun East Road, Haidian District Beijing 100190 China
- School of Future Technology, University of Chinese Academy of Sciences Beijing 10039 China
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19
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Liang S, Yao J, Liu D, Rao L, Chen X, Wang Z. Harnessing Nanomaterials for Cancer Sonodynamic Immunotherapy. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2211130. [PMID: 36881527 DOI: 10.1002/adma.202211130] [Citation(s) in RCA: 45] [Impact Index Per Article: 45.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 02/12/2023] [Indexed: 06/18/2023]
Abstract
Immunotherapy has made remarkable strides in cancer therapy over the past decade. However, such emerging therapy still suffers from the low response rates and immune-related adverse events. Various strategies have been developed to overcome these serious challenges. Therein, sonodynamic therapy (SDT), as a non-invasive treatment, has received ever-increasing attention especially in the treatment of deep-seated tumors. Significantly, SDT can effectively induce immunogenic cell death to trigger systemic anti-tumor immune response, termed sonodynamic immunotherapy. The rapid development of nanotechnology has revolutionized SDT effects with robust immune response induction. As a result, more and more innovative nanosonosensitizers and synergistic treatment modalities are established with superior efficacy and safe profile. In this review, the recent advances in cancer sonodynamic immunotherapy are summarized with a particular emphasis on how nanotechnology can be explored to harness SDT for amplifying anti-tumor immune response. Moreover, the current challenges in this field and the prospects for its clinical translation are also presented. It is anticipated that this review can provide rational guidance and facilitate the development of nanomaterials-assisted sonodynamic immunotherapy, helping to pave the way for next-generation cancer therapy and eventually achieve a durable response in patients.
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Affiliation(s)
- Shuang Liang
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100050, China
- Beijing Key Laboratory of Drug Delivery Technology and Novel Formulation, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100050, China
| | - Jianjun Yao
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100050, China
- Beijing Key Laboratory of Drug Delivery Technology and Novel Formulation, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100050, China
- School of Life Sciences and Biopharmaceutical Science, Shenyang Pharmaceutical University, Shenyang, 110016, China
| | - Dan Liu
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100050, China
- Beijing Key Laboratory of Drug Delivery Technology and Novel Formulation, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100050, China
| | - Lang Rao
- Institute of Biomedical Health Technology and Engineering, Shenzhen Bay Laboratory, Shenzhen, 518132, China
| | - Xiaoyuan Chen
- Departments of Diagnostic Radiology, Surgery, Chemical and Biomolecular Engineering, and Biomedical Engineering, Yong Loo Lin School of Medicine and College of Design and Engineering, National University of Singapore, Singapore, 119074
- Clinical Imaging Research Centre, Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117599, Singapore
- Nanomedicine Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore
- Institute of Molecular and Cell Biology, Agency for Science, Technology, and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Singapore
| | - Zhaohui Wang
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100050, China
- Beijing Key Laboratory of Drug Delivery Technology and Novel Formulation, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100050, China
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20
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Rathore D, Marino MJ, Nita-Lazar A. Omics and systems view of innate immune pathways. Proteomics 2023; 23:e2200407. [PMID: 37269203 DOI: 10.1002/pmic.202200407] [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: 02/14/2023] [Revised: 04/16/2023] [Accepted: 05/23/2023] [Indexed: 06/04/2023]
Abstract
Multiomics approaches to studying systems biology are very powerful techniques that can elucidate changes in the genomic, transcriptomic, proteomic, and metabolomic levels within a cell type in response to an infection. These approaches are valuable for understanding the mechanisms behind disease pathogenesis and how the immune system responds to being challenged. With the emergence of the COVID-19 pandemic, the importance and utility of these tools have become evident in garnering a better understanding of the systems biology within the innate and adaptive immune response and for developing treatments and preventative measures for new and emerging pathogens that pose a threat to human health. In this review, we focus on state-of-the-art omics technologies within the scope of innate immunity.
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Affiliation(s)
- Deepali Rathore
- Functional Cellular Networks Section, Laboratory of Immune Systems Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Matthew J Marino
- Functional Cellular Networks Section, Laboratory of Immune Systems Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Aleksandra Nita-Lazar
- Functional Cellular Networks Section, Laboratory of Immune Systems Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
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21
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Wu X, Liu YK, Iliuk AB, Tao WA. Mass spectrometry-based phosphoproteomics in clinical applications. Trends Analyt Chem 2023; 163:117066. [PMID: 37215489 PMCID: PMC10195102 DOI: 10.1016/j.trac.2023.117066] [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] [Indexed: 05/24/2023]
Abstract
Protein phosphorylation is an essential post-translational modification that regulates many aspects of cellular physiology, and dysregulation of pivotal phosphorylation events is often responsible for disease onset and progression. Clinical analysis on disease-relevant phosphoproteins, while quite challenging, provides unique information for precision medicine and targeted therapy. Among various approaches, mass spectrometry (MS)-centered characterization features discovery-driven, high-throughput and in-depth identification of phosphorylation events. This review highlights advances in sample preparation and instrument in MS-based phosphoproteomics and recent clinical applications. We emphasize the preeminent data-independent acquisition method in MS as one of the most promising future directions and biofluid-derived extracellular vesicles as an intriguing source of the phosphoproteome for liquid biopsy.
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Affiliation(s)
- Xiaofeng Wu
- Department of Chemistry, Purdue University, West Lafayette, IN, USA
| | - Yi-Kai Liu
- Department of Biochemistry, Purdue University, West Lafayette, IN, USA
| | - Anton B. Iliuk
- Department of Biochemistry, Purdue University, West Lafayette, IN, USA
- Tymora Analytical Operations, West Lafayette, IN, USA
| | - W. Andy Tao
- Department of Chemistry, Purdue University, West Lafayette, IN, USA
- Department of Biochemistry, Purdue University, West Lafayette, IN, USA
- Tymora Analytical Operations, West Lafayette, IN, USA
- Center for Cancer Research, Purdue University, West Lafayette, IN, USA
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22
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Yang L, Dutta P, Davuluri RV, Wang J. Rapid, High-Throughput Single-Cell Multiplex In Situ Tagging (MIST) Analysis of Immunological Disease with Machine Learning. Anal Chem 2023; 95:7779-7787. [PMID: 37141575 PMCID: PMC10365012 DOI: 10.1021/acs.analchem.3c01157] [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] [Indexed: 05/06/2023]
Abstract
The cascade of immune responses involves activation of diverse immune cells and release of a large amount of cytokines, which leads to either normal, balanced inflammation or hyperinflammatory responses and even organ damage by sepsis. Conventional diagnosis of immunological disorders based on multiple cytokines in the blood serum has varied accuracy, and it is difficult to distinguish normal inflammation from sepsis. Herein, we present an approach to detect immunological disorders through rapid, ultrahigh-multiplex analysis of T cells using single-cell multiplex in situ tagging (scMIST) technology. scMIST permits simultaneous detection of 46 markers and cytokines from single cells without the assistance of special instruments. A cecal ligation and puncture sepsis model was built to supply T cells from two groups of mice that survived the surgery or died after 1 day. The scMIST assays have captured the T cell features and the dynamics over the course of recovery. Compared with cytokines in the peripheral blood, T cell markers show different dynamics and cytokine levels. We have applied a random forest machine learning model to single T cells from two groups of mice. Through training, the model has been able to predict the group of mice through T cell classification and majority rule with 94% accuracy. Our approach pioneers the direction of single-cell omics and could be widely applicable to human diseases.
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Affiliation(s)
- Liwei Yang
- Multiplex Biotechnology Laboratory, Department of Biomedical Engineering, State University of New York at Stony Brook, Stony Brook, NY 11794
| | - Pratik Dutta
- Department of Biomedical Informatics, State University of New York at Stony Brook, Stony Brook, NY 11794
| | - Ramana V. Davuluri
- Department of Biomedical Informatics, State University of New York at Stony Brook, Stony Brook, NY 11794
| | - Jun Wang
- Multiplex Biotechnology Laboratory, Department of Biomedical Engineering, State University of New York at Stony Brook, Stony Brook, NY 11794
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23
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Meeseepong M, Ghosh G, Shrivastava S, Lee NE. Fluorescence-Enhanced Microfluidic Biosensor Platform Based on Magnetic Beads with Highly Stable ZnO Nanorods for Biomarker Detection. ACS APPLIED MATERIALS & INTERFACES 2023; 15:21754-21765. [PMID: 37104719 DOI: 10.1021/acsami.2c22352] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Existing affinity-based fluorescence biosensing systems for monitoring of biomarkers often utilize a fixed solid substrate immobilized with capture probes limiting their use in continuous or intermittent biomarker detection. Furthermore, there have been challenges of integrating fluorescence biosensors with a microfluidic chip and low-cost fluorescence detector. Herein, we demonstrated a highly efficient and movable fluorescence-enhanced affinity-based fluorescence biosensing platform that can overcome the current limitations by combining fluorescence enhancement and digital imaging. Fluorescence-enhanced movable magnetic beads (MBs) decorated with zinc oxide nanorods (MB-ZnO NRs) were used for digital fluorescence-imaging-based aptasensing of biomolecules with improved signal-to-noise ratio. High stability and homogeneous dispersion of photostable MB-ZnO NRs were obtained by grafting bilayered silanes onto the ZnO NRs. The ZnO NRs formed on MB significantly improved the fluorescence signal up to 2.35 times compared to the MB without ZnO NRs. Moreover, the integration of a microfluidic device for flow-based biosensing enabled continuous measurements of biomarkers in an electrolytic environment. The results showed that highly stable fluorescence-enhanced MB-ZnO NRs integrated with a microfluidic platform have significant potential for diagnostics, biological assays, and continuous or intermittent biomonitoring.
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Affiliation(s)
- Montri Meeseepong
- SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon, Gyeonggi-do 16419, Korea
| | - Gargi Ghosh
- School of Advanced Materials Science & Engineering, Sungkyunkwan University, Suwon, Gyeonggi-do 16419, Korea
| | - Sajal Shrivastava
- Symbiosis Centre for Nanoscience and Nanotechnology, Symbiosis International University, Pune 412115, India
| | - Nae-Eung Lee
- SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon, Gyeonggi-do 16419, Korea
- School of Advanced Materials Science & Engineering, Sungkyunkwan University, Suwon, Gyeonggi-do 16419, Korea
- Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Suwon, Gyeonggi-do 16419, Korea
- Institute of Quantum Biophysics (IQB), Sungkyunkwan University, Suwon, Gyeonggi-do 16419, Korea
- Biomedical Institute for Convergence at SKKU (BICS), Sungkyunkwan University, Suwon, Gyeonggi-do 16419, Korea
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24
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Ansaryan S, Liu YC, Li X, Economou AM, Eberhardt CS, Jandus C, Altug H. High-throughput spatiotemporal monitoring of single-cell secretions via plasmonic microwell arrays. Nat Biomed Eng 2023:10.1038/s41551-023-01017-1. [PMID: 37012313 PMCID: PMC10365996 DOI: 10.1038/s41551-023-01017-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 03/02/2023] [Indexed: 04/05/2023]
Abstract
Methods for the analysis of cell secretions at the single-cell level only provide semiquantitative endpoint readouts. Here we describe a microwell array for the real-time spatiotemporal monitoring of extracellular secretions from hundreds of single cells in parallel. The microwell array incorporates a gold substrate with arrays of nanometric holes functionalized with receptors for a specific analyte, and is illuminated with light spectrally overlapping with the device's spectrum of extraordinary optical transmission. Spectral shifts in surface plasmon resonance resulting from analyte-receptor bindings around a secreting cell are recorded by a camera as variations in the intensity of the transmitted light while machine-learning-assisted cell tracking eliminates the influence of cell movements. We used the microwell array to characterize the antibody-secretion profiles of hybridoma cells and of a rare subset of antibody-secreting cells sorted from human donor peripheral blood mononuclear cells. High-throughput measurements of spatiotemporal secretory profiles at the single-cell level will aid the study of the physiological mechanisms governing protein secretion.
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Affiliation(s)
- Saeid Ansaryan
- Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Yen-Cheng Liu
- Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Xiaokang Li
- Department of Oncology, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
- Ludwig Institute for Cancer Research, Lausanne Branch, Agora Center, Lausanne, Switzerland
| | | | - Christiane Sigrid Eberhardt
- Center for Vaccinology, University Hospitals Geneva and University of Geneva, Geneva, Switzerland
- Division of General Pediatrics, Department of Woman, Child and Adolescent Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland
| | - Camilla Jandus
- Ludwig Institute for Cancer Research, Lausanne Branch, Agora Center, Lausanne, Switzerland
- Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland
| | - Hatice Altug
- Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
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25
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Gebreyesus ST, Muneer G, Huang CC, Siyal AA, Anand M, Chen YJ, Tu HL. Recent advances in microfluidics for single-cell functional proteomics. LAB ON A CHIP 2023; 23:1726-1751. [PMID: 36811978 DOI: 10.1039/d2lc01096h] [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
Single-cell proteomics (SCP) reveals phenotypic heterogeneity by profiling individual cells, their biological states and functional outcomes upon signaling activation that can hardly be probed via other omics characterizations. This has become appealing to researchers as it enables an overall more holistic view of biological details underlying cellular processes, disease onset and progression, as well as facilitates unique biomarker identification from individual cells. Microfluidic-based strategies have become methods of choice for single-cell analysis because they allow facile assay integrations, such as cell sorting, manipulation, and content analysis. Notably, they have been serving as an enabling technology to improve the sensitivity, robustness, and reproducibility of recently developed SCP methods. Critical roles of microfluidics technologies are expected to further expand rapidly in advancing the next phase of SCP analysis to reveal more biological and clinical insights. In this review, we will capture the excitement of the recent achievements of microfluidics methods for both targeted and global SCP, including efforts to enhance the proteomic coverage, minimize sample loss, and increase multiplexity and throughput. Furthermore, we will discuss the advantages, challenges, applications, and future prospects of SCP.
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Affiliation(s)
- Sofani Tafesse Gebreyesus
- Institute of Chemistry, Academia Sinica, Taipei 11529, Taiwan.
- Nano Science and Technology Program, Taiwan International Graduate Program, Academia Sinica, Taipei 11529, Taiwan
- Department of Chemistry, National Taiwan University, Taipei 10617, Taiwan
| | - Gul Muneer
- Institute of Chemistry, Academia Sinica, Taipei 11529, Taiwan.
- Chemical Biology and Molecular Biophysics Program, Taiwan International Graduate Program, Academia Sinica, Taipei 11529, Taiwan
- Institute of Biochemical Sciences, National Taiwan University, Taipei 10617, Taiwan
| | | | - Asad Ali Siyal
- Institute of Chemistry, Academia Sinica, Taipei 11529, Taiwan.
| | - Mihir Anand
- Institute of Chemistry, Academia Sinica, Taipei 11529, Taiwan.
- Chemical Biology and Molecular Biophysics Program, Taiwan International Graduate Program, Academia Sinica, Taipei 11529, Taiwan
- Institute of Biochemical Sciences, National Taiwan University, Taipei 10617, Taiwan
| | - Yu-Ju Chen
- Institute of Chemistry, Academia Sinica, Taipei 11529, Taiwan.
- Department of Chemistry, National Taiwan University, Taipei 10617, Taiwan
- Chemical Biology and Molecular Biophysics Program, Taiwan International Graduate Program, Academia Sinica, Taipei 11529, Taiwan
- Genome and Systems Biology Degree Program, Academia Sinica and National Taiwan University, Taipei 10617, Taiwan
| | - Hsiung-Lin Tu
- Institute of Chemistry, Academia Sinica, Taipei 11529, Taiwan.
- Nano Science and Technology Program, Taiwan International Graduate Program, Academia Sinica, Taipei 11529, Taiwan
- Chemical Biology and Molecular Biophysics Program, Taiwan International Graduate Program, Academia Sinica, Taipei 11529, Taiwan
- Genome and Systems Biology Degree Program, Academia Sinica and National Taiwan University, Taipei 10617, Taiwan
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26
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Sabaté Del Río J, Ro J, Yoon H, Park TE, Cho YK. Integrated technologies for continuous monitoring of organs-on-chips: Current challenges and potential solutions. Biosens Bioelectron 2023; 224:115057. [PMID: 36640548 DOI: 10.1016/j.bios.2022.115057] [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: 06/30/2022] [Revised: 12/29/2022] [Accepted: 12/30/2022] [Indexed: 01/03/2023]
Abstract
Organs-on-chips (OoCs) are biomimetic in vitro systems based on microfluidic cell cultures that recapitulate the in vivo physicochemical microenvironments and the physiologies and key functional units of specific human organs. These systems are versatile and can be customized to investigate organ-specific physiology, pathology, or pharmacology. They are more physiologically relevant than traditional two-dimensional cultures, can potentially replace the animal models or reduce the use of these models, and represent a unique opportunity for the development of personalized medicine when combined with human induced pluripotent stem cells. Continuous monitoring of important quality parameters of OoCs via a label-free, non-destructive, reliable, high-throughput, and multiplex method is critical for assessing the conditions of these systems and generating relevant analytical data; moreover, elaboration of quality predictive models is required for clinical trials of OoCs. Presently, these analytical data are obtained by manual or automatic sampling and analyzed using single-point, off-chip traditional methods. In this review, we describe recent efforts to integrate biosensing technologies into OoCs for monitoring the physiologies, functions, and physicochemical microenvironments of OoCs. Furthermore, we present potential alternative solutions to current challenges and future directions for the application of artificial intelligence in the development of OoCs and cyber-physical systems. These "smart" OoCs can learn and make autonomous decisions for process optimization, self-regulation, and data analysis.
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Affiliation(s)
- Jonathan Sabaté Del Río
- Center for Soft and Living Matter, Institute for Basic Science (IBS), Ulsan, 44919, Republic of Korea
| | - Jooyoung Ro
- Center for Soft and Living Matter, Institute for Basic Science (IBS), Ulsan, 44919, Republic of Korea; Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Heejeong Yoon
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Tae-Eun Park
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.
| | - Yoon-Kyoung Cho
- Center for Soft and Living Matter, Institute for Basic Science (IBS), Ulsan, 44919, Republic of Korea; Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.
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27
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Cedillo-Alcantar DF, Rodriguez-Moncayo R, Maravillas-Montero JL, Garcia-Cordero JL. On-Chip Analysis of Protein Secretion from Single Cells Using Microbead Biosensors. ACS Sens 2023; 8:655-664. [PMID: 36710459 DOI: 10.1021/acssensors.2c02148] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
The profiling of the effector functions of single immune cells─including cytokine secretion─can lead to a deeper understanding of how the immune system operates and to potential diagnostics and therapeutical applications. Here, we report a microfluidic device that pairs single cells and antibody-functionalized microbeads in hydrodynamic traps to quantitate cytokine secretion. The device contains 1008 microchambers, each with a volume of ∼500 pL, divided into six different sections individually addressed to deliver an equal number of chemical stimuli. Integrating microvalves allowed us to isolate cell/bead pairs, preventing cross-contamination with factors secreted by adjacent cells. We implemented a fluorescence sandwich immunoassay on the biosensing microbeads with a limit of detection of 9 pg/mL and were able to detect interleukin-8 (IL-8) secreted by single blood-derived human monocytes in response to different concentrations of LPS. Finally, our platform allowed us to observe a significant decrease in the number of IL-8-secreting monocytes when paracrine signaling becomes disrupted. Overall, our platform could have a variety of applications for which the analysis of cellular function heterogeneity is necessary, such as cancer research, antibody discovery, or rare cell screening.
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Affiliation(s)
- Diana F Cedillo-Alcantar
- Laboratory of Microtechnologies for Biomedicine, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (Cinvestav), Monterrey 66628, Nuevo León Mexico
| | - Roberto Rodriguez-Moncayo
- Laboratory of Microtechnologies for Biomedicine, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (Cinvestav), Monterrey 66628, Nuevo León Mexico
| | - Jose L Maravillas-Montero
- Red de Apoyo a la Investigación, Universidad Nacional Autónoma de México e Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico
| | - Jose L Garcia-Cordero
- Laboratory of Microtechnologies for Biomedicine, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (Cinvestav), Monterrey 66628, Nuevo León Mexico.,Roche Institute for Translational Bioengineering (ITB), Roche Pharma Research and Early Development, Roche Innovation Center Basel, Basel 4058, Switzerland
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28
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Koo D, Mao Z, Dimatteo R, Tsubamoto N, Noguchi M, McLaughlin J, Tran W, Lee S, Cheng D, de Rutte J, Sojo GB, Witte ON, Di Carlo D. Defining T cell receptor repertoires using nanovial-based affinity and functional screening. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.17.524440. [PMID: 36711524 PMCID: PMC9882161 DOI: 10.1101/2023.01.17.524440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
The ability to selectively bind to antigenic peptides and secrete cytokines can define populations of cells with therapeutic potential in emerging T cell receptor (TCR) immunotherapies. We leverage cavity-containing hydrogel microparticles, called nanovials, each coated with millions of peptide-major histocompatibility complex (pMHC) monomers to isolate antigen-reactive T cells. T cells are captured and activated by pMHCs and secrete cytokines on nanovials, allowing sorting based on both affinity and function. The TCRs of sorted cells on nanovials are sequenced, recovering paired αβ-chains using microfluidic emulsion-based single-cell sequencing. By labeling nanovials having different pMHCs with unique oligonucleotide-barcodes we could link TCR sequence to targets with 100% accuracy. We identified with high specificity an expanded repertoire of functional TCRs targeting viral antigens compared to standard techniques.
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Affiliation(s)
- Doyeon Koo
- Department of Bioengineering, University of California, Los Angeles; Los Angeles, CA 90095, USA
| | - Zhiyuan Mao
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles; Los Angeles, CA 90095, USA
| | - Robert Dimatteo
- Department of Chemical and Biomolecular Engineering, University of California, Los Angeles; Los Angeles, CA 90095, USA
| | - Natalie Tsubamoto
- Department of Bioengineering, University of California, Los Angeles; Los Angeles, CA 90095, USA
| | - Miyako Noguchi
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles; Los Angeles, CA 90095, USA
| | - Jami McLaughlin
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles; Los Angeles, CA 90095, USA
| | - Wendy Tran
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles; Los Angeles, CA 90095, USA
| | - Sohyung Lee
- Department of Chemical and Biomolecular Engineering, University of California, Los Angeles; Los Angeles, CA 90095, USA
| | - Donghui Cheng
- Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles; Los Angeles, CA 90095, USA
| | - Joseph de Rutte
- Department of Bioengineering, University of California, Los Angeles; Los Angeles, CA 90095, USA
- Partillion Bioscience; Los Angeles, CA 90095, USA
| | - Giselle Burton Sojo
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles; Los Angeles, CA 90095, USA
| | - Owen N. Witte
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles; Los Angeles, CA 90095, USA
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles; Los Angeles, CA 90095, USA
- Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles; Los Angeles, CA 90095, USA
- Molecular Biology Institute, University of California, Los Angeles; Los Angeles, CA 90095, USA
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles; Los Angeles, CA 90095, USA
- Parker Institute for Cancer Immunotherapy, David Geffen School of Medicine, University of California, Los Angeles; Los Angeles, CA 90095, USA
| | - Dino Di Carlo
- Department of Bioengineering, University of California, Los Angeles; Los Angeles, CA 90095, USA
- Partillion Bioscience; Los Angeles, CA 90095, USA
- Department of Mechanical and Aerospace Engineering, University of California, Los Angeles; Los Angeles, CA 90095, USA
- California NanoSystems Institute; Los Angeles, CA 90095, USA
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29
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Zhu F, Liu S, Bai X, Liu X, Lin B, Lu Y. Point‐of‐care multiplexed single‐cell protein secretion analysis based on tyramide signal amplification. VIEW 2022. [DOI: 10.1002/viw.20220033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Affiliation(s)
- Fengjiao Zhu
- Department of Biotechnology Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian China
- University of Chinese Academy of Sciences Beijing China
| | - Songnan Liu
- Department of Biotechnology Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian China
- University of Chinese Academy of Sciences Beijing China
| | - Xue Bai
- Department of Biotechnology Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian China
| | - Xianming Liu
- Department of Biotechnology Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian China
| | - Bingcheng Lin
- Department of Biotechnology Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian China
| | - Yao Lu
- Department of Biotechnology Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian China
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30
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Press WH. Fast trimer statistics facilitate accurate decoding of large random DNA barcode sets even at large sequencing error rates. PNAS NEXUS 2022; 1:pgac252. [PMID: 36712375 PMCID: PMC9802387 DOI: 10.1093/pnasnexus/pgac252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 10/31/2022] [Indexed: 11/06/2022]
Abstract
Predefined sets of short DNA sequences are commonly used as barcodes to identify individual biomolecules in pooled populations. Such use requires either sufficiently small DNA error rates, or else an error-correction methodology. Most existing DNA error-correcting codes (ECCs) correct only one or two errors per barcode in sets of typically ≲104 barcodes. We here consider the use of random barcodes of sufficient length that they remain accurately decodable even with ≳6 errors and even at [Formula: see text] or 20% nucleotide error rates. We show that length ∼34 nt is sufficient even with ≳106 barcodes. The obvious objection to this scheme is that it requires comparing every read to every possible barcode by a slow Levenshtein or Needleman-Wunsch comparison. We show that several orders of magnitude speedup can be achieved by (i) a fast triage method that compares only trimer (three consecutive nucleotide) occurence statistics, precomputed in linear time for both reads and barcodes, and (ii) the massive parallelism available on today's even commodity-grade Graphics Processing Units (GPUs). With 106 barcodes of length 34 and 10% DNA errors (substitutions and indels), we achieve in simulation 99.9% precision (decode accuracy) with 98.8% recall (read acceptance rate). Similarly high precision with somewhat smaller recall is achievable even with 20% DNA errors. The amortized computation cost on a commodity workstation with two GPUs (2022 capability and price) is estimated as between US$ 0.15 and US$ 0.60 per million decoded reads.
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31
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Azimian Zavareh V, Rafiee L, Sheikholeslam M, Shariati L, Vaseghi G, Savoji H, Haghjooy Javanmard S. Three-Dimensional in Vitro Models: A Promising Tool To Scale-Up Breast Cancer Research. ACS Biomater Sci Eng 2022; 8:4648-4672. [PMID: 36260561 DOI: 10.1021/acsbiomaterials.2c00277] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Common models used in breast cancer studies, including two-dimensional (2D) cultures and animal models, do not precisely model all aspects of breast tumors. These models do not well simulate the cell-cell and cell-stromal interactions required for normal tumor growth in the body and lake tumor like microenvironment. Three-dimensional (3D) cell culture models are novel approaches to studying breast cancer. They do not have the restrictions of these conventional models and are able to recapitulate the structural architecture, complexity, and specific function of breast tumors and provide similar in vivo responses to therapeutic regimens. These models can be a link between former traditional 2D culture and in vivo models and are necessary for further studies in cancer. This review attempts to summarize the most common 3D in vitro models used in breast cancer studies, including scaffold-free (spheroid and organoid), scaffold-based, and chip-based models, particularly focused on the basic and translational application of these 3D models in drug screening and the tumor microenvironment in breast cancer.
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Affiliation(s)
- Vajihe Azimian Zavareh
- Applied Physiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan 81746 73461, Iran.,Core Research Facilities (CRF), Isfahan University of Medical Sciences, Isfahan 81746 73461, Iran
| | - Laleh Rafiee
- Applied Physiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan 81746 73461, Iran
| | - Mohammadali Sheikholeslam
- Department of Biomaterials, Nanotechnology and Tissue Engineering, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan 81746 73461, Iran.,Biosensor Research Center, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan 81746 73461, Iran
| | - Laleh Shariati
- Department of Biomaterials, Nanotechnology and Tissue Engineering, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan 81746 73461, Iran.,Cancer Prevention Research Center, Omid Hospital, Isfahan University of Medical Sciences, Isfahan 81746 73461, Iran
| | - Golnaz Vaseghi
- Isfahan Cardiovascular Research Center, Isfahan Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan 81746 73461, Iran
| | - Houman Savoji
- Institute of Biomedical Engineering, Department of Pharmacology and Physiology, Faculty of Medicine, University of Montreal, Montreal, QC H3T 1J4, Canada.,Research Center, Centre Hospitalier Universitaire Sainte-Justine, Montreal, QC H3T 1C5, Canada.,Montreal TransMedTech Institute, Montreal, QC H3T 1J4, Canada
| | - Shaghayegh Haghjooy Javanmard
- Applied Physiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan 81746 73461, Iran
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32
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Morales RTT, Ko J. Future of Digital Assays to Resolve Clinical Heterogeneity of Single Extracellular Vesicles. ACS NANO 2022; 16:11619-11645. [PMID: 35904433 PMCID: PMC10174080 DOI: 10.1021/acsnano.2c04337] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Extracellular vesicles (EVs) are complex lipid membrane vehicles with variable expressions of molecular cargo, composed of diverse subpopulations that participate in the intercellular signaling of biological responses in disease. EV-based liquid biopsies demonstrate invaluable clinical potential for overhauling current practices of disease management. Yet, EV heterogeneity is a major needle-in-a-haystack challenge to translate their use into clinical practice. In this review, existing digital assays will be discussed to analyze EVs at a single vesicle resolution, and future opportunities to optimize the throughput, multiplexing, and sensitivity of current digital EV assays will be highlighted. Furthermore, this review will outline the challenges and opportunities that impact the clinical translation of single EV technologies for disease diagnostics and treatment monitoring.
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Affiliation(s)
- Renee-Tyler T Morales
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| | - Jina Ko
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
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33
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Yu H, Tai Q, Yang C, Weng L, Gao M, Zhang X. Counting Protein Number in a Single Cell by a Picoliter Liquid Operating Technology. Anal Chem 2022; 94:11925-11933. [PMID: 35980697 DOI: 10.1021/acs.analchem.2c02701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Ultra-low-copy number proteins play a crucial role in exploring cellular heterogeneity and the insight of protein biomarkers in a single cell. However, counting ultra-low-copy number target proteins in a single cell remains a grand challenge. Herein, we developed a so-called single-cell picoliter liquid operating technology for counting target proteins in a single cell. An ingenious volume-controllable sampling technique was employed to capture a single cell for subsequent analysis. Remarkably, 50 pL of sample volume was employed for sample preparation, single-cell capture, in-droplet lysis, and target protein immobilization on a functionalized coverslip in a monolayer. Then, target protein antibodies coupled with quantum dots were added and incubated to label those immobilized proteins. After clean-up, a single-view image under 100× objective was taken, and the 80 × 80 μm2 view image was then applied to count the precise copy number of the target proteins in the single cell. Furthermore, good linearity and repeatability were achieved for ultra-low-copy number proteins, ranging from 1 to 1500. Finally, the expression level of human epidermal growth factor receptor 2 in single cells from both MCF-7 and MDA-MB-231 cell lines was also analyzed. In a word, this work stimulated the development of capillary-based single-cell analysis and updated the connotation of counting ultra-low-copy number proteins.
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Affiliation(s)
- Hailong Yu
- Department of Chemistry and Institutes of Biomedical Sciences, Fudan University, Shanghai 200433, China
| | - Qunfei Tai
- Department of Chemistry and Institutes of Biomedical Sciences, Fudan University, Shanghai 200433, China
| | - Chenjie Yang
- Department of Chemistry and Institutes of Biomedical Sciences, Fudan University, Shanghai 200433, China
| | - Lingxiao Weng
- Department of Chemistry and Institutes of Biomedical Sciences, Fudan University, Shanghai 200433, China
| | - Mingxia Gao
- Department of Chemistry and Institutes of Biomedical Sciences, Fudan University, Shanghai 200433, China
| | - Xiangmin Zhang
- Department of Chemistry and Institutes of Biomedical Sciences, Fudan University, Shanghai 200433, China
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Chen Y, Guo J. Multiplexed Single-Cell in Situ Protein Profiling. ACS MEASUREMENT SCIENCE AU 2022; 2:296-303. [PMID: 35996537 PMCID: PMC9389644 DOI: 10.1021/acsmeasuresciau.2c00011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The ability to profile a large number of different proteins in individual cells in their native cellular locations is critical to accelerate our understanding of normal cell physiology and disease pathogenesis. Bulk cell protein quantification masks the cell heterogeneity in complex biological systems, while conventional immunofluorescence or immunohistochemistry are limited by their low multiplexing capacity. Recent technological advances in multiplexed protein imaging approaches allow many distinct proteins to be analyzed in single cells in situ. These methods will bring new insights into various biological and biomedical fields, such as cell type and subtype classification, signaling network regulation, tissue architecture, and disease diagnosis and prognosis, along with treatment monitoring. In this Review, we will describe the recent advances of multiplexed single-cell in situ protein profiling technologies, discuss their unique advantages and limitations, highlight their applications in biology and medicine, present the current challenges, and propose potential solutions.
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Urbiola-Salvador V, Miroszewska D, Jabłońska A, Qureshi T, Chen Z. Proteomics approaches to characterize the immune responses in cancer. BIOCHIMICA ET BIOPHYSICA ACTA. MOLECULAR CELL RESEARCH 2022; 1869:119266. [PMID: 35390423 DOI: 10.1016/j.bbamcr.2022.119266] [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: 10/14/2021] [Revised: 03/01/2022] [Accepted: 03/28/2022] [Indexed: 06/14/2023]
Abstract
Despite the dynamic development of cancer research, annually millions of people die of cancer. The human immune system is the major 'guard' against tumor development. Unfortunately, cancer cells have the ability to evade the immune system and continue to grow. The proper understanding of the intricate immune response in tumorigenesis remains the holy grail of cancer immunology and designing effective immunotherapy. To decode the immune responses in cancer, in recent years, proteomics studies have received considerable attention. Proteomics studies focus on the detection and quantification of proteins, which are the effectors of biological functions, and as such, are proven to reflect the cell state more accurately, in comparison to genomic or transcriptomic studies. In this review, we discuss the proteomics studies applied to characterize the immune responses in cancer and tumor immune microenvironment heterogeneity. Further, we describe emerging single-cell proteomics approaches that have the potential to be applied in cancer immunity studies.
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Affiliation(s)
- Víctor Urbiola-Salvador
- Intercollegiate Faculty of Biotechnology of University of Gdańsk and Medical University of Gdańsk, University of Gdańsk, Poland.
| | - Dominika Miroszewska
- Intercollegiate Faculty of Biotechnology of University of Gdańsk and Medical University of Gdańsk, University of Gdańsk, Poland.
| | - Agnieszka Jabłońska
- Intercollegiate Faculty of Biotechnology of University of Gdańsk and Medical University of Gdańsk, University of Gdańsk, Poland.
| | - Talha Qureshi
- Faculty of Biochemistry and Molecular Medicine, University of Oulu, Oulu, Finland.
| | - Zhi Chen
- Intercollegiate Faculty of Biotechnology of University of Gdańsk and Medical University of Gdańsk, University of Gdańsk, Poland; Faculty of Biochemistry and Molecular Medicine, University of Oulu, Oulu, Finland.
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Ashby JF, Schmidt J, Kc N, Kurum A, Koch C, Harari A, Tang L, Au SH. Microfluidic T Cell Selection by Cellular Avidity. Adv Healthc Mater 2022; 11:e2200169. [PMID: 35657072 DOI: 10.1002/adhm.202200169] [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: 02/02/2022] [Revised: 04/24/2022] [Indexed: 01/24/2023]
Abstract
No T cell receptor (TCR) T cell therapies have obtained clinical approval. The lack of strategies capable of selecting and recovering potent T cell candidates may be a contributor to this. Existing protocols for selecting TCR T cell clones for cell therapies such as peptide multimer methods have provided effective measurements on TCR affinities. However, these methods lack the ability to measure the collective strength of intercellular interactions (i.e., cellular avidity) and markers of T cell activation such as immunological synapse formation. This study describes a novel microfluidic fluid shear stress-based approach to identify and recover highly potent T cell clones based on the cellular avidity between living T cells and tumor cells. This approach is capable of probing approximately up to 10 000 T cell-tumor cell interactions per run and can recover potent T cells with up to 100% purity from mixed populations of T cells within 30 min. Markers of cytotoxicity, activation, and avidity persist when recovered high cellular avidity T cells are subsequently exposed to fresh tumor cells. These results demonstrate how microfluidic probing of cellular avidity may fast track the therapeutic T cell selection process and move the authors closer to precision cancer immunotherapy.
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Affiliation(s)
- Julian F Ashby
- Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK
| | - Julien Schmidt
- Department of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, 1066, Switzerland
| | - Neelima Kc
- Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK
| | - Armand Kurum
- Institute of Materials Science and Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, 1015, Switzerland
| | - Caroline Koch
- Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK
| | - Alexandre Harari
- Department of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, 1066, Switzerland
| | - Li Tang
- Institute of Materials Science and Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, 1015, Switzerland
- Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, 1015, Switzerland
| | - Sam H Au
- Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK
- Cancer Research UK Convergence Science Centre, London, SW7 2AZ, UK
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Miwa H, Dimatteo R, de Rutte J, Ghosh R, Di Carlo D. Single-cell sorting based on secreted products for functionally defined cell therapies. MICROSYSTEMS & NANOENGINEERING 2022; 8:84. [PMID: 35874174 PMCID: PMC9303846 DOI: 10.1038/s41378-022-00422-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 05/18/2022] [Accepted: 06/13/2022] [Indexed: 05/13/2023]
Abstract
Cell therapies have emerged as a promising new class of "living" therapeutics over the last decade and have been particularly successful for treating hematological malignancies. Increasingly, cellular therapeutics are being developed with the aim of treating almost any disease, from solid tumors and autoimmune disorders to fibrosis, neurodegenerative disorders and even aging itself. However, their therapeutic potential has remained limited due to the fundamental differences in how molecular and cellular therapies function. While the structure of a molecular therapeutic is directly linked to biological function, cells with the same genetic blueprint can have vastly different functional properties (e.g., secretion, proliferation, cell killing, migration). Although there exists a vast array of analytical and preparative separation approaches for molecules, the functional differences among cells are exacerbated by a lack of functional potency-based sorting approaches. In this context, we describe the need for next-generation single-cell profiling microtechnologies that allow the direct evaluation and sorting of single cells based on functional properties, with a focus on secreted molecules, which are critical for the in vivo efficacy of current cell therapies. We first define three critical processes for single-cell secretion-based profiling technology: (1) partitioning individual cells into uniform compartments; (2) accumulating secretions and labeling via reporter molecules; and (3) measuring the signal associated with the reporter and, if sorting, triggering a sorting event based on these reporter signals. We summarize recent academic and commercial technologies for functional single-cell analysis in addition to sorting and industrial applications of these technologies. These approaches fall into three categories: microchamber, microfluidic droplet, and lab-on-a-particle technologies. Finally, we outline a number of unmet needs in terms of the discovery, design and manufacturing of cellular therapeutics and how the next generation of single-cell functional screening technologies could allow the realization of robust cellular therapeutics for all patients.
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Affiliation(s)
- Hiromi Miwa
- Department of Bioengineering, University of California - Los Angeles, Los Angeles, CA 90095 USA
| | - Robert Dimatteo
- Department of Chemical and Biomolecular Engineering, University of California - Los Angeles, Los Angeles, CA 90095 USA
| | - Joseph de Rutte
- Department of Bioengineering, University of California - Los Angeles, Los Angeles, CA 90095 USA
- Partillion Bioscience, Los Angeles, CA 90095 USA
| | - Rajesh Ghosh
- Department of Bioengineering, University of California - Los Angeles, Los Angeles, CA 90095 USA
| | - Dino Di Carlo
- Department of Bioengineering, University of California - Los Angeles, Los Angeles, CA 90095 USA
- Department of Mechanical and Aerospace Engineering, University of California - Los Angeles, Los Angeles, CA 90095 USA
- California NanoSystems Institute (CNSI), University of California - Los Angeles, Los Angeles, CA 90095 USA
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38
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Ng RH, Lee JW, Baloni P, Diener C, Heath JR, Su Y. Constraint-Based Reconstruction and Analyses of Metabolic Models: Open-Source Python Tools and Applications to Cancer. Front Oncol 2022; 12:914594. [PMID: 35875150 PMCID: PMC9303011 DOI: 10.3389/fonc.2022.914594] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 05/30/2022] [Indexed: 11/13/2022] Open
Abstract
The influence of metabolism on signaling, epigenetic markers, and transcription is highly complex yet important for understanding cancer physiology. Despite the development of high-resolution multi-omics technologies, it is difficult to infer metabolic activity from these indirect measurements. Fortunately, genome-scale metabolic models and constraint-based modeling provide a systems biology framework to investigate the metabolic states and define the genotype-phenotype associations by integrations of multi-omics data. Constraint-Based Reconstruction and Analysis (COBRA) methods are used to build and simulate metabolic networks using mathematical representations of biochemical reactions, gene-protein reaction associations, and physiological and biochemical constraints. These methods have led to advancements in metabolic reconstruction, network analysis, perturbation studies as well as prediction of metabolic state. Most computational tools for performing these analyses are written for MATLAB, a proprietary software. In order to increase accessibility and handle more complex datasets and models, community efforts have started to develop similar open-source tools in Python. To date there is a comprehensive set of tools in Python to perform various flux analyses and visualizations; however, there are still missing algorithms in some key areas. This review summarizes the availability of Python software for several components of COBRA methods and their applications in cancer metabolism. These tools are evolving rapidly and should offer a readily accessible, versatile way to model the intricacies of cancer metabolism for identifying cancer-specific metabolic features that constitute potential drug targets.
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Affiliation(s)
- Rachel H. Ng
- Institute for Systems Biology, Seattle, WA, United States
- Department of Bioengineering, University of Washington, Seattle, WA, United States
| | - Jihoon W. Lee
- Medical Scientist Training Program, University of Washington, Seattle, WA, United States
- Program in Immunology, Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | | | | | - James R. Heath
- Institute for Systems Biology, Seattle, WA, United States
- Department of Bioengineering, University of Washington, Seattle, WA, United States
| | - Yapeng Su
- Program in Immunology, Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
- Herbold Computational Biology Program, Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
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Abstract
This review discusses our understanding of platelet diversity with implications for the roles of platelets in hemostasis and thrombosis and identifies advanced technologies set to provide new insights. We use the term diversity to capture intrasubject platelet variability that can be intrinsic or governed by the environment and lead to a heterogeneous response pattern of aggregation, clot promotion, and external communication. Using choice examples, we discuss how the use of advanced technologies can provide new insights into the underlying causes of platelet molecular, structural, and functional diversity. As sources of diversity, we discuss the proliferating megakaryocytes with different allele-specific expression patterns, the asymmetrical formation of proplatelets, changes in platelets induced by aging and priming, interplatelet heterogeneity in thrombus organization and stability, and platelet-dependent communications. We provide indications how current knowledge gaps can be addressed using promising technologies, such as next-generation sequencing, proteomic approaches, advanced imaging techniques, multicolor flow and mass cytometry, multifunctional microfluidics assays, and organ-on-a-chip platforms. We then argue how this technology base can aid in characterizing platelet populations and in identifying platelet biomarkers relevant for the treatment of cardiovascular disease.
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Affiliation(s)
- Johan W M Heemskerk
- Department of Biochemistry, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, the Netherlands (J.W.M.H.)
| | - Jonathan West
- Faculty of Medicine and Centre for Hybrid Biodevices, University of Southampton, United Kingdom (J.W.)
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40
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Bridges K, Miller-Jensen K. Mapping and Validation of scRNA-Seq-Derived Cell-Cell Communication Networks in the Tumor Microenvironment. Front Immunol 2022; 13:885267. [PMID: 35572582 PMCID: PMC9096838 DOI: 10.3389/fimmu.2022.885267] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Accepted: 03/25/2022] [Indexed: 01/25/2023] Open
Abstract
Recent advances in single-cell technologies, particularly single-cell RNA-sequencing (scRNA-seq), have permitted high throughput transcriptional profiling of a wide variety of biological systems. As scRNA-seq supports inference of cell-cell communication, this technology has and continues to anchor groundbreaking studies into the efficacy and mechanism of novel immunotherapies for cancer treatment. In this review, we will highlight methods developed to infer inter- and intracellular signaling from scRNA-seq and discuss how they have contributed to studies of immunotherapeutic intervention in the tumor microenvironment (TME). However, a central challenge remains in validating the hypothesized cell-cell interactions. Therefore, this review will also cover strategies for integration of these scRNA-seq-derived interaction networks with existing experimental and computational approaches. Integration of these networks with imaging, protein secretion measurements, and network analysis and mathematical modeling tools addresses challenges that remain with scRNA-seq to enhance studies of immunosuppressive and immunotherapy-altered signaling in the TME.
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Affiliation(s)
- Kate Bridges
- Department of Biomedical Engineering, Yale University, New Haven, CT, United States
| | - Kathryn Miller-Jensen
- Department of Biomedical Engineering, Yale University, New Haven, CT, United States
- Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT, United States
- Systems Biology Institute, Yale University, New Haven, CT, United States
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Abstract
Over the years, the engineering aspect of nanotechnology has been significantly exploited. Medical intervention strategies have been developed by leveraging existing molecular biology knowledge and combining it with nanotechnology tools to improve outcomes. However, little attention has been paid to harnessing the strengths of nanotechnology as a biological discovery tool. Fundamental understanding of controlling dynamic biological processes at the subcellular level is key to developing personalized therapeutic and diagnostic interventions. Single-cell analyses using intravital microscopy, expansion microscopy, and microfluidic-based platforms have been helping to better understand cell heterogeneity in healthy and diseased cells, a major challenge in oncology. Also, single-cell analysis has revealed critical signaling pathways and biological intracellular components with key biological functions. The physical manipulation enabled by nanotools can allow real-time monitoring of biological changes at a single-cell level by sampling intracellular fluid from the same cell. The formation of intercellular highways by nanotube-like structures has important clinical implications such as metastasis development. The integration of nanomaterials into optical and molecular imaging techniques has rendered valuable morphological, structural, and biological information. Nanoscale imaging unravels mechanisms of temporality by enabling the visualization of nanoscale dynamics never observed or measured between individual cells with standard biological techniques. The exceptional sensitivity of nanozymes, artificial enzymes, make them perfect components of the next-generation mobile diagnostics devices. Here, we highlight these impactful cancer-related biological discoveries enabled by nanotechnology and producing a paradigm shift in cancer research and oncology.
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Affiliation(s)
- Carolina Salvador-Morales
- Nanodelivery Systems and Devices Branch, Cancer Imaging Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Rockville, Maryland 20850, United States
| | - Piotr Grodzinski
- Nanodelivery Systems and Devices Branch, Cancer Imaging Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Rockville, Maryland 20850, United States
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42
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Dimatteo R, Di Carlo D. IL-2 secretion-based sorting of single T cells using high-throughput microfluidic on-cell cytokine capture. LAB ON A CHIP 2022; 22:1576-1583. [PMID: 35293406 PMCID: PMC9013285 DOI: 10.1039/d1lc01098k] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Secreted proteins are critical for the coordination of potent immune defenses, such as in engineered T cell therapies, however, there are few widely accessible approaches to accurately analyze and sort large numbers of cells based on their secretory functions. We report a workflow for the rapid screening and sorting of single individual T cells based on IL-2 secretion accumulated at high concentrations in nanoliter droplets and encoded back onto the secreting cell's surface. In our method, droplets are used solely to partition cells, enabling rapid accumulation of signals onto cell surfaces, and eliminating diffusive crosstalk between neighbors. All downstream sorting leverages conventional high-throughput and readily accessible flow cytometry after the emulsion is disrupted. We achieve monodisperse droplet generation (CV < 10%) at flow rates up to 200 μL min-1 using step emulsification, enabling processing of entire libraries of cells within tens of minutes without significant secretion crosstalk. In comparison to our approach, strong mitogenic activation overwhelmed the conventional bulk on-cell cytokine assay, rendering labeled, non-activated cells indistinguishable from actively secreting neighbors within one hour. Processing of identical cell mixtures following droplet encapsulation yielded no apparent crosstalk even after three hours. Instead, IL-2 production spanning several orders of magnitude was observed from roughly 20% of analyzed activated lymphocytes, representing an at least 10-fold increase in dynamic range compared to unencapsulated cells. Secreting cells could also be sorted using fluorescence activated cell sorting (FACS). The approach can ultimately enable sorting of cells based on functional properties with higher accuracy in a more accessible format to life science researchers.
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Affiliation(s)
- Robert Dimatteo
- Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, 5531 Boelter Hall, P.O. Box 951592, Los Angeles, CA, 90095, USA
- Department of Bioengineering, University of California, Los Angeles, 420 Westwood Plaza, 5121 Engineering V, P.O. Box 951600, Los Angeles, CA 90095, USA.
| | - Dino Di Carlo
- Department of Bioengineering, University of California, Los Angeles, 420 Westwood Plaza, 5121 Engineering V, P.O. Box 951600, Los Angeles, CA 90095, USA.
- California Nano Systems Institute, 570 Westwood Plaza, Building 114, Los Angeles, CA 90095, USA
- Jonsson Comprehensive Cancer Center, Los Angeles, CA 90095, USA
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43
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Cruz Villarreal J, Kruithoff R, Egatz-Gomez A, Coleman PD, Ros R, Sandrin TR, Ros A. MIMAS: microfluidic platform in tandem with MALDI mass spectrometry for protein quantification from small cell ensembles. Anal Bioanal Chem 2022; 414:3945-3958. [PMID: 35385983 PMCID: PMC9188328 DOI: 10.1007/s00216-022-04038-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: 11/17/2021] [Revised: 03/17/2022] [Accepted: 03/22/2022] [Indexed: 11/26/2022]
Abstract
Understanding cell-to-cell variation at the molecular level provides relevant information about biological phenomena and is critical for clinical and biological research. Proteins carry important information not available from single-cell genomics and transcriptomics studies; however, due to the minute amount of proteins in single cells and the complexity of the proteome, quantitative protein analysis at the single-cell level remains challenging. Here, we report an integrated microfluidic platform in tandem with matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS) for the detection and quantification of targeted proteins from small cell ensembles (> 10 cells). All necessary steps for the assay are integrated on-chip including cell lysis, protein immunocapture, tryptic digestion, and co-crystallization with the matrix solution for MALDI-MS analysis. We demonstrate that our approach is suitable for protein quantification by assessing the apoptotic protein Bcl-2 released from MCF-7 breast cancer cells, ranging from 26 to 223 cells lysed on-chip (8.75 nL wells). A limit of detection (LOD) of 11.22 nM was determined, equivalent to 5.91 × 107 protein molecules per well. Additionally, the microfluidic platform design was further improved, establishing the successful quantification of Bcl-2 protein from MCF-7 cell ensembles ranging from 8 to 19 cells in 4 nL wells. The LOD in the smaller well designs for Bcl-2 resulted in 14.85 nM, equivalent to 3.57 × 107 protein molecules per well. This work shows the capability of our approach to quantitatively assess proteins from cell lysate on the MIMAS platform for the first time. These results demonstrate our approach constitutes a promising tool for quantitative targeted protein analysis from small cell ensembles down to single cells, with the capability for multiplexing through parallelization and automation.
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Affiliation(s)
- Jorvani Cruz Villarreal
- School of Molecular Sciences, Arizona State University, Temple, AZ, USA
- Center for Applied Structural Discovery, The Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Rory Kruithoff
- Department of Physics and Center for Biological Physics, Arizona State University, Tempe, AZ, USA
| | - Ana Egatz-Gomez
- School of Molecular Sciences, Arizona State University, Temple, AZ, USA
- Center for Applied Structural Discovery, The Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Paul D Coleman
- School of Life Sciences, Arizona State University, Temple, AZ, USA
- ASU-Banner Neurodegenerative Research Center, The Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Robert Ros
- Department of Physics and Center for Biological Physics, Arizona State University, Tempe, AZ, USA
- Center for Single Molecule Biophysics, The Biodesign Institute, Arizona State University, Temple, AZ, USA
| | - Todd R Sandrin
- School of Mathematical and Natural Sciences, Arizona State University, Phoenix, AZ, USA
- Julie Ann Wrigley Global Futures Laboratory, Arizona State University, Tempe, AZ, USA
| | - Alexandra Ros
- School of Molecular Sciences, Arizona State University, Temple, AZ, USA.
- Center for Applied Structural Discovery, The Biodesign Institute, Arizona State University, Tempe, AZ, USA.
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Wang C, Wang C, Wu Y, Gao J, Han Y, Chu Y, Qiang L, Qiu J, Gao Y, Wang Y, Song F, Wang Y, Shao X, Zhang Y, Han L. High-Throughput, Living Single-Cell, Multiple Secreted Biomarker Profiling Using Microfluidic Chip and Machine Learning for Tumor Cell Classification. Adv Healthc Mater 2022; 11:e2102800. [PMID: 35368151 DOI: 10.1002/adhm.202102800] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 03/02/2022] [Indexed: 11/09/2022]
Abstract
Secreted proteins provide abundant functional information on living cells and can be used as important tumor diagnostic markers, of which profiling at the single-cell level is helpful for accurate tumor cell classification. Currently, achieving living single-cell multi-index, high-sensitivity, and quantitative secretion biomarker profiling remains a great challenge. Here, a high-throughput living single-cell multi-index secreted biomarker profiling platform is proposed, combined with machine learning, to achieve accurate tumor cell classification. A single-cell culture microfluidic chip with self-assembled graphene oxide quantum dots (GOQDs) enables high-activity single-cell culture, ensuring normal secretion of biomarkers and high-throughput single-cell separation, providing sufficient statistical data for machine learning. At the same time, the antibody barcode chip with self-assembled GOQDs performs multi-index, highly sensitive, and quantitative detection of secreted biomarkers, in which each cell culture chamber covers a whole barcode array. Importantly, by combining the K-means strategy with machine learning, thousands of single tumor cell secretion data are analyzed, enabling tumor cell classification with a recognition accuracy of 95.0%. In addition, further profiling of the grouping results reveals the unique secretion characteristics of subgroups. This work provides an intelligent platform for high-throughput living single-cell multiple secretion biomarker profiling, which has broad implications for cancer investigation and biomedical research.
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Affiliation(s)
- Chao Wang
- Institute of Marine Science and Technology Shandong University Tsingdao 266237 China
| | - Chunhua Wang
- Institute of Marine Science and Technology Shandong University Tsingdao 266237 China
| | - Yu Wu
- Obstetrics and Gynecology Department Peking University Third Hospital Beijing 100191 China
| | - Jianwei Gao
- Institute of Marine Science and Technology Shandong University Tsingdao 266237 China
| | - Yingkuan Han
- Institute of Marine Science and Technology Shandong University Tsingdao 266237 China
| | - Yujin Chu
- Institute of Marine Science and Technology Shandong University Tsingdao 266237 China
| | - Le Qiang
- Institute of Marine Science and Technology Shandong University Tsingdao 266237 China
| | - Jiaoyan Qiu
- Institute of Marine Science and Technology Shandong University Tsingdao 266237 China
| | - Yakun Gao
- Institute of Marine Science and Technology Shandong University Tsingdao 266237 China
| | - Yanhao Wang
- Institute of Marine Science and Technology Shandong University Tsingdao 266237 China
| | - Fangteng Song
- Institute of Marine Science and Technology Shandong University Tsingdao 266237 China
| | - Yihe Wang
- Institute of Marine Science and Technology Shandong University Tsingdao 266237 China
| | - Xiaowei Shao
- Institute of Marine Science and Technology Shandong University Tsingdao 266237 China
| | - Yu Zhang
- Institute of Marine Science and Technology Shandong University Tsingdao 266237 China
| | - Lin Han
- Institute of Marine Science and Technology Shandong University Tsingdao 266237 China
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45
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Xie H, Ding X. The Intriguing Landscape of Single-Cell Protein Analysis. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2105932. [PMID: 35199955 PMCID: PMC9036017 DOI: 10.1002/advs.202105932] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 01/27/2022] [Indexed: 05/15/2023]
Abstract
Profiling protein expression at single-cell resolution is essential for fundamental biological research (such as cell differentiation and tumor microenvironmental examination) and clinical precision medicine where only a limited number of primary cells are permitted. With the recent advances in engineering, chemistry, and biology, single-cell protein analysis methods are developed rapidly, which enable high-throughput and multiplexed protein measurements in thousands of individual cells. In combination with single cell RNA sequencing and mass spectrometry, single-cell multi-omics analysis can simultaneously measure multiple modalities including mRNAs, proteins, and metabolites in single cells, and obtain a more comprehensive exploration of cellular signaling processes, such as DNA modifications, chromatin accessibility, protein abundance, and gene perturbation. Here, the recent progress and applications of single-cell protein analysis technologies in the last decade are summarized. Current limitations, challenges, and possible future directions in this field are also discussed.
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Affiliation(s)
- Haiyang Xie
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
| | - Xianting Ding
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
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Preclinical Evaluation of CAR T Cell Function: In Vitro and In Vivo Models. Int J Mol Sci 2022; 23:ijms23063154. [PMID: 35328572 PMCID: PMC8955360 DOI: 10.3390/ijms23063154] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 03/11/2022] [Accepted: 03/11/2022] [Indexed: 01/12/2023] Open
Abstract
Immunotherapy using chimeric antigen receptor (CAR) T cells is a rapidly emerging modality that engineers T cells to redirect tumor-specific cytotoxicity. CAR T cells have been well characterized for their efficacy against B cell malignancies, and rigorously studied in other types of tumors. Preclinical evaluation of CAR T cell function, including direct tumor killing, cytokine production, and memory responses, is crucial to the development and optimization of CAR T cell therapies. Such comprehensive examinations are usually performed in different types of models. Model establishment should focus on key challenges in the clinical setting and the capability to generate reliable data to indicate CAR T cell therapeutic potency in the clinic. Further, modeling the interaction between CAR T cells and tumor microenvironment provides additional insight for the future endeavors to enhance efficacy, especially against solid tumors. This review will summarize both in vitro and in vivo models for CAR T cell functional evaluation, including how they have evolved with the needs of CAR T cell research, the information they can provide for preclinical assessment of CAR T cell products, and recent technology advances to test CAR T cells in more clinically relevant models.
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Acharjee A, Stephen Kingsly J, Kamat M, Kurlawala V, Chakraborty A, Vyas P, Vaishnav R, Srivastava S. Rise of the SARS-CoV-2 Variants: can proteomics be the silver bullet? Expert Rev Proteomics 2022; 19:197-212. [PMID: 35655386 DOI: 10.1080/14789450.2022.2085564] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
INTRODUCTION The challenges posed by emergent strains of SARS-CoV-2 need to be tackled by contemporary scientific approaches, with proteomics playing a significant role. AREAS COVERED In this review, we provide a brief synthesis of the impact of proteomics technologies in elucidating disease pathogenesis and classifiers for the prognosis of COVID-19 and propose proteomics methodologies that could play a crucial role in understanding emerging variants and their altered disease pathology. From aiding the design of novel drug candidates to facilitating the identification of T cell vaccine targets, we have discussed the impact of proteomics methods in COVID-19 research. Techniques varied as mass spectrometry, single-cell proteomics, multiplexed ELISA arrays, high-density proteome arrays, surface plasmon resonance, immunopeptidomics, and in silico docking studies that have helped augment the fight against existing diseases were useful in preparing us to tackle SARS-CoV-2 variants. We also propose an action plan for a pipeline to combat emerging pandemics using proteomics technology by adopting uniform standard operating procedures and unified data analysis paradigms. EXPERT OPINION The knowledge about the use of diverse proteomics approaches for COVID-19 investigation will provide a framework for future basic research, better infectious disease prevention strategies, improved diagnostics, and targeted therapeutics.
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Affiliation(s)
- Arup Acharjee
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India
| | | | - Madhura Kamat
- Department of Biological Sciences, Sunandan Divatia School of Science, SVKM's NMIMS (Deemed-to-be University), Mumbai, India
| | - Vishakha Kurlawala
- Department of Biological Sciences, Sunandan Divatia School of Science, SVKM's NMIMS (Deemed-to-be University), Mumbai, India
| | | | - Priyanka Vyas
- Department of Biotechnology and Botany, Mahila PG Mahavidyalaya, J. N. V University, Jodhpur, India
| | - Radhika Vaishnav
- Department of Life Sciences, Ivy Tech Community College, Indianapolis, Indiana, USA
| | - Sanjeeva Srivastava
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India
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Fedi A, Vitale C, Giannoni P, Caluori G, Marrella A. Biosensors to Monitor Cell Activity in 3D Hydrogel-Based Tissue Models. SENSORS (BASEL, SWITZERLAND) 2022; 22:1517. [PMID: 35214418 PMCID: PMC8879987 DOI: 10.3390/s22041517] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 02/06/2022] [Accepted: 02/09/2022] [Indexed: 12/13/2022]
Abstract
Three-dimensional (3D) culture models have gained relevant interest in tissue engineering and drug discovery owing to their suitability to reproduce in vitro some key aspects of human tissues and to provide predictive information for in vivo tests. In this context, the use of hydrogels as artificial extracellular matrices is of paramount relevance, since they allow closer recapitulation of (patho)physiological features of human tissues. However, most of the analyses aimed at characterizing these models are based on time-consuming and endpoint assays, which can provide only static and limited data on cellular behavior. On the other hand, biosensing systems could be adopted to measure on-line cellular activity, as currently performed in bi-dimensional, i.e., monolayer, cell culture systems; however, their translation and integration within 3D hydrogel-based systems is not straight forward, due to the geometry and materials properties of these advanced cell culturing approaches. Therefore, researchers have adopted different strategies, through the development of biochemical, electrochemical and optical sensors, but challenges still remain in employing these devices. In this review, after examining recent advances in adapting existing biosensors from traditional cell monolayers to polymeric 3D cells cultures, we will focus on novel designs and outcomes of a range of biosensors specifically developed to provide real-time analysis of hydrogel-based cultures.
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Affiliation(s)
- Arianna Fedi
- National Research Council of Italy, Institute of Electronics, Computer and Telecommunication Engineering (IEIIT), 16149 Genoa, Italy; (A.F.); (C.V.)
- Department of Computer Science, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genoa, 16126 Genoa, Italy
| | - Chiara Vitale
- National Research Council of Italy, Institute of Electronics, Computer and Telecommunication Engineering (IEIIT), 16149 Genoa, Italy; (A.F.); (C.V.)
- Department of Experimental Medicine (DIMES), University of Genoa, 16132 Genoa, Italy;
| | - Paolo Giannoni
- Department of Experimental Medicine (DIMES), University of Genoa, 16132 Genoa, Italy;
| | - Guido Caluori
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, 33600 Pessac, France;
- INSERM UMR 1045, Cardiothoracic Research Center of Bordeaux, University of Bordeaux, 33600 Pessac, France
| | - Alessandra Marrella
- National Research Council of Italy, Institute of Electronics, Computer and Telecommunication Engineering (IEIIT), 16149 Genoa, Italy; (A.F.); (C.V.)
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Waghchoure AP, Reddy JP, Bhosale RS. Fluorescence based miniaturized microfluidic and nanofluidic systems for biomedical applications. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2022; 186:217-243. [PMID: 35033286 DOI: 10.1016/bs.pmbts.2021.07.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Over the last two decades miniaturized microfluidic and nanofluidic systems with fluorescence setup emerged as a powerful technological platform for diverse biomedical applications. Bio-macromolecules such as nucleic acids and proteins are the core cellular components, their single molecule analysis allow us to understand biological processes, disease creation and progression, and development of novel treatment policies. Design and development of foolproof treatment methods requires rigorously analysis of nucleic acids and proteins such as length quantifications, sequence profiling, sequence mapping, analysis of conformational changes, analysis and recognition of epigenetic changes, and their interactions with other biomolecules. Miniaturized microfluidic and nanofluidic systems with fluorescence spectroscopy enable worldwide researchers to perform nucleic acids and proteins extractions and single molecule analysis from the trace amount of biological samples. In the present chapter we mostly highlighted over one decade applications of microfluidic and nanofluidic systems for single cell micro ribonucleic acid (miRNA) isolation and detection, deoxyribonucleic acid (DNA) mapping, DNA barcoding, identification of epigenetic mark on single DNA molecule, DNA-protein interactions study, protein sensing, protein sequencing, protein binding kinetics and many other applications. We also presented the recently reported microfluidic platform for the preparation of reproducible unisize aggregation induced emission (AIE) active nanomaterials and their biological applications.
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Affiliation(s)
| | - J Prakasha Reddy
- Department of Chemistry, Indrashil University, Rajpur, Mehsana, Gujarat, India.
| | - Rajesh S Bhosale
- Department of Chemistry, Indrashil University, Rajpur, Mehsana, Gujarat, India.
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Friedman CF, Spencer C, Cabanski CR, Panageas KS, Wells DK, Ribas A, Tawbi H, Tsai K, Postow M, Shoushtari A, Chapman P, Karakunnel J, Bucktrout S, Gherardini P, Hollmann TJ, Chen RO, Callahan M, LaVallee T, Ibrahim R, Wolchok J. Ipilimumab alone or in combination with nivolumab in patients with advanced melanoma who have progressed or relapsed on PD-1 blockade: clinical outcomes and translational biomarker analyses. J Immunother Cancer 2022; 10:e003853. [PMID: 35074903 PMCID: PMC8788323 DOI: 10.1136/jitc-2021-003853] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/04/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND There are no validated biomarkers that can aid clinicians in selecting who would best benefit from anticytotoxic T lymphocyte-associated antigen 4 monotherapy versus combination checkpoint blockade in patients with advanced melanoma who have progressive disease after programmed death 1 (PD-1) blockade. METHODS We conducted a randomized multicenter phase II trial in patients with advanced melanoma. Patients were randomly assigned to receive either 1 mg/kg of nivolumab plus 3 mg/kg of ipilimumab or 3 mg/kg of ipilimumab every 3 weeks for up to four doses. Patients were stratified by histological subtype and prior response to PD-1 therapy. The primary clinical objective was overall response rate by week 18. Translational biomarker analyses were conducted in patients with blood and tissue samples. RESULTS Objective responses were seen in 5 of 9 patients in the ipilimumab arm and 2 of 10 patients in the ipilimumab+nivolumab arm; disease control rates (DCRs) (66.7% vs 60.0%) and rates of grade 3-4 adverse events (56% vs 50%) were comparable between arms. In a pooled analysis, patients with clinical benefit (CB), defined as Response Evaluation Criteria in Solid Tumors response or progression-free for 6 months, showed increased circulating CD4+ T cells with higher polyfunctionality and interferon gamma production following treatment. Tumor profiling revealed enrichment of NRAS mutations and activation of transcriptional programs associated with innate and adaptive immunity in patients with CB. CONCLUSIONS In patients with advanced melanoma that previously progressed on PD-1 blockade, objective responses were seen in both arms, with comparable DCRs. Findings from biomarker analyses provided hypothesis-generating signals for validation in future studies of larger patient cohorts. TRIAL REGISTRATION NUMBER NCT02731729.
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Affiliation(s)
- Claire F Friedman
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Department of Medicine, Weill Cornell Medicine, New York, New York, USA
| | - Christine Spencer
- Parker Institute for Cancer Immunotherapy, San Francisco, California, USA
| | | | - Katherine S Panageas
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Daniel K Wells
- Parker Institute for Cancer Immunotherapy, San Francisco, California, USA
| | - Antoni Ribas
- Department of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Hussein Tawbi
- Department of Medicine, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Katy Tsai
- Department of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Michael Postow
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Department of Medicine, Weill Cornell Medicine, New York, New York, USA
| | - Alexander Shoushtari
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Department of Medicine, Weill Cornell Medicine, New York, New York, USA
| | - Paul Chapman
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Department of Medicine, Weill Cornell Medicine, New York, New York, USA
| | - Joyson Karakunnel
- Parker Institute for Cancer Immunotherapy, San Francisco, California, USA
| | - Samantha Bucktrout
- Parker Institute for Cancer Immunotherapy, San Francisco, California, USA
| | - Pier Gherardini
- Parker Institute for Cancer Immunotherapy, San Francisco, California, USA
| | - Travis J Hollmann
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | | | - Margaret Callahan
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Department of Medicine, Weill Cornell Medicine, New York, New York, USA
| | - Theresa LaVallee
- Parker Institute for Cancer Immunotherapy, San Francisco, California, USA
| | - Ramy Ibrahim
- Parker Institute for Cancer Immunotherapy, San Francisco, California, USA
| | - Jedd Wolchok
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Department of Medicine, Weill Cornell Medicine, New York, New York, USA
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