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Li X, Zhu H, Gu B, Yao C, Gu Y, Xu W, Zhang J, He J, Liu X, Li D. Advancing Intelligent Organ-on-a-Chip Systems with Comprehensive In Situ Bioanalysis. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2305268. [PMID: 37688520 DOI: 10.1002/adma.202305268] [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: 06/02/2023] [Revised: 08/03/2023] [Indexed: 09/11/2023]
Abstract
In vitro models are essential to a broad range of biomedical research, such as pathological studies, drug development, and personalized medicine. As a potentially transformative paradigm for 3D in vitro models, organ-on-a-chip (OOC) technology has been extensively developed to recapitulate sophisticated architectures and dynamic microenvironments of human organs by applying the principles of life sciences and leveraging micro- and nanoscale engineering capabilities. A pivotal function of OOC devices is to support multifaceted and timely characterization of cultured cells and their microenvironments. However, in-depth analysis of OOC models typically requires biomedical assay procedures that are labor-intensive and interruptive. Herein, the latest advances toward intelligent OOC (iOOC) systems, where sensors integrated with OOC devices continuously report cellular and microenvironmental information for comprehensive in situ bioanalysis, are examined. It is proposed that the multimodal data in iOOC systems can support closed-loop control of the in vitro models and offer holistic biomedical insights for diverse applications. Essential techniques for establishing iOOC systems are surveyed, encompassing in situ sensing, data processing, and dynamic modulation. Eventually, the future development of iOOC systems featuring cross-disciplinary strategies is discussed.
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Affiliation(s)
- Xiao Li
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
- NMPA Key Laboratory for Research and Evaluation of Additive Manufacturing Medical Devices, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Hui Zhu
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
- NMPA Key Laboratory for Research and Evaluation of Additive Manufacturing Medical Devices, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Bingsong Gu
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
- NMPA Key Laboratory for Research and Evaluation of Additive Manufacturing Medical Devices, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Cong Yao
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
- NMPA Key Laboratory for Research and Evaluation of Additive Manufacturing Medical Devices, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Yuyang Gu
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
- NMPA Key Laboratory for Research and Evaluation of Additive Manufacturing Medical Devices, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Wangkai Xu
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
- NMPA Key Laboratory for Research and Evaluation of Additive Manufacturing Medical Devices, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Jia Zhang
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
- NMPA Key Laboratory for Research and Evaluation of Additive Manufacturing Medical Devices, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Jiankang He
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
- NMPA Key Laboratory for Research and Evaluation of Additive Manufacturing Medical Devices, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Xinyu Liu
- Department of Mechanical & Industrial Engineering, University of Toronto, Toronto, M5S 3G8, Canada
| | - Dichen Li
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
- NMPA Key Laboratory for Research and Evaluation of Additive Manufacturing Medical Devices, Xi'an Jiaotong University, Xi'an, 710049, China
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Isola JVV, Ocañas SR, Hubbart CR, Ko S, Mondal SA, Hense JD, Carter HNC, Schneider A, Kovats S, Alberola-Ila J, Freeman WM, Stout MB. A single-cell atlas of the aging mouse ovary. NATURE AGING 2024; 4:145-162. [PMID: 38200272 PMCID: PMC10798902 DOI: 10.1038/s43587-023-00552-5] [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: 05/12/2023] [Accepted: 12/01/2023] [Indexed: 01/12/2024]
Abstract
Ovarian aging leads to diminished fertility, dysregulated endocrine signaling and increased chronic disease burden. These effects begin to emerge long before follicular exhaustion. Female humans experience a sharp decline in fertility around 35 years of age, which corresponds to declines in oocyte quality. Despite a growing body of work, the field lacks a comprehensive cellular map of the transcriptomic changes in the aging mouse ovary to identify early drivers of ovarian decline. To fill this gap we performed single-cell RNA sequencing on ovarian tissue from young (3-month-old) and reproductively aged (9-month-old) mice. Our analysis revealed a doubling of immune cells in the aged ovary, with lymphocyte proportions increasing the most, which was confirmed by flow cytometry. We also found an age-related downregulation of collagenase pathways in stromal fibroblasts, which corresponds to rises in ovarian fibrosis. Follicular cells displayed stress-response, immunogenic and fibrotic signaling pathway inductions with aging. This report provides critical insights into mechanisms responsible for ovarian aging phenotypes. The data can be explored interactively via a Shiny-based web application.
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Affiliation(s)
- José V V Isola
- Aging & Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Sarah R Ocañas
- Genes & Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
- Neuroscience Department, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Physiology Department, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma City Veterans Affairs Medical Center, Oklahoma City, OK, USA
| | - Chase R Hubbart
- Aging & Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Sunghwan Ko
- Genes & Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
- Neuroscience Department, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Samim Ali Mondal
- Aging & Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Jessica D Hense
- Aging & Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
- Nutrition College, Federal University of Pelotas, Pelotas, Brazil
| | - Hannah N C Carter
- Arthritis & Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | | | - Susan Kovats
- Arthritis & Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - José Alberola-Ila
- Arthritis & Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Willard M Freeman
- Genes & Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
- Oklahoma City Veterans Affairs Medical Center, Oklahoma City, OK, USA
| | - Michael B Stout
- Aging & Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA.
- Oklahoma City Veterans Affairs Medical Center, Oklahoma City, OK, USA.
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3
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Holland LA, Casto-Boggess LD. Gels in Microscale Electrophoresis. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2023; 16:161-179. [PMID: 37314879 DOI: 10.1146/annurev-anchem-091522-080207] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Gel matrices are fundamental to electrophoresis analyses of biopolymers in microscale channels. Both capillary gel and microchannel gel electrophoresis systems have produced fundamental advances in the scientific community. These analytical techniques remain as foundational tools in bioanalytical chemistry and are indispensable in the field of biotherapeutics. This review summarizes the current state of gels in microscale channels and provides a brief description of electrophoretic transport in gels. In addition to the discussion of traditional polymers, several nontraditional gels are introduced. Advances in gel matrices highlighted include selective polymers modified to contain added functionality as well as thermally responsive gels formed through self-assembly. This review discusses cutting-edge applications to challenging areas of discovery in DNA, RNA, protein, and glycan analyses. Finally, emerging techniques that result in multifunctional assays for real-time biochemical processing in capillary and three-dimensional channels are identified.
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Affiliation(s)
- Lisa A Holland
- C. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, West Virginia, USA;
| | - Laura D Casto-Boggess
- C. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, West Virginia, USA;
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Lomeli G, Bosse M, Bendall SC, Angelo M, Herr AE. Multiplexed Ion Beam Imaging Readout of Single-Cell Immunoblotting. Anal Chem 2021; 93:8517-8525. [PMID: 34106685 PMCID: PMC8499019 DOI: 10.1021/acs.analchem.1c01050] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Improvements in single-cell protein analysis are required to study the cell-to-cell variation inherent to diseases, including cancer. Single-cell immunoblotting (scIB) offers proteoform detection specificity, but often relies on fluorescence-based readout and is therefore limited in multiplexing capability. Among rising multiplexed imaging methods is multiplexed ion beam imaging by time-of-flight (MIBI-TOF), a mass spectrometry imaging technology. MIBI-TOF employs metal-tagged antibodies that do not suffer from spectral overlap to the same degree as fluorophore-tagged antibodies. We report for the first-time MIBI-TOF of single-cell immunoblotting (scIB-MIBI-TOF). The scIB assay subjects single-cell lysate to protein immunoblotting on a microscale device consisting of a 50- to 75-μm thick hydrated polyacrylamide (PA) gel matrix for protein immobilization prior to in-gel immunoprobing. We confirm antibody-protein binding in the PA gel with indirect fluorescence readout of metal-tagged antibodies. Since MIBI-TOF is a layer-by-layer imaging technique, and our protein target is immobilized within a 3D PA gel layer, we characterize the protein distribution throughout the PA gel depth by fluorescence confocal microscopy and confirm that the highest signal-to-noise ratio is achieved by imaging the entirety of the PA gel depth. Accordingly, we report the required MIBI-TOF ion dose strength needed to image varying PA gel depths. Lastly, by imaging ∼42% of PA gel depth with MIBI-TOF, we detect two isoelectrically separated TurboGFP (tGFP) proteoforms from individual glioblastoma cells, demonstrating that highly multiplexed mass spectrometry-based readout is compatible with scIB.
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Affiliation(s)
| | - Marc Bosse
- Department of Pathology, Stanford University, Stanford, California 94025, United States
| | - Sean C Bendall
- Department of Pathology, Stanford University, Stanford, California 94025, United States
| | - Michael Angelo
- Department of Pathology, Stanford University, Stanford, California 94025, United States
| | - Amy E Herr
- Chan Zuckerberg Biohub, San Francisco, California 94158, United States
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Rosàs-Canyelles E, Modzelewski AJ, Gomez Martinez AE, Geldert A, Gopal A, He L, Herr AE. Multimodal detection of protein isoforms and nucleic acids from low starting cell numbers. LAB ON A CHIP 2021; 21:2427-2436. [PMID: 33978041 PMCID: PMC8206029 DOI: 10.1039/d1lc00073j] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Protein isoforms play a key role in disease progression and arise from mechanisms involving multiple molecular subtypes, including DNA, mRNA and protein. Recently introduced multimodal assays successfully link genomes and transcriptomes to protein expression landscapes. However, the specificity of the protein measurement relies on antibodies alone, leading to major challenges when measuring different isoforms of the same protein. Here we utilize microfluidic design to perform same-cell profiling of DNA, mRNA and protein isoforms (triBlot) on low starting cell numbers (1-100 s of cells). After fractionation lysis, cytoplasmic proteins are resolved by molecular mass during polyacrylamide gel electrophoresis (PAGE), adding a degree of specificity to the protein measurement, while nuclei are excised from the device in sections termed "gel pallets" for subsequent off-chip nucleic acid analysis. By assaying TurboGFP-transduced glioblastoma cells, we observe a strong correlation between protein expression prior to lysis and immunoprobed protein. We measure both mRNA and DNA from retrieved nuclei, and find that mRNA levels correlate with protein abundance in TurboGFP-expressing cells. Furthermore, we detect the presence of TurboGFP isoforms differing by an estimated <1 kDa in molecular mass, demonstrating the ability to discern different proteoforms with the same antibody probe. By directly relating nucleic acid modifications to protein isoform expression in 1-100 s of cells, the triBlot assay holds potential as a screening tool for novel biomarkers in diseases driven by protein isoform expression.
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Affiliation(s)
- Elisabet Rosàs-Canyelles
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA. and The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley, CA 94720, USA
| | - Andrew J Modzelewski
- Division of Cellular and Developmental Biology, Department of Molecular & Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Ana E Gomez Martinez
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA. and The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley, CA 94720, USA
| | - Alisha Geldert
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA. and The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley, CA 94720, USA
| | - Anjali Gopal
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA. and The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley, CA 94720, USA
| | - Lin He
- Division of Cellular and Developmental Biology, Department of Molecular & Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Amy E Herr
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA. and The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley, CA 94720, USA and Chan Zuckerberg Biohub, 499 Illinois St, San Francisco, CA 94158, USA
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Li S, Wen Z, Ghalandari B, Zhou T, Warden AR, Zhang T, Dai P, Yu Y, Guo W, Liu M, Xie H, Ding X. Single-Cell Immunoblotting based on a Photoclick Hydrogel Enables High-Throughput Screening and Accurate Profiling of Exogenous Gene Expression. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2021; 33:e2101108. [PMID: 33899289 DOI: 10.1002/adma.202101108] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 03/01/2021] [Indexed: 06/12/2023]
Abstract
Fast and accurate profiling of exogenous gene expression in host cells is crucial for studying gene function in cellular and molecular biology, but still faces the challenge of incomplete co-expression of reporter genes and target genes. Here, a single-cell transfection analysis chip (scTAC) is presented, which is based on the in situ microchip immunoblotting method, for rapid and accurate analysis of exogenous gene expression in thousands of individual host cells. scTAC not only can assign information of exogenous gene activity to specific transfected cells, but enables the acquisition of continuous protein expression even in low co-expression scenarios. It is demonstrated that scTAC can reveal the relationship of expression level between reporter genes and target genes, which is helpful for evaluating transient transfection strategy efficiency. The advantages of this method for the study of fusion protein expression and downstream protein expression in signaling pathway in rare cells are shown. Empirically, an EGFP-TSPAN8 fusion plasmid is transfected into MCF-7 breast cancer cells and the expressions of two cancer stemness biomarkers (ALDHA1 and SOX2) are analyzed. The scTAC method clearly reveals an interesting phenomenon that transfected adherent MCF-7 cells exhibit some stem cell characteristics, but they do not have stem cell appearance.
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Affiliation(s)
- Shanhe Li
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Ze Wen
- State Key Laboratory of Molecular Biology, State Key Laboratory of Cell Biology, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China
| | - Behafarid Ghalandari
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Tianhao Zhou
- Department of Oncology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China
| | - Antony R Warden
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Ting Zhang
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Peng Dai
- Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Youyi Yu
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Wenke Guo
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Mofang Liu
- State Key Laboratory of Molecular Biology, State Key Laboratory of Cell Biology, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China
| | - Haiyang Xie
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Xianting Ding
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China
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7
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Tavassoli H, Rorimpandey P, Kang YC, Carnell M, Brownlee C, Pimanda JE, Chan PPY, Chandrakanthan V. Label-Free Isolation and Single Cell Biophysical Phenotyping Analysis of Primary Cardiomyocytes Using Inertial Microfluidics. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2021; 17:e2006176. [PMID: 33369875 DOI: 10.1002/smll.202006176] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Revised: 11/23/2020] [Indexed: 06/12/2023]
Abstract
To advance the understanding of cardiomyocyte (CM) identity and function, appropriate tools to isolate pure primary CMs are needed. A label-free method to purify viable CMs from mouse neonatal hearts is developed using a simple particle size-based inertial microfluidics biochip achieving purities of over 90%. Purified CMs are viable and retained their identity and function as depicted by the expression of cardiac-specific markers and contractility. The physico-mechanical properties of sorted cells are evaluated using downstream real-time deformability cytometry. CMs exhibited different physico-mechanical properties when compared with non-CMs. Taken together, this CM isolation and phenotyping method could serve as a valuable tool to progress the understanding of CM identity and function, and ultimately benefit cell therapy and diagnostic applications.
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Affiliation(s)
- Hossein Tavassoli
- Department of Telecommunications, Electrical, Robotics and Biomedical Engineering, Swinburne University of Technology, Hawthorn, Victoria, 3122, Australia
- Department of Pathology, School of Medical Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
- Adult Cancer Program, Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Prunella Rorimpandey
- Department of Pathology, School of Medical Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
- Adult Cancer Program, Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Young Chan Kang
- Department of Pathology, School of Medical Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
- Adult Cancer Program, Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Michael Carnell
- Biomedical Imaging Facility, Mark Wainwright Analytical Centre, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Chris Brownlee
- Flow Cytometry Facility, Mark Wainwright Analytical Centre, University of New South Wales, Sydney, NSW, 2052, Australia
| | - John E Pimanda
- Department of Pathology, School of Medical Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
- Adult Cancer Program, Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW, 2052, Australia
- Prince of Wales Clinical School, University of New South Wales, Sydney, NSW, 2052, Australia
- Department of Haematology, Prince of Wales Hospital, Sydney, NSW, 2052, Australia
| | - Peggy P Y Chan
- Department of Telecommunications, Electrical, Robotics and Biomedical Engineering, Swinburne University of Technology, Hawthorn, Victoria, 3122, Australia
| | - Vashe Chandrakanthan
- Department of Pathology, School of Medical Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
- Adult Cancer Program, Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW, 2052, Australia
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Grist SM, Mourdoukoutas AP, Herr AE. 3D projection electrophoresis for single-cell immunoblotting. Nat Commun 2020; 11:6237. [PMID: 33277486 PMCID: PMC7718224 DOI: 10.1038/s41467-020-19738-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Accepted: 10/20/2020] [Indexed: 12/21/2022] Open
Abstract
Immunoassays and mass spectrometry are powerful single-cell protein analysis tools; however, interfacing and throughput bottlenecks remain. Here, we introduce three-dimensional single-cell immunoblots to detect both cytosolic and nuclear proteins. The 3D microfluidic device is a photoactive polyacrylamide gel with a microwell array-patterned face (xy) for cell isolation and lysis. Single-cell lysate in each microwell is "electrophoretically projected" into the 3rd dimension (z-axis), separated by size, and photo-captured in the gel for immunoprobing and confocal/light-sheet imaging. Design and analysis are informed by the physics of 3D diffusion. Electrophoresis throughput is > 2.5 cells/s (70× faster than published serial sampling), with 25 immunoblots/mm2 device area (>10× increase over previous immunoblots). The 3D microdevice design synchronizes analyses of hundreds of cells, compared to status quo serial analyses that impart hours-long delay between the first and last cells. Here, we introduce projection electrophoresis to augment the heavily genomic and transcriptomic single-cell atlases with protein-level profiling.
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Affiliation(s)
- Samantha M Grist
- Department of Bioengineering, University of California, Berkeley, USA
| | - Andoni P Mourdoukoutas
- Department of Bioengineering, University of California, Berkeley, USA
- UC Berkeley - UCSF Graduate Program in Bioengineering, Berkeley, USA
| | - Amy E Herr
- Department of Bioengineering, University of California, Berkeley, USA.
- UC Berkeley - UCSF Graduate Program in Bioengineering, Berkeley, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, USA.
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