101
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Viola JM, Porter CM, Gupta A, Alibekova M, Prahl LS, Hughes AJ. Guiding Cell Network Assembly using Shape-Morphing Hydrogels. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2020; 32:e2002195. [PMID: 32578300 PMCID: PMC7950730 DOI: 10.1002/adma.202002195] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 04/30/2020] [Indexed: 05/11/2023]
Abstract
Forces and relative movement between cells and extracellular matrix (ECM) are crucial to the self-organization of tissues during development. However, the spatial range over which these dynamics can be controlled in engineering approaches is limited, impeding progress toward the construction of large, structurally mature tissues. Herein, shape-morphing materials called "kinomorphs" that rationally control the shape and size of multicellular networks are described. Kinomorphs are sheets of ECM that change their shape, size, and density depending on patterns of cell contractility within them. It is shown that these changes can manipulate structure-forming behaviors of epithelial cells in many spatial locations at once. Kinomorphs are built using a new photolithographic technology to pattern single cells into ECM sheets that are >10× larger than previously described. These patterns are designed to partially mimic the branch geometry of the embryonic kidney epithelial network. Origami-inspired simulations are then used to predict changes in kinomorph shapes. Last, kinomorph dynamics are shown to provide a centimeter-scale program that sets specific spatial locations in which ≈50 µm-diameter epithelial tubules form by cell coalescence and structural maturation. The kinomorphs may significantly advance organ-scale tissue construction by extending the spatial range of cell self-organization in emerging model systems such as organoids.
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Affiliation(s)
- John M Viola
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Catherine M Porter
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Ananya Gupta
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Mariia Alibekova
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Louis S Prahl
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Alex J Hughes
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
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102
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Islam M, Chen B, Spraggins JM, Kelly RT, Lau KS. Use of Single-Cell -Omic Technologies to Study the Gastrointestinal Tract and Diseases, From Single Cell Identities to Patient Features. Gastroenterology 2020; 159:453-466.e1. [PMID: 32417404 PMCID: PMC7484006 DOI: 10.1053/j.gastro.2020.04.073] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2019] [Revised: 02/29/2020] [Accepted: 04/04/2020] [Indexed: 02/07/2023]
Abstract
Single cells are the building blocks of tissue systems that determine organ phenotypes, behaviors, and functions. Understanding the differences between cell types and their activities might provide us with insights into normal tissue physiology, development of disease, and new therapeutic strategies. Although -omic level single-cell technologies are a relatively recent development that have been used only in research settings, these approaches might eventually be used in the clinic. We review the prospects of applying single-cell genome, transcriptome, epigenome, proteome, and metabolome analyses to gastroenterology and hepatology research. Combining data from multi-omic platforms coupled to rapid technological development could lead to new diagnostic, prognostic, and therapeutic approaches.
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Affiliation(s)
- Mirazul Islam
- Epithelial Biology Center and Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Bob Chen
- Chemical and Physical Biology Program, Vanderbilt University, Nashville, Tennessee
| | - Jeffrey M Spraggins
- Mass Spectrometry Research Center, Departments of Biochemistry and Chemistry, Vanderbilt University, Nashville, Tennessee
| | - Ryan T Kelly
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah
| | - Ken S Lau
- Epithelial Biology Center and Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, Tennessee; Chemical and Physical Biology Program, Vanderbilt University, Nashville, Tennessee.
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103
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Batth IS, Meng Q, Wang Q, Torres KE, Burks J, Wang J, Gorlick R, Li S. Rare osteosarcoma cell subpopulation protein array and profiling using imaging mass cytometry and bioinformatics analysis. BMC Cancer 2020; 20:715. [PMID: 32736533 PMCID: PMC7395380 DOI: 10.1186/s12885-020-07203-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Accepted: 07/22/2020] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Single rare cell characterization represents a new scientific front in personalized therapy. Imaging mass cytometry (IMC) may be able to address all these questions by combining the power of MS-CyTOF and microscopy. METHODS We have investigated this IMC method using < 100 to up to 1000 cells from human sarcoma tumor cell lines by incorporating bioinformatics-based t-Distributed Stochastic Neighbor Embedding (t-SNE) analysis of highly multiplexed IMC imaging data. We tested this process on osteosarcoma cell lines TC71, OHS as well as osteosarcoma patient-derived xenograft (PDX) cell lines M31, M36, and M60. We also validated our analysis using sarcoma patient-derived CTCs. RESULTS We successfully identified heterogeneity within individual tumor cell lines, the same PDX cells, and the CTCs from the same patient by detecting multiple protein targets and protein localization. Overall, these data reveal that our t-SNE-based approach can not only identify rare cells within the same cell line or cell population, but also discriminate amongst varied groups to detect similarities and differences. CONCLUSIONS This method helps us make greater inroads towards generating patient-specific CTC fingerprinting that could provide an accurate tumor status from a minimally-invasive liquid biopsy.
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Affiliation(s)
- Izhar S Batth
- Department of Pediatrics-Research, Division of Pediatrics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA
| | - Qing Meng
- Department of Laboratory Medicine, Division of Pathology and Laboratory Medicine, Houston, USA
| | - Qi Wang
- Department of Bioinformatics and Computational Biology, Division of Science, Houston, USA
| | - Keila E Torres
- Department of Surgical Oncology, Division of Surgery, Houston, USA
| | - Jared Burks
- Department of Leukemia, Division of Cancer Medicine, UT MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA
| | - Jing Wang
- Department of Bioinformatics and Computational Biology, Division of Science, Houston, USA.
| | - Richard Gorlick
- Department of Pediatrics-Research, Division of Pediatrics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA
| | - Shulin Li
- Department of Pediatrics-Research, Division of Pediatrics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
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104
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Labib M, Wang Z, Ahmed SU, Mohamadi RM, Duong B, Green B, Sargent EH, Kelley SO. Tracking the expression of therapeutic protein targets in rare cells by antibody-mediated nanoparticle labelling and magnetic sorting. Nat Biomed Eng 2020; 5:41-52. [PMID: 32719513 DOI: 10.1038/s41551-020-0590-1] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Accepted: 06/23/2020] [Indexed: 12/20/2022]
Abstract
Molecular-level features of tumours can be tracked using single-cell analyses of circulating tumour cells (CTCs). However, single-cell measurements of protein expression for rare CTCs are hampered by the presence of a large number of non-target cells. Here, we show that antibody-mediated labelling of intracellular proteins in the nucleus, mitochondria and cytoplasm of human cells with magnetic nanoparticles enables analysis of target proteins at the single-cell level by sorting the cells according to their nanoparticle content in a microfluidic device with cell-capture zones sandwiched between arrays of magnets. We used the magnetic labelling and cell-sorting approach to track the expression of therapeutic protein targets in CTCs isolated from blood samples of mice with orthotopic prostate xenografts and from patients with metastatic castration-resistant prostate cancer. We also show that mutated proteins that are drug targets or markers of therapeutic response can be directly identified in CTCs, analysed at the single-cell level and used to predict how mice with drug-susceptible and drug-resistant pancreatic tumour xenografts respond to therapy.
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Affiliation(s)
- Mahmoud Labib
- Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Zongjie Wang
- Institute for Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
| | - Sharif U Ahmed
- Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Reza M Mohamadi
- Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Bill Duong
- Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Brenda Green
- Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Edward H Sargent
- Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario, Canada
| | - Shana O Kelley
- Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada. .,Institute for Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada. .,Department of Biochemistry, University of Toronto, Toronto, Ontario, Canada.
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105
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Xing QR, Farran CAE, Zeng YY, Yi Y, Warrier T, Gautam P, Collins JJ, Xu J, Dröge P, Koh CG, Li H, Zhang LF, Loh YH. Parallel bimodal single-cell sequencing of transcriptome and chromatin accessibility. Genome Res 2020; 30:1027-1039. [PMID: 32699019 PMCID: PMC7397874 DOI: 10.1101/gr.257840.119] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Accepted: 06/25/2020] [Indexed: 12/18/2022]
Abstract
Joint profiling of transcriptome and chromatin accessibility within single cells allows for the deconstruction of the complex relationship between transcriptional states and upstream regulatory programs determining different cell fates. Here, we developed an automated method with high sensitivity, assay for single-cell transcriptome and accessibility regions (ASTAR-seq), for simultaneous measurement of whole-cell transcriptome and chromatin accessibility within the same single cell. To show the utility of ASTAR-seq, we profiled 384 mESCs under naive and primed pluripotent states as well as a two-cell like state, 424 human cells of various lineage origins (BJ, K562, JK1, and Jurkat), and 480 primary cord blood cells undergoing erythroblast differentiation. With the joint profiles, we configured the transcriptional and chromatin accessibility landscapes of discrete cell states, uncovered linked sets of cis-regulatory elements and target genes unique to each state, and constructed interactome and transcription factor (TF)–centered upstream regulatory networks for various cell states.
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Affiliation(s)
- Qiao Rui Xing
- Epigenetics and Cell Fates Laboratory, Institute of Molecular and Cell Biology, A*STAR, Singapore 138673, Singapore.,School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore
| | - Chadi A El Farran
- Epigenetics and Cell Fates Laboratory, Institute of Molecular and Cell Biology, A*STAR, Singapore 138673, Singapore.,Department of Biological Sciences, National University of Singapore, Singapore 117558, Singapore
| | - Ying Ying Zeng
- Epigenetics and Cell Fates Laboratory, Institute of Molecular and Cell Biology, A*STAR, Singapore 138673, Singapore.,School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore
| | - Yao Yi
- Epigenetics and Cell Fates Laboratory, Institute of Molecular and Cell Biology, A*STAR, Singapore 138673, Singapore.,Department of Biological Sciences, National University of Singapore, Singapore 117558, Singapore
| | - Tushar Warrier
- Epigenetics and Cell Fates Laboratory, Institute of Molecular and Cell Biology, A*STAR, Singapore 138673, Singapore.,Department of Biological Sciences, National University of Singapore, Singapore 117558, Singapore
| | - Pradeep Gautam
- Epigenetics and Cell Fates Laboratory, Institute of Molecular and Cell Biology, A*STAR, Singapore 138673, Singapore.,Department of Biological Sciences, National University of Singapore, Singapore 117558, Singapore
| | - James J Collins
- Institute for Medical Engineering and Science, Department of Biological Engineering, and Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.,Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.,Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts 02115, USA
| | - Jian Xu
- Department of Biological Sciences, National University of Singapore, Singapore 117558, Singapore.,Department of Plant Systems Physiology, Institute for Water and Wetland Research, Radboud University, Heyendaalseweg 135, 6525 AJ, Nijmegen, The Netherlands
| | - Peter Dröge
- School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore
| | - Cheng-Gee Koh
- School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore
| | - Hu Li
- Center for Individualized Medicine, Department of Molecular Pharmacology & Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Li-Feng Zhang
- School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore
| | - Yuin-Han Loh
- Epigenetics and Cell Fates Laboratory, Institute of Molecular and Cell Biology, A*STAR, Singapore 138673, Singapore.,Department of Biological Sciences, National University of Singapore, Singapore 117558, Singapore.,NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore 119077, Singapore.,Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
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106
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Xing QR, Cipta NO, Hamashima K, Liou YC, Koh CG, Loh YH. Unraveling Heterogeneity in Transcriptome and Its Regulation Through Single-Cell Multi-Omics Technologies. Front Genet 2020; 11:662. [PMID: 32765578 PMCID: PMC7380244 DOI: 10.3389/fgene.2020.00662] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Accepted: 06/01/2020] [Indexed: 12/30/2022] Open
Abstract
Cellular heterogeneity plays a pivotal role in tissue homeostasis and the disease development of multicellular organisms. To deconstruct the heterogeneity, a multitude of single-cell toolkits measuring various cellular contents, including genome, transcriptome, epigenome, and proteome, have been developed. More recently, multi-omics single-cell techniques enable the capture of molecular footprints with a higher resolution by simultaneously profiling various cellular contents within an individual cell. Integrative analysis of multi-omics datasets unravels the relationships between cellular modalities, builds sophisticated regulatory networks, and provides a holistic view of the cell state. In this review, we summarize the major developments in the single-cell field and review the current state-of-the-art single-cell multi-omic techniques and the bioinformatic tools for integrative analysis.
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Affiliation(s)
- Qiao Rui Xing
- Epigenetics and Cell Fates Laboratory, Institute of Molecular and Cell Biology, ASTAR, Singapore, Singapore
- School of Biological Sciences, Nanyang Technological University, Singapore, Singapore
| | - Nadia Omega Cipta
- Epigenetics and Cell Fates Laboratory, Institute of Molecular and Cell Biology, ASTAR, Singapore, Singapore
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
| | - Kiyofumi Hamashima
- Epigenetics and Cell Fates Laboratory, Institute of Molecular and Cell Biology, ASTAR, Singapore, Singapore
| | - Yih-Cherng Liou
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
| | - Cheng Gee Koh
- School of Biological Sciences, Nanyang Technological University, Singapore, Singapore
| | - Yuin-Han Loh
- Epigenetics and Cell Fates Laboratory, Institute of Molecular and Cell Biology, ASTAR, Singapore, Singapore
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
- NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore, Singapore
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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107
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Yang L, George J, Wang J. Deep Profiling of Cellular Heterogeneity by Emerging Single-Cell Proteomic Technologies. Proteomics 2020; 20:e1900226. [PMID: 31729152 PMCID: PMC7225074 DOI: 10.1002/pmic.201900226] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 10/14/2019] [Indexed: 12/20/2022]
Abstract
The ability to comprehensively profile cellular heterogeneity in functional proteome is crucial in advancing the understanding of cell behavior, organism development, and disease mechanisms. Conventional bulk measurement by averaging the biological responses across a population often loses the information of cellular variations. Single-cell proteomic technologies are becoming increasingly important to understand and discern cellular heterogeneity. The well-established methods for single-cell protein analysis based on flow cytometry and fluorescence microscopy are limited by the low multiplexing ability owing to the spectra overlap of fluorophores for labeling antibodies. Recent advances in mass spectrometry (MS), microchip, and reiterative staining-based techniques for single-cell proteomics have enabled the evaluation of cellular heterogeneity with high throughput, increased multiplexity, and improved sensitivity. In this review, the principles, developments, advantages, and limitations of these advanced technologies in analysis of single-cell proteins, along with their biological applications to study cellular heterogeneity, are described. At last, the remaining challenges, possible strategies, and future opportunities that will facilitate the improvement and broad applications of single-cell proteomic technologies in cell biology and medical research are discussed.
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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
| | - Justin George
- Department of Chemistry, State University of New York, University at Albany, Albany, NY 12222
| | - 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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108
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Geldert A, Huang H, Herr AE. Probe-target hybridization depends on spatial uniformity of initial concentration condition across large-format chips. Sci Rep 2020; 10:8768. [PMID: 32472029 PMCID: PMC7260366 DOI: 10.1038/s41598-020-65563-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Accepted: 04/23/2020] [Indexed: 12/30/2022] Open
Abstract
Diverse assays spanning from immunohistochemistry (IHC), to microarrays (protein, DNA), to high-throughput screens rely on probe-target hybridization to detect analytes. These large-format 'chips' array numerous hybridization sites across centimeter-scale areas. However, the reactions are prone to intra-assay spatial variation in hybridization efficiency. The mechanism of spatial bias in hybridization efficiency is poorly understood, particularly in IHC and in-gel immunoassays, where immobilized targets are heterogeneously distributed throughout a tissue or hydrogel network. In these systems, antibody probe hybridization to a target protein antigen depends on the interplay of dilution, thermodynamic partitioning, diffusion, and reaction. Here, we investigate parameters governing antibody probe transport and reaction (i.e., immunoprobing) in a large-format hydrogel immunoassay. Using transport and bimolecular binding theory, we identify a regime in which immunoprobing efficiency (η) is sensitive to the local concentration of applied antibody probe solution, despite the antibody probe being in excess compared to antigen. Sandwiching antibody probe solution against the hydrogel surface yields spatially nonuniform dilution. Using photopatterned fluorescent protein targets and a single-cell immunoassay, we identify regimes in which nonuniformly distributed antibody probe solution causes intra-assay variation in background and η. Understanding the physicochemical factors affecting probe-target hybridization reduces technical variation in large-format chips, improving measurement precision.
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Affiliation(s)
- Alisha Geldert
- UC Berkeley - UCSF Graduate Program in Bioengineering, Berkeley, United States
| | - Haiyan Huang
- Department of Statistics, University of California Berkeley, Berkeley, California, 94720, United States
- Center for Computational Biology, University of California Berkeley, Berkeley, California, 94720, United States
| | - Amy E Herr
- UC Berkeley - UCSF Graduate Program in Bioengineering, Berkeley, United States.
- Department of Bioengineering, University of California Berkeley, Berkeley, California, 94720, United States.
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109
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Tan KY, Herr AE. Ferguson analysis of protein electromigration during single-cell electrophoresis in an open microfluidic device. Analyst 2020; 145:3732-3741. [PMID: 32347219 PMCID: PMC7336862 DOI: 10.1039/c9an02553g] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
In an open microfluidic device, we investigate protein polyacrylamide gel electrophoresis (PAGE) separation performance on single-cell lysate. Single-cell protein electrophoresis is performed in a thin layer of polyacrylamide (PA) gel into which microwells are molded. Individual cells are isolated in these open microwells, then lysed on-chip with a dual lysis and electrophoresis sodium dodecyl sulfate (SDS) buffer. We scrutinize the effect of sieving gel composition on electromigration of protein targets, using a wide range of cellular protein standards (36 kDa to 289 kDa). We find that as PA concentration increases, protein electromigration deviates from the empirical log-linear relationship predicted between migration distance and molecular mass. We perform Ferguson analysis to calculate retardation coefficients and free solution mobilities of nine cellular protein standards and observe that the largest-molecular-mass protein, mTOR (289 kDa), does not behave as predicted by established linear-fit models for SDS-denatured proteins, indicating that mTOR is beyond the linear range of this assay. Lastly, we performed in-gel immunoprobing on the single-cell electrophoretic separations and observed that smaller pore-size gels (higher gel concentration) reduce protein diffusion out of the gel, which does not notably impact the measured immunoprobed protein expression. Compared to larger pore-size gels, the smaller pore-size gels lead to higher local concentrations of the target protein in each protein band, resulting in an increase in the signal-to-noise ratio (SNR) for each protein. Understanding the separation and immunoprobing performance at different gel concentrations improves assay design and optimization for target proteins.
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Affiliation(s)
- Kristine Y Tan
- The UC Berkeley - UCSF Graduate Program in Bioengineering, 94720 Berkeley, USA.
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110
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Liu L, Chen D, Wang J, Chen J. Advances of Single-Cell Protein Analysis. Cells 2020; 9:E1271. [PMID: 32443882 PMCID: PMC7290353 DOI: 10.3390/cells9051271] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 05/14/2020] [Accepted: 05/18/2020] [Indexed: 02/07/2023] Open
Abstract
Proteins play a significant role in the key activities of cells. Single-cell protein analysis provides crucial insights in studying cellular heterogeneities. However, the low abundance and enormous complexity of the proteome posit challenges in analyzing protein expressions at the single-cell level. This review summarizes recent advances of various approaches to single-cell protein analysis. We begin by discussing conventional characterization approaches, including fluorescence flow cytometry, mass cytometry, enzyme-linked immunospot assay, and capillary electrophoresis. We then detail the landmark advances of microfluidic approaches for analyzing single-cell protein expressions, including microfluidic fluorescent flow cytometry, droplet-based microfluidics, microwell-based assay (microengraving), microchamber-based assay (barcoding microchips), and single-cell Western blotting, among which the advantages and limitations are compared. Looking forward, we discuss future research opportunities and challenges for multiplexity, analyte, throughput, and sensitivity of the microfluidic approaches, which we believe will prompt the research of single-cell proteins such as the molecular mechanism of cell biology, as well as the clinical applications for tumor treatment and drug development.
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Affiliation(s)
- Lixing Liu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China; (L.L.); (D.C.)
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Deyong Chen
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China; (L.L.); (D.C.)
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
- School of Future Technologies, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Junbo Wang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China; (L.L.); (D.C.)
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
- School of Future Technologies, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jian Chen
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China; (L.L.); (D.C.)
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
- School of Future Technologies, University of Chinese Academy of Sciences, Beijing 100049, China
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111
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Lun XK, Bodenmiller B. Profiling Cell Signaling Networks at Single-cell Resolution. Mol Cell Proteomics 2020; 19:744-756. [PMID: 32132232 PMCID: PMC7196580 DOI: 10.1074/mcp.r119.001790] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 03/03/2020] [Indexed: 12/24/2022] Open
Abstract
Signaling networks process intra- and extracellular information to modulate the functions of a cell. Deregulation of signaling networks results in abnormal cellular physiological states and often drives diseases. Network responses to a stimulus or a drug treatment can be highly heterogeneous across cells in a tissue because of many sources of cellular genetic and non-genetic variance. Signaling network heterogeneity is the key to many biological processes, such as cell differentiation and drug resistance. Only recently, the emergence of multiplexed single-cell measurement technologies has made it possible to evaluate this heterogeneity. In this review, we categorize currently established single-cell signaling network profiling approaches by their methodology, coverage, and application, and we discuss the advantages and limitations of each type of technology. We also describe the available computational tools for network characterization using single-cell data and discuss potential confounding factors that need to be considered in single-cell signaling network analyses.
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Affiliation(s)
- Xiao-Kang Lun
- Institute of Molecular Life Sciences, University of Zürich, 8057 Zürich, Switzerland; Molecular Life Sciences PhD Program, Life Science Zürich Graduate School, ETH Zürich and University of Zürich, 8057 Zürich, Switzerland
| | - Bernd Bodenmiller
- Institute of Molecular Life Sciences, University of Zürich, 8057 Zürich, Switzerland.
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112
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Liu L, Yang H, Men D, Wang M, Gao X, Zhang T, Chen D, Xue C, Wang Y, Wang J, Chen J. Development of microfluidic platform capable of high-throughput absolute quantification of single-cell multiple intracellular proteins from tumor cell lines and patient tumor samples. Biosens Bioelectron 2020; 155:112097. [PMID: 32090869 DOI: 10.1016/j.bios.2020.112097] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 02/10/2020] [Accepted: 02/12/2020] [Indexed: 12/31/2022]
Abstract
Quantification of single-cell proteins plays key roles in cell heterogeneity while due to technical limitations absolute numbers of multiple intracellular proteins from large populations of single cells were still missing, leading to compromised results in cell-type classifications. This paper presents a microfluidic platform capable of high-throughput absolute quantification of single-cell multiple types of intracellular proteins where cells stained with fluorescent labelled antibodies are aspirated into the constriction microchannels with excited fluorescent signals detected and translated into numbers of binding sites of targeted proteins based on calibration curves formed by flushing gradient solutions of fluorescent labelled antibodies directly into constriction microchannels. Based on this approach, single-cell numbers of binding sites of β-actin, α-tubulin and β-tubulin from tens of thousands of five representative tumor cell lines were first quantified, reporting cell-type classification rates of 83.0 ± 7.1%. Then single-cell numbers of binding sites of β-actin, biotin and RhoA from thousands of five tumor cell lines with varieties in malignant levels were quantified, reporting cell-type classification rates of 93.7 ± 2.8%. Furthermore, single-cell numbers of binding sites of Ras, c-Myc and p53 from thousands of cells derived from two oral tumor lines of CAL 27, WSU-HN6 and two oral tumor patient samples were quantified, contributing to high classifications of both tumor cell lines (98.6%) and tumor patient samples (83.4%). In conclusion, the developed microfluidic platform was capable of quantifying multiple intracellular proteins from large populations of single cells, and the collected data of protein expressions enabled effective cell-type classifications.
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Affiliation(s)
- Lixing Liu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China; School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China
| | - Hongyu Yang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China; School of Future Technology, University of Chinese Academy of Sciences, Beijing, China
| | - Dong Men
- State Key Laboratory of Virology, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China
| | - Meng Wang
- Peking University School of Stomatology, Beijing, China
| | - Xiaolei Gao
- Peking University School of Stomatology, Beijing, China
| | - Ting Zhang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China; School of Future Technology, University of Chinese Academy of Sciences, Beijing, China
| | - Deyong Chen
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China; School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China; School of Future Technology, University of Chinese Academy of Sciences, Beijing, China
| | - Chunlai Xue
- Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China
| | - Yixiang Wang
- Peking University School of Stomatology, Beijing, China.
| | - Junbo Wang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China; School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China; School of Future Technology, University of Chinese Academy of Sciences, Beijing, China.
| | - Jian Chen
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China; School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China; School of Future Technology, University of Chinese Academy of Sciences, Beijing, China.
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113
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Nakao T, Kazoe Y, Mori E, Morikawa K, Fukasawa T, Yoshizaki A, Kitamori T. Cytokine analysis on a countable number of molecules from living single cells on nanofluidic devices. Analyst 2020; 144:7200-7208. [PMID: 31691693 DOI: 10.1039/c9an01702j] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Analysis of proteins released from living single cells is strongly required in the fields of biology and medicine to elucidate the mechanism of gene expression, cell-cell communication and cytopathology. However, as living single-cell analysis involves fL sample volumes with ultra-small amounts of analyte, comprehensive integration of entire chemical processing for single cells and proteins into spaces smaller than single cells (pL) would be indispensable to prevent dispersion-associated analyte loss. In this study, we proposed and developed a living single-cell protein analysis device based on micro/nanofluidics and demonstrated analysis of cytokines released from living single B cells by enzyme-linked immunosorbent assay. Based on our integration method and technologies including top-down nanofabrication, surface modifications and pressure-driven flow control, we designed and prepared the device where pL-microfluidic- and fL-nanofluidic channels are hierarchically allocated for cellular and molecular processing, respectively, and succeeded in micro/nanofluidic control for manipulating single cells and molecules. 13-unit operations for pL-cellular processing including single-cell trapping and stimulation and fL-molecular processing including fL-volumetry, antigen-antibody reactions and detection were entirely integrated into a microchip. The results suggest analytical performances for countable interleukin (IL)-6 molecules at the limit of detection of 5.27 molecules and that stimulated single B cells secrete 3.41 IL-6 molecules per min. The device is a novel tool for single-cell targeted proteomics, and the methodology of device integration is applicable to other single-cell analyses such as single-cell shotgun proteomics. This study thus provides a general approach and technical breakthroughs that will facilitate further advances in micro/nanofluidics, single-cell life science research, and other fields.
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Affiliation(s)
- Tatsuro Nakao
- Department of Bioengineering, School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo 113-8656, Japan.
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114
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Rosàs-Canyelles E, Modzelewski AJ, Geldert A, He L, Herr AE. Assessing heterogeneity among single embryos and single blastomeres using open microfluidic design. SCIENCE ADVANCES 2020; 6:eaay1751. [PMID: 32494630 PMCID: PMC7176412 DOI: 10.1126/sciadv.aay1751] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2019] [Accepted: 01/28/2020] [Indexed: 05/13/2023]
Abstract
The process by which a zygote develops from a single cell into a multicellular organism is poorly understood. Advances are hindered by detection specificity and sensitivity limitations of single-cell protein tools and by challenges in integrating multimodal data. We introduce an open microfluidic tool expressly designed for same-cell phenotypic, protein, and mRNA profiling. We examine difficult-to-study-yet critically important-murine preimplantation embryo stages. In blastomeres dissociated from less well-studied two-cell embryos, we observe no significant GADD45a protein expression heterogeneity, apparent at the four-cell stage. In oocytes, we detect differences in full-length versus truncated DICER-1 mRNA and protein, which are insignificant by the two-cell stage. Single-embryo analyses reveal intraembryonic heterogeneity, differences between embryos of the same fertilization event and between donors, and reductions in the burden of animal sacrifice. Open microfluidic design integrates with existing workflows and opens new avenues for assessing the cellular-to-molecular heterogeneity inherent to preimplantation embryo development.
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Affiliation(s)
- Elisabet Rosàs-Canyelles
- Department of Bioengineering, University of California Berkeley, Berkeley, CA 94720, USA
- The University of California Berkeley and University of California San Francisco Graduate Program in Bioengineering, 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
| | - Alisha Geldert
- Department of Bioengineering, University of California Berkeley, Berkeley, CA 94720, USA
- The University of California Berkeley and University of California San Francisco Graduate Program in Bioengineering, 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
- The University of California Berkeley and University of California San Francisco Graduate Program in Bioengineering, Berkeley, CA 94720, USA
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115
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Moshkovskii SA, Lobas AA, Gorshkov MV. Single Cell Proteogenomics - Immediate Prospects. BIOCHEMISTRY (MOSCOW) 2020; 85:140-146. [PMID: 32093591 DOI: 10.1134/s0006297920020029] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Recent technical advances in genomic technology have led to the explosive growth of transcriptome-wide studies at the level of single cells. The review describes the first steps of the single cell proteomics that has originated soon after development of transcriptomics methods. The first studies on the shotgun proteomics of single cells that used liquid chromatography/mass spectrometry have been already published. In these works, the cells were separated by the methods used in transcriptomics studies (e.g., cell sorting) and analyzed by modified mass spectrometry with tandem mass tags. The new proteogenomics approach involving integration of single cell transcriptomics and proteomics data will provide better understanding of the mechanisms of cell interactions in normal development and disease.
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Affiliation(s)
- S A Moshkovskii
- Pirogov Russian National Research Medical University, Moscow, 117997, Russia. .,Orekhovich Institute of Biomedical Chemistry, Moscow, 119121, Russia
| | - A A Lobas
- Talrose Institute for Energy Problems of Chemical Physics, Semenov Federal Research Center of Chemical Physics, Russian Academy of Sciences, Moscow, 119334, Russia
| | - M V Gorshkov
- Talrose Institute for Energy Problems of Chemical Physics, Semenov Federal Research Center of Chemical Physics, Russian Academy of Sciences, Moscow, 119334, Russia
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116
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Arvin NE, Dawod M, Lamb DT, Anderson JP, Furtaw MD, Kennedy RT. Fast Immunoassay for Microfluidic Western Blotting by Direct Deposition of Reagents onto Capture Membrane. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2020; 12:1606-1616. [PMID: 32661464 PMCID: PMC7357712 DOI: 10.1039/d0ay00207k] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Western blotting is a widely used protein assay platform, but the technique requires long analysis times and multiple manual steps. Microfluidic systems are currently being explored for increased automation and reduction of analysis times, sample volumes, and reagent consumption for western blots. Previous work has demonstrated that proteins separated by microchip electrophoresis can be captured on membranes by dragging the microchip outlet across the membrane. This process reduces the separation and transfer time of a western blot to a few minutes. To further improve the speed and miniaturization of a complete western blot, a microscale immunoassay with direct deposition of immunoassay reagents has been developed. Flow deposition of antibodies is used to overcome diffusion limited binding kinetics so that the entire immunoassay can be completed in 1 h with detection sensitivity comparable to incubation steps requiring 20 h. The use of low microliter/min flow rates with antibody reagents applied directly and locally to the membrane where the target proteins have been captured, reduced antibody consumption ~30-fold. The complete western blot was applied to the detection of GAPDH and β-Tubulin from A431 cell lysate.
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Affiliation(s)
- Natalie E. Arvin
- Department of Chemistry, University of Michigan, 930 N. University Ave., Ann Arbor, Michigan 48109, United States
| | - Mohamed Dawod
- Department of Chemistry, University of Michigan, 930 N. University Ave., Ann Arbor, Michigan 48109, United States
- Vaccine Analytical R&D, Merck Research Laboratories, 770 Sumneytown Pike, West Point, Pennsylvania 19486, United States
| | - Don T. Lamb
- LI-COR Biosciences, 4647 Superior St., Lincoln, Nebraska 68504, United States
| | - Jon P. Anderson
- LI-COR Biosciences, 4647 Superior St., Lincoln, Nebraska 68504, United States
| | - Michael D. Furtaw
- LI-COR Biosciences, 4647 Superior St., Lincoln, Nebraska 68504, United States
| | - Robert T. Kennedy
- Department of Chemistry, University of Michigan, 930 N. University Ave., Ann Arbor, Michigan 48109, United States
- Department of Pharmacology, University of Michigan, 1150 W. Medical Center Dr., Ann Arbor, Michigan 48109, United States
- Corresponding author: Robert T. Kennedy, , Tel: 734-615-4363, Fax: 745-615-6462
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117
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Lombard-Banek C, Schiel JE. Mass Spectrometry Advances and Perspectives for the Characterization of Emerging Adoptive Cell Therapies. Molecules 2020; 25:E1396. [PMID: 32204371 PMCID: PMC7144572 DOI: 10.3390/molecules25061396] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 03/06/2020] [Accepted: 03/11/2020] [Indexed: 12/12/2022] Open
Abstract
Adoptive cell therapy is an emerging anti-cancer modality, whereby the patient's own immune cells are engineered to express T-cell receptor (TCR) or chimeric antigen receptor (CAR). CAR-T cell therapies have advanced the furthest, with recent approvals of two treatments by the Food and Drug Administration of Kymriah (trisagenlecleucel) and Yescarta (axicabtagene ciloleucel). Recent developments in proteomic analysis by mass spectrometry (MS) make this technology uniquely suited to enable the comprehensive identification and quantification of the relevant biochemical architecture of CAR-T cell therapies and fulfill current unmet needs for CAR-T product knowledge. These advances include improved sample preparation methods, enhanced separation technologies, and extension of MS-based proteomic to single cells. Innovative technologies such as proteomic analysis of raw material quality attributes (MQA) and final product quality attributes (PQA) may provide insights that could ultimately fuel development strategies and lead to broad implementation.
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Affiliation(s)
- Camille Lombard-Banek
- National Institute of Standards and Technology, Gaithersburg, MD 20899, USA;
- Institute for Bioscience and Biotechnology Research, Rockville, MD 20850, USA
| | - John E. Schiel
- National Institute of Standards and Technology, Gaithersburg, MD 20899, USA;
- Institute for Bioscience and Biotechnology Research, Rockville, MD 20850, USA
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118
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Xu X, Wang J, Wu L, Guo J, Song Y, Tian T, Wang W, Zhu Z, Yang C. Microfluidic Single-Cell Omics Analysis. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2020; 16:e1903905. [PMID: 31544338 DOI: 10.1002/smll.201903905] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2019] [Revised: 08/26/2019] [Indexed: 05/27/2023]
Abstract
The commonly existing cellular heterogeneity plays a critical role in biological processes such as embryonic development, cell differentiation, and disease progress. Single-cell omics-based heterogeneous studies have great significance for identifying different cell populations, discovering new cell types, revealing informative cell features, and uncovering significant interrelationships between cells. Recently, microfluidics has evolved to be a powerful technology for single-cell omics analysis due to its merits of throughput, sensitivity, and accuracy. Herein, the recent advances of microfluidic single-cell omics analysis, including different microfluidic platform designs, lysis strategies, and omics analysis techniques, are reviewed. Representative applications of microfluidic single-cell omics analysis in complex biological studies are then summarized. Finally, a few perspectives on the future challenges and development trends of microfluidic-assisted single-cell omics analysis are discussed.
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Affiliation(s)
- Xing Xu
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Junxia Wang
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Lingling Wu
- Institute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Jingjing Guo
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Yanling Song
- Institute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Tian Tian
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Wei Wang
- Institute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Zhi Zhu
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Chaoyong Yang
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
- Institute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
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119
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Abstract
Cells, the basic units of life, have striking differences at transcriptomic, proteomic and epigenomic levels across tissues, organs, organ systems and organisms. The coordination of individual immune cells is essential for the generation of effective immune responses to pathogens while immune tolerance is maintained to protect the host. In rheumatic diseases, when immune responses are dysregulated, pathologically important cells might represent only a small fraction of the immune system. Interrogation of the contributions of individual immune cells to pathogenesis and disease progression should therefore reveal important insights into the complicated aetiology of rheumatic diseases. Technological advances are enabling the high-dimensional dissection of single cells at multiple omics levels, which could facilitate the identification of dysregulated molecular mechanisms in patients with rheumatic diseases and the discovery of new therapeutic targets and biomarkers. The single-cell technologies that have been developed over the past decade and the experimental platforms that enable multi-omics integrative analyses have already made inroads into immunology-related fields of study and have potential for use in rheumatology. Layers of omics data derived from single cells are likely to fundamentally change our understanding of the molecular pathways that underpin the pathogenesis of rheumatic diseases.
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120
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Analytical distributions for detailed models of stochastic gene expression in eukaryotic cells. Proc Natl Acad Sci U S A 2020; 117:4682-4692. [PMID: 32071224 PMCID: PMC7060679 DOI: 10.1073/pnas.1910888117] [Citation(s) in RCA: 77] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
The stochasticity of gene expression presents significant challenges to the modeling of genetic networks. A two-state model describing promoter switching, transcription, and messenger RNA (mRNA) decay is the standard model of stochastic mRNA dynamics in eukaryotic cells. Here, we extend this model to include mRNA maturation, cell division, gene replication, dosage compensation, and growth-dependent transcription. We derive expressions for the time-dependent distributions of nascent mRNA and mature mRNA numbers, provided two assumptions hold: 1) nascent mRNA dynamics are much faster than those of mature mRNA; and 2) gene-inactivation events occur far more frequently than gene-activation events. We confirm that thousands of eukaryotic genes satisfy these assumptions by using data from yeast, mouse, and human cells. We use the expressions to perform a sensitivity analysis of the coefficient of variation of mRNA fluctuations averaged over the cell cycle, for a large number of genes in mouse embryonic stem cells, identifying degradation and gene-activation rates as the most sensitive parameters. Furthermore, it is shown that, despite the model's complexity, the time-dependent distributions predicted by our model are generally well approximated by the negative binomial distribution. Finally, we extend our model to include translation, protein decay, and auto-regulatory feedback, and derive expressions for the approximate time-dependent protein-number distributions, assuming slow protein decay. Our expressions enable us to study how complex biological processes contribute to the fluctuations of gene products in eukaryotic cells, as well as allowing a detailed quantitative comparison with experimental data via maximum-likelihood methods.
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121
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Abstract
The existence of cellular heterogeneity and its central relevance to biological phenomena provides a strong rationale for a need for analytical methods that enable analysis at the single-cell level. Analysis of the genome and transcriptome is possible at the single-cell level, but the comprehensive interrogation of the proteome with this level of resolution remains challenging. Single-cell protein analysis tools are advancing rapidly, however, and providing insights into collections of proteins with great relevance to cell and disease biology. Here, we review single-cell protein analysis technologies and assess their advantages and limitations. The emerging technologies presented have the potential to reveal new insights into tumour heterogeneity and therapeutic resistance, elucidate mechanisms of immune response and immunotherapy, and accelerate drug discovery.
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122
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Shlyapnikov YM, Kanev IL, Shlyapnikova EA. Rapid Ultrasensitive Gel-Free Immunoblotting with Magnetic Labels. Anal Chem 2020; 92:4146-4153. [PMID: 32023039 DOI: 10.1021/acs.analchem.0c00314] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Immunoblotting is widely used for the detection of proteins using specific antibodies. We present here a new immunoblotting method, which is characterized by exceptional sensitivity, rapidness, and low consumption of antibodies. A thin conductive layer between touching hydrophilic cellulose membranes instead of polyacrylamide gel is used for the electrophoretic separation of proteins. Contrary to common Western blotting, the separation occurs in nondenaturing conditions. The membrane surface is smoothed by deposition of the cellulose layer and modified with azidophenyl groups, allowing for the photochemical in situ immobilization of proteins, which are carried out after the electrophoresis. Thus, the additional step of transferring the protein from the gel onto the membrane is eliminated. Specific protein bands are then visualized by decoration with magnetic beads. The limit of detection of interleukin IL-1β reaches 0.3 fg or ∼104 molecules, whereas the total blotting time is about 5 min. The application of the technique is demonstrated by the detection of IL-1β, total IgA, and IgA specific to Mycobacterium tuberculosis antigen in the exhaled breath samples, obtained from healthy subjects and tuberculosis patients.
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Affiliation(s)
- Yuri M Shlyapnikov
- Institute of Theoretical and Experimental Biophysics, Russian Academy of Sciences, Pushchino, Moscow Region 142290 Russia
| | - Igor L Kanev
- Institute of Theoretical and Experimental Biophysics, Russian Academy of Sciences, Pushchino, Moscow Region 142290 Russia
| | - Elena A Shlyapnikova
- Institute of Theoretical and Experimental Biophysics, Russian Academy of Sciences, Pushchino, Moscow Region 142290 Russia
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123
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Moritz CP. 40 years Western blotting: A scientific birthday toast. J Proteomics 2020; 212:103575. [DOI: 10.1016/j.jprot.2019.103575] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 10/23/2019] [Accepted: 10/28/2019] [Indexed: 12/27/2022]
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124
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Jeeawoody S, Yamauchi KA, Su A, Herr AE. Laterally Aggregated Polyacrylamide Gels for Immunoprobed Isoelectric Focusing. Anal Chem 2020; 92:3180-3188. [PMID: 31985208 DOI: 10.1021/acs.analchem.9b04913] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Immunoprobed isoelectric focusing (IEF) resolves proteins based on differences in isoelectric point (pI) and then identifies protein targets through immunoprobing of IEF-separated proteins that have been immobilized onto a gel scaffold. During the IEF stage, the gel functions as an anti-convective medium and not as a molecular sieving matrix. During the immunoprobing stage, the gel acts as an immobilization scaffold for IEF-focused proteins via photoactive moieties. Here, we characterized the effect of gel pore size on IEF separation and in-gel immunoassay performance. We modulated polyacrylamide (PA) gel pore size via lateral chain aggregation initiated by PEG monomers. During IEF, the 2% PEG highly porous PA gel formulation offered higher resolution (minimum pI difference ∼0.07 ± 0.02) than unmodified 6%T, 3.3%C (benchmark) and 6%T, 8%C (negative control) PA gels. The highly porous gels supported a pH gradient with slope and linearity comparable to benchmark gels. The partition coefficient for antibodies into the highly porous gels (K = 0.35 ± 0.02) was greater than the benchmark (3×) and negative control (1.75×) gels. The highly porous gels also had lower immunoassay background signal than the benchmark (2×) and negative control (3×) gels. Taken together, lateral aggregation creates PA gels that are suitable for both IEF and subsequent in-gel immunoprobing by mitigating immunoprobe exclusion from the gels while facilitating removal of unbound immunoprobe.
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Affiliation(s)
- Shaheen Jeeawoody
- Department of Bioengineering , University of California Berkeley , Berkeley , California 94720 , United States.,The UC Berkeley/UCSF Graduate Program in Bioengineering , University of California Berkeley , Berkeley , California 94720 , United States
| | - Kevin A Yamauchi
- Department of Bioengineering , University of California Berkeley , Berkeley , California 94720 , United States.,The UC Berkeley/UCSF Graduate Program in Bioengineering , University of California Berkeley , Berkeley , California 94720 , United States
| | - Alison Su
- Department of Bioengineering , University of California Berkeley , Berkeley , California 94720 , United States.,The UC Berkeley/UCSF Graduate Program in Bioengineering , University of California Berkeley , Berkeley , California 94720 , United States
| | - Amy E Herr
- Department of Bioengineering , University of California Berkeley , Berkeley , California 94720 , United States.,The UC Berkeley/UCSF Graduate Program in Bioengineering , University of California Berkeley , Berkeley , California 94720 , United States.,Chan Zuckerberg Biohub , 499 Illinois Street , San Francisco , California 94158 , United States
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125
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Affiliation(s)
- Malgorzata A. Witek
- Department of Chemistry, The University of Kansas, Lawrence, Kansas 66044, United States
- Center of Biomodular Multiscale Systems for Precision Medicine, The University of Kansas, Lawrence, Kansas 66044, United States
- Department of Biomedical Engineering, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States
| | - Ian M. Freed
- Department of Chemistry, The University of Kansas, Lawrence, Kansas 66044, United States
- Center of Biomodular Multiscale Systems for Precision Medicine, The University of Kansas, Lawrence, Kansas 66044, United States
| | - Steven A. Soper
- Department of Chemistry, The University of Kansas, Lawrence, Kansas 66044, United States
- Center of Biomodular Multiscale Systems for Precision Medicine, The University of Kansas, Lawrence, Kansas 66044, United States
- Department of Mechanical Engineering, The University of Kansas, Lawrence, Kansas 66044, United States
- Bioengineering Program, The University of Kansas, Lawrence, Kansas 66044, United States
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126
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Gumuscu B, Herr AE. Separation-encoded microparticles for single-cell western blotting. LAB ON A CHIP 2020; 20:64-73. [PMID: 31773114 PMCID: PMC7029799 DOI: 10.1039/c9lc00917e] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Direct measurement of proteins from single cells has been realized at the microscale using microfluidic channels, capillaries, and semi-enclosed microwell arrays. Although powerful, these formats are constrained, with the enclosed geometries proving cumbersome for multistage assays, including electrophoresis followed by immunoprobing. We introduce a hybrid microfluidic format that toggles between a planar microwell array and a suspension of microparticles. The planar array is stippled in a thin sheet of polyacrylamide gel, for efficient single-cell isolation and protein electrophoresis of hundreds-to-thousands of cells. Upon mechanical release, array elements become a suspension of separation-encoded microparticles for more efficient immunoprobing due to enhanced mass transfer. Dehydrating microparticles offer improved analytical sensitivity owing to in-gel concentration of fluorescence signal for high-throughput single-cell targeted proteomics.
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Affiliation(s)
- Burcu Gumuscu
- Department of Bioengineering, University of California Berkeley, Berkeley, USA.
| | - Amy E Herr
- Department of Bioengineering, University of California Berkeley, Berkeley, USA.
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127
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Abstract
Thermodynamic partitioning dictates solute loading and release from a hydrogel. Design of drug delivery vehicles, cell and tissue matrices, and immunoassay scaffolds that utilize hydrogel materials is informed by an understanding of the thermodynamic partitioning properties of those hydrogels. We develop aberration-compensated laser scanning confocal microscopy (AC-LSCM), a technique that can be applied to all fluorescence microscopy-based equilibrium partition coefficient measurements where the fluorescence is uniformly distributed in the reference material (e.g., many solutes in thermodynamic equilibrium). In this paper, we use AC-LSCM to measure spatially resolved in situ equilibrium partition coefficients of various fluorescently labeled solutes in single-layer and multilayer open hydrogels. In considering a dynamic material, we scrutinize solute interactions with a UV photoactive polyacrylamide gel that incorporates a benzophenone methacrylamide backbone. We observed strong agreement with an adjusted version of Ogston's ideal size-exclusion model for spatially resolved in situ equilibrium partition coefficients across a wide range of polyacrylamide hydrogel densities (R2 = 0.98). Partition coefficients of solutes differing in hydrodynamic radius were consistent with size-based theory in the photoactive hydrogels, but exceed those in unmodified polyacrylamide gels. This observation suggests a deviation from the size-exclusion model and a shift in the thermodynamic equilibrium state of the solutes toward the gel phase. AC-LSCM also resolves differential partitioning behavior of the model solute in two-layer gels, providing insight into the transport phenomena governing the partitioning in multilaminate gel structures. Furthermore, AC-LSCM identifies and quantifies depth-dependent axial aberrations that could confound quantitation, highlighting the need for the "aberration compensated" aspect of AC-LSCM.
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Affiliation(s)
- Alison Su
- The UC Berkeley/UCSF Graduate Program in Bioengineering, University of California Berkeley, Berkeley, California 94720, United States
| | - Benjamin E. Smith
- Department of Vision Sciences, University of California Berkeley, Berkeley, California 94720, United States
| | - Amy E. Herr
- The UC Berkeley/UCSF Graduate Program in Bioengineering, University of California Berkeley, Berkeley, California 94720, United States
- Department of Bioengineering, University of California Berkeley, Berkeley, California 94720, United States
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128
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Callahan N, Tullman J, Kelman Z, Marino J. Strategies for Development of a Next-Generation Protein Sequencing Platform. Trends Biochem Sci 2019; 45:76-89. [PMID: 31676211 DOI: 10.1016/j.tibs.2019.09.005] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 09/11/2019] [Accepted: 09/17/2019] [Indexed: 02/08/2023]
Abstract
Proteomic analysis can be a critical bottleneck in cellular characterization. The current paradigm relies primarily on mass spectrometry of peptides and affinity reagents (i.e., antibodies), both of which require a priori knowledge of the sample. An unbiased protein sequencing method, with a dynamic range that covers the full range of protein concentrations in proteomes, would revolutionize the field of proteomics, allowing a more facile characterization of novel gene products and subcellular complexes. To this end, several new platforms based on single-molecule protein-sequencing approaches have been proposed. This review summarizes four of these approaches, highlighting advantages, limitations, and challenges for each method towards advancing as a core technology for next-generation protein sequencing.
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Affiliation(s)
- Nicholas Callahan
- Institute for Bioscience and Biotechnology Research, National Institute of Standards and Technology, and University of Maryland, Rockville, MD 20850, USA.
| | - Jennifer Tullman
- Institute for Bioscience and Biotechnology Research, National Institute of Standards and Technology, and University of Maryland, Rockville, MD 20850, USA
| | - Zvi Kelman
- Institute for Bioscience and Biotechnology Research, National Institute of Standards and Technology, and University of Maryland, Rockville, MD 20850, USA; Biomolecular Labeling Laboratory, Institute for Bioscience and Biotechnology Research, Rockville, MD 20850, USA
| | - John Marino
- Institute for Bioscience and Biotechnology Research, National Institute of Standards and Technology, and University of Maryland, Rockville, MD 20850, USA
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129
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Gopal A, Herr AE. Multiplexed in-gel microfluidic immunoassays: characterizing protein target loss during reprobing of benzophenone-modified hydrogels. Sci Rep 2019; 9:15389. [PMID: 31659305 PMCID: PMC6817870 DOI: 10.1038/s41598-019-51849-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Accepted: 09/27/2019] [Indexed: 12/28/2022] Open
Abstract
From whole tissues to single-cell lysate, heterogeneous immunoassays are widely utilized for analysis of protein targets in complex biospecimens. Recently, benzophenone-functionalized hydrogel scaffolds have been used to immobilize target protein for immunoassay detection with fluorescent antibody probes. In benzophenone-functionalized hydrogels, multiplex target detection occurs via serial rounds of chemical stripping (incubation with sodium-dodecyl-sulfate (SDS) and β-mercaptoethanol at 50-60 °C for ≥1 h), followed by reprobing (interrogation with additional antibody probes). Although benzophenone facilitates covalent immobilization of proteins to the hydrogel, we observe 50% immunoassay signal loss of immobilized protein targets during stripping rounds. Here, we identify and characterize signal loss mechanisms during stripping and reprobing. We posit that loss of immobilized target is responsible for ≥50% of immunoassay signal loss, and that target loss is attributable to disruption of protein immobilization by denaturing detergents (SDS) and incubation at elevated temperatures. Furthermore, our study suggests that protein losses under non-denaturing conditions are more sensitive to protein structure (i.e., hydrodynamic radius), than to molecular mass (size). We formulate design guidance for multiplexed in-gel immunoassays, including that low-abundance proteins be immunoprobed first, even when targets are covalently immobilized to the gel. We also recommend careful scrutiny of the order of proteins targets detected via multiple immunoprobing cycles, based on the protein immobilization buffer composition.
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Affiliation(s)
- Anjali Gopal
- Department of Bioengineering, University of California, Berkeley, Berkeley, California, 94720, United States
- UC Berkeley/UCSF Graduate Program in Bioengineering, University of California, Berkeley, Berkeley, California, 94720, United States
| | - Amy E Herr
- Department of Bioengineering, University of California, Berkeley, Berkeley, California, 94720, United States.
- UC Berkeley/UCSF Graduate Program in Bioengineering, University of California, Berkeley, Berkeley, California, 94720, United States.
- Chan Zuckerberg BioHub, San Francisco, California, 94158, United States.
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130
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Moully EH, Berns EJ, Mrksich M. Label-Free Assay of Protein Tyrosine Phosphatase Activity in Single Cells. Anal Chem 2019; 91:13206-13212. [PMID: 31536703 PMCID: PMC6889211 DOI: 10.1021/acs.analchem.9b03640] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Populations of cells exhibit variations in biochemical activity, resulting from many factors including random stochastic variability in protein production, metabolic and cell-cycle states, regulatory mechanisms, and external signaling. The development of methods for the analysis of single cells has allowed for the measurement and understanding of this inherent heterogeneity, yet methods for measuring protein activities on the single-cell scale lag behind their genetic analysis counterparts and typically report on expression rather than activity. This paper presents an approach to measure protein tyrosine phosphatase (PTP) activity in individual cells using self-assembled monolayers for matrix-assisted laser desorption/ionization mass spectrometry. Using flow cytometry, individual cells are first sorted into a well plate containing lysis buffer and a phosphopeptide substrate. After lysis and incubation-during which the PTP enzymes act on the peptide substrate-the reaction substrate and product are immobilized onto arrays of self-assembled monolayers, which are then analyzed using mass spectrometry. PTP activities from thousands of individual cells were measured and their distributions analyzed. This work demonstrates a general method for measuring enzyme activities in lysates derived from individual cells and will contribute to the understanding of cellular heterogeneity in a variety of contexts.
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Affiliation(s)
- Elamar Hakim Moully
- Department of Chemistry, Northwestern University, Evanston, Illinois 60208, USA
| | - Eric J. Berns
- Department of Biomedical Engineering, Northwestern University, Evanston, Illinois 60208, USA
| | - Milan Mrksich
- Department of Chemistry, Northwestern University, Evanston, Illinois 60208, USA
- Department of Biomedical Engineering, Northwestern University, Evanston, Illinois 60208, USA
- Department of Cell & Developmental Biology, Northwestern University, Chicago, Illinois 60611, USA
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131
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Kuppers DA, Arora S, Lim Y, Lim AR, Carter LM, Corrin PD, Plaisier CL, Basom R, Delrow JJ, Wang S, Hansen He H, Torok-Storb B, Hsieh AC, Paddison PJ. N 6-methyladenosine mRNA marking promotes selective translation of regulons required for human erythropoiesis. Nat Commun 2019; 10:4596. [PMID: 31601799 PMCID: PMC6787028 DOI: 10.1038/s41467-019-12518-6] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Accepted: 08/26/2019] [Indexed: 12/30/2022] Open
Abstract
Many of the regulatory features governing erythrocyte specification, maturation, and associated disorders remain enigmatic. To identify new regulators of erythropoiesis, we utilize a functional genomic screen for genes affecting expression of the erythroid marker CD235a/GYPA. Among validating hits are genes coding for the N6-methyladenosine (m6A) mRNA methyltransferase (MTase) complex, including, METTL14, METTL3, and WTAP. We demonstrate that m6A MTase activity promotes erythroid gene expression programs through selective translation of ~300 m6A marked mRNAs, including those coding for SETD histone methyltransferases, ribosomal components, and polyA RNA binding proteins. Remarkably, loss of m6A marks results in dramatic loss of H3K4me3 marks across key erythroid-specific KLF1 transcriptional targets (e.g., Heme biosynthesis genes). Further, each m6A MTase subunit and a subset of their mRNAs targets are required for human erythroid specification in primary bone-marrow derived progenitors. Thus, m6A mRNA marks promote the translation of a network of genes required for human erythropoiesis.
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Affiliation(s)
- Daniel A Kuppers
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Sonali Arora
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Yiting Lim
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Andrea R Lim
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
- Molecular and Cellular Biology Program, University of Washington, Seattle, WA, 98195, USA
| | - Lucas M Carter
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Philip D Corrin
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Christopher L Plaisier
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, 85281, USA
| | - Ryan Basom
- Genomics Shared Resource, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Jeffrey J Delrow
- Genomics Shared Resource, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Shiyan Wang
- Princess Margaret Cancer Centre/University Health Network, Toronto, ON, Canada
| | - Housheng Hansen He
- Princess Margaret Cancer Centre/University Health Network, Toronto, ON, Canada
| | - Beverly Torok-Storb
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Andrew C Hsieh
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA.
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA.
- School of Medicine, University of Washington, Seattle, WA, 98195, USA.
| | - Patrick J Paddison
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA.
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132
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Proximity ligation assays for precise quantification of femtomolar proteins in single cells using self-priming microfluidic dPCR chip. Anal Chim Acta 2019; 1076:118-124. [DOI: 10.1016/j.aca.2019.05.034] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2019] [Revised: 04/29/2019] [Accepted: 05/13/2019] [Indexed: 01/09/2023]
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133
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Dou M, Clair G, Tsai CF, Xu K, Chrisler WB, Sontag RL, Zhao R, Moore RJ, Liu T, Pasa-Tolic L, Smith RD, Shi T, Adkins JN, Qian WJ, Kelly RT, Ansong C, Zhu Y. High-Throughput Single Cell Proteomics Enabled by Multiplex Isobaric Labeling in a Nanodroplet Sample Preparation Platform. Anal Chem 2019; 91:13119-13127. [PMID: 31509397 DOI: 10.1021/acs.analchem.9b03349] [Citation(s) in RCA: 128] [Impact Index Per Article: 25.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Effective extension of mass spectrometry-based proteomics to single cells remains challenging. Herein we combined microfluidic nanodroplet technology with tandem mass tag (TMT) isobaric labeling to significantly improve analysis throughput and proteome coverage for single mammalian cells. Isobaric labeling facilitated multiplex analysis of single cell-sized protein quantities to a depth of ∼1 600 proteins with a median CV of 10.9% and correlation coefficient of 0.98. To demonstrate in-depth high throughput single cell analysis, the platform was applied to measure protein expression in 72 single cells from three murine cell populations (epithelial, immune, and endothelial cells) in <2 days instrument time with over 2 300 proteins identified. Principal component analysis grouped the single cells into three distinct populations based on protein expression with each population characterized by well-known cell-type specific markers. Our platform enables high throughput and unbiased characterization of single cell heterogeneity at the proteome level.
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Affiliation(s)
- Maowei Dou
- Environmental Molecular Sciences Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Geremy Clair
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Chia-Feng Tsai
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Kerui Xu
- Environmental Molecular Sciences Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - William B Chrisler
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Ryan L Sontag
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Rui Zhao
- Environmental Molecular Sciences Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Ronald J Moore
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Tao Liu
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Ljiljana Pasa-Tolic
- Environmental Molecular Sciences Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Richard D Smith
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Tujin Shi
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Joshua N Adkins
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Wei-Jun Qian
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Ryan T Kelly
- Environmental Molecular Sciences Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States.,Department of Chemistry and Biochemistry , Brigham Young University , Provo , Utah 84604 , United States
| | - Charles Ansong
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Ying Zhu
- Environmental Molecular Sciences Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
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134
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Zhang Y, Naguro I, Herr AE. In Situ Single-Cell Western Blot on Adherent Cell Culture. Angew Chem Int Ed Engl 2019; 58:13929-13934. [PMID: 31390130 PMCID: PMC6759404 DOI: 10.1002/anie.201906920] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 07/12/2019] [Indexed: 12/14/2022]
Abstract
Integrating 2D culture of adherent mammalian cells with single-cell western blotting (in situ scWB) uses microfluidic design to eliminate the requirement for trypsin release of cells to suspension, prior to single-cell isolation and protein analysis. To assay HeLa cells from an attached starting state, we culture adherent cells in fibronectin-functionalized microwells formed in a thin layer of polyacrylamide gel. To integrate the culture, lysis, and assay workflow, we introduce a one-step copolymerization process that creates protein-decorated microwells. After single-cell culture, we lyse each cell in the microwell and perform western blotting on each resultant lysate. We observe cell spreading after overnight microwell-based culture. scWB reports increased phosphorylation of MAP kinases (ERK1/2, p38) under hypertonic conditions. We validate the in situ scWB with slab-gel western blot, while revealing cell-to-cell heterogeneity in stress responses.
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Affiliation(s)
- Yizhe Zhang
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA, 94720, USA
| | - Isao Naguro
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan
| | - Amy E Herr
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA, 94720, USA
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135
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Zhang Y, Naguro I, Herr AE. In Situ Single‐Cell Western Blot on Adherent Cell Culture. Angew Chem Int Ed Engl 2019. [DOI: 10.1002/ange.201906920] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
- Yizhe Zhang
- Department of BioengineeringUniversity of California, Berkeley Berkeley CA 94720 USA
| | - Isao Naguro
- Graduate School of Pharmaceutical SciencesThe University of Tokyo Tokyo Japan
| | - Amy E. Herr
- Department of BioengineeringUniversity of California, Berkeley Berkeley CA 94720 USA
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136
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Chen P, Chen D, Li S, Ou X, Liu BF. Microfluidics towards single cell resolution protein analysis. Trends Analyt Chem 2019. [DOI: 10.1016/j.trac.2019.06.022] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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137
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Sonnen KF, Merten CA. Microfluidics as an Emerging Precision Tool in Developmental Biology. Dev Cell 2019; 48:293-311. [PMID: 30753835 DOI: 10.1016/j.devcel.2019.01.015] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 12/13/2018] [Accepted: 01/10/2019] [Indexed: 12/18/2022]
Abstract
Microfluidics has become a precision tool in modern biology. It enables omics data to be obtained from individual cells, as compared to averaged signals from cell populations, and it allows manipulation of biological specimens in entirely new ways. Cells and organisms can be perturbed at extraordinary spatiotemporal resolution, revealing mechanistic insights that would otherwise remain hidden. In this perspective article, we discuss the current and future impact of microfluidic technology in the field of developmental biology. In addition, we provide detailed information on how to start using this technology even without prior experience.
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Affiliation(s)
| | - Christoph A Merten
- Genome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.
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138
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Genuth NR, Barna M. Heterogeneity and specialized functions of translation machinery: from genes to organisms. Nat Rev Genet 2019; 19:431-452. [PMID: 29725087 DOI: 10.1038/s41576-018-0008-z] [Citation(s) in RCA: 141] [Impact Index Per Article: 28.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Regulation of mRNA translation offers the opportunity to diversify the expression and abundance of proteins made from individual gene products in cells, tissues and organisms. Emerging evidence has highlighted variation in the composition and activity of several large, highly conserved translation complexes as a means to differentially control gene expression. Heterogeneity and specialized functions of individual components of the ribosome and of the translation initiation factor complexes eIF3 and eIF4F, which are required for recruitment of the ribosome to the mRNA 5' untranslated region, have been identified. In this Review, we summarize the evidence for selective mRNA translation by components of these macromolecular complexes as a means to dynamically control the translation of the proteome in time and space. We further discuss the implications of this form of gene expression regulation for a growing number of human genetic disorders associated with mutations in the translation machinery.
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Affiliation(s)
- Naomi R Genuth
- Departments of Genetics and Developmental Biology, Stanford University, Stanford, CA, USA.,Department of Biology, Stanford University, Stanford, CA, USA
| | - Maria Barna
- Departments of Genetics and Developmental Biology, Stanford University, Stanford, CA, USA.
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139
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Sundah NR, Ho NRY, Lim GS, Natalia A, Ding X, Liu Y, Seet JE, Chan CW, Loh TP, Shao H. Barcoded DNA nanostructures for the multiplexed profiling of subcellular protein distribution. Nat Biomed Eng 2019; 3:684-694. [PMID: 31285580 DOI: 10.1038/s41551-019-0417-0] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Accepted: 05/14/2019] [Indexed: 11/09/2022]
Abstract
Massively parallel DNA sequencing is established, yet high-throughput protein profiling remains challenging. Here, we report a barcoding approach that leverages the combinatorial sequence content and the configurational programmability of DNA nanostructures for high-throughput multiplexed profiling of the subcellular expression and distribution of proteins in whole cells. The barcodes are formed by in situ hybridization of tetrahedral DNA nanostructures and short DNA sequences conjugated with protein-targeting antibodies, and by nanostructure-assisted ligation (either enzymatic or chemical) of the nanostructures and exogenous DNA sequences bound to nanoparticles of different sizes (which cause these localization sequences to differentially distribute across subcellular compartments). Compared with linear DNA barcoding, the nanostructured barcodes enhance the signal by more than 100-fold. By implementing the barcoding approach on a microfluidic device for the analysis of rare patient samples, we show that molecular subtypes of breast cancer can be accurately classified and that subcellular spatial markers of disease aggressiveness can be identified.
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Affiliation(s)
- Noah R Sundah
- Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore, Singapore.,Institute for Health Innovation and Technology, National University of Singapore, Singapore, Singapore
| | - Nicholas R Y Ho
- Institute for Health Innovation and Technology, National University of Singapore, Singapore, Singapore.,Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, Singapore
| | - Geok Soon Lim
- Institute for Health Innovation and Technology, National University of Singapore, Singapore, Singapore.,Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, Singapore
| | - Auginia Natalia
- Institute for Health Innovation and Technology, National University of Singapore, Singapore, Singapore
| | - Xianguang Ding
- Institute for Health Innovation and Technology, National University of Singapore, Singapore, Singapore
| | - Yu Liu
- Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore, Singapore.,Institute for Health Innovation and Technology, National University of Singapore, Singapore, Singapore
| | - Ju Ee Seet
- Department of Pathology, National University Hospital, Singapore, Singapore
| | - Ching Wan Chan
- Department of Surgery, National University Hospital, Singapore, Singapore.,Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Tze Ping Loh
- Institute for Health Innovation and Technology, National University of Singapore, Singapore, Singapore.,Department of Laboratory Medicine, National University Hospital, Singapore, Singapore
| | - Huilin Shao
- Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore, Singapore. .,Institute for Health Innovation and Technology, National University of Singapore, Singapore, Singapore. .,Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, Singapore. .,Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
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140
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Böger C, Hafner AS, Schlichthärle T, Strauss MT, Malkusch S, Endesfelder U, Jungmann R, Schuman EM, Heilemann M. Super-resolution imaging and estimation of protein copy numbers at single synapses with DNA-point accumulation for imaging in nanoscale topography. NEUROPHOTONICS 2019; 6:035008. [PMID: 31637284 PMCID: PMC6795074 DOI: 10.1117/1.nph.6.3.035008] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Accepted: 07/31/2019] [Indexed: 05/25/2023]
Abstract
In the brain, the strength of each individual synapse is defined by the complement of proteins present or the "local proteome." Activity-dependent changes in synaptic strength are the result of changes in this local proteome and posttranslational protein modifications. Although most synaptic proteins have been identified, we still know little about protein copy numbers in individual synapses and variations between synapses. We use DNA-point accumulation for imaging in nanoscale topography as a single-molecule super-resolution imaging technique to visualize and quantify protein copy numbers in single synapses. The imaging technique provides near-molecular spatial resolution, is unaffected by photobleaching, enables imaging of large field of views, and provides quantitative molecular information. We demonstrate these benefits by accessing copy numbers of surface AMPA-type receptors at single synapses of rat hippocampal neurons along dendritic segments.
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Affiliation(s)
- Carolin Böger
- Goethe University, Institute of Physical and Theoretical Chemistry, Frankfurt, Germany
| | | | - Thomas Schlichthärle
- Ludwig Maximilian University, Center for Nanoscience, Faculty of Physics, Munich, Germany
- Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Maximilian T. Strauss
- Ludwig Maximilian University, Center for Nanoscience, Faculty of Physics, Munich, Germany
- Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Sebastian Malkusch
- Goethe University, Institute of Physical and Theoretical Chemistry, Frankfurt, Germany
| | | | - Ralf Jungmann
- Ludwig Maximilian University, Center for Nanoscience, Faculty of Physics, Munich, Germany
- Max Planck Institute of Biochemistry, Martinsried, Germany
| | | | - Mike Heilemann
- Goethe University, Institute of Physical and Theoretical Chemistry, Frankfurt, Germany
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141
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Abstract
A microfluidic device as a pivotal research tool in chemistry and life science is now widely recognized. Indeed, microfluidic techniques have made significant advancements in fundamental research, such as the inherent heterogeneity of single-cells studies in cell populations, which would be helpful in understanding cellular molecular mechanisms and clinical diagnosis of major diseases. Single-cell analyses on microdevices have shown great potential for precise fluid control, cell manipulation, and signal output with rapid and high throughput. Moreover, miniaturized devices also have open functions such as integrating with traditional detection methods, for example, optical, electrochemical or mass spectrometry for single-cell analysis. In this review, we summarized recent advances of single-cell analysis based on various microfluidic approaches from different dimensions, such as in vitro, ex vivo, and in vivo analysis of single cells.
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Affiliation(s)
- Xiaowen Ou
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology
| | - Peng Chen
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology
| | - Bi-Feng Liu
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology
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142
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Su EJ, Jeeawoody S, Herr AE. Protein diffusion from microwells with contrasting hydrogel domains. APL Bioeng 2019; 3:026101. [PMID: 31069338 PMCID: PMC6481738 DOI: 10.1063/1.5078650] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Accepted: 04/03/2019] [Indexed: 12/11/2022] Open
Abstract
Understanding and controlling molecular transport in hydrogel materials is important for biomedical tools, including engineered tissues and drug delivery, as well as life sciences tools for single-cell analysis. Here, we scrutinize the ability of microwells-micromolded in hydrogel slabs-to compartmentalize lysate from single cells. We consider both (i) microwells that are "open" to a large fluid (i.e., liquid) reservoir and (ii) microwells that are "closed," having been capped with either a slab of high-density polyacrylamide gel or an impermeable glass slide. We use numerical modeling to gain insight into the sensitivity of time-dependent protein concentration distributions on hydrogel partition and protein diffusion coefficients and open and closed microwell configurations. We are primarily concerned with diffusion-driven protein loss from the microwell cavity. Even for closed microwells, confocal fluorescence microscopy reports that a fluid (i.e., liquid) film forms between the hydrogel slabs (median thickness of 1.7 μm). Proteins diffuse from the microwells and into the fluid (i.e., liquid) layer, yet concentration distributions are sensitive to the lid layer partition coefficients and the protein diffusion coefficient. The application of a glass lid or a dense hydrogel retains protein in the microwell, increasing the protein solute concentration in the microwell by ∼7-fold for the first 15 s. Using triggered release of Protein G from microparticles, we validate our simulations by characterizing protein diffusion in a microwell capped with a high-density polyacrylamide gel lid (p > 0.05, Kolmogorov-Smirnov test). Here, we establish and validate a numerical model useful for understanding protein transport in and losses from a hydrogel microwell across a range of boundary conditions.
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143
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Liu Y, Chen X, Zhang Y, Liu J. Advancing single-cell proteomics and metabolomics with microfluidic technologies. Analyst 2019; 144:846-858. [PMID: 30351310 DOI: 10.1039/c8an01503a] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Recent advances in single-cell analysis have unraveled substantial heterogeneity among seemingly identical cells at genomic and transcriptomic levels. These discoveries have urged scientists to develop new tools that are capable of investigating single cells from a broader set of "omics". Proteomics and metabolomics, for instance, are of particular interest as they are closely correlated with a dynamic picture of cellular behaviors and phenotypic identities. The development of such tools requires highly efficient isolation and processing of a large number of individual cells, where techniques such as microfluidics are extremely useful. Here, we review the recent advances in single-cell proteomics and metabolomics, with a focus on microfluidics-based platforms. We highlight a vast array of emerging microfluidic formats for single-cell isolation and manipulation, and how the state-of-the-art analytical tools are coupled with such platforms for proteomic and metabolomic profiling.
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Affiliation(s)
- Yifan Liu
- Jiangsu Key Laboratory for Carbon-based Functional Materials and Devices, Institute of Functional Nano and Soft Materials (FUNSOM), Soochow University, Suzhou, Jiangsu Province 215123, China.
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144
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Sinkala E, Rosàs-Canyelles E, Herr AE. Single-cell mobility shift electrophoresis reports protein localization to the cell membrane. Analyst 2019; 144:972-979. [PMID: 30234203 DOI: 10.1039/c8an01441h] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
While profiling of cell surface receptors grants valuable insight on cell phenotype, surface receptors alone cannot fully describe activated downstream signaling pathways, detect internalized receptor activity, or indicate constitutively active signaling in subcellular compartments. To measure surface-bound and intracellular targets in the same cell, we introduce a tandem single-cell assay that combines immunofluorescence of surface-bound epithelial cellular adhesion molecule (EpCAM) with subsequent protein polyacrylamide gel electrophoresis (PAGE) of unfixed MCF7 breast cancer cells. After surface staining and cell lysis, surface EpCAM is analyzed by single-cell PAGE, concurrent with immunoprobing of intracellular targets. Consequently, the single-cell electrophoresis step reports localization of both surface and intracellular targets. Unbound intracellular EpCAM is readily resolved from surface EpCAM immunocomplex owing to a ∼30% mobility shift. Flow cytometry and immunofluorescence are in concordance with single-cell PAGE. Lastly, we challenged the stability of the EpCAM immunocomplexes by varying ionic and non-ionic component concentrations in the lysis buffer, the lysis time, and electrophoresis duration. As expected, the harsher conditions proved most disruptive to the immunocomplexes. The compatibility of live-cell immunostaining with single-cell PAGE eliminates the need to perform single-cell imaging by condensing read-out of both surface-bound proteins (as low mobility immune complexes) and intracellular targets to a single immunoblot, thus linking cell type and state.
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Affiliation(s)
- Elly Sinkala
- Department of Bioengineering, University of California, Berkeley, 94720 Berkeley, USA.
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145
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Chen Z, Lu Y, Zhang K, Xiao Y, Lu J, Fan R. Multiplexed, Sequential Secretion Analysis of the Same Single Cells Reveals Distinct Effector Response Dynamics Dependent on the Initial Basal State. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2019; 6:1801361. [PMID: 31065513 PMCID: PMC6498135 DOI: 10.1002/advs.201801361] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2018] [Revised: 01/03/2019] [Indexed: 05/10/2023]
Abstract
The effector response of immune cells dictated by an array of secreted proteins is a highly dynamic process, requiring sequential measurement of all relevant proteins from single cells. Herein, a microchip-based, 10-plexed, sequential secretion assay on the same single cells and at the scale of ≈5000 single cells measured simultaneously over 4 time points are shown. It is applied to investigating the time course of single human macrophage response to toll-like receptor 4 (TLR4) ligand lipopolysaccharide (LPS) and reveals four distinct activation modes for different proteins in single cells. Protein secretion dynamics classifies the cells into two major activation states dependent on the basal state of each cell. Single-cell RNA sequencing performed on the same samples at the matched time points further demonstrates the existence of two major activation states at the transcriptional level, which are enriched for translation versus inflammatory programs, respectively. These results show a cell-intrinsic heterogeneous response in a phenotypically homogeneous cell population. This work demonstrates the longitudinal tracking of protein secretion signature in thousands of single cells at multiple time points, providing dynamic information to better understand how individual immune cells react to pathogenic challenges over time and how they together constitute a population response.
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Affiliation(s)
- Zhuo Chen
- Department of Biomedical EngineeringYale UniversityNew HavenCT06520USA
| | - Yao Lu
- Department of Biomedical EngineeringYale UniversityNew HavenCT06520USA
- Department of BiotechnologyDalian Institute of Chemical PhysicsChinese Academy of SciencesDalianLiaoning116023China
| | - Kerou Zhang
- Department of Biomedical EngineeringYale UniversityNew HavenCT06520USA
| | - Yang Xiao
- Department of Biomedical EngineeringYale UniversityNew HavenCT06520USA
| | - Jun Lu
- Department of GeneticsYale School of MedicineNew HavenCT06520USA
- Yale Stem Cell CenterNew HavenCT06520USA
| | - Rong Fan
- Department of Biomedical EngineeringYale UniversityNew HavenCT06520USA
- Department of GeneticsYale School of MedicineNew HavenCT06520USA
- Yale Stem Cell CenterNew HavenCT06520USA
- Yale Cancer CenterNew HavenCT06520USA
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146
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Higdon LE, Schaffert S, Khatri P, Maltzman JS. Single cell immune profiling in transplantation research. Am J Transplant 2019; 19:1278-1287. [PMID: 30768832 PMCID: PMC7032075 DOI: 10.1111/ajt.15316] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2018] [Revised: 01/30/2019] [Accepted: 02/08/2019] [Indexed: 01/25/2023]
Abstract
Recently developed single-cell profiling technologies hold promise to provide new insights including analysis of population heterogeneity and linkage of antigen receptors with gene expression. These technologies produce complex data sets that require knowledge of bioinformatics for appropriate analysis. In this minireview, we discuss several single-cell immune profiling technologies for gene and protein expression, including cytometry by time-of-flight, RNA sequencing, and antigen receptor sequencing, as well as key considerations for analysis that apply to each. Because of the critical importance of data analysis for high parameter single cell analysis, we discuss essential factors in analysis of these data, including quality control, quantification, examples of methods for high dimensional analysis, immune repertoire analysis, and preparation of analysis pipelines. We provide examples of, and suggestions for, application of these innovative methods to transplantation research.
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Affiliation(s)
- Lauren E Higdon
- Department of Medicine/Nephrology, Stanford University, Palo Alto, California
| | - Steven Schaffert
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, California
- Department of Medicine/Biomedical Informatics, Stanford University, Stanford, California
| | - Purvesh Khatri
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, California
- Department of Medicine/Biomedical Informatics, Stanford University, Stanford, California
| | - Jonathan S Maltzman
- Department of Medicine/Nephrology, Stanford University, Palo Alto, California
- VA Palo Alto Health Care System, Palo Alto, California
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147
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Bott CJ, Johnson CG, Yap CC, Dwyer ND, Litwa KA, Winckler B. Nestin in immature embryonic neurons affects axon growth cone morphology and Semaphorin3a sensitivity. Mol Biol Cell 2019; 30:1214-1229. [PMID: 30840538 PMCID: PMC6724523 DOI: 10.1091/mbc.e18-06-0361] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Revised: 02/21/2019] [Accepted: 02/26/2019] [Indexed: 12/14/2022] Open
Abstract
Correct wiring in the neocortex requires that responses to an individual guidance cue vary among neurons in the same location, and within the same neuron over time. Nestin is an atypical intermediate filament expressed strongly in neural progenitors and is thus used widely as a progenitor marker. Here we show a subpopulation of embryonic cortical neurons that transiently express nestin in their axons. Nestin expression is thus not restricted to neural progenitors, but persists for 2-3 d at lower levels in newborn neurons. We found that nestin-expressing neurons have smaller growth cones, suggesting that nestin affects cytoskeletal dynamics. Nestin, unlike other intermediate filament subtypes, regulates cdk5 kinase by binding the cdk5 activator p35. Cdk5 activity is induced by the repulsive guidance cue Semaphorin3a (Sema3a), leading to axonal growth cone collapse in vitro. Therefore, we tested whether nestin-expressing neurons showed altered responses to Sema3a. We find that nestin-expressing newborn neurons are more sensitive to Sema3a in a roscovitine-sensitive manner, whereas nestin knockdown results in lowered sensitivity to Sema3a. We propose that nestin functions in immature neurons to modulate cdk5 downstream of the Sema3a response. Thus, the transient expression of nestin could allow temporal and/or spatial modulation of a neuron's response to Sema3a, particularly during early axon guidance.
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Affiliation(s)
- C. J. Bott
- Department of Cell Biology, University of Virginia, Charlottesville, VA 22908
| | - C. G. Johnson
- Department of Anatomy and Cell Biology, Brody School of Medicine, East Carolina University, Greenville, NC 27834
| | - C. C. Yap
- Department of Cell Biology, University of Virginia, Charlottesville, VA 22908
| | - N. D. Dwyer
- Department of Cell Biology, University of Virginia, Charlottesville, VA 22908
| | - K. A. Litwa
- Department of Anatomy and Cell Biology, Brody School of Medicine, East Carolina University, Greenville, NC 27834
| | - B. Winckler
- Department of Cell Biology, University of Virginia, Charlottesville, VA 22908
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148
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Xu Y, Hu J, Zhu Q, Song Q, Mu Y. Co-detection of ALDH1A1, ABCG2, ALCAM and CD133 in three A549 subpopulations at the single cell level by one-step digital RT-PCR. Integr Biol (Camb) 2019; 10:364-369. [PMID: 29808880 DOI: 10.1039/c8ib00042e] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Cancer stem-like cells (CSCs) displaying the properties of normal stem cells have become the main culprit associated with cancer transportation and recurrence. As of now, various CSC functions and marker genes have been identified due to the heterogeneity of cancer, such as aldehyde dehydrogenase (ALDH), the second member of the ABC transporter G-subfamily (ABCG2), activated leukocyte cell adhesion molecule (ALCAM) and CD133. To investigate these markers, most conventional approaches are bulk-based strategies, which may veil the disparity of single cells' gene expression. In this study, one-step digital RT-PCR at the single cell level was developed to co-determine the expression of ALDH1A1, ABCG2, ALCAM and CD133 genes in A549 cancer stem cells that perform high ALDH activities (ALDH+ A549 cells), as well as in ALDH- A549 cells and A549 cells, with 36, 20 and 20 cell samples each. The results demonstrated that, when compared to single ALDH- or A549 cells, the majority of single ALDH+ A549 cells displayed a 1.5- and 2.0-fold increase in the gene expression of ALDH1A1 and ALCAM (P < 0.001), respectively. However, for ABCG2 and CD133, there was no significant difference (P > 0.05), which means that they are not appropriate as co-indicated markers to identify ALDH+ A549 cells. Conclusively, as a single cell level approach, one-step digital RT-PCR has potential in exploring efficient co-detection markers for the classification and identification of CSCs.
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Affiliation(s)
- Yanan Xu
- Research Center for Analytical Instrumentation, Institute of Cyber Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, Zhejiang, P. R. China.
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149
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Cao Z, Grima R. Accuracy of parameter estimation for auto-regulatory transcriptional feedback loops from noisy data. J R Soc Interface 2019; 16:20180967. [PMID: 30940028 PMCID: PMC6505555 DOI: 10.1098/rsif.2018.0967] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Bayesian and non-Bayesian moment-based inference methods are commonly used to estimate the parameters defining stochastic models of gene regulatory networks from noisy single cell or population snapshot data. However, a systematic investigation of the accuracy of the predictions of these methods remains missing. Here, we present the results of such a study using synthetic noisy data of a negative auto-regulatory transcriptional feedback loop, one of the most common building blocks of complex gene regulatory networks. We study the error in parameter estimation as a function of (i) number of cells in each sample; (ii) the number of time points; (iii) the highest-order moment of protein fluctuations used for inference; (iv) the moment-closure method used for likelihood approximation. We find that for sample sizes typical of flow cytometry experiments, parameter estimation by maximizing the likelihood is as accurate as using Bayesian methods but with a much reduced computational time. We also show that the choice of moment-closure method is the crucial factor determining the maximum achievable accuracy of moment-based inference methods. Common likelihood approximation methods based on the linear noise approximation or the zero cumulants closure perform poorly for feedback loops with large protein-DNA binding rates or large protein bursts; this is exacerbated for highly heterogeneous cell populations. By contrast, approximating the likelihood using the linear-mapping approximation or conditional derivative matching leads to highly accurate parameter estimates for a wide range of conditions.
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150
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Croop B, Han KY. Facile single-molecule pull-down assay for analysis of endogenous proteins. Phys Biol 2019; 16:035002. [PMID: 30769341 DOI: 10.1088/1478-3975/ab0792] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
The single-molecule pull-down (SiMPull) assay analyzes molecular complexes in physiological conditions from cell or tissue lysates. Currently the approach requires a lengthy sample preparation process, which has largely prevented the widespread adoption of this technique in bioanalysis. Here, we present a simplified SiMPull assay based upon dichlorodimethylsilane-Tween-20 passivation and F(ab) fragment labeling. Our passivation is a much shorter process than the standard polyethylene glycol passivation used in most single-molecule studies. The use of F(ab) fragments for indirect fluorescent labeling rather than divalent F(ab')2 or whole IgG antibodies allows for the pre-incubation of the detection antibodies, reducing the sample preparation time for single-molecule immunoprecipitation samples. We examine the applicability of our approach to recombinant proteins and endogenous proteins from mammalian cell lysates.
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Affiliation(s)
- Benjamin Croop
- CREOL, The College of Optics and Photonics, University of Central Florida, Orlando, FL, United States of America
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