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Shi XM, Xu YT, Zhou BY, Wang B, Yu SY, Zhao WW, Jiang D, Chen HY, Xu JJ. Electrochemical Single-Cell Protein Therapeutics Using a Double-Barrel Nanopipette. Angew Chem Int Ed Engl 2023; 62:e202215801. [PMID: 36550087 DOI: 10.1002/anie.202215801] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 12/21/2022] [Accepted: 12/22/2022] [Indexed: 12/24/2022]
Abstract
Single-cell protein therapeutics is expected to promote our in-depth understanding of how a specific protein with a therapeutic dosage treats the cell without population averaging. However, it has not yet been tackled by current single-cell nanotools. We address this challenge by the use of a double-barrel nanopipette, in which one lumen was used for electroosmotic cytosolic protein delivery and the other was customized for ionic evaluation of the consequence. Upon injection of protein DJ-1 through the delivery lumen, upregulation of the antioxidant protein could protect neural PC-12 cells against oxidative stress from phorbol myristate acetate exposure, as deduced by targeting of the cytosolic hydrogen peroxide by the detecting lumen. The nanotool developed in this study for single-cell protein therapeutics provides a perspective for future single-cell therapeutics involving different therapeutic modalities, such as peptides, enzymes and nucleic acids.
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Affiliation(s)
- Xiao-Mei Shi
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, China
| | - Yi-Tong Xu
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, China
| | - Bing-Yu Zhou
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, China
| | - Bing Wang
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, China
| | - Si-Yuan Yu
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, China
| | - Wei-Wei Zhao
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, China
| | - Dechen Jiang
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, China
| | - Hong-Yuan Chen
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, China
| | - Jing-Juan Xu
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, China
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Wink K, van der Loh M, Hartner N, Polack M, Dusny C, Schmid A, Belder D. Quantification of Biocatalytic Transformations by Single Microbial Cells Enabled by Tailored Integration of Droplet Microfluidics and Mass Spectrometry. Angew Chem Int Ed Engl 2022; 61:e202204098. [PMID: 35511505 PMCID: PMC9401594 DOI: 10.1002/anie.202204098] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Indexed: 12/23/2022]
Abstract
Improving the performance of chemical transformations catalysed by microbial biocatalysts requires a deep understanding of cellular processes. While the cellular heterogeneity of cellular characteristics, such as the concentration of high abundant cellular content, is well studied, little is known about the reactivity of individual cells and its impact on the chemical identity, quantity, and purity of excreted products. Biocatalytic transformations were monitored chemically specific and quantifiable at the single-cell level by integrating droplet microfluidics, cell imaging, and mass spectrometry. Product formation rates for individual Saccharomyces cerevisiae cells were obtained by i) incubating nanolitre-sized droplets for product accumulation in microfluidic devices, ii) an imaging setup to determine the number of cells in the droplets, and iii) electrospray ionisation mass spectrometry for reading the chemical contents of individual droplets. These findings now enable the study of whole-cell biocatalysis at single-cell resolution.
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Affiliation(s)
- Konstantin Wink
- University of LeipzigInstitute of Analytical Chemistry04107LeipzigGermany
| | - Marie van der Loh
- University of LeipzigInstitute of Analytical Chemistry04107LeipzigGermany
| | - Nora Hartner
- University of LeipzigInstitute of Analytical Chemistry04107LeipzigGermany
| | - Matthias Polack
- University of LeipzigInstitute of Analytical Chemistry04107LeipzigGermany
| | - Christian Dusny
- Department Solar MaterialsHelmholtz Centre for Environmental Research (UFZ)04318LeipzigGermany
| | - Andreas Schmid
- Department Solar MaterialsHelmholtz Centre for Environmental Research (UFZ)04318LeipzigGermany
| | - Detlev Belder
- University of LeipzigInstitute of Analytical Chemistry04107LeipzigGermany
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Caruso FP, Garofano L, D'Angelo F, Yu K, Tang F, Yuan J, Zhang J, Cerulo L, Pagnotta SM, Bedognetti D, Sims PA, Suvà M, Su XD, Lasorella A, Iavarone A, Ceccarelli M. A map of tumor-host interactions in glioma at single-cell resolution. Gigascience 2020; 9:giaa109. [PMID: 33155039 PMCID: PMC7645027 DOI: 10.1093/gigascience/giaa109] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 08/08/2020] [Accepted: 09/17/2020] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Single-cell RNA sequencing is the reference technique for characterizing the heterogeneity of the tumor microenvironment. The composition of the various cell types making up the microenvironment can significantly affect the way in which the immune system activates cancer rejection mechanisms. Understanding the cross-talk signals between immune cells and cancer cells is of fundamental importance for the identification of immuno-oncology therapeutic targets. RESULTS We present a novel method, single-cell Tumor-Host Interaction tool (scTHI), to identify significantly activated ligand-receptor interactions across clusters of cells from single-cell RNA sequencing data. We apply our approach to uncover the ligand-receptor interactions in glioma using 6 publicly available human glioma datasets encompassing 57,060 gene expression profiles from 71 patients. By leveraging this large-scale collection we show that unexpected cross-talk partners are highly conserved across different datasets in the majority of the tumor samples. This suggests that shared cross-talk mechanisms exist in glioma. CONCLUSIONS Our results provide a complete map of the active tumor-host interaction pairs in glioma that can be therapeutically exploited to reduce the immunosuppressive action of the microenvironment in brain tumor.
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Affiliation(s)
- Francesca Pia Caruso
- Department of Electrical Engineering and Information Technology (DIETI), University of Naples “Federico II”, Via Claudio 21, 80128 Naples, Italy
- Bioinformatics Lab, BIOGEM, Via Camporeale, 83031 Ariano Irpino, Italy
| | - Luciano Garofano
- Department of Electrical Engineering and Information Technology (DIETI), University of Naples “Federico II”, Via Claudio 21, 80128 Naples, Italy
- Institute for Cancer Genetics, Columbia University, 1130 St Nicholas Ave, New York, NY 10032, USA
| | - Fulvio D'Angelo
- Bioinformatics Lab, BIOGEM, Via Camporeale, 83031 Ariano Irpino, Italy
- Institute for Cancer Genetics, Columbia University, 1130 St Nicholas Ave, New York, NY 10032, USA
| | - Kai Yu
- Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking University, 5 Yiheyuan Rd, Haidian District, 100871 Beijing, China
| | - Fuchou Tang
- Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking University, 5 Yiheyuan Rd, Haidian District, 100871 Beijing, China
| | - Jinzhou Yuan
- Department of Science and Technologies, Università degli Studi del Sannio, Via de Sanctis, 82100 Benevento, Italy
- Cancer Program, Sidra Medicine, Al Luqta Street, Zone 52, Education City, 26999, Doha Qatar
| | - Jing Zhang
- Institute for Cancer Genetics, Columbia University, 1130 St Nicholas Ave, New York, NY 10032, USA
| | - Luigi Cerulo
- Bioinformatics Lab, BIOGEM, Via Camporeale, 83031 Ariano Irpino, Italy
- Department of Science and Technologies, Università degli Studi del Sannio, Via de Sanctis, 82100 Benevento, Italy
| | - Stefano M Pagnotta
- Department of Science and Technologies, Università degli Studi del Sannio, Via de Sanctis, 82100 Benevento, Italy
| | - Davide Bedognetti
- Cancer Program, Sidra Medicine, Al Luqta Street, Zone 52, Education City, 26999, Doha Qatar
- Department of Internal Medicine and Medical Specialties (Di.M.I.), University of Genoa, Viale Benedetto XV 10, 16132 Genoa, Italy
| | - Peter A Sims
- Department of Systems Biology, Columbia University Irving Medical Center, 1130 St Nicholas Ave, New York , NY 10032, USA
- Department of Biochemistry and Molecular Biophysics, Columbia University Irving Medical Center, 1130 St Nicholas Ave, New York, NY 10032, USA
| | - Mario Suvà
- Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, 55 Fruit St, Boston, MA 02114, USA
- Broad Institute of Harvard and MIT, 415 Main St, Cambridge, MA 02142, USA
| | - Xiao-Dong Su
- Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking University, 5 Yiheyuan Rd, Haidian District, 100871 Beijing, China
| | - Anna Lasorella
- Institute for Cancer Genetics, Columbia University, 1130 St Nicholas Ave, New York, NY 10032, USA
- Department of Pathology and Cell Biology, Columbia University Medical Center, 1130 St Nicholas Ave, New York , NY 10032 USA
| | - Antonio Iavarone
- Institute for Cancer Genetics, Columbia University, 1130 St Nicholas Ave, New York, NY 10032, USA
- Department of Pathology and Cell Biology, Columbia University Medical Center, 1130 St Nicholas Ave, New York , NY 10032 USA
- Department of Neurology, Columbia University Medical Center, 1130 St Nicholas Ave, New York, NY 10032, USA
| | - Michele Ceccarelli
- Department of Electrical Engineering and Information Technology (DIETI), University of Naples “Federico II”, Via Claudio 21, 80128 Naples, Italy
- Bioinformatics Lab, BIOGEM, Via Camporeale, 83031 Ariano Irpino, Italy
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