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Reynolds DE, Pan M, Yang J, Galanis G, Roh YH, Morales RT, Kumar SS, Heo S, Xu X, Guo W, Ko J. Double Digital Assay for Single Extracellular Vesicle and Single Molecule Detection. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2303619. [PMID: 37802976 PMCID: PMC10667851 DOI: 10.1002/advs.202303619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Revised: 09/13/2023] [Indexed: 10/08/2023]
Abstract
Extracellular vesicles (EVs) have emerged as a promising source of biomarkers for disease diagnosis. However, current diagnostic methods for EVs present formidable challenges, given the low expression levels of biomarkers carried by EV samples, as well as their complex physical and biological properties. Herein, a highly sensitive double digital assay is developed that allows for the absolute quantification of individual molecules from a single EV. Because the relative abundance of proteins is low for a single EV, tyramide signal amplification (TSA) is integrated to increase the fluorescent signal readout for evaluation. With the integrative microfluidic technology, the technology's ability to compartmentalize single EVs is successfully demonstrated, proving the technology's digital partitioning capacity. Then the device is applied to detect single PD-L1 proteins from single EVs derived from a melanoma cell line and it is discovered that there are ≈2.7 molecules expressed per EV, demonstrating the applicability of the system for profiling important prognostic and diagnostic cancer biomarkers for therapy response, metastatic status, and tumor progression. The ability to accurately quantify protein molecules of rare abundance from individual EVs will shed light on the understanding of EV heterogeneity and discovery of EV subtypes as new biomarkers.
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Affiliation(s)
- David E. Reynolds
- Department of BioengineeringUniversity of PennsylvaniaPhiladelphiaPA19104USA
| | - Menghan Pan
- Department of BioengineeringUniversity of PennsylvaniaPhiladelphiaPA19104USA
| | - Jingbo Yang
- Department of Pathology and Laboratory MedicineUniversity of PennsylvaniaPhiladelphiaPA19104USA
| | - George Galanis
- Department of BioengineeringUniversity of PennsylvaniaPhiladelphiaPA19104USA
| | - Yoon Ho Roh
- Department of BioengineeringUniversity of PennsylvaniaPhiladelphiaPA19104USA
| | | | | | - Su‐Jin Heo
- Department of BioengineeringUniversity of PennsylvaniaPhiladelphiaPA19104USA
- Department of Orthopaedic SurgeryPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPA19104USA
| | - Xiaowei Xu
- Department of Pathology and Laboratory MedicineUniversity of PennsylvaniaPhiladelphiaPA19104USA
| | - Wei Guo
- Department of BiologySchool of Arts and SciencesUniversity of PennsylvaniaPhiladelphiaPA19104USA
| | - Jina Ko
- Department of BioengineeringUniversity of PennsylvaniaPhiladelphiaPA19104USA
- Department of Pathology and Laboratory MedicineUniversity of PennsylvaniaPhiladelphiaPA19104USA
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Paul R, Zhao Y, Coster D, Qin X, Islam K, Wu Y, Liu Y. Rapid prototyping of high-resolution large format microfluidic device through maskless image guided in-situ photopolymerization. Nat Commun 2023; 14:4520. [PMID: 37500653 PMCID: PMC10374892 DOI: 10.1038/s41467-023-40119-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 07/12/2023] [Indexed: 07/29/2023] Open
Abstract
Microfluidic devices have found extensive applications in mechanical, biomedical, chemical, and materials research. However, the high initial cost, low resolution, inferior feature fidelity, poor repeatability, rough surface finish, and long turn-around time of traditional prototyping methods limit their wider adoption. In this study, a strategic approach to a deterministic fabrication process based on in-situ image analysis and intermittent flow control called image-guided in-situ maskless lithography (IGIs-ML), has been proposed to overcome these challenges. By using dynamic image analysis and integrated flow control, IGIs-ML provides superior repeatability and fidelity of densely packed features across a large area and multiple devices. This general and robust approach enables the fabrication of a wide variety of microfluidic devices and resolves critical proximity effect and size limitations in rapid prototyping. The affordability and reliability of IGIs-ML make it a powerful tool for exploring the design space beyond the capabilities of traditional rapid prototyping.
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Affiliation(s)
- Ratul Paul
- Department of Mechanical Engineering and Mechanics, Lehigh University, Bethlehem, PA, 18015, USA
| | - Yuwen Zhao
- Department of Bioengineering, Lehigh University, Bethlehem, PA, 18015, USA
| | - Declan Coster
- Department of Electrical and Computer Engineering, Lehigh University, Bethlehem, PA, 18015, USA
| | - Xiaochen Qin
- Department of Bioengineering, Lehigh University, Bethlehem, PA, 18015, USA
| | - Khayrul Islam
- Department of Mechanical Engineering and Mechanics, Lehigh University, Bethlehem, PA, 18015, USA
| | - Yue Wu
- Department of Bioengineering, Lehigh University, Bethlehem, PA, 18015, USA
| | - Yaling Liu
- Department of Mechanical Engineering and Mechanics, Lehigh University, Bethlehem, PA, 18015, USA.
- Department of Bioengineering, Lehigh University, Bethlehem, PA, 18015, USA.
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Engineering Biological Tissues from the Bottom-Up: Recent Advances and Future Prospects. MICROMACHINES 2021; 13:mi13010075. [PMID: 35056239 PMCID: PMC8780533 DOI: 10.3390/mi13010075] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 12/24/2021] [Accepted: 12/28/2021] [Indexed: 02/06/2023]
Abstract
Tissue engineering provides a powerful solution for current organ shortages, and researchers have cultured blood vessels, heart tissues, and bone tissues in vitro. However, traditional top-down tissue engineering has suffered two challenges: vascularization and reconfigurability of functional units. With the continuous development of micro-nano technology and biomaterial technology, bottom-up tissue engineering as a promising approach for organ and tissue modular reconstruction has gradually developed. In this article, relevant advances in living blocks fabrication and assembly techniques for creation of higher-order bioarchitectures are described. After a critical overview of this technology, a discussion of practical challenges is provided, and future development prospects are proposed.
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