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Dai L, Johnson-Buck A, Laird PW, Tewari M, Walter NG. Ultrasensitive amplification-free quantification of a methyl CpG-rich cancer biomarker by single-molecule kinetic fingerprinting. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.06.587997. [PMID: 38645159 PMCID: PMC11030368 DOI: 10.1101/2024.04.06.587997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
The most well-studied epigenetic marker in humans is the 5-methyl modification of cytosine in DNA, which has great potential as a disease biomarker in liquid biopsies of cell-free DNA. Currently, quantification of DNA methylation relies heavily on bisulfite conversion followed by PCR amplification and NGS or microarray analysis. PCR is subject to potential bias in differential amplification of bisulfite-converted methylated versus unmethylated sequences. Here, we combine bisulfite conversion with single-molecule kinetic fingerprinting to develop an amplification-free assay for DNA methylation at the branched-chain amino acid transaminase 1 (BCAT1) promoter. Our assay selectively responds to methylated sequences with a limit of detection below 1 fM and a specificity of 99.9999%. Evaluating complex genomic DNA matrices, we reliably distinguish 2-5% DNA methylation at the BCAT1 promoter in whole blood DNA from completely unmethylated whole-genome amplified DNA. Taken together, these results demonstrate the feasibility and sensitivity of our amplification-free, single-molecule quantification approach to improve the early detection of methylated cancer DNA biomarkers.
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Affiliation(s)
- Liuhan Dai
- Single Molecule Analysis Group, Department of Chemistry, University of Michigan, Ann Arbor, MI 48109, USA
- Center for RNA Biomedicine, University of Michigan, Ann Arbor, MI 48109, USA
| | - Alexander Johnson-Buck
- Single Molecule Analysis Group, Department of Chemistry, University of Michigan, Ann Arbor, MI 48109, USA
| | - Peter W. Laird
- Department of Epigenetics, Van Andel Institute, Grand Rapids, MI, 49503, USA
| | - Muneesh Tewari
- Center for RNA Biomedicine, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Internal Medicine, Division of Hematology/Oncology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Nils G. Walter
- Single Molecule Analysis Group, Department of Chemistry, University of Michigan, Ann Arbor, MI 48109, USA
- Center for RNA Biomedicine, University of Michigan, Ann Arbor, MI 48109, USA
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2
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Liu M, Zhong N, Zhang L, Zhang Q, Tian X, Ma F, Zhang CY. Single probe-based catalytic quantum dot FRET nanosensor for human alkyladenine DNA glycosylase detection. Talanta 2024; 266:125089. [PMID: 37604071 DOI: 10.1016/j.talanta.2023.125089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 08/11/2023] [Accepted: 08/17/2023] [Indexed: 08/23/2023]
Abstract
Human alkyladenine DNA glycosylase (hAAG) is essential for repairing alkylated and deaminated bases, and it has become a prospective diagnosis biomarker and a therapeutic target for disease treatment. However, most of hAAG assays suffer from complicated reaction scheme, poor specificity, long assay time, and limited sensitivity. Herein, we report a novel single probe-based catalytic quantum dot (QD) Förster resonance energy transfer (FRET) nanosensor for simple and sensitive detection of hAAG activity. In this assay, hAAG induces the generation of 3' OH terminus via the excision of I base and the cleavage of AP site by APE1, subsequently initiating strand displacement reaction to produce numerous ssDNA signal probes. These probes can self-assemble on the QD surface to induce efficient FRET between QD and Cy5. This assay is very simple with the involvement of only a single probe for the achievement of both specific sensing and efficient signal amplification. Moreover, each signal probe contains multiple Cy5 moieties, and multiple signal probes can assemble on a single QD to greatly enhance the FRET efficiency. This nanosensor exhibits a detection limit of 3.60 × 10-10 U/μL and it is suitable for measuring enzymatic kinetics, screening inhibitor, and quantifying cellular hAAG activity with single-cell sensitivity.
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Affiliation(s)
- Meng Liu
- College of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University, Jinan, 250014, China
| | - Nan Zhong
- College of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University, Jinan, 250014, China
| | - Lingfei Zhang
- Center for Disease Control and Prevention of Weihai City, Weihai, 264200, China
| | - Qian Zhang
- College of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University, Jinan, 250014, China
| | - Xiaorui Tian
- College of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University, Jinan, 250014, China
| | - Fei Ma
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China.
| | - Chun-Yang Zhang
- College of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University, Jinan, 250014, China; School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China.
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3
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Li Q, Qiang W, Yuan J, Xiao L. Nanoparticle-Coupled Single-Molecule Kinetic Fingerprinting for Enzymatic Activity Detection. Anal Chem 2023; 95:7796-7803. [PMID: 37129996 DOI: 10.1021/acs.analchem.3c01385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
The sensitive and accurate detection of biomarkers plays an important role in clinical diagnosis and drug discovery. Currently, amplification-based methods for biomarker detection are widely explored. However, the key challenges of these methods are limited reproducibility and high background noise. To overcome these limitations, we develop a robust plasmonic nanoparticle-coupled single-molecule kinetic fingerprinting (PNP-SMKF) method to achieve ultrasensitive detection of protein kinase A (PKA). Transient binding of a short fluorescent probe with the genuine target produces a distinct kinetic signature that is completely different from that of the background signal, allowing us to recognize PKA sensitively. Importantly, integrating a plasmonic nanoparticle efficiently breaks the concentration limit of the imager strand for single-molecule imaging, thus achieving a much faster imaging speed. A limit of detection (LOD) of as low as 0.0005 U/mL is readily realized. This method holds great potential as a versatile platform for enzyme detection and inhibitor screening in the future.
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Affiliation(s)
- Qingnan Li
- College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China
- College of Chemistry, Nankai University, Tianjin 300071, China
| | - Wenzhi Qiang
- College of Chemistry, Nankai University, Tianjin 300071, China
| | - Jie Yuan
- School of Chemistry and Chemical Engineering, Henan Normal University, Xinxiang 453007, China
| | - Lehui Xiao
- College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China
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Lyu Y, An L, Zeng H, Zheng F, Guo J, Zhang P, Yang H, Li H. First-passage time analysis of diffusion-controlled reactions in single-molecule detection. Talanta 2023; 260:124569. [PMID: 37116360 DOI: 10.1016/j.talanta.2023.124569] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 03/21/2023] [Accepted: 04/16/2023] [Indexed: 04/30/2023]
Abstract
Single-molecule detection (SMD) aims to achieve the ultimate limit-of-detection (LOD) in biosensing. This method detects a countable number of targeted analyte molecules in solution, where the dynamics of molecule diffusion, capturing, identification and delivery greatly impact the SMD's efficiency and accuracy. In this study, we adopt the first-passage time method to investigate the diffusion-controlled reaction process in SMD. We analyze the influence of detection conditions on incubation time and the expected coefficient of variation (CV) under three SMD molecule capturing strategies, including solid-phase capturing (one-dimensional solid-liquid interface fixation), liquid-phase magnetic bead (MB) capturing, and liquid-phase direct fluorescence pair labeling. We find that inside a finite-sized reaction chamber, a finite average reaction time exists in all three capturing strategies, while the liquid-phase strategies are in general more efficient than the solid-phase approaches. CV can be estimated by averaging first-passage time solely in all three strategies, and the CV reduction is achievable given an extended reaction time. To further enable zeptomolar detection, extra treatments, such as adopting liquid-phase fluorescence pairs with high diffusion rates to label the molecule, or designing specific sensing devices with large effective sensing areas would be required. This framework provides solid theoretical support to guide the design of SMD sensing strategies and sensor structures to achieve desired measurement time and CV.
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Affiliation(s)
- Yingkai Lyu
- National Innovation Center for Advanced Medical Devices, Shenzhen, China; Bionic Sensing and Intelligence Center, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Lixiang An
- National Innovation Center for Advanced Medical Devices, Shenzhen, China
| | - Huaiyang Zeng
- National Innovation Center for Advanced Medical Devices, Shenzhen, China; Bionic Sensing and Intelligence Center, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Feng Zheng
- National Innovation Center for Advanced Medical Devices, Shenzhen, China
| | - Jiajia Guo
- Bionic Sensing and Intelligence Center, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Pengcheng Zhang
- Bionic Sensing and Intelligence Center, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Hui Yang
- Bionic Sensing and Intelligence Center, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Hao Li
- National Innovation Center for Advanced Medical Devices, Shenzhen, China.
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Li Z, McNeely M, Sandford E, Tewari M, Johnson-Buck A, Walter NG. Attomolar Sensitivity in Single Biomarker Counting upon Aqueous Two-Phase Surface Enrichment. ACS Sens 2022; 7:1419-1430. [PMID: 35438959 DOI: 10.1021/acssensors.2c00135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
From longstanding techniques like enzyme-linked immunosorbent assay (ELISA) to modern next-generation sequencing, many of the most sensitive and specific biomarker detection assays require capture of the analyte at a surface. While surface-based assays provide advantages, including the ability to reduce background by washing away excess reagents and/or increase specificity through analyte-specific capture probes, the limited efficiency of capture from dilute solution often restricts assay sensitivity to the femtomolar-to-nanomolar range. Although assays for many nucleic acid analytes can decrease limits of detection (LODs) to the subfemtomolar range using polymerase chain reaction, such amplification may introduce biases, errors, and an increased risk of sample cross-contamination. Furthermore, many analytes cannot be amplified easily, including short nucleic acid fragments, epigenetic modifications, and proteins. To address the challenge of achieving subfemtomolar LODs in surface-based assays without amplification, we exploit an aqueous two-phase system (ATPS) to concentrate target molecules in a smaller-volume phase near the assay surface, thus increasing capture efficiency compared to passive diffusion from the original solution. We demonstrate the utility of ATPS-enhanced capture via single molecule recognition through equilibrium Poisson sampling (SiMREPS), a microscopy technique previously shown to possess >99.9999% detection specificity for DNA mutations but an LOD of only ∼1-5 fM. By combining ATPS-enhanced capture with a Förster resonance energy transfer (FRET)-based probe design for rapid data acquisition over many fields of view, we improve the LOD ∼ 300-fold to <10 aM for an EGFR exon 19 deletion mutation. We further validate this ATPS-assisted FRET-SiMREPS assay by detecting endogenous exon 19 deletion molecules in cancer patient blood plasma.
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Affiliation(s)
- Zi Li
- Single Molecule Analysis Group, Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Molly McNeely
- Single Molecule Analysis Group, Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Erin Sandford
- Department of Internal Medicine, Division of Hematology/Oncology, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Muneesh Tewari
- Department of Internal Medicine, Division of Hematology/Oncology, University of Michigan, Ann Arbor, Michigan 48109, United States
- Center for RNA Biomedicine, University of Michigan, Ann Arbor, Michigan 48109, United States
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
- Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Alexander Johnson-Buck
- Single Molecule Analysis Group, Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States
- Department of Internal Medicine, Division of Hematology/Oncology, University of Michigan, Ann Arbor, Michigan 48109, United States
- Center for RNA Biomedicine, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Nils G. Walter
- Single Molecule Analysis Group, Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States
- Center for RNA Biomedicine, University of Michigan, Ann Arbor, Michigan 48109, United States
- Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, United States
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6
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A guide to accelerated direct digital counting of single nucleic acid molecules by FRET-based intramolecular kinetic fingerprinting. Methods 2022; 197:63-73. [PMID: 34182140 PMCID: PMC8709879 DOI: 10.1016/j.ymeth.2021.06.014] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 06/21/2021] [Accepted: 06/23/2021] [Indexed: 01/03/2023] Open
Abstract
Cell-free nucleic acids (cfNAs) such as short non-coding microRNA (miRNA) and circulating tumor DNA (ctDNA) that reside in bodily fluids have emerged as potential cancer biomarkers. Methods for the rapid, highly specific, and sensitive monitoring of cfNAs in biofluids have, therefore, become increasingly attractive as clinical diagnosis tools. As a next generation technology, we provide a practical guide for an amplification-free, single molecule Förster resonance energy transfer (smFRET)-based kinetic fingerprinting approach termed intramolecular single molecule recognition through equilibrium Poisson sampling, or iSiMREPS, for the rapid detection and counting of miRNA and mutant ctDNA with virtually unlimited specificity and single molecule sensitivity. iSiMREPS utilizes a pair of fluorescent detection probes, wherein one probe immobilizes the target molecules on the surface, and the other probe transiently and reversibly binds to the target to generate characteristic time-resolved fingerprints as smFRET signal that are detected in a total internal reflection fluorescence microscope. Analysis of these kinetic fingerprints enables near-perfect discrimination between specific binding to target molecules and nonspecific background binding. By accelerating kinetic fingerprinting using the denaturant formamide and reducing background signals by removing target-less probes from the surface via toehold-mediated strand displacement, iSiMREPS has been demonstrated to count miR-141 and EGFR exon 19 deletion ctDNA molecules with a limit of detection (LOD) of ~1 and 3 fM, respectively, as well as mutant allele fractions as low as 0.0001%, during a standard acquisition time of only ~10 s per field of view. In this review, we provide a detailed roadmap for implementing iSiMREPS more broadly in research and clinical diagnostics, combining rapid analysis, high specificity, and high sensitivity.
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7
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Fu S, Zhang T, Jiang H, Xu Y, Chen J, Zhang L, Su X. DNA nanotechnology enhanced single-molecule biosensing and imaging. Trends Analyt Chem 2021. [DOI: 10.1016/j.trac.2021.116267] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Cheng X, Yin W. Probing Biosensing Interfaces With Single Molecule Localization Microscopy (SMLM). Front Chem 2021; 9:655324. [PMID: 33996750 PMCID: PMC8117217 DOI: 10.3389/fchem.2021.655324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 03/16/2021] [Indexed: 11/23/2022] Open
Abstract
Far field single molecule localization microscopy (SMLM) has been established as a powerful tool to study biological structures with resolution far below the diffraction limit of conventional light microscopy. In recent years, the applications of SMLM have reached beyond traditional cellular imaging. Nanostructured interfaces are enriched with information that determines their function, playing key roles in applications such as chemical catalysis and biological sensing. SMLM enables detailed study of interfaces at an individual molecular level, allowing measurements of reaction kinetics, and detection of rare events not accessible to ensemble measurements. This paper provides an update to the progress made to the use of SMLM in characterizing nanostructured biointerfaces, focusing on practical aspects, recent advances, and emerging opportunities from an analytical chemistry perspective.
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Affiliation(s)
- Xiaoyu Cheng
- State Key Laboratory for Modern Optical Instrumentations, National Engineering Research Center of Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, China
| | - Wei Yin
- Core Facilities, School of Medicine, Zhejiang University, Hangzhou, China
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9
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Mandal S, Li Z, Chatterjee T, Khanna K, Montoya K, Dai L, Petersen C, Li L, Tewari M, Johnson-Buck A, Walter NG. Direct Kinetic Fingerprinting for High-Accuracy Single-Molecule Counting of Diverse Disease Biomarkers. Acc Chem Res 2021; 54:388-402. [PMID: 33382587 DOI: 10.1021/acs.accounts.0c00621] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Methods for detecting and quantifying disease biomarkers in biofluids with high specificity and sensitivity play a pivotal role in enabling clinical diagnostics, including point-of-care tests. The most widely used molecular biomarkers include proteins, nucleic acids, hormones, metabolites, and other small molecules. While numerous methods have been developed for analyzing biomarkers, most techniques are challenging to implement for clinical use due to insufficient analytical performance, high cost, and/or other practical shortcomings. For instance, the detection of cell-free nucleic acid (cfNA) biomarkers by digital PCR and next-generation sequencing (NGS) requires time-consuming nucleic acid extraction steps, often introduces enzymatic amplification bias, and can be costly when high specificity is required. While several amplification-free methods for detecting cfNAs have been reported, these techniques generally suffer from low specificity and sensitivity. Meanwhile, the quantification of protein biomarkers is generally performed using immunoassays such as enzyme-linked immunosorbent assay (ELISA); the analytical performance of these methods is often limited by the availability of antibodies with high affinity and specificity as well as the significant nonspecific binding of antibodies to assay surfaces. To address the drawbacks of existing biomarker detection methods and establish a universal diagnostics platform capable of detecting different types of analytes, we have developed an amplification-free approach, named single-molecule recognition through equilibrium Poisson sampling (SiMREPS), for the detection of diverse biomarkers with arbitrarily high specificity and single-molecule sensitivity. SiMREPS utilizes the transient, reversible binding of fluorescent detection probes to immobilized target molecules to generate kinetic fingerprints that are detected by single-molecule fluorescence microscopy. The analysis of these kinetic fingerprints enables nearly perfect discrimination between specific binding to target molecules and any nonspecific binding. Early proof-of-concept studies demonstrated the in vitro detection of miRNAs with a limit of detection (LOD) of approximately 1 fM and >500-fold selectivity for single-nucleotide polymorphisms. The SiMREPS approach was subsequently expanded to the detection of rare mutant DNA alleles from biofluids at mutant allele fractions of as low as 1 in 1 million, corresponding to a specificity of >99.99999%. Recently, SiMREPS was generalized to protein quantification using dynamically binding antibody probes, permitting LODs in the low-femtomolar to attomolar range. Finally, SiMREPS has been demonstrated to be suitable for the in situ detection of miRNAs in cultured cells, the quantification of small-molecule toxins and drugs, and the monitoring of telomerase activity at the single-molecule level. In this Account, we discuss the principles of SiMREPS for the highly specific and sensitive detection of molecular analytes, including considerations for assay design. We discuss the generality of SiMREPS for the detection of very disparate analytes and provide an overview of data processing methods, including the expansion of the dynamic range using super-resolution analysis and the improvement of performance using deep learning algorithms. Finally, we describe current challenges, opportunities, and future directions for the SiMREPS approach.
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Huang Q, Li N, Zhang H, Che C, Sun F, Xiong Y, Canady TD, Cunningham BT. Critical Review: digital resolution biomolecular sensing for diagnostics and life science research. LAB ON A CHIP 2020; 20:2816-2840. [PMID: 32700698 PMCID: PMC7485136 DOI: 10.1039/d0lc00506a] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
One of the frontiers in the field of biosensors is the ability to quantify specific target molecules with enough precision to count individual units in a test sample, and to observe the characteristics of individual biomolecular interactions. Technologies that enable observation of molecules with "digital precision" have applications for in vitro diagnostics with ultra-sensitive limits of detection, characterization of biomolecular binding kinetics with a greater degree of precision, and gaining deeper insights into biological processes through quantification of molecules in complex specimens that would otherwise be unobservable. In this review, we seek to capture the current state-of-the-art in the field of digital resolution biosensing. We describe the capabilities of commercially available technology platforms, as well as capabilities that have been described in published literature. We highlight approaches that utilize enzymatic amplification, nanoparticle tags, chemical tags, as well as label-free biosensing methods.
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Affiliation(s)
- Qinglan Huang
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 208 North Wright Street, Urbana, IL 61801
- Holonyak Micro and Nanotechnology Laboratory, University of Illinois at Urbana–Champaign, Urbana, IL 61801
| | - Nantao Li
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 208 North Wright Street, Urbana, IL 61801
- Holonyak Micro and Nanotechnology Laboratory, University of Illinois at Urbana–Champaign, Urbana, IL 61801
| | - Hanyuan Zhang
- Holonyak Micro and Nanotechnology Laboratory, University of Illinois at Urbana–Champaign, Urbana, IL 61801
| | - Congnyu Che
- Holonyak Micro and Nanotechnology Laboratory, University of Illinois at Urbana–Champaign, Urbana, IL 61801
- Department of Bioengineering, University of Illinois at Urbana–Champaign, Urbana, IL 61801
| | - Fu Sun
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 208 North Wright Street, Urbana, IL 61801
- Holonyak Micro and Nanotechnology Laboratory, University of Illinois at Urbana–Champaign, Urbana, IL 61801
| | - Yanyu Xiong
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 208 North Wright Street, Urbana, IL 61801
- Holonyak Micro and Nanotechnology Laboratory, University of Illinois at Urbana–Champaign, Urbana, IL 61801
| | - Taylor D. Canady
- Holonyak Micro and Nanotechnology Laboratory, University of Illinois at Urbana–Champaign, Urbana, IL 61801
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana–Champaign, Urbana, IL 61801
| | - Brian T. Cunningham
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 208 North Wright Street, Urbana, IL 61801
- Holonyak Micro and Nanotechnology Laboratory, University of Illinois at Urbana–Champaign, Urbana, IL 61801
- Department of Bioengineering, University of Illinois at Urbana–Champaign, Urbana, IL 61801
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana–Champaign, Urbana, IL 61801
- Illinois Cancer Center, University of Illinois at Urbana-Champaign Urbana, IL 61801
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