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Park JS, Hu J, Chen L, Wang TH. FlexPCR: A streamlined multiplexed digital mRNA quantification platform with universal primers and limited fluorescence channels. Biosens Bioelectron 2025; 277:117277. [PMID: 39987656 DOI: 10.1016/j.bios.2025.117277] [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: 11/26/2024] [Revised: 02/05/2025] [Accepted: 02/16/2025] [Indexed: 02/25/2025]
Abstract
Accurate quantification of multiple messenger RNA (mRNA) targets is essential for biomedical research and disease diagnosis. Current PCR-based methods for mRNA analysis are limited by the number of fluorescent labels and the complexities associated with multiple target-specific primers, leading to amplification bias and limited multiplexing capability. Here, we introduce Fluorescence-coding extension PCR (FlexPCR), a novel digital PCR-based assay that overcomes these limitations by employing a universal primer and probe strategy in conjugation with oligo extension. This method generates unique fluorescence-coded PCR templates for each mRNA target, enabling multiplexed detection using minimal fluorescence channels. FlexPCR simplifies assay design, reduces non-specific amplification, and enhances quantification accuracy. We demonstrate the efficacy by quantifying seven immune response mRNAs using only two fluorescence colors in various human total RNA samples. The results correlate strongly with gold-standard single-plex RT-qPCR, validating the accuracy of our method. FlexPCR offers a streamlined and scalable approach for multiplexed mRNA quantification with broad applications in gene expression analysis and molecular diagnostics.
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Affiliation(s)
- Joon Soo Park
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Jiumei Hu
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Liben Chen
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Tza-Huei Wang
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA; Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA; Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD, 21218, USA.
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2
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Kaur C, Adams S, Kibirige CN, Asquith B. Absolute quantification of rare gene targets in limited samples using crude lysate and ddPCR. Sci Rep 2025; 15:9744. [PMID: 40118926 PMCID: PMC11928631 DOI: 10.1038/s41598-025-94115-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2024] [Accepted: 03/11/2025] [Indexed: 03/24/2025] Open
Abstract
Accurate quantification of rare genes from limited clinical samples is crucial for research purposes but is technically challenging, especially due to nucleic acid extraction. Using the commercially available genomic DNA (gDNA) extraction kits, which mostly include a DNA purification step through silica columns, magnetic beads or ethanol precipitation, are the preferred choice for many researchers. These kits, however, have a minimum cell number requirement for optimal DNA quality and yield. They are not ideal for use for clinical samples with limited cell numbers. Here, we report the development and validation of a novel crude lysate method for preparing DNA for the absolute quantification of rare genes, TRECs in our case, by droplet digital PCR (ddPCR), from infrequent cells, that removes the need for DNA extraction. Multiple optimization steps and analytical validation of this novel assay was performed on PBMCs extracted from the blood of healthy donors. The newly developed assay shows good agreement with standard ddPCR and has high accuracy, specificity, and reproducibility; additionally, it can also be applied to fixed and permeabilized cells. The assay has the potential to be used for quantification of other trace targets from limited cell samples.
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Affiliation(s)
- Charandeep Kaur
- Department of Infectious Disease, Imperial College London, London, UK.
| | - Stuart Adams
- SIHMDS-Haematology, Great Ormond Street Hospital for Children, London, UK
| | | | - Becca Asquith
- Department of Infectious Disease, Imperial College London, London, UK
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3
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Wolfe MK, Varkila MRJ, Zulli A, Parsonnet J, Boehm AB. Detection and quantification of human immunodeficiency virus-1 (HIV-1) total nucleic acids in wastewater settled solids from two California communities. Appl Environ Microbiol 2024; 90:e0147724. [PMID: 39526804 DOI: 10.1128/aem.01477-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2024] [Accepted: 09/25/2024] [Indexed: 11/16/2024] Open
Abstract
Wastewater surveillance for infectious agents has proved useful in identifying the circulation of viruses within populations. We investigated the presence and concentration of human immunodeficiency virus (HIV)-1 total nucleic acids (including both viral RNA and proviral DNA) in wastewater solids. We retrospectively measured HIV-1 nucleic acids in two samples per week for 26 months at two wastewater treatment plants serving populations with different prevalences of HIV infections in San Francisco and Santa Clara County, California, USA. We detected HIV nucleic acids in a majority of samples with concentrations ranging from non-detect to 3.9 × 105 cp/g (N = 459 samples total). Concentrations of HIV-1 were significantly higher in samples from the wastewater treatment plant serving a population with a higher prevalence of people living with HIV than in the plant serving a population with a lower prevalence. The HIV-1 nucleic acids amplified were primarily DNA and thus represented proviral DNA shedding into wastewater. Additionally, we found that HIV-1 nucleic acid concentrations in wastewater solids were orders of magnitude higher than those in liquid wastewater indicating that the HIV-1 target preferentially sorbs to solids. Whether concentrations of HIV-1 in wastewater solids can be used to identify the number of incident cases remains unknown. Additional work on HIV-1 shedding from individuals with viremia and people living with HIV is needed to translate wastewater measurements into quantitative information on infections. Additional work may also be needed to document non-human sources of HIV-1 nucleic acids in wastewater. IMPORTANCE Human immunodeficiency virus (HIV)-1 has infected nearly 100 million people since it emerged in the 1980s. Antiretroviral therapy prevents transmission of HIV and also allows infected individuals to live healthy lives with normal life expectancy. Consequently, identifying unrecognized cases of HIV is of paramount importance. Since wastewater represents a composite biological sample from a community, it may provide valuable information on HIV-1 prevalence that can be used to inform HIV testing and outreach.
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Affiliation(s)
- Marlene K Wolfe
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Meri R J Varkila
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, California, USA
| | - Alessandro Zulli
- Department of Civil and Environmental Engineering, Stanford University, Stanford, California, USA
| | - Julie Parsonnet
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, California, USA
- Department of Epidemiology and Population Health, Stanford University, Stanford, California, USA
| | - Alexandria B Boehm
- Department of Civil and Environmental Engineering, Stanford University, Stanford, California, USA
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Galvez NMS, Sheehan ML, Lin AZ, Cao Y, Lam EC, Jackson AM, Balazs AB. QuickFit: A High-Throughput RT-qPCR-Based Assay to Quantify Viral Growth and Fitness In Vitro. Viruses 2024; 16:1320. [PMID: 39205294 PMCID: PMC11360610 DOI: 10.3390/v16081320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2024] [Revised: 08/14/2024] [Accepted: 08/15/2024] [Indexed: 09/04/2024] Open
Abstract
Quantifying viral growth rates is key to understanding evolutionary dynamics and the potential for mutants to escape antiviral drugs. Defining evolutionary escape paths and their impact on viral fitness allows for the development of drugs that are resistant to escape. In the case of HIV, combination antiretroviral therapy can successfully prevent or treat infection, but it relies on strict adherence to prevent escape. Here, we present a method termed QuickFit that enables the quantification of viral fitness by employing large numbers of parallel viral cultures to measure growth rates accurately. QuickFit consistently recapitulated HIV growth measurements obtained by traditional approaches, but with significantly higher throughput and lower rates of error. This method represents a promising tool for rapid and consistent evaluation of viral fitness.
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Affiliation(s)
| | | | | | | | | | | | - Alejandro B. Balazs
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, Harvard University, Cambridge, MA 02139, USA
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Ganjalizadeh V, Meena GG, Stott MA, Hawkins AR, Schmidt H. Machine learning at the edge for AI-enabled multiplexed pathogen detection. Sci Rep 2023; 13:4744. [PMID: 36959357 PMCID: PMC10034896 DOI: 10.1038/s41598-023-31694-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 03/15/2023] [Indexed: 03/25/2023] Open
Abstract
Multiplexed detection of biomarkers in real-time is crucial for sensitive and accurate diagnosis at the point of use. This scenario poses tremendous challenges for detection and identification of signals of varying shape and quality at the edge of the signal-to-noise limit. Here, we demonstrate a robust target identification scheme that utilizes a Deep Neural Network (DNN) for multiplex detection of single particles and molecular biomarkers. The model combines fast wavelet particle detection with Short-Time Fourier Transform analysis, followed by DNN identification on an AI-specific edge device (Google Coral Dev board). The approach is validated using multi-spot optical excitation of Klebsiella Pneumoniae bacterial nucleic acids flowing through an optofluidic waveguide chip that produces fluorescence signals of varying amplitude, duration, and quality. Amplification-free 3× multiplexing in real-time is demonstrated with excellent specificity, sensitivity, and a classification accuracy of 99.8%. These results show that a minimalistic DNN design optimized for mobile devices provides a robust framework for accurate pathogen detection using compact, low-cost diagnostic devices.
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Affiliation(s)
- Vahid Ganjalizadeh
- School of Engineering, University of California, Santa Cruz, 1156 High Street, Santa Cruz, CA, 95064, USA
| | - Gopikrishnan G Meena
- School of Engineering, University of California, Santa Cruz, 1156 High Street, Santa Cruz, CA, 95064, USA
| | - Matthew A Stott
- Electrical and Computer Engineering Department, Brigham Young University, Provo, UT, 84602, USA
| | - Aaron R Hawkins
- Electrical and Computer Engineering Department, Brigham Young University, Provo, UT, 84602, USA
| | - Holger Schmidt
- School of Engineering, University of California, Santa Cruz, 1156 High Street, Santa Cruz, CA, 95064, USA.
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Malisa J, Manak M, Michelo C, Imami N, Kibirige CN. Use of laboratory-developed assays in global HIV-1 treatment-monitoring and research. Sci Rep 2023; 13:4578. [PMID: 36941272 PMCID: PMC10026793 DOI: 10.1038/s41598-023-31103-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 03/06/2023] [Indexed: 03/23/2023] Open
Abstract
There has been a surge in the emergence of HIV-1 drug resistance in Low and Middle-Income Countries (LMICs) due to poor drug-adherence and limited access to viral load testing, the current standard for treatment-monitoring. It is estimated that only 75% of people living with HIV (PLWH) worldwide have access to viral load testing. In LMICs, this figure is below 50%. In a recent WHO survey in mostly LMICs, 21 out of 30 countries surveyed found HIV-1 first-line pre-treatment drug resistance in over 10% of study participants. In the worst-affected regions, up to 68% of infants born to HIV-1 positive mothers were found to harbour first-line HIV-1 treatment resistance. This is a huge public health concern. Greater access to treatment-monitoring is required in LMICs if the UNAIDS "third 95" targets are to be achieved by 2030. Here, we review the current challenges of viral load testing and present the case for greater utilization of Laboratory-based assays that quantify intracellular HIV-1 RNA and/or DNA to provide broader worldwide access to HIV-1 surveillance, drug-resistance monitoring, and cure-research.
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Affiliation(s)
- Jemima Malisa
- IAVI, Human Immunology Laboratory, Imperial College London, Chelsea and Westminster NHS Foundation Trust, 369 Fulham Road, London, SW10 9NH, UK
| | - Mark Manak
- Turesol Consulting, King of Prussia, PA, USA
| | | | - Nesrina Imami
- Centre for Immunology and Vaccinology, Imperial College London, Chelsea and Westminster NHS Foundation Trust, 369 Fulham Road, London, SW10 9NH, UK
| | - Catherine N Kibirige
- IAVI, Human Immunology Laboratory, Imperial College London, Chelsea and Westminster NHS Foundation Trust, 369 Fulham Road, London, SW10 9NH, UK.
- Centre for Immunology and Vaccinology, Imperial College London, Chelsea and Westminster NHS Foundation Trust, 369 Fulham Road, London, SW10 9NH, UK.
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Sokhela S, Lalla-Edward S, Siedner MJ, Majam M, Venter WDF. Roadmap for Achieving Universal Antiretroviral Treatment. Annu Rev Pharmacol Toxicol 2023; 63:99-117. [PMID: 36662580 PMCID: PMC10807407 DOI: 10.1146/annurev-pharmtox-052020-094321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Modern antiretroviral therapy safely, potently, and durably suppresses human immunodeficiency virus (HIV) that, if left untreated, predictably causes acquired immunodeficiency syndrome (AIDS), which has been responsible for tens of millions of deaths globally since it was described in 1981. In one of the most extraordinary medical success stories in modern times, a combination of pioneering basic science, innovative drug development, and ambitious public health programming resulted in access to lifesaving, safe drugs, taken as an oral tablet daily, for most of the world. However, substantial challenges remain in the fields of prevention, timely access to diagnosis, and treatment, especially in pediatric and adolescent patients. As HIV-positive adults age, treating their comorbidities will require understanding the course of different chronic diseases complicated by HIV-related and antiretroviral toxicities and finding potential treatments. Finally, new long-acting antiretrovirals on the horizon promise exciting new options in both the prevention and treatment fields.
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Affiliation(s)
- Simiso Sokhela
- Ezintsha, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa;
| | - Samanta Lalla-Edward
- Ezintsha, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa;
| | - Mark J Siedner
- Harvard Medical School and Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Mohammed Majam
- Ezintsha, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa;
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Ngo HT, Jin M, Trick AY, Chen FE, Chen L, Hsieh K, Wang TH. Sensitive and Quantitative Point-of-Care HIV Viral Load Quantification from Blood Using a Power-Free Plasma Separation and Portable Magnetofluidic Polymerase Chain Reaction Instrument. Anal Chem 2023; 95:1159-1168. [PMID: 36562405 PMCID: PMC11250783 DOI: 10.1021/acs.analchem.2c03897] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Point-of-care (POC) HIV viral load (VL) tests are needed to enhance access to HIV VL testing in low- and middle-income countries (LMICs) and to enable HIV VL self-testing at home, which in turn have the potential to enhance the global management of the disease. While methods based on real-time reverse transcription-polymerase chain reaction (RT-PCR) are highly sensitive and quantitatively accurate, they often require bulky and expensive instruments, making applications at the POC challenging. On the other hand, although methods based on isothermal amplification techniques could be performed using low-cost instruments, they have shown limited quantitative accuracies, i.e., being only semiquantitative. Herein, we present a sensitive and quantitative POC HIV VL quantification method from blood that can be performed using a small power-free three-dimensional-printed plasma separation device and a portable, low-cost magnetofluidic real-time RT-PCR instrument. The plasma separation device, which is composed of a plasma separation membrane and an absorbent material, demonstrated 96% plasma separation efficiency per 100 μL of whole blood. The plasma solution was then processed in a magnetofluidic cartridge for automated HIV RNA extraction and quantification using the portable instrument, which completed 50 cycles of PCR in 15 min. Using the method, we achieved a limit of detection of 500 HIV RNA copies/mL, which is below the World Health Organization's virological failure threshold, and a good quantitative accuracy. The method has the potential for sensitive and quantitative HIV VL testing at the POC and at home self-testing.
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Affiliation(s)
- Hoan T Ngo
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Mei Jin
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Alexander Y Trick
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Fan-En Chen
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Liben Chen
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Kuangwen Hsieh
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Tza-Huei Wang
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
- Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, Maryland 21218, United States
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Abstract
Nucleic acids are paving the way for advanced therapeutics. Unveiling the genome enabled a better understanding of unique genotype-phenotype profiling. Methods for engineering and analysis of nucleic acids, from polymerase chain reaction to Cre-Lox recombination, are contributing greatly to biomarkers' discovery, mapping of cellular signaling cascades, and smart design of therapeutics in precision medicine. Investigating the different subtypes of DNA and RNA via sequencing and profiling is empowering the scientific community with valuable information, to be used in advanced therapeutics, tracking epigenetics linked to disease. Recent results from the application of nucleic acids in novel therapeutics and precision medicine are very encouraging, demonstrating great potential to treat cancer, viral infections via inoculation (e.g., SAR-COV-2 mRNA vaccines), along with metabolic and genetic disorders. Limitations posed by challenges in delivery mode are being addressed to enable efficient guided-gene-programmed precision therapies. With the focus on genetic engineering and novel therapeutics, more precisely, in precision medicine, this chapter discusses the advance enabled by knowledge derived from these innovative branches of biotechnology.
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Evaluation of a Quantitative Taqman Real-Time PCR Assay to Measure Proviral load from Human Immunodeficiency Virus Type 1 individuals. JOURNAL OF PURE AND APPLIED MICROBIOLOGY 2022. [DOI: 10.22207/jpam.16.2.34] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Human Immunodeficiency Virus (HIV) is a virus belonging to the family Retroviridae. HIV – 1 is found to be predominant in India and many parts of Africa. The intention of this study was to quantify the HIV Proviral Deoxyribonucleic Acid (DNA) from newly infected HIV-1 individuals. Fifty patients who were tested positive for HIV were included in this study. Proviral Ribo Nucleic Acid (RNA) was extracted by QIAmp® RNA Mini Kit (QIAGEN, Germany) method. Complementary Deoxyribo Nucleic Acid (cDNA) was synthesized by using Invitrogen Superscript III cDNA synthesis Kit (USA). This cDNA was subjected to Polymerase Chain Reaction (PCR) and Gene cloning by transformation method. The quantification of Real time PCR was done by Applied Bio-System (ABI)-Prism 7700. A linear standard curve was obtained 10 copies to 106 copies per reaction. The assay had good analytic sensitivity and linear dynamic range greater than 6 logs. From the results obtained in this study, It was concluded that Taqman Real-Time PCR Assay plays a major role in monitoring the HIV infected patients in routine diagnostics and clinical practice.
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