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Alexandrou G, Mantikas KT, Allsopp R, Yapeter CA, Jahin M, Melnick T, Ali S, Coombes RC, Toumazou C, Shaw JA, Kalofonou M. The Evolution of Affordable Technologies in Liquid Biopsy Diagnostics: The Key to Clinical Implementation. Cancers (Basel) 2023; 15:5434. [PMID: 38001698 PMCID: PMC10670715 DOI: 10.3390/cancers15225434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 11/01/2023] [Accepted: 11/08/2023] [Indexed: 11/26/2023] Open
Abstract
Cancer remains a leading cause of death worldwide, despite many advances in diagnosis and treatment. Precision medicine has been a key area of focus, with research providing insights and progress in helping to lower cancer mortality through better patient stratification for therapies and more precise diagnostic techniques. However, unequal access to cancer care is still a global concern, with many patients having limited access to diagnostic tests and treatment regimens. Noninvasive liquid biopsy (LB) technology can determine tumour-specific molecular alterations in peripheral samples. This allows clinicians to infer knowledge at a DNA or cellular level, which can be used to screen individuals with high cancer risk, personalize treatments, monitor treatment response, and detect metastasis early. As scientific understanding of cancer pathology increases, LB technologies that utilize circulating tumour DNA (ctDNA) and circulating tumour cells (CTCs) have evolved over the course of research. These technologies incorporate tumour-specific markers into molecular testing platforms. For clinical translation and maximum patient benefit at a wider scale, the accuracy, accessibility, and affordability of LB tests need to be prioritized and compared with gold standard methodologies in current use. In this review, we highlight the range of technologies in LB diagnostics and discuss the future prospects of LB through the anticipated evolution of current technologies and the integration of emerging and novel ones. This could potentially allow a more cost-effective model of cancer care to be widely adopted.
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Affiliation(s)
- George Alexandrou
- Centre For Bio-Inspired Technology, Department of Electrical & Electronic Engineering, Imperial College London, London SW7 2BT, UK; (K.-T.M.); (C.A.Y.); (M.J.); (T.M.); (C.T.)
| | - Katerina-Theresa Mantikas
- Centre For Bio-Inspired Technology, Department of Electrical & Electronic Engineering, Imperial College London, London SW7 2BT, UK; (K.-T.M.); (C.A.Y.); (M.J.); (T.M.); (C.T.)
| | - Rebecca Allsopp
- Leicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, Leicester LE2 7LX, UK; (R.A.); (J.A.S.)
| | - Calista Adele Yapeter
- Centre For Bio-Inspired Technology, Department of Electrical & Electronic Engineering, Imperial College London, London SW7 2BT, UK; (K.-T.M.); (C.A.Y.); (M.J.); (T.M.); (C.T.)
| | - Myesha Jahin
- Centre For Bio-Inspired Technology, Department of Electrical & Electronic Engineering, Imperial College London, London SW7 2BT, UK; (K.-T.M.); (C.A.Y.); (M.J.); (T.M.); (C.T.)
| | - Taryn Melnick
- Centre For Bio-Inspired Technology, Department of Electrical & Electronic Engineering, Imperial College London, London SW7 2BT, UK; (K.-T.M.); (C.A.Y.); (M.J.); (T.M.); (C.T.)
| | - Simak Ali
- Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, UK; (S.A.); (R.C.C.)
| | - R. Charles Coombes
- Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, UK; (S.A.); (R.C.C.)
| | - Christofer Toumazou
- Centre For Bio-Inspired Technology, Department of Electrical & Electronic Engineering, Imperial College London, London SW7 2BT, UK; (K.-T.M.); (C.A.Y.); (M.J.); (T.M.); (C.T.)
| | - Jacqueline A. Shaw
- Leicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, Leicester LE2 7LX, UK; (R.A.); (J.A.S.)
| | - Melpomeni Kalofonou
- Centre For Bio-Inspired Technology, Department of Electrical & Electronic Engineering, Imperial College London, London SW7 2BT, UK; (K.-T.M.); (C.A.Y.); (M.J.); (T.M.); (C.T.)
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Lab-on-a-chip systems for cancer biomarker diagnosis. J Pharm Biomed Anal 2023; 226:115266. [PMID: 36706542 DOI: 10.1016/j.jpba.2023.115266] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 01/20/2023] [Accepted: 01/20/2023] [Indexed: 01/22/2023]
Abstract
Lab-on-a-chip (LOC) or micro total analysis system is one of the microfluidic technologies defined as the adaptation, miniaturization, integration, and automation of analytical laboratory procedures into a single instrument or "chip". In this article, we review developments over the past five years in the application of LOC biosensors for the detection of different types of cancer. Microfluidics encompasses chemistry and biotechnology skills and has revolutionized healthcare diagnosis. Superior to traditional cell culture or animal models, microfluidic technology has made it possible to reconstruct functional units of organs on chips to study human diseases such as cancer. LOCs have found numerous biomedical applications over the past five years, including integrated bioassays, cell analysis, metabolomics, drug discovery and delivery systems, tissue and organ physiology and disease modeling, and personalized medicine. This review provides an overview of the latest developments in microfluidic-based cancer research, with pros, cons, and prospects.
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Wang J, Davidson JL, Kaur S, Dextre AA, Ranjbaran M, Kamel MS, Athalye SM, Verma MS. Paper-Based Biosensors for the Detection of Nucleic Acids from Pathogens. BIOSENSORS 2022; 12:bios12121094. [PMID: 36551061 PMCID: PMC9776365 DOI: 10.3390/bios12121094] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 11/14/2022] [Accepted: 11/18/2022] [Indexed: 05/17/2023]
Abstract
Paper-based biosensors are microfluidic analytical devices used for the detection of biochemical substances. The unique properties of paper-based biosensors, including low cost, portability, disposability, and ease of use, make them an excellent tool for point-of-care testing. Among all analyte detection methods, nucleic acid-based pathogen detection offers versatility due to the ease of nucleic acid synthesis. In a point-of-care testing context, the combination of nucleic acid detection and a paper-based platform allows for accurate detection. This review offers an overview of contemporary paper-based biosensors for detecting nucleic acids from pathogens. The methods and limitations of implementing an integrated portable paper-based platform are discussed. The review concludes with potential directions for future research in the development of paper-based biosensors.
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Affiliation(s)
- Jiangshan Wang
- Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN 47907, USA
- Birck Nanotechnology Center, Purdue University, West Lafayette, IN 47907, USA
| | - Josiah Levi Davidson
- Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN 47907, USA
- Birck Nanotechnology Center, Purdue University, West Lafayette, IN 47907, USA
| | - Simerdeep Kaur
- Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN 47907, USA
- Birck Nanotechnology Center, Purdue University, West Lafayette, IN 47907, USA
| | - Andres A. Dextre
- Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN 47907, USA
- Birck Nanotechnology Center, Purdue University, West Lafayette, IN 47907, USA
| | - Mohsen Ranjbaran
- Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN 47907, USA
- Birck Nanotechnology Center, Purdue University, West Lafayette, IN 47907, USA
| | - Mohamed S. Kamel
- Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN 47907, USA
- Birck Nanotechnology Center, Purdue University, West Lafayette, IN 47907, USA
- Department of Medicine and Infectious Diseases, Faculty of Veterinary Medicine, Cairo University, Giza 12211, Egypt
| | - Shreya Milind Athalye
- Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN 47907, USA
- Birck Nanotechnology Center, Purdue University, West Lafayette, IN 47907, USA
| | - Mohit S. Verma
- Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN 47907, USA
- Birck Nanotechnology Center, Purdue University, West Lafayette, IN 47907, USA
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907, USA
- Correspondence:
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Broomfield J, Kalofonou M, Pataillot-Meakin T, Powell SM, Fernandes RC, Moser N, Bevan CL, Georgiou P. Detection of YAP1 and AR-V7 mRNA for Prostate Cancer Prognosis Using an ISFET Lab-On-Chip Platform. ACS Sens 2022; 7:3389-3398. [PMID: 36368032 PMCID: PMC9706784 DOI: 10.1021/acssensors.2c01463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Prostate cancer (PCa) is the second most common cause of male cancer-related death worldwide. The gold standard of treatment for advanced PCa is androgen deprivation therapy (ADT). However, eventual failure of ADT is common and leads to lethal metastatic castration-resistant PCa. As such, the detection of relevant biomarkers in the blood for drug resistance in metastatic castration-resistant PCa patients could lead to personalized treatment options. mRNA detection is often limited by the low specificity of qPCR assays which are restricted to specialized laboratories. Here, we present a novel reverse-transcription loop-mediated isothermal amplification assay and have demonstrated its capability for sensitive detection of AR-V7 and YAP1 RNA (3 × 101 RNA copies per reaction). This work presents a foundation for the detection of circulating mRNA in PCa on a non-invasive lab-on-chip device for use at the point-of-care. This technique was implemented onto a lab-on-chip platform integrating an array of chemical sensors (ion-sensitive field-effect transistors) for real-time detection of RNA. Detection of RNA presence was achieved through the translation of chemical signals into electrical readouts. Validation of this technique was conducted with rapid detection (<15 min) of extracted RNA from prostate cancer cell lines 22Rv1s and DU145s.
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Affiliation(s)
- Joseph Broomfield
- Centre
for Bio-Inspired Technology, Department of Electrical and Electronic
Engineering, Imperial College London, LondonSW7 2AZ, U.K.,Imperial
Centre for Translational and Experimental Medicine, Department of
Surgery and Cancer, Imperial College London, LondonW12 0NN, U.K.
| | - Melpomeni Kalofonou
- Centre
for Bio-Inspired Technology, Department of Electrical and Electronic
Engineering, Imperial College London, LondonSW7 2AZ, U.K.
| | - Thomas Pataillot-Meakin
- Imperial
Centre for Translational and Experimental Medicine, Department of
Surgery and Cancer, Imperial College London, LondonW12 0NN, U.K.,Sir
Michael Uren Hub, Department of Bioengineering, Imperial College London, LondonW12 0BZ, U.K.,Molecular
Science Research Hub, Department of Chemistry, Imperial College London, LondonW12 0BZ, U.K.
| | - Sue M. Powell
- Imperial
Centre for Translational and Experimental Medicine, Department of
Surgery and Cancer, Imperial College London, LondonW12 0NN, U.K.
| | - Rayzel C. Fernandes
- Imperial
Centre for Translational and Experimental Medicine, Department of
Surgery and Cancer, Imperial College London, LondonW12 0NN, U.K.
| | - Nicolas Moser
- Centre
for Bio-Inspired Technology, Department of Electrical and Electronic
Engineering, Imperial College London, LondonSW7 2AZ, U.K.
| | - Charlotte L. Bevan
- Imperial
Centre for Translational and Experimental Medicine, Department of
Surgery and Cancer, Imperial College London, LondonW12 0NN, U.K.
| | - Pantelis Georgiou
- Centre
for Bio-Inspired Technology, Department of Electrical and Electronic
Engineering, Imperial College London, LondonSW7 2AZ, U.K.,
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Oscorbin IP, Beginyazova OP, Khlistun IV, Shamovskaya DV, Oskina NA, Filipenko ML. Development of a multiplex allele-specific qPCR approach for testing PIK3CA mutations in patients with colorectal cancer. Heliyon 2022; 8:e11804. [DOI: 10.1016/j.heliyon.2022.e11804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Revised: 11/08/2022] [Accepted: 11/15/2022] [Indexed: 11/25/2022] Open
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Zeng J, Kuang L, Cicatiello C, Sinha A, Moser N, Boutelle M, Georgiou P. A LoC Ion Imaging Platform for Spatio-Temporal Characterisation of Ion-Selective Membranes. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS 2022; 16:545-556. [PMID: 35763475 DOI: 10.1109/tbcas.2022.3186742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
In this paper, a complete Lab-on-Chip (LoC) ion imaging platform for analysing Ion-Selective Membranes (ISM) using CMOS ISFET arrays is presented. An array of 128 × 128 ISFET pixels is employed with each pixel featuring 4 transistors to bias the ISFET to a common drain amplifier. Column-level 2-step readout circuits are designed to compensate for array offset variations in a range of up to ±1 V. The chemical signal associated with a change in ionic concentration is stored and fed back to a programmable gain instrumentation amplifier for compensation and signal amplification through a global system feedback loop. This column-parallel signal pipeline also integrates an 8-bit single slope ADC and an 8-bit R-2R DAC to quantise the processed pixel output. Designed and fabricated in the TSMC 180 nm BCD process, the System-on-Chip (SoC) operates in real time with a maximum frame rate of 1000 fps, whilst occupying a silicon area of 2.3 mm × 4.5 mm. The readout platform features a high-speed digital system to perform system-level feedback compensation with a USB 3.0 interface for data streaming. With this platform we show the first reported analysis and characterisation of ISMs using an ISFETs array through capturing real-time high-speed spatio-temporal information at a resolution of 16 μm in 1000 fps, extracting time-response and sensitivity. This work paves the way of understanding the electrochemical response of ISMs, which are widely used in various biomedical applications.
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Wormald BW, Moser N, deSouza NM, Mantikas KT, Malpartida-Cardenas K, Pennisi I, Ind TEJ, Vroobel K, Kalofonou M, Rodriguez-Manzano J, Georgiou P. Lab-on-chip assay of tumour markers and human papilloma virus for cervical cancer detection at the point-of-care. Sci Rep 2022; 12:8750. [PMID: 35610285 PMCID: PMC9128326 DOI: 10.1038/s41598-022-12557-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 04/22/2022] [Indexed: 01/17/2023] Open
Abstract
Cervical cancer affects over half a million people worldwide each year, the majority of whom are in resource-limited settings where cytology screening is not available. As persistent human papilloma virus (HPV) infections are a key causative factor, detection of HPV strains now complements cytology where screening services exist. This work demonstrates the efficacy of a handheld Lab-on-Chip (LoC) device, with an external sample extraction process, in detecting cervical cancer from biopsy samples. The device is based on Ion-Sensitive Field-Effect Transistor (ISFET) sensors used in combination with loop-mediated isothermal amplification (LAMP) assays, to amplify HPV DNA and human telomerase reverse transcriptase (hTERT) mRNA. These markers were selected because of their high levels of expression in cervical cancer cells, but low to nil expression in normal cervical tissue. The achieved analytical sensitivity for the molecular targets resolved down to a single copy per reaction for the mRNA markers, achieving a limit of detection of 102 for hTERT. In the tissue samples, HPV-16 DNA was present in 4/5 malignant and 2/5 benign tissues, with HPV-18 DNA being present in 1/5 malignant and 1/5 benign tissues. hTERT mRNA was detected in all malignant and no benign tissues, with the demonstrated pilot data to indicate the potential for using the LoC in cervical cancer screening in resource-limited settings on a large scale.
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Affiliation(s)
- Benjamin W Wormald
- Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, Institute of Cancer Research, London, SW7 3RP, UK
| | - Nicolas Moser
- Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2BT, UK
| | - Nandita M deSouza
- Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, Institute of Cancer Research, London, SW7 3RP, UK
| | - Katerina-Theresa Mantikas
- Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2BT, UK
| | - Kenny Malpartida-Cardenas
- Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2BT, UK
| | - Ivana Pennisi
- Department of Infectious Disease, Imperial College London, School of Medicine, St Mary's Hospital, London, W2 1NY, UK
| | - Thomas E J Ind
- Department of Surgical Oncology, Royal Marsden NHS Foundation Trust, London, SW3 6JJ, UK
| | - Katherine Vroobel
- Department of Pathology, Royal Marsden NHS Foundation Trust, London, SW3 6JJ, UK
| | - Melpomeni Kalofonou
- Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2BT, UK
| | - Jesus Rodriguez-Manzano
- Department of Infectious Disease, Imperial College London, School of Medicine, St Mary's Hospital, London, W2 1NY, UK
| | - Pantelis Georgiou
- Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2BT, UK.
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Abouali H, Hosseini SA, Purcell E, Nagrath S, Poudineh M. Recent Advances in Device Engineering and Computational Analysis for Characterization of Cell-Released Cancer Biomarkers. Cancers (Basel) 2022; 14:288. [PMID: 35053452 PMCID: PMC8774172 DOI: 10.3390/cancers14020288] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 12/21/2021] [Accepted: 01/04/2022] [Indexed: 02/04/2023] Open
Abstract
During cancer progression, tumors shed different biomarkers into the bloodstream, including circulating tumor cells (CTCs), extracellular vesicles (EVs), circulating cell-free DNA (cfDNA), and circulating tumor DNA (ctDNA). The analysis of these biomarkers in the blood, known as 'liquid biopsy' (LB), is a promising approach for early cancer detection and treatment monitoring, and more recently, as a means for cancer therapy. Previous reviews have discussed the role of CTCs and ctDNA in cancer progression; however, ctDNA and EVs are rapidly evolving with technological advancements and computational analysis and are the subject of enormous recent studies in cancer biomarkers. In this review, first, we introduce these cell-released cancer biomarkers and briefly discuss their clinical significance in cancer diagnosis and treatment monitoring. Second, we present conventional and novel approaches for the isolation, profiling, and characterization of these markers. We then investigate the mathematical and in silico models that are developed to investigate the function of ctDNA and EVs in cancer progression. We convey our views on what is needed to pave the way to translate the emerging technologies and models into the clinic and make the case that optimized next-generation techniques and models are needed to precisely evaluate the clinical relevance of these LB markers.
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Affiliation(s)
- Hesam Abouali
- Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada; (H.A.); (S.A.H.)
| | - Seied Ali Hosseini
- Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada; (H.A.); (S.A.H.)
| | - Emma Purcell
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109-2800, USA; (E.P.); (S.N.)
| | - Sunitha Nagrath
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109-2800, USA; (E.P.); (S.N.)
| | - Mahla Poudineh
- Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada; (H.A.); (S.A.H.)
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Martorell S, Maquieira Á, Tortajada-Genaro LA. A genosensor for detecting single-point mutations in dendron chips after blocked recombinase polymerase amplification. Analyst 2022; 147:2180-2188. [DOI: 10.1039/d2an00160h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Dendron–probe conjugates were effectively immobilized on chip surfaces, improving assay sensitivity and simplifying coupling reactions. Combined with an isothermal amplification, the array method accurately detects single-base changes.
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Affiliation(s)
- Sara Martorell
- Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Universitat Politècnica de València, Universitat de València, Camino de Vera s/n, 46022 Valencia, Spain
- Unidad Mixta UPV-La Fe, Nanomedicine and Sensors, IIS La Fe, Valencia, Spain
| | - Ángel Maquieira
- Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Universitat Politècnica de València, Universitat de València, Camino de Vera s/n, 46022 Valencia, Spain
- Unidad Mixta UPV-La Fe, Nanomedicine and Sensors, IIS La Fe, Valencia, Spain
- Chemistry department, Universitat Politècnica de València, Valencia, Spain
| | - Luis A. Tortajada-Genaro
- Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Universitat Politècnica de València, Universitat de València, Camino de Vera s/n, 46022 Valencia, Spain
- Unidad Mixta UPV-La Fe, Nanomedicine and Sensors, IIS La Fe, Valencia, Spain
- Chemistry department, Universitat Politècnica de València, Valencia, Spain
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Ivanov YD, Goldaeva KV, Malsagova KA, Pleshakova TO, Galiullin RA, Popov VP, Kushlinskii NE, Alferov AA, Enikeev DV, Potoldykova NV, Archakov AI. Nanoribbon Biosensor in the Detection of miRNAs Associated with Colorectal Cancer. MICROMACHINES 2021; 12:1581. [PMID: 34945431 PMCID: PMC8705149 DOI: 10.3390/mi12121581] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 12/10/2021] [Accepted: 12/17/2021] [Indexed: 02/07/2023]
Abstract
A nanoribbon biosensor (NRBS) was developed to register synthetic DNAs that simulate and are analogous to miRNA-17-3p associated with colorectal cancer. Using this nanoribbon biosensor, the ability to detect miRNA-17-3p in the blood plasma of a patient diagnosed with colorectal cancer has been demonstrated. The sensing element of the NRBS was a nanochip based on a silicon-on-insulator (SOI) nanostructure. The nanochip included an array of 10 nanoribbons and was designed with the implementation of top-down technology. For biospecific recognition of miRNA-17-3p, the nanochip was modified with DNA probes specific for miRNA-17-3p. The performance of the nanochip was preliminarily tested on model DNA oligonucleotides, which are synthetic analogues of miRNA-17-3p, and a detection limit of ~10-17 M was achieved. The results of this work can be used in the development of serological diagnostic systems for early detection of colorectal cancer.
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Affiliation(s)
- Yuri D. Ivanov
- Laboratory of Nanobiotechnology, Institute of Biomedical Chemistry, 119121 Moscow, Russia; (K.V.G.); (K.A.M.); (T.O.P.); (R.A.G.); (A.I.A.)
| | - Kristina V. Goldaeva
- Laboratory of Nanobiotechnology, Institute of Biomedical Chemistry, 119121 Moscow, Russia; (K.V.G.); (K.A.M.); (T.O.P.); (R.A.G.); (A.I.A.)
| | - Kristina A. Malsagova
- Laboratory of Nanobiotechnology, Institute of Biomedical Chemistry, 119121 Moscow, Russia; (K.V.G.); (K.A.M.); (T.O.P.); (R.A.G.); (A.I.A.)
| | - Tatyana O. Pleshakova
- Laboratory of Nanobiotechnology, Institute of Biomedical Chemistry, 119121 Moscow, Russia; (K.V.G.); (K.A.M.); (T.O.P.); (R.A.G.); (A.I.A.)
| | - Rafael A. Galiullin
- Laboratory of Nanobiotechnology, Institute of Biomedical Chemistry, 119121 Moscow, Russia; (K.V.G.); (K.A.M.); (T.O.P.); (R.A.G.); (A.I.A.)
| | - Vladimir P. Popov
- Rzhanov Institute of Semiconductor Physics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia;
| | - Nikolay E. Kushlinskii
- N.N. Blokhin National Medical Research Center of Oncology, 115478 Moscow, Russia; (N.E.K.); (A.A.A.)
| | - Alexander A. Alferov
- N.N. Blokhin National Medical Research Center of Oncology, 115478 Moscow, Russia; (N.E.K.); (A.A.A.)
| | - Dmitry V. Enikeev
- Institute of Urology and Reproductive Health, Sechenov University, 119992 Moscow, Russia; (D.V.E.); (N.V.P.)
| | - Natalia V. Potoldykova
- Institute of Urology and Reproductive Health, Sechenov University, 119992 Moscow, Russia; (D.V.E.); (N.V.P.)
| | - Alexander I. Archakov
- Laboratory of Nanobiotechnology, Institute of Biomedical Chemistry, 119121 Moscow, Russia; (K.V.G.); (K.A.M.); (T.O.P.); (R.A.G.); (A.I.A.)
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Shojaei Baghini M, Vilouras A, Douthwaite M, Georgiou P, Dahiya R. Ultra‐thin ISFET‐based sensing systems. ELECTROCHEMICAL SCIENCE ADVANCES 2021. [DOI: 10.1002/elsa.202100202] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Affiliation(s)
- Mahdieh Shojaei Baghini
- Bendable Electronics and Sensing Technologies (BEST) Group School of Engineering University of Glasgow Glasgow UK
| | - Anastasios Vilouras
- Bendable Electronics and Sensing Technologies (BEST) Group School of Engineering University of Glasgow Glasgow UK
| | - Matthew Douthwaite
- Centre for Bio‐Inspired Technology Department of Electrical and Electronic Engineering Imperial College London London UK
| | - Pantelis Georgiou
- Centre for Bio‐Inspired Technology Department of Electrical and Electronic Engineering Imperial College London London UK
| | - Ravinder Dahiya
- Bendable Electronics and Sensing Technologies (BEST) Group School of Engineering University of Glasgow Glasgow UK
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13
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Jahin M, Fenech-Salerno B, Moser N, Georgiou P, Flanagan J, Toumazou C, Mateo SD, Kalofonou M. Detection of MGMT methylation status using a Lab-on-Chip compatible isothermal amplification method. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2021; 2021:7385-7389. [PMID: 34892804 DOI: 10.1109/embc46164.2021.9630776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
The growing cancer burden necessitates the development of cost-effective solutions that provide rapid, precise and personalised information to improve patient outcome. The aim of this study was to develop a novel, Lab-on-Chip compatible method for the detection and quantification of DNA methylation for MGMT, a well-established molecular biomarker for glioblastoma, with direct clinical translation as a predictive target. A Lab-on-Chip compatible isothermal amplification method (LAMP) was used to test its efficacy for detection of sequence-specific methylated regions of MGMT, with the method's specificity and sensitivity to have been compared against gold-standards (MethyLight, JumpStart). Our LAMP primer combinations were shown to be specific to the MGMT methylated region, while sensitivity assays determined that the amplification methods were capable of running at clinically relevant DNA concentrations of 0.2 - 20 ng/µL. For the first time, the ability to detect the presence of DNA methylation on bisulfite converted DNA was demonstrated on a Lab-on-Chip setup, laying the foundation for future applications of this platform to other epigenetic biomarkers in a point-of-care setting.
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Zhang J, Alexandrou G, Toumazou C, Kalofonou M. Automating the Design of Cancer Specific DNA Probes Using Computational Algorithms. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2021; 2021:1852-1856. [PMID: 34891648 DOI: 10.1109/embc46164.2021.9630589] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
This paper introduces a novel Python script which automates the design process of cancer variant-specific DNA probes, based on the amplification method LAMP (Loop-Mediated Isothermal Amplification). With just an input of the DNA sequence and the mutation base location, the script outputs suggestions of two best fitting primer sets for a given target, together with an estimated working efficiency. The script also implements a feature of 'script training', using experimentally-validated primers as a benchmark for primer design optimisation. The proposed script has been tested using the gene sequences of ESR1 p.E380Q and ESR1 p.Y537S cancer specific mutations, with the results to closely resemble the experimentally validated primer sets. Creating a rapid LAMP primer design utility allows LAMP to be more easily used as a molecular method for assay development in Lab-on-Chip (LoC) systems to track mutational profiles of variant-specific assays.
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Zeng J, Kuang L, Cacho-Soblechero M, Georgiou P. An Ultra-High Frame Rate Ion Imaging Platform Using ISFET Arrays With Real-Time Compression. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS 2021; 15:820-833. [PMID: 34406947 DOI: 10.1109/tbcas.2021.3105328] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
In this paper, a Lab-on-Chip platform with ultra-high throughput and real-time image compression for high speed ion imaging is presented. The sensing front-end comprises of a CMOS ISFET array with sensors biased in velocity saturation for a linear pH-to-current conversion and high spatial and temporal resolution. An array of 128 × 128 pixels is designed with a pixel size of 13.5 μm × 10.5 μm. In-pixel reset switches are applied for offset compensation, by asynchronously resetting the floating gate of the ISFET to a known fixed potential. Additionally, each row of pixels is processed by a current mode signal pipeline with auto zeroing functionality to remove fixed pattern noise, followed by an on-chip 1 MS/s 8-bit row-parallel single slope ADC. Fabricated in standard TSMC 180 nm BCD process, the entire system-on-chip occupies a silicon area of 2 mm × 2 mm, and achieves a frame rate of 6100 fps (7800 fps from simulation). A high speed 25 ms-latency readout platform based on a USB 3.0 interface and standard JPEG is presented for real-time ion imaging and image compression respectively, while an optimised JPEG algorithm is also designed and verified for a higher compression ratio without sacrificing image quality. We demonstrate real-time ion image visualisation by sensing high speed ion diffusion at 6100 fps, which is more than two times faster than the current state-of-the-art.
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Alexandrou G, Moser N, Mantikas KT, Rodriguez-Manzano J, Ali S, Coombes RC, Shaw J, Georgiou P, Toumazou C, Kalofonou M. Detection of Multiple Breast Cancer ESR1 Mutations on an ISFET Based Lab-on-Chip Platform. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS 2021; 15:380-389. [PMID: 34214044 DOI: 10.1109/tbcas.2021.3094464] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
ESR1 mutations are important biomarkers in metastatic breast cancer. Specifically, p.E380Q and p.Y537S mutations arise in response to hormonal therapies given to patients with hormone receptor positive (HR+) breast cancer (BC). This paper demonstrates the efficacy of an ISFET based CMOS integrated Lab-on-Chip (LoC) system, coupled with variant-specific isothermal amplification chemistries, for detection and discrimination of wild type (WT) from mutant (MT) copies of the ESR1 gene. Hormonal resistant cancers often lead to increased chances of metastatic disease which leads to high mortality rates, especially in low-income regions and areas with low healthcare coverage. Design and optimization of bespoke primers was carried out and tested on a qPCR instrument and then benchmarked versus the LoC platform. Assays for detection of p.Y537S and p.E380Q were developed and tested on the LoC platform, achieving amplification in under 25 minutes and sensitivity of down to 1000 copies of DNA per reaction for both target assays. The LoC system hereby presented, is cheaper and smaller than other standard industry equivalent technologies such as qPCR and sequencing. The LoC platform proposed, has the potential to be used at a breast cancer point-of-care testing setting, offering mutational tracking of circulating tumour DNA in liquid biopsies to assist patient stratification and metastatic monitoring.
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Moniri A, Miglietta L, Malpartida-Cardenas K, Pennisi I, Cacho-Soblechero M, Moser N, Holmes A, Georgiou P, Rodriguez-Manzano J. Amplification Curve Analysis: Data-Driven Multiplexing Using Real-Time Digital PCR. Anal Chem 2020; 92:13134-13143. [PMID: 32946688 DOI: 10.1021/acs.analchem.0c02253] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Information about the kinetics of PCR reactions is encoded in the amplification curve. However, in digital PCR (dPCR), this information is typically neglected by collapsing each amplification curve into a binary output (positive/negative). Here, we demonstrate that the large volume of raw data obtained from real-time dPCR instruments can be exploited to perform data-driven multiplexing in a single fluorescent channel using machine learning methods, by virtue of the information in the amplification curve. This new approach, referred to as amplification curve analysis (ACA), was shown using an intercalating dye (EvaGreen), reducing the cost and complexity of the assay and enabling the use of melting curve analysis for validation. As a case study, we multiplexed 3 carbapenem-resistant genes to show the impact of this approach on global challenges such as antimicrobial resistance. In the presence of single targets, we report a classification accuracy of 99.1% (N = 16188), which represents a 19.7% increase compared to multiplexing based on the final fluorescent intensity. Considering all combinations of amplification events (including coamplifications), the accuracy was shown to be 92.9% (N = 10383). To support the analysis, we derived a formula to estimate the occurrence of coamplification in dPCR based on multivariate Poisson statistics and suggest reducing the digital occupancy in the case of multiple targets in the same digital panel. The ACA approach takes a step toward maximizing the capabilities of existing real-time dPCR instruments and chemistries, by extracting more information from data to enable data-driven multiplexing with high accuracy. Furthermore, we expect that combining this method with existing probe-based assays will increase multiplexing capabilities significantly. We envision that once emerging point-of-care technologies can reliably capture real-time data from isothermal chemistries, the ACA method will facilitate the implementation of dPCR outside of the lab.
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Affiliation(s)
- Ahmad Moniri
- Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, U.K
| | - Luca Miglietta
- Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, U.K
| | - Kenny Malpartida-Cardenas
- Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, U.K
| | - Ivana Pennisi
- Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, U.K.,Section of Paediatric Infectious Disease, Department of Infectious Disease, Imperial College London, London W2 1NY, U.K
| | - Miguel Cacho-Soblechero
- Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, U.K
| | - Nicolas Moser
- Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, U.K
| | - Alison Holmes
- NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Department of Infectious Disease, Imperial College London, London W12 0NN, U.K
| | - Pantelis Georgiou
- Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, U.K
| | - Jesus Rodriguez-Manzano
- Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, U.K.,NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Department of Infectious Disease, Imperial College London, London W12 0NN, U.K
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