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Maita F, Maiolo L, Lucarini I, Del Rio De Vicente JI, Sciortino A, Ledda M, Mussi V, Lisi A, Convertino A. Revealing Low Amplitude Signals of Neuroendocrine Cells through Disordered Silicon Nanowires-Based Microelectrode Array. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2301925. [PMID: 37357140 PMCID: PMC10460871 DOI: 10.1002/advs.202301925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 06/06/2023] [Indexed: 06/27/2023]
Abstract
Today, the key methodology to study in vitro or in vivo electrical activity in a population of electrogenic cells, under physiological or pathological conditions, is by using microelectrode array (MEA). While significant efforts have been devoted to develop nanostructured MEAs for improving the electrophysiological investigation in neurons and cardiomyocytes, data on the recording of the electrical activity from neuroendocrine cells with MEA technology are scarce owing to their weaker electrical signals. Disordered silicon nanowires (SiNWs) for developing a MEA that, combined with a customized acquisition board, successfully capture the electrical signals generated by the corticotrope AtT-20 cells as a function of the extracellular calcium (Ca2+ ) concentration are reported. The recorded signals show a shape that clearly resembles the action potential waveform by suggesting a natural membrane penetration of the SiNWs. Additionally, the generation of synchronous signals observed under high Ca2+ content indicates the occurrence of a collective behavior in the AtT-20 cell population. This study extends the usefulness of MEA technology to the investigation of the electrical communication in cells of the pituitary gland, crucial in controlling several essential human functions, and provides new perspectives in recording with MEA the electrical activity of excitable cells.
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Affiliation(s)
- Francesco Maita
- Institute for Microelectronics and MicrosystemsNational Research CouncilVia Fosso del Cavaliere 100Rome00133Italy
| | - Luca Maiolo
- Institute for Microelectronics and MicrosystemsNational Research CouncilVia Fosso del Cavaliere 100Rome00133Italy
| | - Ivano Lucarini
- Institute for Microelectronics and MicrosystemsNational Research CouncilVia Fosso del Cavaliere 100Rome00133Italy
| | | | - Antonio Sciortino
- Institute for Microelectronics and MicrosystemsNational Research CouncilVia Fosso del Cavaliere 100Rome00133Italy
| | - Mario Ledda
- Institute of Translational PharmacologyNational Research CouncilVia Fosso del Cavaliere 100Rome00133Italy
| | - Valentina Mussi
- Institute for Microelectronics and MicrosystemsNational Research CouncilVia Fosso del Cavaliere 100Rome00133Italy
| | - Antonella Lisi
- Institute of Translational PharmacologyNational Research CouncilVia Fosso del Cavaliere 100Rome00133Italy
| | - Annalisa Convertino
- Institute for Microelectronics and MicrosystemsNational Research CouncilVia Fosso del Cavaliere 100Rome00133Italy
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Lancia G, Durastanti C, Spitoni C, De Benedictis I, Sciortino A, Cirillo ENM, Ledda M, Lisi A, Convertino A, Mussi V. Learning models for classifying Raman spectra of genomic DNA from tumor subtypes. Sci Rep 2023; 13:11370. [PMID: 37452161 PMCID: PMC10349119 DOI: 10.1038/s41598-023-37303-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 06/20/2023] [Indexed: 07/18/2023] Open
Abstract
An early and accurate detection of different subtypes of tumors is crucial for an effective guidance to personalized therapy and in predicting the ability of tumor to metastasize. Here we exploit the Surface Enhanced Raman Scattering (SERS) platform, based on disordered silver coated silicon nanowires (Ag/SiNWs), to efficiently discriminate genomic DNA of different subtypes of melanoma and colon tumors. The diagnostic information is obtained by performing label free Raman maps of the dried drops of DNA solutions onto the Ag/NWs mat and leveraging the classification ability of learning models to reveal the specific and distinct physico-chemical interaction of tumor DNA molecules with the Ag/NW, here supposed to be partly caused by a different DNA methylation degree.
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Affiliation(s)
- Giacomo Lancia
- Mathematical Institute, Utrecht University, Budapestlaan 6, 3584 CD, Utrecht, The Netherlands
| | - Claudio Durastanti
- Department of Basic and Applied Sciences for Engineering, Sapienza University of Rome, via A. Scarpa 16, 00161, Rome, Italy.
| | - Cristian Spitoni
- Mathematical Institute, Utrecht University, Budapestlaan 6, 3584 CD, Utrecht, The Netherlands
| | - Ilaria De Benedictis
- Department of Basic and Applied Sciences for Engineering, Sapienza University of Rome, via A. Scarpa 16, 00161, Rome, Italy
| | - Antonio Sciortino
- Institute for Microelectronics and Microsystems, CNR, via del Fosso del Cavaliere, 100, Rome, Italy
| | - Emilio N M Cirillo
- Department of Basic and Applied Sciences for Engineering, Sapienza University of Rome, via A. Scarpa 16, 00161, Rome, Italy
| | - Mario Ledda
- Institute of Translational Pharmacology, CNR, via del Fosso del Cavaliere, 100, Rome, Italy
| | - Antonella Lisi
- Institute of Translational Pharmacology, CNR, via del Fosso del Cavaliere, 100, Rome, Italy
| | - Annalisa Convertino
- Institute for Microelectronics and Microsystems, CNR, via del Fosso del Cavaliere, 100, Rome, Italy
| | - Valentina Mussi
- Institute for Microelectronics and Microsystems, CNR, via del Fosso del Cavaliere, 100, Rome, Italy
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Mussi V, Convertino A, Lisi A. Editorial for the Special Issue on Nanostructured Surfaces and Devices for Biomedical Applications. MICROMACHINES 2022; 13:2094. [PMID: 36557393 PMCID: PMC9782862 DOI: 10.3390/mi13122094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 11/24/2022] [Indexed: 06/17/2023]
Abstract
The ability to control and modify the surface topography of materials at the nanoscale, which produces features with a comparable size to that of biological entities, so as to effectively probe and influence processes at both the cellular and the molecular level, has facilitated incredible possibilities in the fields of biomedicine, biosensing, and diagnostics [...].
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Affiliation(s)
- Valentina Mussi
- IMM CNR, Institute of Microelectronics and Microsystems, National Research Council, 00133 Rome, Italy
| | - Annalisa Convertino
- IMM CNR, Institute of Microelectronics and Microsystems, National Research Council, 00133 Rome, Italy
| | - Antonella Lisi
- IFT CNR, Institute of Translational Pharmacology, National Research Council, 00133 Rome, Italy
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Cui D, Kong L, Wang Y, Zhu Y, Zhang C. In situ identification of environmental microorganisms with Raman spectroscopy. ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY 2022; 11:100187. [PMID: 36158754 PMCID: PMC9488013 DOI: 10.1016/j.ese.2022.100187] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 05/13/2022] [Accepted: 05/15/2022] [Indexed: 05/28/2023]
Abstract
Microorganisms in natural environments are crucial in maintaining the material and energy cycle and the ecological balance of the environment. However, it is challenging to delineate environmental microbes' actual metabolic pathways and intraspecific heterogeneity because most microorganisms cannot be cultivated. Raman spectroscopy is a culture-independent technique that can collect molecular vibration profiles from cells. It can reveal the physiological and biochemical information at the single-cell level rapidly and non-destructively in situ. The first part of this review introduces the principles, advantages, progress, and analytical methods of Raman spectroscopy applied in environmental microbiology. The second part summarizes the applications of Raman spectroscopy combined with stable isotope probing (SIP), fluorescence in situ hybridization (FISH), Raman-activated cell sorting and genomic sequencing, and machine learning in microbiological studies. Finally, this review discusses expectations of Raman spectroscopy and future advances to be made in identifying microorganisms, especially for uncultured microorganisms.
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Affiliation(s)
- Dongyu Cui
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China
- Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Lingchao Kong
- State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science & Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Yi Wang
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China
- Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Yuanqing Zhu
- Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
- Shanghai Sheshan National Geophysical Observatory, Shanghai Earthquake Agency, Shanghai, 200062, China
| | - Chuanlun Zhang
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China
- Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
- Shenzhen Key Laboratory of Marine Archaea Geo-Omics, University of Southern University of Science and Technology, Shenzhen, 518055, China
- Shanghai Sheshan National Geophysical Observatory, Shanghai Earthquake Agency, Shanghai, 200062, China
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