1
|
Mun SK, Sim HB, Lee JH, Kim H, Park DH, Lee YA, Han JY, Choi YJ, Son JS, Park J, Lim TH, Yee ST, Chang YT, Lee S, Chang DJ, Kim JJ. Targeting Heme Oxygenase 2 (HO2) with TiNIR, a Theragnostic Approach for Managing Metastatic Non-Small Cell Lung Cancer. Biomater Res 2024; 28:0026. [PMID: 38665698 PMCID: PMC11045274 DOI: 10.34133/bmr.0026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 03/26/2024] [Indexed: 04/28/2024] Open
Abstract
Despite notable advancements in cancer therapeutics, metastasis remains a primary obstacle impeding a successful prognosis. Our prior study has identified heme oxygenase 2 (HO2) as a promising therapeutic biomarker for the aggressive subsets within tumor. This study aims to systematically evaluate HO2 as a therapeutic target of cancer, with a specific emphasis on its efficacy in addressing cancer metastasis. Through targeted inhibition of HO2 by TiNIR (tumor-initiating cell probe with near infrared), we observed a marked increase in reactive oxygen species. This, in turn, orchestrated the modulation of AKT and cJUN activation, culminating in a substantial attenuation of both proliferation and migration within a metastatic cancer cell model. Furthermore, in a mouse model, clear inhibition of cancer metastasis was unequivocally demonstrated with an HO2 inhibitor administration. These findings underscore the therapeutic promise of targeting HO2 as a strategic intervention to impede cancer metastasis, enhancing the effectiveness of cancer treatments.
Collapse
Affiliation(s)
- Seul-Ki Mun
- Department of Biomedical Science,
Sunchon National University, Suncheon 57922, Republic of Korea
- College of Pharmacy and Research Institute of Life and Pharmaceutical Sciences,
Sunchon National University, Suncheon 57922, Republic of Korea
| | - Hyun Bo Sim
- Department of Biomedical Science,
Sunchon National University, Suncheon 57922, Republic of Korea
| | - Jae-Hyuk Lee
- Gwangju Center,
Korea Basic Science Institute (KBSI), Gwangju 61751, Republic of Korea
| | - Hyeongyeong Kim
- Department of Biomedical Science,
Sunchon National University, Suncheon 57922, Republic of Korea
| | - Dae-Han Park
- Department of Biomedical Science,
Sunchon National University, Suncheon 57922, Republic of Korea
| | - Yong-An Lee
- Genome Institute of Singapore (GIS),
Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome, Singapore 138672, Republic of Singapore
| | - Ji Yeon Han
- Department of Biomedical Science,
Sunchon National University, Suncheon 57922, Republic of Korea
| | - Yu-Jeong Choi
- Department of Biomedical Science,
Sunchon National University, Suncheon 57922, Republic of Korea
| | - Jun Sang Son
- Department of Biomedical Science,
Sunchon National University, Suncheon 57922, Republic of Korea
| | - Jeongwon Park
- Gwangju Center,
Korea Basic Science Institute (KBSI), Gwangju 61751, Republic of Korea
| | - Tae-Hwan Lim
- College of Pharmacy and Research Institute of Life and Pharmaceutical Sciences,
Sunchon National University, Suncheon 57922, Republic of Korea
| | - Sung-Tae Yee
- College of Pharmacy and Research Institute of Life and Pharmaceutical Sciences,
Sunchon National University, Suncheon 57922, Republic of Korea
| | - Young-Tae Chang
- School of Interdisciplinary Bioscience and Bioengineering,
Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea
- Department of Chemistry,
Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea
| | - Seongsoo Lee
- Gwangju Center,
Korea Basic Science Institute (KBSI), Gwangju 61751, Republic of Korea
- Department of Systems Biotechnology,
Chung-Ang University, Anseong 17546, Republic of Korea
- Department of Bio-Analysis Science,
University of Science & Technology, Daejeon 34113, Republic of Korea
| | - Dong-Jo Chang
- College of Pharmacy and Research Institute of Life and Pharmaceutical Sciences,
Sunchon National University, Suncheon 57922, Republic of Korea
| | - Jong-Jin Kim
- Department of Biomedical Science,
Sunchon National University, Suncheon 57922, Republic of Korea
| |
Collapse
|
2
|
Burguete-Lopez A, Makarenko M, Bonifazi M, Menezes de Oliveira BN, Getman F, Tian Y, Mazzone V, Li N, Giammona A, Liberale C, Fratalocchi A. Real-time simultaneous refractive index and thickness mapping of sub-cellular biology at the diffraction limit. Commun Biol 2024; 7:154. [PMID: 38321111 PMCID: PMC10847501 DOI: 10.1038/s42003-024-05839-w] [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: 04/28/2023] [Accepted: 01/20/2024] [Indexed: 02/08/2024] Open
Abstract
Mapping the cellular refractive index (RI) is a central task for research involving the composition of microorganisms and the development of models providing automated medical screenings with accuracy beyond 95%. These models require significantly enhancing the state-of-the-art RI mapping capabilities to provide large amounts of accurate RI data at high throughput. Here, we present a machine-learning-based technique that obtains a biological specimen's real-time RI and thickness maps from a single image acquired with a conventional color camera. This technology leverages a suitably engineered nanostructured membrane that stretches a biological analyte over its surface and absorbs transmitted light, generating complex reflection spectra from each sample point. The technique does not need pre-existing sample knowledge. It achieves 10-4 RI sensitivity and sub-nanometer thickness resolution on diffraction-limited spatial areas. We illustrate practical application by performing sub-cellular segmentation of HCT-116 colorectal cancer cells, obtaining complete three-dimensional reconstruction of the cellular regions with a characteristic length of 30 μm. These results can facilitate the development of real-time label-free technologies for biomedical studies on microscopic multicellular dynamics.
Collapse
Affiliation(s)
- Arturo Burguete-Lopez
- PRIMALIGHT, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
| | - Maksim Makarenko
- PRIMALIGHT, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
| | - Marcella Bonifazi
- PRIMALIGHT, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
- Physik-Institut, University of Zurich, Winterthurerstrasse 190, Zurich, 8057, Switzerland
| | - Barbara Nicoly Menezes de Oliveira
- PRIMALIGHT, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
| | - Fedor Getman
- PRIMALIGHT, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
| | - Yi Tian
- PRIMALIGHT, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
| | - Valerio Mazzone
- PRIMALIGHT, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
- Physik-Institut, University of Zurich, Winterthurerstrasse 190, Zurich, 8057, Switzerland
| | - Ning Li
- PRIMALIGHT, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
| | - Alessandro Giammona
- Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
- Institute of Molecular Bioimaging and Physiology (IBFM), National Research Council (CNR), Segrate, Italy
| | - Carlo Liberale
- Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
| | - Andrea Fratalocchi
- PRIMALIGHT, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.
| |
Collapse
|
3
|
Plasmonic Biosensing for Label-Free Detection of Two Hallmarks of Cancer Cells: Cell-Matrix Interaction and Cell Division. BIOSENSORS 2022; 12:bios12090674. [PMID: 36140059 PMCID: PMC9496138 DOI: 10.3390/bios12090674] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 08/21/2022] [Accepted: 08/22/2022] [Indexed: 11/18/2022]
Abstract
Two key features of cancer cells are sustained proliferation and invasion, which is preceded by a modification of the adhesion properties to the extracellular matrix. Currently, fluorescence-based techniques are mainly used to detect these processes, including flow cytometry and fluorescence resonance energy transfer (FRET) microscopy. We have previously described a simple, fast and label-free method based on a gold nanohole array biosensor to detect the spectral response of single cells, which is highly dependent on the actin cortex. Here we used this biosensor to study two cellular processes where configuration of the actin cortex plays an essential role: cell cycle and cell–matrix adhesion. Colorectal cancer cells were maintained in culture under different conditions to obtain cells stopped either in G0/G1 (resting cells/cells at the initial steps of cell growth) or G2 (cells undergoing division) phases of the cell cycle. Data from the nanohole array biosensor showed an ability to discriminate between both cell populations. Additionally, cancer cells were monitored with the biosensor during the first 60 min after cells were deposited onto a biosensor coated with fibronectin, an extracellular matrix protein. Spectral changes were detected in the first 20 min and increased over time as the cell–biosensor contact surface increased. Our data show that the nanohole array biosensor provides a label-free and real-time procedure to detect cells undergoing division or changes in cell–matrix interaction in both clinical and research settings.
Collapse
|
4
|
Liang W, Yang X, Wang J, Wang Y, Yang W, Liu L. Determination of Dielectric Properties of Cells using AC Electrokinetic-based Microfluidic Platform: A Review of Recent Advances. MICROMACHINES 2020; 11:E513. [PMID: 32438680 PMCID: PMC7281274 DOI: 10.3390/mi11050513] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 05/16/2020] [Accepted: 05/18/2020] [Indexed: 12/18/2022]
Abstract
Cell dielectric properties, a type of intrinsic property of cells, can be used as electrophysiological biomarkers that offer a label-free way to characterize cell phenotypes and states, purify clinical samples, and identify target cancer cells. Here, we present a review of the determination of cell dielectric properties using alternating current (AC) electrokinetic-based microfluidic mechanisms, including electro-rotation (ROT) and dielectrophoresis (DEP). The review covers theoretically how ROT and DEP work to extract cell dielectric properties. We also dive into the details of differently structured ROT chips, followed by a discussion on the determination of cell dielectric properties and the use of these properties in bio-related applications. Additionally, the review offers a look at the future challenges facing the AC electrokinetic-based microfluidic platform in terms of acquiring cell dielectric parameters. Our conclusion is that this platform will bring biomedical and bioengineering sciences to the next level and ultimately achieve the shift from lab-oriented research to real-world applications.
Collapse
Affiliation(s)
- Wenfeng Liang
- School of Mechanical Engineering, Shenyang Jianzhu University, Shenyang 110168, China; (X.Y.); (J.W.)
| | - Xieliu Yang
- School of Mechanical Engineering, Shenyang Jianzhu University, Shenyang 110168, China; (X.Y.); (J.W.)
| | - Junhai Wang
- School of Mechanical Engineering, Shenyang Jianzhu University, Shenyang 110168, China; (X.Y.); (J.W.)
| | - Yuechao Wang
- State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China;
| | - Wenguang Yang
- School of Electromechanical and Automotive Engineering, Yantai University, Yantai 264005, China;
| | - Lianqing Liu
- State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China;
| |
Collapse
|
5
|
Shi X, Ge K, Tong JH, Zhai T. Low-cost biosensors based on a plasmonic random laser on fiber facet. OPTICS EXPRESS 2020; 28:12233-12242. [PMID: 32403721 DOI: 10.1364/oe.392661] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Accepted: 04/01/2020] [Indexed: 06/11/2023]
Abstract
Low-cost and miniaturized biosensors are key factors leading to the possibility of portable and integrated biomedical system, which play an important role in clinical medicine and life sciences. Random lasers with simple structures provide opportunities for detecting biomolecules. Here, low-cost biosensors on fiber facet for label-free detecting biomolecules are demonstrated based on a plasmonic random laser. The random laser is achieved resorting to a self-assembled plasmonic scattering structure of Ag nanoparticles and polymer film on fiber facet. Refractive index sensitivity and near-surface sensitivity of the biosensor are systematically studied. Furthermore, the biosensor is used to detect IgG through specific binding to protein A, exhibiting the detecting limit of 0.68 nM. It is believed that this work may promote the applications of a plasmonic random laser bio-probe in portable or integrated medical diagnostic platforms, and provide fundamental understanding for the life science.
Collapse
|