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Sheikh E, Agrawal K, Roy S, Burk D, Donnarumma F, Ko YH, Guttula PK, Biswal NC, Shukla HD, Gartia MR. Multimodal Imaging of Pancreatic Cancer Microenvironment in Response to an Antiglycolytic Drug. Adv Healthc Mater 2023; 12:e2301815. [PMID: 37706285 PMCID: PMC10842640 DOI: 10.1002/adhm.202301815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Indexed: 09/15/2023]
Abstract
Lipid metabolism and glycolysis play crucial roles in the progression and metastasis of cancer, and the use of 3-bromopyruvate (3-BP) as an antiglycolytic agent has shown promise in killing pancreatic cancer cells. However, developing an effective strategy to avoid chemoresistance requires the ability to probe the interaction of cancer drugs with complex tumor-associated microenvironments (TAMs). Unfortunately, no robust and multiplexed molecular imaging technology is currently available to analyze TAMs. In this study, the simultaneous profiling of three protein biomarkers using SERS nanotags and antibody-functionalized nanoparticles in a syngeneic mouse model of pancreatic cancer (PC) is demonstrated. This allows for comprehensive information about biomarkers and TAM alterations before and after treatment. These multimodal imaging techniques include surface-enhanced Raman spectroscopy (SERS), immunohistochemistry (IHC), polarized light microscopy, second harmonic generation (SHG) microscopy, fluorescence lifetime imaging microscopy (FLIM), and untargeted liquid chromatography and mass spectrometry (LC-MS) analysis. The study reveals the efficacy of 3-BP in treating pancreatic cancer and identifies drug treatment-induced lipid species remodeling and associated pathways through bioinformatics analysis.
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Affiliation(s)
- Elnaz Sheikh
- Department of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, LA, 70803, USA
| | - Kirti Agrawal
- Department of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, LA, 70803, USA
| | - Sanjit Roy
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - David Burk
- Department of Cell Biology and Bioimaging, Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - Fabrizio Donnarumma
- Department of Chemistry, Louisiana State University, Baton Rouge, LA, 70803, USA
| | - Young H Ko
- NewG Lab Pharma, 701 East Pratt Street, Columbus Center, Baltimore, MD, 21202, USA
| | - Praveen Kumar Guttula
- Sprott Center for Stem Cell Research, Regenerative Medicine Program, Ottawa Hospital Research Institute, Ottawa, ON, K1H 8L6, Canada
- Department of Biochemistry, Microbiology, and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, ON, K1H 8M5, Canada
| | - Nrusingh C Biswal
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Hem D Shukla
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Manas Ranjan Gartia
- Department of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, LA, 70803, USA
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Kong Y, Ao J, Chen Q, Su W, Zhao Y, Fei Y, Ma J, Ji M, Mi L. Evaluating Differentiation Status of Mesenchymal Stem Cells by Label-Free Microscopy System and Machine Learning. Cells 2023; 12:1524. [PMID: 37296645 PMCID: PMC10252613 DOI: 10.3390/cells12111524] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 05/26/2023] [Accepted: 05/26/2023] [Indexed: 06/12/2023] Open
Abstract
Mesenchymal stem cells (MSCs) play a crucial role in tissue engineering, as their differentiation status directly affects the quality of the final cultured tissue, which is critical to the success of transplantation therapy. Furthermore, the precise control of MSC differentiation is essential for stem cell therapy in clinical settings, as low-purity stem cells can lead to tumorigenic problems. Therefore, to address the heterogeneity of MSCs during their differentiation into adipogenic or osteogenic lineages, numerous label-free microscopic images were acquired using fluorescence lifetime imaging microscopy (FLIM) and stimulated Raman scattering (SRS), and an automated evaluation model for the differentiation status of MSCs was built based on the K-means machine learning algorithm. The model is capable of highly sensitive analysis of individual cell differentiation status, so it has great potential for stem cell differentiation research.
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Affiliation(s)
- Yawei Kong
- Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Department of Optical Science and Engineering, Shanghai Engineering Research Center of Ultra-Precision Optical Manufacturing, School of Information Science and Technology, Fudan University, Shanghai 200433, China; (Y.K.); (Q.C.); (W.S.); (Y.F.); (J.M.)
| | - Jianpeng Ao
- Department of Physics, Fudan University, Shanghai 200433, China;
| | - Qiushu Chen
- Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Department of Optical Science and Engineering, Shanghai Engineering Research Center of Ultra-Precision Optical Manufacturing, School of Information Science and Technology, Fudan University, Shanghai 200433, China; (Y.K.); (Q.C.); (W.S.); (Y.F.); (J.M.)
| | - Wenhua Su
- Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Department of Optical Science and Engineering, Shanghai Engineering Research Center of Ultra-Precision Optical Manufacturing, School of Information Science and Technology, Fudan University, Shanghai 200433, China; (Y.K.); (Q.C.); (W.S.); (Y.F.); (J.M.)
| | - Yinping Zhao
- Human Phenome Institute, Fudan University, Shanghai 200433, China;
| | - Yiyan Fei
- Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Department of Optical Science and Engineering, Shanghai Engineering Research Center of Ultra-Precision Optical Manufacturing, School of Information Science and Technology, Fudan University, Shanghai 200433, China; (Y.K.); (Q.C.); (W.S.); (Y.F.); (J.M.)
| | - Jiong Ma
- Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Department of Optical Science and Engineering, Shanghai Engineering Research Center of Ultra-Precision Optical Manufacturing, School of Information Science and Technology, Fudan University, Shanghai 200433, China; (Y.K.); (Q.C.); (W.S.); (Y.F.); (J.M.)
- Institute of Biomedical Engineering and Technology, Academy for Engineering and Technology, Fudan University, Shanghai 200433, China
- Shanghai Engineering Research Center of Industrial Microorganisms, The Multiscale Research Institute of Complex Systems (MRICS), School of Life Sciences, Fudan University, Shanghai 200433, China
| | - Minbiao Ji
- Department of Physics, Fudan University, Shanghai 200433, China;
| | - Lan Mi
- Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Department of Optical Science and Engineering, Shanghai Engineering Research Center of Ultra-Precision Optical Manufacturing, School of Information Science and Technology, Fudan University, Shanghai 200433, China; (Y.K.); (Q.C.); (W.S.); (Y.F.); (J.M.)
- Institute of Biomedical Engineering and Technology, Academy for Engineering and Technology, Fudan University, Shanghai 200433, China
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Mehta N, Mahigir A, Veronis G, Gartia MR. Hyperspectral dark field optical microscopy for orientational imaging of a single plasmonic nanocube using a physics-based learning method. Nanoscale Adv 2022; 4:4094-4101. [PMID: 36285219 PMCID: PMC9514559 DOI: 10.1039/d2na00469k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 08/23/2022] [Indexed: 06/16/2023]
Abstract
Rotational dynamics at the molecular level could provide additional data regarding protein diffusion and cytoskeleton formation at the cellular level. Due to the isotropic emission pattern of fluorescence molecules, it is challenging to extract rotational information from them during imaging. Metal nanoparticles show a polarization-dependent response and could be used for sensing rotational motion. Nanoparticles as an orientation sensing probe offer bio-compatibility and robustness against photo-blinking and photo-bleaching compared to conventional fluorescent molecules. Previously, asymmetric geometrical structures such as nanorods have been used for orientational imaging. Here, we show orientational imaging of symmetric geometrical structures such as 100 nm isolated silver nanocubes by coupling a hyperspectral detector and a focused ion beam (FIB)-fabricated correlating substrate. More than 100 nanocubes are analyzed to confirm spectral shifts in the scattering spectra due to variations in the orientation of the nanocubes with respect to the incoming light. Results are further validated using finite-difference time-domain simulations. Our observations suggest a novel strategy for high-throughput orientation imaging of nanoparticles.
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Affiliation(s)
- Nishir Mehta
- Department of Mechanical and Industrial Engineering, School of Electrical Engineering and Computer Science, Louisiana State University Baton Rouge Louisiana 70803 USA +1-225-578-5900
| | - Amirreza Mahigir
- School of Electrical Engineering and Computer Science, Louisiana State University Baton Rouge Louisiana 70803 USA
- Center for Computation and Technology, Louisiana State University Baton Rouge Louisiana 70803 USA
| | - Georgios Veronis
- School of Electrical Engineering and Computer Science, Louisiana State University Baton Rouge Louisiana 70803 USA
- Center for Computation and Technology, Louisiana State University Baton Rouge Louisiana 70803 USA
| | - Manas Ranjan Gartia
- Department of Mechanical and Industrial Engineering, School of Electrical Engineering and Computer Science, Louisiana State University Baton Rouge Louisiana 70803 USA +1-225-578-5900
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Kim W, Park E, Yoo HS, Park J, Jung YM, Park JH. Recent Advances in Monitoring Stem Cell Status and Differentiation Using Nano-Biosensing Technologies. Nanomaterials (Basel) 2022; 12:nano12172934. [PMID: 36079970 PMCID: PMC9457759 DOI: 10.3390/nano12172934] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 08/22/2022] [Accepted: 08/23/2022] [Indexed: 05/14/2023]
Abstract
In regenerative medicine, cell therapies using various stem cells have received attention as an alternative to overcome the limitations of existing therapeutic methods. Clinical applications of stem cells require the identification of characteristics at the single-cell level and continuous monitoring during expansion and differentiation. In this review, we recapitulate the application of various stem cells used in regenerative medicine and the latest technological advances in monitoring the differentiation process of stem cells. Single-cell RNA sequencing capable of profiling the expression of many genes at the single-cell level provides a new opportunity to analyze stem cell heterogeneity and to specify molecular markers related to the branching of differentiation lineages. However, this method is destructive and distorted. In addition, the differentiation process of a particular cell cannot be continuously tracked. Therefore, several spectroscopic methods have been developed to overcome these limitations. In particular, the application of Raman spectroscopy to measure the intrinsic vibration spectrum of molecules has been proposed as a powerful method that enables continuous monitoring of biochemical changes in the process of the differentiation of stem cells. This review provides a comprehensive overview of current analytical methods employed for stem cell engineering and future perspectives of nano-biosensing technologies as a platform for the in situ monitoring of stem cell status and differentiation.
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Affiliation(s)
- Wijin Kim
- Department of Biomedical Science, Kangwon National University, Chuncheon 24341, Gangwon-do, Korea
| | - Eungyeong Park
- Department of Chemistry, Kangwon National University, Chuncheon 24341, Gangwon-do, Korea
| | - Hyuk Sang Yoo
- Department of Biomedical Science, Kangwon National University, Chuncheon 24341, Gangwon-do, Korea
- Kangwon Radiation Convergence Research Support Center, Kangwon National University, Chuncheon 24341, Gangwon-do, Korea
| | - Jongmin Park
- Department of Chemistry, Kangwon National University, Chuncheon 24341, Gangwon-do, Korea
| | - Young Mee Jung
- Department of Chemistry, Kangwon National University, Chuncheon 24341, Gangwon-do, Korea
- Kangwon Radiation Convergence Research Support Center, Kangwon National University, Chuncheon 24341, Gangwon-do, Korea
- Correspondence: (Y.M.J.); (J.H.P.); Tel.: +82-33-250-8495 (Y.M.J.); +82-33-250-6566 (J.H.P.)
| | - Ju Hyun Park
- Department of Biomedical Science, Kangwon National University, Chuncheon 24341, Gangwon-do, Korea
- Correspondence: (Y.M.J.); (J.H.P.); Tel.: +82-33-250-8495 (Y.M.J.); +82-33-250-6566 (J.H.P.)
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Tomita S, Ishihara S, Kurita R. A polymer-based chemical tongue for the non-invasive monitoring of osteogenic stem-cell differentiation by pattern recognition of serum-supplemented spent media. J Mater Chem B 2022; 10:7581-7590. [DOI: 10.1039/d2tb00606e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The development of non-invasive techniques to characterize cultured cells is invaluable not only to ensure the reproducibility of cell research, but also for quality assurance of industrial cell products for...
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