1
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Evergren E, Mills IG, Kennedy G. Adaptations of membrane trafficking in cancer and tumorigenesis. J Cell Sci 2024; 137:jcs260943. [PMID: 38770683 PMCID: PMC11166456 DOI: 10.1242/jcs.260943] [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: 05/22/2024] Open
Abstract
Membrane trafficking, a fundamental cellular process encompassing the transport of molecules to specific organelles, endocytosis at the plasma membrane and protein secretion, is crucial for cellular homeostasis and signalling. Cancer cells adapt membrane trafficking to enhance their survival and metabolism, and understanding these adaptations is vital for improving patient responses to therapy and identifying therapeutic targets. In this Review, we provide a concise overview of major membrane trafficking pathways and detail adaptations in these pathways, including COPII-dependent endoplasmic reticulum (ER)-to-Golgi vesicle trafficking, COPI-dependent retrograde Golgi-to-ER trafficking and endocytosis, that have been found in cancer. We explore how these adaptations confer growth advantages or resistance to cell death and conclude by discussing the potential for utilising this knowledge in developing new treatment strategies and overcoming drug resistance for cancer patients.
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Affiliation(s)
- Emma Evergren
- Patrick G. Johnston Centre for Cancer Research, Queen's University Belfast, 97 Lisburn Road, Belfast BT9 7BL, UK
| | - Ian G. Mills
- Patrick G. Johnston Centre for Cancer Research, Queen's University Belfast, 97 Lisburn Road, Belfast BT9 7BL, UK
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford OX3 9DU, UK
| | - Grace Kennedy
- Patrick G. Johnston Centre for Cancer Research, Queen's University Belfast, 97 Lisburn Road, Belfast BT9 7BL, UK
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2
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Liao F, Yang W, Long L, Yu R, Qu H, Peng Y, Lu J, Ren C, Wang Y, Fu C. Elucidating Iron Metabolism through Molecular Imaging. Curr Issues Mol Biol 2024; 46:2798-2818. [PMID: 38666905 PMCID: PMC11049567 DOI: 10.3390/cimb46040175] [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: 02/07/2024] [Revised: 03/18/2024] [Accepted: 03/19/2024] [Indexed: 04/28/2024] Open
Abstract
Iron is essential for many physiological processes, and the dysregulation of its metabolism is implicated in the pathogenesis of various diseases. Recent advances in iron metabolism research have revealed multiple complex pathways critical for maintaining iron homeostasis. Molecular imaging, an interdisciplinary imaging technique, has shown considerable promise in advancing research on iron metabolism. Here, we comprehensively review the multifaceted roles of iron at the cellular and systemic levels (along with the complex regulatory mechanisms of iron metabolism), elucidate appropriate imaging methods, and summarize their utility and fundamental principles in diagnosing and treating diseases related to iron metabolism. Utilizing molecular imaging technology to deeply understand the complexities of iron metabolism and its critical role in physiological and pathological processes offers new possibilities for early disease diagnosis, treatment monitoring, and the development of novel therapies. Despite technological limitations and the need to ensure the biological relevance and clinical applicability of imaging results, molecular imaging technology's potential to reveal the iron metabolic process is unparalleled, providing new insights into the link between iron metabolism abnormalities and various diseases.
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Affiliation(s)
- Feifei Liao
- Beijing University of Traditional Chinese Medicine Graduate School, Beijing University of Chinese Medicine, Beijing 100105, China; (F.L.); (R.Y.); (Y.P.); (J.L.); (C.R.)
- Graduate School, China Academy of Chinese Medical Sciences, Beijing 100091, China; (W.Y.); (L.L.); (H.Q.)
| | - Wenwen Yang
- Graduate School, China Academy of Chinese Medical Sciences, Beijing 100091, China; (W.Y.); (L.L.); (H.Q.)
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Linzi Long
- Graduate School, China Academy of Chinese Medical Sciences, Beijing 100091, China; (W.Y.); (L.L.); (H.Q.)
| | - Ruotong Yu
- Beijing University of Traditional Chinese Medicine Graduate School, Beijing University of Chinese Medicine, Beijing 100105, China; (F.L.); (R.Y.); (Y.P.); (J.L.); (C.R.)
- Graduate School, China Academy of Chinese Medical Sciences, Beijing 100091, China; (W.Y.); (L.L.); (H.Q.)
| | - Hua Qu
- Graduate School, China Academy of Chinese Medical Sciences, Beijing 100091, China; (W.Y.); (L.L.); (H.Q.)
| | - Yuxuan Peng
- Beijing University of Traditional Chinese Medicine Graduate School, Beijing University of Chinese Medicine, Beijing 100105, China; (F.L.); (R.Y.); (Y.P.); (J.L.); (C.R.)
- Graduate School, China Academy of Chinese Medical Sciences, Beijing 100091, China; (W.Y.); (L.L.); (H.Q.)
| | - Jieming Lu
- Beijing University of Traditional Chinese Medicine Graduate School, Beijing University of Chinese Medicine, Beijing 100105, China; (F.L.); (R.Y.); (Y.P.); (J.L.); (C.R.)
- Graduate School, China Academy of Chinese Medical Sciences, Beijing 100091, China; (W.Y.); (L.L.); (H.Q.)
| | - Chenghuan Ren
- Beijing University of Traditional Chinese Medicine Graduate School, Beijing University of Chinese Medicine, Beijing 100105, China; (F.L.); (R.Y.); (Y.P.); (J.L.); (C.R.)
- Graduate School, China Academy of Chinese Medical Sciences, Beijing 100091, China; (W.Y.); (L.L.); (H.Q.)
| | - Yueqi Wang
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Changgeng Fu
- Graduate School, China Academy of Chinese Medical Sciences, Beijing 100091, China; (W.Y.); (L.L.); (H.Q.)
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3
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Zhang YY, Han Y, Li WN, Xu RH, Ju HQ. Tumor iron homeostasis and immune regulation. Trends Pharmacol Sci 2024; 45:145-156. [PMID: 38212195 DOI: 10.1016/j.tips.2023.12.003] [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: 11/30/2023] [Revised: 12/13/2023] [Accepted: 12/14/2023] [Indexed: 01/13/2024]
Abstract
Abnormal iron metabolism has long been regarded as a key metabolic hallmark of cancer. As a critical cofactor, iron contributes to tumor progression by participating in various processes such as mitochondrial electron transport, gene regulation, and DNA synthesis or repair. Although the role of iron in tumor cells has been widely studied, recent studies have uncovered the interplay of iron metabolism between tumor cells and immune cells, which may affect both innate and adaptive immune responses. In this review, we discuss the current understanding of the regulatory networks of iron metabolism between cancer cells and immune cells and how they contribute to antitumor immunity, and we analyze potential therapeutics targeting iron metabolism. Also, we highlight several key challenges and describe potential therapeutic approaches for future investigations.
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Affiliation(s)
- Yan-Yu Zhang
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Sun Yat-sen University, Guangzhou 510060, P. R. China
| | - Yi Han
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Sun Yat-sen University, Guangzhou 510060, P. R. China
| | - Wen-Ning Li
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Sun Yat-sen University, Guangzhou 510060, P. R. China
| | - Rui-Hua Xu
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Sun Yat-sen University, Guangzhou 510060, P. R. China.
| | - Huai-Qiang Ju
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Sun Yat-sen University, Guangzhou 510060, P. R. China.
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4
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Barra J, Crosbourne I, Roberge CL, Bossardi-Ramos R, Warren JSA, Matteson K, Wang L, Jourd'heuil F, Borisov SM, Bresnahan E, Bravo-Cordero JJ, Dmitriev RI, Jourd'heuil D, Adam AP, Lamar JM, Corr DT, Barroso MM. DMT1-dependent endosome-mitochondria interactions regulate mitochondrial iron translocation and metastatic outgrowth. Oncogene 2024; 43:650-667. [PMID: 38184712 PMCID: PMC10890933 DOI: 10.1038/s41388-023-02933-x] [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: 03/14/2023] [Revised: 12/18/2023] [Accepted: 12/21/2023] [Indexed: 01/08/2024]
Abstract
Transient early endosome (EE)-mitochondria interactions can mediate mitochondrial iron translocation, but the associated mechanisms are still elusive. We showed that Divalent Metal Transporter 1 (DMT1) sustains mitochondrial iron translocation via EE-mitochondria interactions in triple-negative MDA-MB-231, but not in luminal A T47D breast cancer cells. DMT1 silencing increases labile iron pool (LIP) levels and activates PINK1/Parkin-dependent mitophagy in MDA-MB-231 cells. Mitochondrial bioenergetics and the iron-associated protein profile were altered by DMT1 silencing and rescued by DMT1 re-expression. Transcriptomic profiles upon DMT1 silencing are strikingly different between 2D and 3D culture conditions, suggesting that the environment context is crucial for the DMT1 knockout phenotype observed in MDA-MB-231 cells. Lastly, in vivo lung metastasis assay revealed that DMT1 silencing promoted the outgrowth of lung metastatic nodules in both human and murine models of triple-negative breast cancer cells. These findings reveal a DMT1-dependent pathway connecting EE-mitochondria interactions to mitochondrial iron translocation and metastatic fitness of breast cancer cells.
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Affiliation(s)
- Jonathan Barra
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY, 12208, USA
- Department of Medicine, Division of Hematology and Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Isaiah Crosbourne
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY, 12208, USA
| | - Cassandra L Roberge
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY, 12208, USA
| | - Ramon Bossardi-Ramos
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY, 12208, USA
| | - Janine S A Warren
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY, 12208, USA
| | - Kailie Matteson
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY, 12208, USA
- Department of Medicine, Division of Hematology and Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Ling Wang
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY, 12208, USA
- Department of Biomedical Engineering, Binghamton University, Binghamton, NY, 13902, USA
| | - Frances Jourd'heuil
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY, 12208, USA
| | - Sergey M Borisov
- Institute of Analytical Chemistry and Food Chemistry, Graz University of Technology Stremayrgasse 9, 8010, Graz, Austria
| | - Erin Bresnahan
- Department of Medicine, Division of Hematology and Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Jose Javier Bravo-Cordero
- Department of Medicine, Division of Hematology and Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Ruslan I Dmitriev
- Tissue Engineering and Biomaterials Group, Department of Human Structure and Repair, Faculty of Medical and Health Sciences, Ghent University, C. Heymanslaan 10, 9000, Ghent, Belgium
| | - David Jourd'heuil
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY, 12208, USA
| | - Alejandro P Adam
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY, 12208, USA
| | - John M Lamar
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY, 12208, USA
| | - David T Corr
- Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, 12180-3590, USA
| | - Margarida M Barroso
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY, 12208, USA.
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5
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Wang L, Goldwag J, Bouyea M, Barra J, Matteson K, Maharjan N, Eladdadi A, Embrechts MJ, Intes X, Kruger U, Barroso M. Spatial topology of organelle is a new breast cancer cell classifier. iScience 2023; 26:107229. [PMID: 37519903 PMCID: PMC10384275 DOI: 10.1016/j.isci.2023.107229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 05/10/2023] [Accepted: 06/23/2023] [Indexed: 08/01/2023] Open
Abstract
Genomics and proteomics have been central to identify tumor cell populations, but more accurate approaches to classify cell subtypes are still lacking. We propose a new methodology to accurately classify cancer cells based on their organelle spatial topology. Herein, we developed an organelle topology-based cell classification pipeline (OTCCP), which integrates artificial intelligence (AI) and imaging quantification to analyze organelle spatial distribution and inter-organelle topology. OTCCP was used to classify a panel of human breast cancer cells, grown as 2D monolayer or 3D tumor spheroids using early endosomes, mitochondria, and their inter-organelle contacts. Organelle topology allows for a highly precise differentiation between cell lines of different subtypes and aggressiveness. These findings lay the groundwork for using organelle topological profiling as a fast and efficient method for phenotyping breast cancer function as well as a discovery tool to advance our understanding of cancer cell biology at the subcellular level.
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Affiliation(s)
- Ling Wang
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY 12208, USA
| | - Joshua Goldwag
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY 12208, USA
| | - Megan Bouyea
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY 12208, USA
| | - Jonathan Barra
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY 12208, USA
| | - Kailie Matteson
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY 12208, USA
| | - Niva Maharjan
- Department of Mathematics, The College of Saint Rose, Albany, NY 12203, USA
| | - Amina Eladdadi
- Department of Mathematics, The College of Saint Rose, Albany, NY 12203, USA
| | - Mark J. Embrechts
- Department of Industrial and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
| | - Xavier Intes
- Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
| | - Uwe Kruger
- Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
| | - Margarida Barroso
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY 12208, USA
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6
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Ma X, Zhao J, Feng H. Targeting iron metabolism in osteosarcoma. Discov Oncol 2023; 14:31. [PMID: 36897430 PMCID: PMC10006389 DOI: 10.1007/s12672-023-00637-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Accepted: 02/28/2023] [Indexed: 03/11/2023] Open
Abstract
Osteosarcoma (OS) is the most common primary solid malignant tumour of bone, with rapid progression and a very poor prognosis. Iron is an essential nutrient that makes it an important player in cellular activities due to its inherent ability to exchange electrons, and its metabolic abnormalities are associated with a variety of diseases. The body tightly regulates iron content at the systemic and cellular levels through various mechanisms to prevent iron deficiency and overload from damaging the body. OS cells regulate various mechanisms to increase the intracellular iron concentration to accelerate proliferation, and some studies have revealed the hidden link between iron metabolism and the occurrence and development of OS. This article briefly describes the process of normal iron metabolism, and focuses on the research progress of abnormal iron metabolism in OS from the systemic and cellular levels.
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Affiliation(s)
- Xiaowei Ma
- Department of Orthopedics, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Nanli, Panjiayuan, Chaoyang District, Beijing, 100021, People's Republic of China
- Department of Orthopedics, The Fourth Hospital of Hebei Medical University, 12 Health Road, Hebei Province, Shijiazhuang, 050011, People's Republic of China
| | - Jiazheng Zhao
- Department of Orthopedics, The Fourth Hospital of Hebei Medical University, 12 Health Road, Hebei Province, Shijiazhuang, 050011, People's Republic of China
| | - Helin Feng
- Department of Orthopedics, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Nanli, Panjiayuan, Chaoyang District, Beijing, 100021, People's Republic of China.
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7
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Chean KT, Aalinkeel R, Abbasi S, Sharikova AV, Schwartz SA, Khmaladze A, Mahajan SD. Raman spectroscopy based molecular signatures of methamphetamine and HIV induced mitochondrial dysfunction. Biochem Biophys Res Commun 2022; 621:116-121. [PMID: 35820281 DOI: 10.1016/j.bbrc.2022.06.098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Revised: 06/14/2022] [Accepted: 06/29/2022] [Indexed: 11/02/2022]
Abstract
METH and HIV Tat treatment results in increased oxidative stress which affects cellular metabolism and causes DNA damage in the treated microglia. Both, METH ± HIV Tat impair mitochondrial respiration, leading to dysfunction in bioenergetics and increased ROS in microglial cells. Our data indicate that mitochondrial dysfunction may be key to the METH and/or HIV Tat-induced neuropathology. METH and/or HIV Tat induced changes in the protein, lipid and nucleotide concentration in microglial cells were measured by Raman Spectroscopy, and we speculate that these fundamental molecular-cellular changes in microglial cells contribute to the neuropathology that is associated with METH abuse in HIV patients.
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Affiliation(s)
- Khoo Ting Chean
- Department of Physics, University at Albany SUNY, 1400 Washington Avenue, Albany, NY, 12222, USA
| | - Ravikumar Aalinkeel
- Department of Medicine, Division of Allergy, Immunology & Rheumatology, Jacobs School of Medicine & Biomedical Sciences, University at Buffalo's Clinical Translational Research Center, Buffalo, NY, 14203, USA
| | - Serfraz Abbasi
- Department of Medicine, Division of Allergy, Immunology & Rheumatology, Jacobs School of Medicine & Biomedical Sciences, University at Buffalo's Clinical Translational Research Center, Buffalo, NY, 14203, USA
| | - Anna V Sharikova
- Department of Physics, University at Albany SUNY, 1400 Washington Avenue, Albany, NY, 12222, USA
| | - Stanley A Schwartz
- Department of Medicine, Division of Allergy, Immunology & Rheumatology, Jacobs School of Medicine & Biomedical Sciences, University at Buffalo's Clinical Translational Research Center, Buffalo, NY, 14203, USA
| | - Alexander Khmaladze
- Department of Physics, University at Albany SUNY, 1400 Washington Avenue, Albany, NY, 12222, USA
| | - Supriya D Mahajan
- Department of Medicine, Division of Allergy, Immunology & Rheumatology, Jacobs School of Medicine & Biomedical Sciences, University at Buffalo's Clinical Translational Research Center, Buffalo, NY, 14203, USA.
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Tubbesing K, Moskwa N, Khoo TC, Nelson DA, Sharikova A, Feng Y, Larsen M, Khmaladze A. Raman microspectroscopy fingerprinting of organoid differentiation state. Cell Mol Biol Lett 2022; 27:53. [PMID: 35764935 PMCID: PMC9238268 DOI: 10.1186/s11658-022-00347-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Accepted: 05/24/2022] [Indexed: 12/02/2022] Open
Abstract
Background Organoids, which are organs grown in a dish from stem or progenitor cells, model the structure and function of organs and can be used to define molecular events during organ formation, model human disease, assess drug responses, and perform grafting in vivo for regenerative medicine approaches. For therapeutic applications, there is a need for nondestructive methods to identify the differentiation state of unlabeled organoids in response to treatment with growth factors or pharmacologicals. Methods Using complex 3D submandibular salivary gland organoids developed from embryonic progenitor cells, which respond to EGF by proliferating and FGF2 by undergoing branching morphogenesis and proacinar differentiation, we developed Raman confocal microspectroscopy methods to define Raman signatures for each of these organoid states using both fixed and live organoids. Results Three separate quantitative comparisons, Raman spectral features, multivariate analysis, and machine learning, classified distinct organoid differentiation signatures and revealed that the Raman spectral signatures were predictive of organoid phenotype. Conclusions As the organoids were unlabeled, intact, and hydrated at the time of imaging, Raman spectral fingerprints can be used to noninvasively distinguish between different organoid phenotypes for future applications in disease modeling, drug screening, and regenerative medicine. Supplementary Information The online version contains supplementary material available at 10.1186/s11658-022-00347-3. Salivary gland organoids have unique Raman signatures detectable with a confocal-based Raman imaging approach. Raman signatures can be detected in unlabeled fixed or live organoids. Raman spectral signatures effectively predict organoid phenotypes.
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Xu Y, Hou X, Zhu Q, Mao S, Ren J, Lin J, Xu N. Phenotype Identification of HeLa Cells Knockout CDK6 Gene Based on Label-Free Raman Imaging. Anal Chem 2022; 94:8890-8898. [PMID: 35704426 DOI: 10.1021/acs.analchem.2c00188] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Identifying cell phenotypes is essential for understanding the function of biological macromolecules and molecular biology. We developed a noninvasive, label-free, single-cell Raman imaging analysis platform to distinguish between the cell phenotypes of the HeLa cell wild type (WT) and cyclin-dependent kinase 6 (CDK6) gene knockout (KO) type. Via large-scale Raman spectral and imaging analysis, two phenotypes of the HeLa cells were distinguished by their intrinsic biochemical profiles. A significant difference was found between the two cell lines: large lipid droplets formed in the knockout HeLa cells but were not observed in the WT cells, which was confirmed by Oil Red O staining. The band ratio of the Raman spectrum of saturated/unsaturated fatty acids was identified as the Raman spectral marker for HeLa cell WT or gene knockout type differentiation. The interaction between organelles involved in lipid metabolism was revealed by Raman imaging and Lorentz fitting, where the distribution intensity of the mitochondria and the endoplasmic reticulum membrane decreased. At the same time, lysosomes increased after the CDK6 gene knockout. The parameters obtained from Raman spectroscopy are based on hierarchical cluster analysis and one-way ANOVA, enabling highly accurate cell classification.
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Affiliation(s)
- Ying Xu
- Institute of Drug Development & Chemical Biology, College of Pharmaceutical Science, Institute of Drug Development & Chemical Biology, Zhejiang University of Technology, Huzhou, Zhejiang 313200, People's Republic of China
| | - Xiaoli Hou
- Academy of Chinese Medical Science, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, People's Republic of China
| | - Qiaoqiao Zhu
- Institute of Drug Development & Chemical Biology, College of Pharmaceutical Science, Institute of Drug Development & Chemical Biology, Zhejiang University of Technology, Huzhou, Zhejiang 313200, People's Republic of China
| | - Shijie Mao
- Institute of Drug Development & Chemical Biology, College of Pharmaceutical Science, Institute of Drug Development & Chemical Biology, Zhejiang University of Technology, Huzhou, Zhejiang 313200, People's Republic of China
| | - Jie Ren
- Institute of Drug Development & Chemical Biology, College of Pharmaceutical Science, Institute of Drug Development & Chemical Biology, Zhejiang University of Technology, Huzhou, Zhejiang 313200, People's Republic of China
| | - Jidong Lin
- Institute of Drug Development & Chemical Biology, College of Pharmaceutical Science, Institute of Drug Development & Chemical Biology, Zhejiang University of Technology, Huzhou, Zhejiang 313200, People's Republic of China
| | - Ning Xu
- Institute of Drug Development & Chemical Biology, College of Pharmaceutical Science, Institute of Drug Development & Chemical Biology, Zhejiang University of Technology, Huzhou, Zhejiang 313200, People's Republic of China
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10
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Bai M, Yang M, Gong J, Xu H, Wei Z. Progress and Principle of Drug Nanocrystals for Tumor Targeted Delivery. AAPS PharmSciTech 2021; 23:41. [PMID: 34964079 DOI: 10.1208/s12249-021-02200-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 12/09/2021] [Indexed: 12/26/2022] Open
Abstract
Drugs are referred to as drug nanocrystals when they exist as nanoscale crystal structures. This kind of nanocarrier has been widely utilized to increase the solubility and absorption for poorly aqueous soluble drugs after oral administration, or prolong the drug circulation when intravenous administration. The systemic cytotoxicity caused by antitumor drugs usually come from the nonspecific drug distribution. To solve the disadvantage of poor targetability, drug nanocrystals for tumor targeted delivery have been developed in recent years. In this review, the targeting mechanisms of various surface modified drug nanocrystals are introduced with the focus on passive targeting, active targeting and stimuli-responsive targeting in details. Function and application of common surface modified materials are also discussed.
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11
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Xing F, Liu YC, Huang S, Lyu X, Su SM, Chan UI, Wu PC, Yan Y, Ai N, Li J, Zhao M, Rajendran BK, Liu J, Shao F, Sun H, Choi TK, Zhu W, Luo G, Liu S, Xu DL, Chan KL, Zhao Q, Miao K, Luo KQ, Ge W, Xu X, Wang G, Liu TM, Deng CX. Accelerating precision anti-cancer therapy by time-lapse and label-free 3D tumor slice culture platform. Theranostics 2021; 11:9415-9430. [PMID: 34646378 PMCID: PMC8490519 DOI: 10.7150/thno.59533] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 06/29/2021] [Indexed: 11/30/2022] Open
Abstract
The feasibility of personalized medicine for cancer treatment is largely hampered by costly, labor-intensive and time-consuming models for drug discovery. Herein, establishing new pre-clinical models to tackle these issues for personalized medicine is urgently demanded. Methods: We established a three-dimensional tumor slice culture (3D-TSC) platform incorporating label-free techniques for time-course experiments to predict anti-cancer drug efficacy and validated the 3D-TSC model by multiphoton fluorescence microscopy, RNA sequence analysis, histochemical and histological analysis. Results: Using time-lapse imaging of the apoptotic reporter sensor C3 (C3), we performed cell-based high-throughput drug screening and shortlisted high-efficacy drugs to screen murine and human 3D-TSCs, which validate effective candidates within 7 days of surgery. Histological and RNA sequence analyses demonstrated that 3D-TSCs accurately preserved immune components of the original tumor, which enables the successful achievement of immune checkpoint blockade assays with antibodies against PD-1 and/or PD-L1. Label-free multiphoton fluorescence imaging revealed that 3D-TSCs exhibit lipofuscin autofluorescence features in the time-course monitoring of drug response and efficacy. Conclusion: This technology accelerates precision anti-cancer therapy by providing a cheap, fast, and easy platform for anti-cancer drug discovery.
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12
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Hsiao CB, Bedi H, Gomez R, Khan A, Meciszewski T, Aalinkeel R, Khoo TC, Sharikova AV, Khmaladze A, Mahajan SD. Telomere Length Shortening in Microglia: Implication for Accelerated Senescence and Neurocognitive Deficits in HIV. Vaccines (Basel) 2021; 9:721. [PMID: 34358137 PMCID: PMC8310244 DOI: 10.3390/vaccines9070721] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 06/17/2021] [Accepted: 06/23/2021] [Indexed: 01/21/2023] Open
Abstract
The widespread use of combination antiretroviral therapy (cART) has led to the accelerated aging of the HIV-infected population, and these patients continue to have a range of mild to moderate HIV-associated neurocognitive disorders (HAND). Infection results in altered mitochondrial function. The HIV-1 viral protein Tat significantly alters mtDNA content and enhances oxidative stress in immune cells. Microglia are the immune cells of the central nervous system (CNS) that exhibit a significant mitotic potential and are thus susceptible to telomere shortening. HIV disrupts the normal interplay between microglia and neurons, thereby inducing neurodegeneration. HIV cART contributes to the inhibition of telomerase activity and premature telomere shortening in activated peripheral blood mononuclear cells (PBMC). However, limited information is available on the effect of cART on telomere length (TL) in microglia. Although it is well established that telomere shortening induces cell senescence and contributes to the development of age-related neuro-pathologies, the effect of HIV-Tat on telomere length in human microglial cells and its potential contribution to HAND are not well understood. It is speculated that in HAND intrinsic molecular mechanisms that control energy production underlie microglia-mediated neuronal injury. TL, telomerase and mtDNA expression were quantified in microglial cells using real time PCR. Cellular energetics were measured using the Seahorse assay. The changes in mitochondrial function were examined by Raman Spectroscopy. We have also examined TL in the PBMC obtained from HIV-1 infected rapid progressors (RP) on cART and those who were cART naïve, and observed a significant decrease in telomere length in RP on cART as compared to RP's who were cART naïve. We observed a significant decrease in telomerase activity, telomere length and mitochondrial function, and an increase in oxidative stress in human microglial cells treated with HIV Tat. Neurocognitive impairment in HIV disease may in part be due to accelerated neuro-pathogenesis in microglial cells, which is attributable to increased oxidative stress and mitochondrial dysfunction.
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Affiliation(s)
- Chiu-Bin Hsiao
- Medicine Institute, School of Medicine, Infectious Diseases, Drexel University, Positive Health Clinic, Allegheny General Hospital, Allegheny Health Network, Pittsburgh, PA 15212, USA;
| | - Harneet Bedi
- Department of Medicine, Division of Allergy, Immunology & Rheumatology, University at Buffalo’s Clinical Translational Research Center, Buffalo, NY 14203, USA; (H.B.); (R.G.); (A.K.); (T.M.); (R.A.)
| | - Raquel Gomez
- Department of Medicine, Division of Allergy, Immunology & Rheumatology, University at Buffalo’s Clinical Translational Research Center, Buffalo, NY 14203, USA; (H.B.); (R.G.); (A.K.); (T.M.); (R.A.)
| | - Ayesha Khan
- Department of Medicine, Division of Allergy, Immunology & Rheumatology, University at Buffalo’s Clinical Translational Research Center, Buffalo, NY 14203, USA; (H.B.); (R.G.); (A.K.); (T.M.); (R.A.)
| | - Taylor Meciszewski
- Department of Medicine, Division of Allergy, Immunology & Rheumatology, University at Buffalo’s Clinical Translational Research Center, Buffalo, NY 14203, USA; (H.B.); (R.G.); (A.K.); (T.M.); (R.A.)
| | - Ravikumar Aalinkeel
- Department of Medicine, Division of Allergy, Immunology & Rheumatology, University at Buffalo’s Clinical Translational Research Center, Buffalo, NY 14203, USA; (H.B.); (R.G.); (A.K.); (T.M.); (R.A.)
| | - Ting Chean Khoo
- Department of Physics, University at Albany SUNY, Albany, NY 12222, USA; (T.C.K.); (A.V.S.); (A.K.)
| | - Anna V. Sharikova
- Department of Physics, University at Albany SUNY, Albany, NY 12222, USA; (T.C.K.); (A.V.S.); (A.K.)
| | - Alexander Khmaladze
- Department of Physics, University at Albany SUNY, Albany, NY 12222, USA; (T.C.K.); (A.V.S.); (A.K.)
| | - Supriya D. Mahajan
- Department of Medicine, Division of Allergy, Immunology & Rheumatology, University at Buffalo’s Clinical Translational Research Center, Buffalo, NY 14203, USA; (H.B.); (R.G.); (A.K.); (T.M.); (R.A.)
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Tubbesing K, Khoo TC, Bahreini Jangjoo S, Sharikova A, Barroso M, Khmaladze A. Iron-binding cellular profile of transferrin using label-free Raman hyperspectral imaging and singular value decomposition (SVD). Free Radic Biol Med 2021; 169:416-424. [PMID: 33930515 PMCID: PMC8667008 DOI: 10.1016/j.freeradbiomed.2021.04.030] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 04/12/2021] [Accepted: 04/21/2021] [Indexed: 01/07/2023]
Abstract
Serum transferrin (Tf) is the essential iron transport protein in the body. Transferrin is responsible for the sequestration of free iron in serum and the delivery of iron throughout the body and into cells, where iron is released inside a mildly acidified endosome. Altered iron distributions are associated with diseases such as iron-overload, cancer, and cardiovascular disease. The presence of free iron is linked to deleterious redox reactions, inside and outside cells and organelles. As Tf iron release is pH dependent, any changes in intraorganelle and extracellular pH, often associated with disease progression, could inhibit normal iron delivery or accelerate iron release in the wrong compartment. However, imaging approaches to monitor changes in the iron-bound state of Tf are lacking. Recently, Raman spectroscopy has been shown to measure iron-bound forms of Tf in solution, intact cells and tissue samples. Here, a biochemical Raman assay has been developed to identify iron-release from Tf following modification of chemical environment. Quantitative singular value decomposition (SVD) method has been applied to discriminate between iron-bound Tf samples during endocytic trafficking in intact cancer cells subjected to Raman hyperspectral confocal imaging. We demonstrate the strength of the SVD method to monitor pH-induced Tf iron-release using Raman hyperspectral imaging, providing the redox biology field with a novel tool that facilitates subcellular investigation of the iron-binding profile of transferrin in various disease models.
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Affiliation(s)
- Kate Tubbesing
- Physics Department, SUNY University at Albany, 1400 Washington Avenue, Albany, NY, 12222, USA
| | - Ting Chean Khoo
- Physics Department, SUNY University at Albany, 1400 Washington Avenue, Albany, NY, 12222, USA
| | - Shahab Bahreini Jangjoo
- Physics Department, SUNY University at Albany, 1400 Washington Avenue, Albany, NY, 12222, USA
| | - Anna Sharikova
- Physics Department, SUNY University at Albany, 1400 Washington Avenue, Albany, NY, 12222, USA
| | - Margarida Barroso
- Department of Molecular and Cellular Physiology, Albany Medical College, 47 New Scotland Avenue, Albany, NY, 12208, USA
| | - Alexander Khmaladze
- Physics Department, SUNY University at Albany, 1400 Washington Avenue, Albany, NY, 12222, USA.
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Rudkouskaya A, Sinsuebphon N, Ochoa M, Chen SJ, Mazurkiewicz JE, Intes X, Barroso M. Multiplexed non-invasive tumor imaging of glucose metabolism and receptor-ligand engagement using dark quencher FRET acceptor. Theranostics 2020; 10:10309-10325. [PMID: 32929350 PMCID: PMC7481426 DOI: 10.7150/thno.45825] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Accepted: 07/25/2020] [Indexed: 12/31/2022] Open
Abstract
Rationale: Following an ever-increased focus on personalized medicine, there is a continuing need to develop preclinical molecular imaging modalities to guide the development and optimization of targeted therapies. Near-Infrared (NIR) Macroscopic Fluorescence Lifetime Förster Resonance Energy Transfer (MFLI-FRET) imaging offers a unique method to robustly quantify receptor-ligand engagement in live intact animals, which is critical to assess the delivery efficacy of therapeutics. However, to date, non-invasive imaging approaches that can simultaneously measure cellular drug delivery efficacy and metabolic response are lacking. A major challenge for the implementation of concurrent optical and MFLI-FRET in vivo whole-body preclinical imaging is the spectral crowding and cross-contamination between fluorescent probes. Methods: We report on a strategy that relies on a dark quencher enabling simultaneous assessment of receptor-ligand engagement and tumor metabolism in intact live mice. Several optical imaging approaches, such as in vitro NIR FLI microscopy (FLIM) and in vivo wide-field MFLI, were used to validate a novel donor-dark quencher FRET pair. IRDye 800CW 2-deoxyglucose (2-DG) imaging was multiplexed with MFLI-FRET of NIR-labeled transferrin FRET pair (Tf-AF700/Tf-QC-1) to monitor tumor metabolism and probe uptake in breast tumor xenografts in intact live nude mice. Immunohistochemistry was used to validate in vivo imaging results. Results: First, we establish that IRDye QC-1 (QC-1) is an effective NIR dark acceptor for the FRET-induced quenching of donor Alexa Fluor 700 (AF700). Second, we report on simultaneous in vivo imaging of the metabolic probe 2-DG and MFLI-FRET imaging of Tf-AF700/Tf-QC-1 uptake in tumors. Such multiplexed imaging revealed an inverse relationship between 2-DG uptake and Tf intracellular delivery, suggesting that 2-DG signal may predict the efficacy of intracellular targeted delivery. Conclusions: Overall, our methodology enables for the first time simultaneous non-invasive monitoring of intracellular drug delivery and metabolic response in preclinical studies.
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Affiliation(s)
- Alena Rudkouskaya
- Department of Cellular and Molecular Physiology, Albany Medical College, Albany, NY 12208, USA
| | - Nattawut Sinsuebphon
- Center for Modeling, Simulation, and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
| | - Marien Ochoa
- Center for Modeling, Simulation, and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
| | - Sez-Jade Chen
- Center for Modeling, Simulation, and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
| | - Joseph E. Mazurkiewicz
- Department of Neuroscience and Experimental Therapeutics, Albany Medical College, Albany, NY 12208, USA
| | - Xavier Intes
- Center for Modeling, Simulation, and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
| | - Margarida Barroso
- Department of Cellular and Molecular Physiology, Albany Medical College, Albany, NY 12208, USA
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