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Mikheeva AM, Bogomolov MA, Gasca VA, Sementsov MV, Spirin PV, Prassolov VS, Lebedev TD. Improving the power of drug toxicity measurements by quantitative nuclei imaging. Cell Death Discov 2024; 10:181. [PMID: 38637526 PMCID: PMC11026393 DOI: 10.1038/s41420-024-01950-3] [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: 01/16/2024] [Revised: 03/29/2024] [Accepted: 04/08/2024] [Indexed: 04/20/2024] Open
Abstract
Imaging-based anticancer drug screens are becoming more prevalent due to development of automated fluorescent microscopes and imaging stations, as well as rapid advancements in image processing software. Automated cell imaging provides many benefits such as their ability to provide high-content data, modularity, dynamics recording and the fact that imaging is the most direct way to access cell viability and cell proliferation. However, currently most publicly available large-scale anticancer drugs screens, such as GDSC, CTRP and NCI-60, provide cell viability data measured by assays based on colorimetric or luminometric measurements of NADH or ATP levels. Although such datasets provide valuable data, it is unclear how well drug toxicity measurements can be integrated with imaging data. Here we explored the relations between drug toxicity data obtained by XTT assay, two quantitative nuclei imaging methods and trypan blue dye exclusion assay using a set of four cancer cell lines with different morphologies and 30 drugs with different mechanisms of action. We show that imaging-based approaches provide high accuracy and the differences between results obtained by different methods highly depend on drug mechanism of action. Selecting AUC metrics over IC50 or comparing data where significantly drugs reduced cell numbers noticeably improves consistency between methods. Using automated cell segmentation protocols we analyzed mitochondria activity in more than 11 thousand drug-treated cells and showed that XTT assay produces unreliable data for CDK4/6, Aurora A, VEGFR and PARP inhibitors due induced cell size growth and increase in individual mitochondria activity. We also explored several benefits of image-based analysis such as ability to monitor cell number dynamics, dissect changes in total and individual mitochondria activity from cell proliferation, and ability to identify chromatin remodeling drugs. Finally, we provide a web tool that allows comparing results obtained by different methods.
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Affiliation(s)
- Alesya M Mikheeva
- Department of Cancer Cell Biology, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 32 Vavilova str., Moscow, 119991, Russia
- Moscow Institute of Physics and Technology (National Research University), 9 Institutskiy per., Dolgoprudny, Moscow Region, 141701, Russia
| | - Mikhail A Bogomolov
- Department of Cancer Cell Biology, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 32 Vavilova str., Moscow, 119991, Russia
- Moscow Institute of Physics and Technology (National Research University), 9 Institutskiy per., Dolgoprudny, Moscow Region, 141701, Russia
| | - Valentina A Gasca
- Department of Cancer Cell Biology, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 32 Vavilova str., Moscow, 119991, Russia
- Moscow Institute of Physics and Technology (National Research University), 9 Institutskiy per., Dolgoprudny, Moscow Region, 141701, Russia
| | - Mikhail V Sementsov
- Department of Cancer Cell Biology, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 32 Vavilova str., Moscow, 119991, Russia
- Moscow Institute of Physics and Technology (National Research University), 9 Institutskiy per., Dolgoprudny, Moscow Region, 141701, Russia
| | - Pavel V Spirin
- Department of Cancer Cell Biology, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 32 Vavilova str., Moscow, 119991, Russia
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 32 Vavilova str., Moscow, 119991, Russia
| | - Vladimir S Prassolov
- Department of Cancer Cell Biology, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 32 Vavilova str., Moscow, 119991, Russia
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 32 Vavilova str., Moscow, 119991, Russia
| | - Timofey D Lebedev
- Department of Cancer Cell Biology, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 32 Vavilova str., Moscow, 119991, Russia.
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 32 Vavilova str., Moscow, 119991, Russia.
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Guo T, Zhao S, Zhu W, Zhou H, Cheng H. Research progress on the biological basis of Traditional Chinese Medicine syndromes of gastrointestinal cancers. Heliyon 2023; 9:e20653. [PMID: 38027682 PMCID: PMC10643116 DOI: 10.1016/j.heliyon.2023.e20653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 09/23/2023] [Accepted: 10/03/2023] [Indexed: 12/01/2023] Open
Abstract
Gastrointestinal cancers account for 11.6 % of all cancers, and are the second most frequently diagnosed type of cancer worldwide. Traditional Chinese medicine (TCM), together with Western medicine or alone, has unique advantages for the prevention and treatment of cancers, including gastrointestinal cancers. Syndrome differentiation and treatment are basic characteristics of the theoretical system of TCM. TCM syndromes are the result of the differentiation of the syndrome and the basis of treatment. Genomics, transcriptomics, proteomics, metabolomics, intestinal microbiota, and serology, generated around the central law, are used to study the biological basis of TCM syndromes in gastrointestinal cancers. This review summarizes current research on the biological basis of TCM syndrome in gastrointestinal cancers and provides useful references for future research on TCM syndrome in gastrointestinal cancers.
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Affiliation(s)
- Tianhao Guo
- Institute of Health and Regimen, Jiangsu Open University, Nanjing, Jiangsu 210036, China
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine Prevention and Treatment of Tumor, Nanjing, Jiangsu 210023, China
- The First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210023, China
| | - Shuoqi Zhao
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine Prevention and Treatment of Tumor, Nanjing, Jiangsu 210023, China
- The First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210023, China
| | - Wenjian Zhu
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine Prevention and Treatment of Tumor, Nanjing, Jiangsu 210023, China
- The First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210023, China
| | - Hongguang Zhou
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine Prevention and Treatment of Tumor, Nanjing, Jiangsu 210023, China
- The First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210023, China
- Departments of Oncology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210029, China
| | - Haibo Cheng
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine Prevention and Treatment of Tumor, Nanjing, Jiangsu 210023, China
- The First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210023, China
- Departments of Oncology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210029, China
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Stossi F, Singh PK, Safari K, Marini M, Labate D, Mancini MA. High throughput microscopy and single cell phenotypic image-based analysis in toxicology and drug discovery. Biochem Pharmacol 2023; 216:115770. [PMID: 37660829 DOI: 10.1016/j.bcp.2023.115770] [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: 06/01/2023] [Revised: 08/23/2023] [Accepted: 08/25/2023] [Indexed: 09/05/2023]
Abstract
Measuring single cell responses to the universe of chemicals (drugs, natural products, environmental toxicants etc.) is of paramount importance to human health as phenotypic variability in sensing stimuli is a hallmark of biology that is considered during high throughput screening. One of the ways to approach this problem is via high throughput, microscopy-based assays coupled with multi-dimensional single cell analysis methods. Here, we will summarize some of the efforts in this vast and growing field, focusing on phenotypic screens (e.g., Cell Painting), single cell analytics and quality control, with particular attention to environmental toxicology and drug screening. We will discuss advantages and limitations of high throughput assays with various end points and levels of complexity.
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Affiliation(s)
- Fabio Stossi
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA; GCC Center for Advanced Microscopy and Image Informatics, Houston, TX, USA.
| | - Pankaj K Singh
- GCC Center for Advanced Microscopy and Image Informatics, Houston, TX, USA; Center for Translational Cancer Research, Institute of Biosciences and Technology, Texas A&M University, Houston, TX, USA
| | - Kazem Safari
- GCC Center for Advanced Microscopy and Image Informatics, Houston, TX, USA; Center for Translational Cancer Research, Institute of Biosciences and Technology, Texas A&M University, Houston, TX, USA
| | - Michela Marini
- GCC Center for Advanced Microscopy and Image Informatics, Houston, TX, USA; Department of Mathematics, University of Houston, Houston, TX, USA
| | - Demetrio Labate
- GCC Center for Advanced Microscopy and Image Informatics, Houston, TX, USA; Department of Mathematics, University of Houston, Houston, TX, USA
| | - Michael A Mancini
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA; GCC Center for Advanced Microscopy and Image Informatics, Houston, TX, USA; Center for Translational Cancer Research, Institute of Biosciences and Technology, Texas A&M University, Houston, TX, USA
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Rudd SG. Targeting pan-essential pathways in cancer with cytotoxic chemotherapy: challenges and opportunities. Cancer Chemother Pharmacol 2023; 92:241-251. [PMID: 37452860 PMCID: PMC10435635 DOI: 10.1007/s00280-023-04562-3] [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: 02/06/2023] [Accepted: 06/22/2023] [Indexed: 07/18/2023]
Abstract
Cytotoxic chemotherapy remains a key modality in cancer treatment. These therapies, successfully used for decades, continue to transform the lives of cancer patients daily. With the high attrition rate of current oncology drug development, combined with the knowledge that most new therapies do not displace standard-of-care treatments and that many healthcare systems cannot afford these new therapies; cytotoxic chemotherapies will remain an important component of cancer therapy for many years to come. The clinical value of these therapies is often under-appreciated within the pre-clinical cancer research community, where this diverse class of agents are often grouped together as non-specific cellular poisons killing tumor cells based solely upon proliferation rate; however, this is inaccurate. This review article seeks to reaffirm the importance of focusing research efforts upon improving our basic understanding of how these drugs work, discussing their ability to target pan-essential pathways in cancer cells, the relationship of this to the chemotherapeutic window, and highlighting basic science approaches that can be employed towards refining their use.
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Affiliation(s)
- Sean G Rudd
- Science For Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
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Dong T, Han C, Liu X, Wang Z, Wang Y, Kang Q, Wang P, Zhou F. Live Cells versus Fixated Cells: Kinetic Measurements of Biomolecular Interactions with the LigandTracer Method and Surface Plasmon Resonance Microscopy. Mol Pharm 2023; 20:2094-2104. [PMID: 36939457 DOI: 10.1021/acs.molpharmaceut.2c01047] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/21/2023]
Abstract
Cell-based kinetic studies of ligand or candidate drug binding to membrane proteins have produced affinity and kinetic values that are different from measurements using purified proteins. However, ligand binding to fixated cells whose membrane constituents (e.g., proteins and their glycosylated forms) are partially connected by a cross-linking reagent has not been compared to that to live cells. Under the same experimental conditions for the LigandTracer method, we measured the interactions of fluorophore-labeled lectins and antibody molecules with glycans at HFF cells and the human epithelial growth receptor 2 at SKBR3 cells, respectively. In conjunction with surface plasmon resonance microscopy, the effects of labels and cell/sub-cell heterogeneity on binding kinetics were investigated. Our results revealed that, for cell constituents whose structures and functions are not closely dependent on cell viability, the ligand binding kinetics at fixated cells is only slightly different from that at live cells. The altered kinetics is explained on the basis of a less mobile receptor confined in a local environment created by partially interconnected protein molecules. We show that cell/sub-cell heterogeneity and labels on the ligands can alter the binding reaction more significantly. Thus, fixating cells not only simplifies experimental procedures for drug screening and renders assays more robust but also provides reliable kinetic information about drug binding to cell constituents whose structures are not changed by chemical fixation.
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Affiliation(s)
- Tianbao Dong
- Institute of Surface Analysis and Chemical Biology, University of Jinan, Jinan, Shandong 250022, P. R. China
| | - Chaowei Han
- Institute of Surface Analysis and Chemical Biology, University of Jinan, Jinan, Shandong 250022, P. R. China
| | - Xin Liu
- Institute of Surface Analysis and Chemical Biology, University of Jinan, Jinan, Shandong 250022, P. R. China
| | - Zhichao Wang
- Institute of Surface Analysis and Chemical Biology, University of Jinan, Jinan, Shandong 250022, P. R. China
| | - Yanhui Wang
- Institute of Surface Analysis and Chemical Biology, University of Jinan, Jinan, Shandong 250022, P. R. China
| | - Qing Kang
- Institute of Surface Analysis and Chemical Biology, University of Jinan, Jinan, Shandong 250022, P. R. China
| | - Pengcheng Wang
- Institute of Surface Analysis and Chemical Biology, University of Jinan, Jinan, Shandong 250022, P. R. China
| | - Feimeng Zhou
- Institute of Surface Analysis and Chemical Biology, University of Jinan, Jinan, Shandong 250022, P. R. China
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