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Yao Y, Jia R, Liu C, Wang H, Li T, Zheng X, Zhong T, Feng N, Sun J, Li K, Xie R, Ding L, Yan C, Ding L, Ju H. An In-Situ-Tag-Generation Proximity Labeling Technology for Recording Cellular Interactions. Angew Chem Int Ed Engl 2024; 63:e202407109. [PMID: 38702296 DOI: 10.1002/anie.202407109] [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: 04/15/2024] [Revised: 05/02/2024] [Accepted: 05/03/2024] [Indexed: 05/06/2024]
Abstract
Obtaining information about cellular interactions is fundamental to the elucidation of physiological and pathological processes. Proximity labeling technologies have been widely used to report cellular interactions in situ; however, the reliance on addition of tag molecules typically restricts their application to regions where tags can readily diffuse, while the application in, for example, solid tissues, is susceptible. Here, we propose an "in-situ-tag-generation mechanism" and develop the GalTag technology based on galactose oxidase (GAO) for recording cellular interactions within three-dimensional biological solid regions. GAO mounted on bait cells can in situ generate bio-orthogonal aldehyde tags as interaction reporters on prey cells. Using GalTag, we monitored the dynamics of cellular interactions and assessed the targeting ability of engineered cells. In particular, we recorded, for the first time, the footprints of Bacillus Calmette-Guérin (BCG) invasion into the bladder tissue of living mice, providing a valuable perspective to elucidate the anti-tumor mechanism of BCG.
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Affiliation(s)
- Yunyan Yao
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, 210023, Nanjing, P. R. China
| | - Ru Jia
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, 210023, Nanjing, P. R. China
| | - Chuanming Liu
- Center for Reproductive Medicine and Obstetrics and Gynecology, Nanjing Drum Tower Hospital, Nanjing University Medical School, 210008, Nanjing, P. R. China
- Center for Molecular Reproductive Medicine, Nanjing University, 210008, Nanjing, P. R. China
| | - Haiqi Wang
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, 210023, Nanjing, P. R. China
| | - Ting Li
- State Key Laboratory of Coordination Chemistry, School of Chemistry and Chemical Engineering, Nanjing University, 210023, Nanjing, P. R. China
| | - Xiaocui Zheng
- State Key Laboratory of Coordination Chemistry, School of Chemistry and Chemical Engineering, Nanjing University, 210023, Nanjing, P. R. China
| | - Tong Zhong
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, 210023, Nanjing, P. R. China
| | - Nan Feng
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, 210023, Nanjing, P. R. China
| | - Jiahui Sun
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, 210023, Nanjing, P. R. China
| | - Ke Li
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, 210023, Nanjing, P. R. China
| | - Ran Xie
- State Key Laboratory of Coordination Chemistry, School of Chemistry and Chemical Engineering, Nanjing University, 210023, Nanjing, P. R. China
- Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, 210023, Nanjing, P. R. China
| | - Lijun Ding
- Center for Reproductive Medicine and Obstetrics and Gynecology, Nanjing Drum Tower Hospital, Nanjing University Medical School, 210008, Nanjing, P. R. China
- Center for Molecular Reproductive Medicine, Nanjing University, 210008, Nanjing, P. R. China
| | - Chao Yan
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, 210023, Nanjing, P. R. China
- Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, 210023, Nanjing, P. R. China
- Engineering Research Center of Protein and Peptide Medicine, Ministry of Education, 210023, Nanjing, P. R. China
| | - Lin Ding
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, 210023, Nanjing, P. R. China
- Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, 210023, Nanjing, P. R. China
| | - Huangxian Ju
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, 210023, Nanjing, P. R. China
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Nair L, Mukherjee S, Kaur K, Murphy CM, Ravichandiran V, Roy S, Singh M. Multi compartmental 3D breast cancer disease model–recapitulating tumor complexity in in-vitro. Biochim Biophys Acta Gen Subj 2023; 1867:130361. [PMID: 37019341 DOI: 10.1016/j.bbagen.2023.130361] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 03/26/2023] [Accepted: 03/29/2023] [Indexed: 04/05/2023]
Abstract
Breast cancer is the most common ailment among women. In 2020, it had the highest incidence of any type of cancer. Many Phase II and III anti-cancer drugs fail due to efficacy, durability, and side effects. Thus, accelerated drug screening models must be accurate. In-vivo models have been used for a long time, but delays, inconsistent results, and a greater sense of responsibility among scientists toward wildlife have led to the search for in-vitro alternatives. Stromal components support breast cancer growth and survival. Multi-compartment Transwell models may be handy instruments. Co-culturing breast cancer cells with endothelium and fibroblasts improves modelling. The extracellular matrix (ECM) supports native 3D hydrogels in natural and polymeric forms. 3D Transwell cultured tumor spheroids mimicked in-vivo pathological conditions. Tumor invasion, migration, Trans-endothelial migration, angiogenesis, and spread are studied using comprehensive models. Transwell models can create a cancer niche and conduct high-throughput drug screening, promising future applications. Our comprehensive shows how 3D in-vitro multi compartmental models may be useful in producing breast cancer stroma in Transwell culture.
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Affiliation(s)
- Lakshmi Nair
- Department of Pharmaceutical Sciences, Assam Central University, Silchar, Assam 788011, India
| | - Souvik Mukherjee
- Department of Pharmaceutical Sciences, Guru Ghasidas University, Koni, Bilaspur,(C.G 495009, India
| | - Kulwinder Kaur
- Tissue Engineering Research Group, Department of Anatomy & Regenerative Medicine, Royal College of Surgeons (RCSI), Dublin D02YN77, Ireland
| | - Ciara M Murphy
- Tissue Engineering Research Group, Department of Anatomy & Regenerative Medicine, Royal College of Surgeons (RCSI), Dublin D02YN77, Ireland; Trinity Centre for Biomedical Engineering, Trinity College Dublin (TCD), Dublin D02YN77, Ireland; Advanced Materials and Bioengineering Research Centre (AMBER), RCSI and TCD, Dublin, Ireland
| | - Velayutham Ravichandiran
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research, Kolkata, West Bengal 700054, India
| | - Subhadeep Roy
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research, Kolkata, West Bengal 700054, India.
| | - Manjari Singh
- Department of Pharmaceutical Sciences, Assam Central University, Silchar, Assam 788011, India.
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Stromal Co-Cultivation for Modeling Breast Cancer Dormancy in the Bone Marrow. Cancers (Basel) 2022; 14:cancers14143344. [PMID: 35884405 PMCID: PMC9320268 DOI: 10.3390/cancers14143344] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 07/05/2022] [Accepted: 07/05/2022] [Indexed: 11/16/2022] Open
Abstract
Cancers metastasize to the bone marrow before primary tumors can be detected. Bone marrow micrometastases are resistant to therapy, and while they are able to remain dormant for decades, they recur steadily and result in incurable metastatic disease. The bone marrow microenvironment maintains the dormancy and chemoresistance of micrometastases through interactions with multiple cell types and through structural and soluble factors. Modeling dormancy in vitro can identify the mechanisms of these interactions. Modeling also identifies mechanisms able to disrupt these interactions or define novel interactions that promote the reawakening of dormant cells. The in vitro modeling of the interactions of cancer cells with various bone marrow elements can generate hypotheses on the mechanisms that control dormancy, treatment resistance and reawakening in vivo. These hypotheses can guide in vivo murine experiments that have high probabilities of succeeding in order to verify in vitro findings while minimizing the use of animals in experiments. This review outlines the existing data on predominant stromal cell types and their use in 2D co-cultures with cancer cells.
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Inhibition of Tunneling Nanotubes between Cancer Cell and the Endothelium Alters the Metastatic Phenotype. Int J Mol Sci 2021; 22:ijms22116161. [PMID: 34200503 PMCID: PMC8200952 DOI: 10.3390/ijms22116161] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Revised: 05/29/2021] [Accepted: 05/31/2021] [Indexed: 11/17/2022] Open
Abstract
The interaction of tumor cells with blood vessels is one of the key steps during cancer metastasis. Metastatic cancer cells exhibit phenotypic state changes during this interaction: (1) they form tunneling nanotubes (TNTs) with endothelial cells, which act as a conduit for intercellular communication; and (2) metastatic cancer cells change in order to acquire an elongated phenotype, instead of the classical cellular aggregates or mammosphere-like structures, which it forms in three-dimensional cultures. Here, we demonstrate mechanistically that a siRNA-based knockdown of the exocyst complex protein Sec3 inhibits TNT formation. Furthermore, a set of pharmacological inhibitors for Rho GTPase–exocyst complex-mediated cytoskeletal remodeling is introduced, which inhibits TNT formation, and induces the reversal of the more invasive phenotype of cancer cell (spindle-like) into a less invasive phenotype (cellular aggregates or mammosphere). Our results offer mechanistic insights into this nanoscale communication and shift of phenotypic state during cancer–endothelial interactions.
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Nooranidoost M, Kumar R. Deformation of an Encapsulated Leukemia HL60 Cell through Sudden Contractions of a Microfluidic Channel. MICROMACHINES 2021; 12:mi12040355. [PMID: 33806208 PMCID: PMC8066202 DOI: 10.3390/mi12040355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 03/11/2021] [Accepted: 03/23/2021] [Indexed: 11/24/2022]
Abstract
Migration of an encapsulated leukemia HL60 cell through sudden contractions in a capillary tube is investigated. An HL60 cell is initially encapsulated in a viscoelastic shell fluid. As the cell-laden droplet moves through the sudden contraction, shear stresses are experienced around the cell. These stresses along with the interfacial force and geometrical effects cause mechanical deformation which may result in cell death. A parametric study is done to investigate the effects of shell fluid relaxation time, encapsulating droplet size and contraction geometries on cell mechanical deformation. It is found that a large encapsulating droplet with a high relaxation time will undergo low cell mechanical deformation. In addition, the deformation is enhanced for capillary tubes with narrow and long contraction. This study can be useful to characterize cell deformation in constricted microcapillaries and to improve cell viability in bio-microfluidics.
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Lee J, Lee D, Lawler S, Kim Y. Role of neutrophil extracellular traps in regulation of lung cancer invasion and metastasis: Structural insights from a computational model. PLoS Comput Biol 2021; 17:e1008257. [PMID: 33596197 PMCID: PMC7920364 DOI: 10.1371/journal.pcbi.1008257] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 03/01/2021] [Accepted: 01/11/2021] [Indexed: 02/06/2023] Open
Abstract
Lung cancer is one of the leading causes of cancer-related deaths worldwide and is characterized by hijacking immune system for active growth and aggressive metastasis. Neutrophils, which in their original form should establish immune activities to the tumor as a first line of defense, are undermined by tumor cells to promote tumor invasion in several ways. In this study, we investigate the mutual interactions between the tumor cells and the neutrophils that facilitate tumor invasion by developing a mathematical model that involves taxis-reaction-diffusion equations for the critical components in the interaction. These include the densities of tumor and neutrophils, and the concentrations of signaling molecules and structure such as neutrophil extracellular traps (NETs). We apply the mathematical model to a Boyden invasion assay used in the experiments to demonstrate that the tumor-associated neutrophils can enhance tumor cell invasion by secreting the neutrophil elastase. We show that the model can both reproduce the major experimental observation on NET-mediated cancer invasion and make several important predictions to guide future experiments with the goal of the development of new anti-tumor strategies. Moreover, using this model, we investigate the fundamental mechanism of NET-mediated invasion of cancer cells and the impact of internal and external heterogeneity on the migration patterning of tumour cells and their response to different treatment schedules.
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Affiliation(s)
- Junho Lee
- Department of Mathematics, Konkuk University, Seoul, Republic of Korea
| | - Donggu Lee
- Department of Mathematics, Konkuk University, Seoul, Republic of Korea
| | - Sean Lawler
- Department of neurosurgery, Brigham and Women’s Hospital & Harvard Medical School, Boston, Massachusetts, United States of America
| | - Yangjin Kim
- Department of Mathematics, Konkuk University, Seoul, Republic of Korea
- Mathematical Biosciences Institute, Ohio State University, Columbus, Ohio, United States of America
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