Search

Your search keyword '"Mavousian A"' showing total 15 results
Start Over Author "Mavousian A" Search Limiters Available in Library Collection
15 results on '"Mavousian A"'

1. Bio‐assembling Macro‐Scale, Lumenized Airway Tubes of Defined Shape via Multi‐Organoid Patterning and Fusion

Author

Ye Liu, Catherine Dabrowska, Antranik Mavousian, Bernhard Strauss, Fanlong Meng, Corrado Mazzaglia, Karim Ouaras, Callum Macintosh, Eugene Terentjev, Joo‐Hyeon Lee, and Yan Yan Shery Huang

Subjects
bio‐assembly, organoids, respiratory system, tissue engineering, tissue morphogenesis, Science
Abstract

Abstract Epithelial, stem‐cell derived organoids are ideal building blocks for tissue engineering, however, scalable and shape‐controlled bio‐assembly of epithelial organoids into larger and anatomical structures is yet to be achieved. Here, a robust organoid engineering approach, Multi‐Organoid Patterning and Fusion (MOrPF), is presented to assemble individual airway organoids of different sizes into upscaled, scaffold‐free airway tubes with predefined shapes. Multi‐Organoid Aggregates (MOAs) undergo accelerated fusion in a matrix‐depleted, free‐floating environment, possess a continuous lumen, and maintain prescribed shapes without an exogenous scaffold interface. MOAs in the floating culture exhibit a well‐defined three‐stage process of inter‐organoid surface integration, luminal material clearance, and lumina connection. The observed shape stability of patterned MOAs is confirmed by theoretical modelling based on organoid morphology and the physical forces involved in organoid fusion. Immunofluorescent characterization shows that fused MOA tubes possess an unstratified epithelium consisting mainly of tracheal basal stem cells. By generating large, shape‐controllable organ tubes, MOrPF enables upscaled organoid engineering towards integrated organoid devices and structurally complex organ tubes.

Published
2021
Full Text
View/download PDF

2. Metastatic-niche labelling reveals parenchymal cells with stem features

Author

Ombrato, Luigi, Nolan, Emma, Kurelac, Ivana, Mavousian, Antranik, Bridgeman, Victoria Louise, Heinze, Ivonne, and Chakravarty, Probir

Subjects
Metastasis -- Analysis, Tumor markers -- Usage, Cancer cells -- Identification and classification -- Growth, Company growth, Environmental issues, Science and technology, Zoology and wildlife conservation
Abstract

Direct investigation of the early cellular changes induced by metastatic cells within the surrounding tissue remains a challenge. Here we present a system in which metastatic cancer cells release a cell-penetrating fluorescent protein, which is taken up by neighbouring cells and enables spatial identification of the local metastatic cellular environment. Using this system, tissue cells with low representation in the metastatic niche can be identified and characterized within the bulk tissue. To highlight its potential, we applied this strategy to study the cellular environment of metastatic breast cancer cells in the lung. We report the presence of cancer-associated parenchymal cells, which exhibit stem-cell-like features, expression of lung progenitor markers, multi-lineage differentiation potential and self-renewal activity. In ex vivo assays, lung epithelial cells acquire a cancer-associated parenchymal-cell-like phenotype when co-cultured with cancer cells and support their growth. These results highlight the potential of this method as a platform for new discoveries. A cell-penetrating fluorescent marker is used to label cells in the metastatic tumour microenvironment, revealing a variety of cell types including parenchymal cells with lung stem-cell characteristics., Author(s): Luigi Ombrato [sup.1] , Emma Nolan [sup.1] , Ivana Kurelac [sup.1] [sup.2] , Antranik Mavousian [sup.3] , Victoria Louise Bridgeman [sup.1] , Ivonne Heinze [sup.4] , Probir Chakravarty [sup.5] [...]

Published
2019
Full Text
View/download PDF

3. SARS-CoV-2 B.1.617.2 Delta variant replication and immune evasion

Author

Mlcochova, Petra, Kemp, Steven A., Dhar, Mahesh Shanker, Papa, Guido, Meng, Bo, Ferreira, Isabella A. T. M., Datir, Rawlings, Collier, Dami A., Albecka, Anna, Singh, Sujeet, Pandey, Rajesh, Brown, Jonathan, Zhou, Jie, Goonawardane, Niluka, Mishra, Swapnil, Whittaker, Charles, Mellan, Thomas, Marwal, Robin, Datta, Meena, Sengupta, Shantanu, Ponnusamy, Kalaiarasan, Radhakrishnan, Venkatraman Srinivasan, Abdullahi, Adam, Charles, Oscar, Chattopadhyay, Partha, Devi, Priti, Caputo, Daniela, Peacock, Tom, Wattal, Chand, Goel, Neeraj, Satwik, Ambrish, Vaishya, Raju, Agarwal, Meenakshi, Chauhan, Himanshu, Dikid, Tanzin, Gogia, Hema, Lall, Hemlata, Verma, Kaptan, Singh, Manoj K., Soni, Namita, Meena, Namonarayan, Madan, Preeti, Singh, Priyanka, Sharma, Ramesh, Sharma, Rajeev, Kabra, Sandhya, Kumar, Sattender, Kumari, Swati, Sharma, Uma, Chaudhary, Urmila, Sivasubbu, Sridhar, Scaria, Vinod, Oberoi, J. K., Raveendran, Reena, Datta, S., Das, Saumitra, Maitra, Arindam, Chinnaswamy, Sreedhar, Biswas, Nidhan Kumar, Parida, Ajay, Raghav, Sunil K., Prasad, Punit, Sarin, Apurva, Mayor, Satyajit, Ramakrishnan, Uma, Palakodeti, Dasaradhi, Seshasayee, Aswin Sai Narain, Thangaraj, K., Bashyam, Murali Dharan, Dalal, Ashwin, Bhat, Manoj, Shouche, Yogesh, Pillai, Ajay, Abraham, Priya, Potdar, Varsha Atul, Cherian, Sarah S., Desai, Anita Sudhir, Pattabiraman, Chitra, Manjunatha, M. V., Mani, Reeta S., Udupi, Gautam Arunachal, Nandicoori, Vinay, Tallapaka, Karthik Bharadwaj, Sowpati, Divya Tej, Kawabata, Ryoko, Morizako, Nanami, Sadamasu, Kenji, Asakura, Hiroyuki, Nagashima, Mami, Yoshimura, Kazuhisa, Ito, Jumpei, Kimura, Izumi, Uriu, Keiya, Kosugi, Yusuke, Suganami, Mai, Oide, Akiko, Yokoyama, Miyabishara, Chiba, Mika, Saito, Akatsuki, Butlertanaka, Erika P., Tanaka, Yuri L., Ikeda, Terumasa, Motozono, Chihiro, Nasser, Hesham, Shimizu, Ryo, Yuan, Yue, Kitazato, Kazuko, Hasebe, Haruyo, Nakagawa, So, Wu, Jiaqi, Takahashi, Miyoko, Fukuhara, Takasuke, Shimizu, Kenta, Tsushima, Kana, Kubo, Haruko, Shirakawa, Kotaro, Kazuma, Yasuhiro, Nomura, Ryosuke, Horisawa, Yoshihito, Takaori-Kondo, Akifumi, Tokunaga, Kenzo, Ozono, Seiya, Baker, Stephen, Dougan, Gordon, Hess, Christoph, Kingston, Nathalie, Lehner, Paul J., Lyons, Paul A., Matheson, Nicholas J., Owehand, Willem H., Saunders, Caroline, Summers, Charlotte, Thaventhiran, James E. D., Toshner, Mark, Weekes, Michael P., Maxwell, Patrick, Shaw, Ashley, Bucke, Ashlea, Calder, Jo, Canna, Laura, Domingo, Jason, Elmer, Anne, Fuller, Stewart, Harris, Julie, Hewitt, Sarah, Kennet, Jane, Jose, Sherly, Kourampa, Jenny, Meadows, Anne, O'Brien, Criona, Price, Jane, Publico, Cherry, Rastall, Rebecca, Ribeiro, Carla, Rowlands, Jane, Ruffolo, Valentina, Tordesillas, Hugo, Bullman, Ben, Dunmore, Benjamin J., Fawke, Stuart, Graf, Stefan, Hodgson, Josh, Huang, Christopher, Hunter, Kelvin, Jones, Emma, Legchenko, Ekaterina, Matara, Cecilia, Martin, Jennifer, Mescia, Federica, O'Donnell, Ciara, Pointon, Linda, Pond, Nicole, Shih, Joy, Sutcliffe, Rachel, Tilly, Tobias, Treacy, Carmen, Tong, Zhen, Wood, Jennifer, Wylot, Marta, Bergamaschi, Laura, Betancourt, Ariana, Bower, Georgie, Cossetti, Chiara, De Sa, Aloka, Epping, Madeline, Gleadall, Nick, Grenfell, Richard, Hinch, Andrew, Huhn, Oisin, Jackson, Sarah, Jarvis, Isobel, Krishna, Ben, Lewis, Daniel, Marsden, Joe, Nice, Francesca, Okecha, Georgina, Omarjee, Ommar, Perera, Marianne, Potts, Martin, Richoz, Nathan, Romashova, Veronika, Yarkoni, Natalia Savinykh, Sharma, Rahul, Stefanucci, Luca, Stephens, Jonathan, Strezlecki, Mateusz, Turner, Lori, De Bie, Eckart M. D. D., Bunclark, Katherine, Josipovic, Masa, Mackay, Michael, Rossi, Sabrina, Selvan, Mayurun, Spencer, Sarah, Yong, Cissy, Allison, John, Butcher, Helen, Clapham-Riley, Debbie, Dewhurst, Eleanor, Furlong, Anita, Graves, Barbara, Gray, Jennifer, Ivers, Tasmin, Kasanicki, Mary, Le Gresley, Emma, Linger, Rachel, Meloy, Sarah, Muldoon, Francesca, Ovington, Nigel, Papadia, Sofia, Phelan, Isabel, Stark, Hannah, Stirrups, Kathleen E., Townsend, Paul, Walker, Neil, Webster, Jennifer, Scholtes, Ingrid, Hein, Sabine, King, Rebecca, Mavousian, Antranik, Lee, Joo Hyeon, Bassi, Jessica, Silacci-Fegni, Chiara, Saliba, Christian, Pinto, Dora, Irie, Takashi, Yoshida, Isao, Hamilton, William L., Sato, Kei, Bhatt, Samir, Flaxman, Seth, James, Leo C., Corti, Davide, Piccoli, Luca, Barclay, Wendy S., Rakshit, Partha, Agrawal, Anurag, Gupta, Ravindra K., (INSACOG), Indian SARS-CoV-2 Genomics Consortium, Consortium, Genotype to Phenotype Japan (G2P-Japan), Collaboration, CITIID-NIHR BioResource COVID-19, Gupta, Ravindra K [0000-0001-9751-1808], Apollo - University of Cambridge Repository, and Gupta, Ravindra K. [0000-0001-9751-1808]

Subjects
Male, COVID-19 Vaccines, medicine.drug_class, Health Personnel, India, Monoclonal antibody, Virus Replication, Antibodies, Cell Line, Cell Fusion, Immune system, 13/100, medicine, Humans, Neutralizing antibody, Antibodies, Neutralizing, Female, Kinetics, SARS-CoV-2, Spike Glycoprotein, Coronavirus, Vaccination, Immune Evasion, Neutralizing, 631/326/596/4130, Syncytium, Multidisciplinary, Cell fusion, biology, article, Vaccine efficacy, 631/250/254, Virology, Spike Glycoprotein, Coronavirus, 13/31, biology.protein, Antibody, Infection
Abstract

The B.1.617.2 (Delta) variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first identified in the state of Maharashtra in late 2020 and spread throughout India, outcompeting pre-existing lineages including B.1.617.1 (Kappa) and B.1.1.7 (Alpha)1. In vitro, B.1.617.2 is sixfold less sensitive to serum neutralizing antibodies from recovered individuals, and eightfold less sensitive to vaccine-elicited antibodies, compared with wild-type Wuhan-1 bearing D614G. Serum neutralizing titres against B.1.617.2 were lower in ChAdOx1 vaccinees than in BNT162b2 vaccinees. B.1.617.2 spike pseudotyped viruses exhibited compromised sensitivity to monoclonal antibodies to the receptor-binding domain and the amino-terminal domain. B.1.617.2 demonstrated higher replication efficiency than B.1.1.7 in both airway organoid and human airway epithelial systems, associated with B.1.617.2 spike being in a predominantly cleaved state compared with B.1.1.7 spike. The B.1.617.2 spike protein was able to mediate highly efficient syncytium formation that was less sensitive to inhibition by neutralizing antibody, compared with that of wild-type spike. We also observed that B.1.617.2 had higher replication and spike-mediated entry than B.1.617.1, potentially explaining the B.1.617.2 dominance. In an analysis of more than 130 SARS-CoV-2-infected health care workers across three centres in India during a period of mixed lineage circulation, we observed reduced ChAdOx1 vaccine effectiveness against B.1.617.2 relative to non-B.1.617.2, with the caveat of possible residual confounding. Compromised vaccine efficacy against the highly fit and immune-evasive B.1.617.2 Delta variant warrants continued infection control measures in the post-vaccination era., A study of SARS-CoV-2 variants examining their transmission, infectivity, and potential resistance to therapies provides insights into the biology of the Delta variant and its role in the global pandemic.

Published
2022
Full Text
View/download PDF

5. Metastatic-niche labelling reveals parenchymal cells with stem features

Author

Anne Weston, Giulia Matacchione, Antranik Mavousian, Lucy M. Collinson, Emma Nolan, Ilaria Malanchi, Ivana Kurelac, Probir Chakravarty, Luigi Ombrato, Alessandro Ori, Stuart Horswell, Victoria L. Bridgeman, Estela Gonzalez-Gualda, Valerie Speirs, Joo-Hyeon Lee, Ivonne Heinze, Ehab Husain, Joanna Kirkpatrick, Ombrato L., Nolan E., Kurelac I., Mavousian A., Bridgeman V.L., Heinze I., Chakravarty P., Horswell S., Gonzalez-Gualda E., Matacchione G., Weston A., Kirkpatrick J., Husain E., Speirs V., Collinson L., Ori A., Lee J.-H., Malanchi I., Lee, Joo [0000-0002-7364-6422], and Apollo - University of Cambridge Repository

Subjects
Male, 0301 basic medicine, Cell type, Lung Neoplasms, Neutrophils, Breast Neoplasms, Biology, Article, Metastasis, Mice, 03 medical and health sciences, 0302 clinical medicine, Parenchyma, Tumor Microenvironment, medicine, Animals, Humans, Cell Lineage, Neoplasm Metastasis, Stem Cell Niche, Parenchymal Tissue, Tumor microenvironment, Multidisciplinary, Staining and Labeling, Cell Differentiation, Epithelial Cells, medicine.disease, Phenotype, Metastatic breast cancer, Coculture Techniques, 3. Good health, Organoids, Luminescent Proteins, 030104 developmental biology, Cell Tracking, 030220 oncology & carcinogenesis, Cancer cell, Neoplastic Stem Cells, Cancer research, Female, metastatic-niche, breast cancer, tumor microenvironment, lung metastases, Ex vivo
Abstract

Direct investigation of the early cellular changes induced by metastatic cells within the surrounding tissue remains a challenge. Here we present a system in which metastatic cancer cells release a cell-penetrating fluorescent protein, which is taken up by neighbouring cells and enables spatial identification of the local metastatic cellular environment. Using this system, tissue cells with low representation in the metastatic niche can be identified and characterized within the bulk tissue. To highlight its potential, we applied this strategy to study the cellular environment of metastatic breast cancer cells in the lung. We report the presence of cancer-associated parenchymal cells, which exhibit stem-cell-like features, expression of lung progenitor markers, multi-lineage differentiation potential and self-renewal activity. In ex vivo assays, lung epithelial cells acquire a cancer-associated parenchymal-cell-like phenotype when co-cultured with cancer cells and support their growth. These results highlight the potential of this method as a platform for new discoveries. A cell-penetrating fluorescent marker is used to label cells in the metastatic tumour microenvironment, revealing a variety of cell types including parenchymal cells with lung stem-cell characteristics.

Published
2019
Full Text
View/download PDF

6. SARS-CoV-2 B.1.617.2 Delta variant replication, sensitivity to neutralising antibodies and vaccine breakthrough

Author

Meenakshi Agarwal, Priti Devi, Ravindra K. Gupta, Thomas A. Mellan, Dami A. Collier, Chiara Silacci-Fegni, Anurag Agrawal, Kalaiarasan Ponnusamy, Raju Vaishya, Christian Saliba, Thomas P. Peacock, Dora Pinto, Bo Meng, Leo C. James, Adam Abdullahi, Jie Zhou, Kei Sato, Rajesh Pandey, Joo-Hyeon Lee, Rawlings Datir, Robin Marwal, Samir Bhatt, Partha Chattopadhyay, Jonathan Brown, Jessica Bassi, Niluka Goonawardne, Shantanu Sengupta, Anna Albecka, Mahesh Shanker Dhar, V. S. Radhakrishnan, Petra Mlcochova, Neeraj Goel, Daniela Caputo, Davide Corti, Guido Papa, Ambrish Satwik, Sujeet Kumar Singh, Luca Piccoli, Isao Yoshida, Wendy S. Barclay, Takashi Irie, Seth Flaxman, Oscar Charles, Antranik Mavousian, Swapnil Mishra, Isabella Ferreira, Partha Rakshit, Chand Wattal, Meena Datta, Charles Whittaker, Steven Kemp, and William L Hamilton

Subjects
Immune system, biology, medicine.drug_class, biology.protein, Wild type, medicine, Organoid, Alpha (ethology), Antibody, Monoclonal antibody, Vaccine efficacy, Virology, In vitro
Abstract

The SARS-CoV-2 B.1.617.2 (Delta) variant was first identified in the state of Maharashtra in late 2020 and spread throughout India, outcompeting pre-existing lineages including B.1.617.1 (Kappa) and B.1.1.7 (Alpha). In vitro, B.1.617.2 is 6-fold less sensitive to serum neutralising antibodies from recovered individuals, and 8-fold less sensitive to vaccine-elicited antibodies as compared to wild type Wuhan-1 bearing D614G. Serum neutralising titres against B.1.617.2 were lower in ChAdOx-1 versus BNT162b2 vaccinees. B.1.617.2 spike pseudotyped viruses exhibited compromised sensitivity to monoclonal antibodies against the receptor binding domain (RBD) and N-terminal domain (NTD), in particular to the clinically approved bamlavinimab and imdevimab monoclonal antibodies. B.1.617.2 demonstrated higher replication efficiency in both airway organoid and human airway epithelial systems as compared to B.1.1.7, associated with B.1.617.2 spike being in a predominantly cleaved state compared to B.1.1.7. Additionally we observed that B.1.617.2 had higher replication and spike mediated entry as compared to B.1.617.1, potentially explaining B.1.617.2 dominance. In an analysis of over 130 SARS-CoV-2 infected healthcare workers across three centres in India during a period of mixed lineage circulation, we observed substantially reduced ChAdOx-1 vaccine efficacy against B.1.617.2 relative to non-B.1.617.2. Compromised vaccine efficacy against the highly fit and immune evasive B.1.617.2 Delta variant warrants continued infection control measures in the post-vaccination era.

Published
2021
Full Text
View/download PDF

7. Multi‐Tissue Organoid Engineering: Bio‐assembling Macro‐Scale, Lumenized Airway Tubes of Defined Shape via Multi‐Organoid Patterning and Fusion (Adv. Sci. 9/2021)

Author

Callum Macintosh, Yan Yan Shery Huang, Antranik Mavousian, Joo-Hyeon Lee, Corrado Mazzaglia, Catherine Dabrowska, Karim Ouaras, Bernhard Strauss, Ye Liu, Eugene M. Terentjev, and Fanlong Meng

Subjects
Macroscopic scale, Computer science, General Chemical Engineering, General Engineering, Organoid, Cover Picture, General Physics and Astronomy, Medicine (miscellaneous), General Materials Science, Biochemistry, Genetics and Molecular Biology (miscellaneous), Biomedical engineering
Abstract

In article number 2003332 by Joo‐Hyeon Lee, Yan Yan Shery Huang, and co‐workers, a robust organoid engineering method is developed to ‘up‐size’ and ‘shape’ organoids—miniature collections of cells which mimic biological features of an organ. The method, named Multi‐Organoid Patterning and Fusion (MOrPF), is used to assemble scaffold‐free macroscale airway tubes, leading to flowable organoid‐on‐a‐chip, and branching tubular structures. The organoid fusion process is characterised by inter‐organoid surface integration, luminal clearance, and lumina connection. [Image: see text]

Published
2021

8. Bio‐assembling Macro‐Scale, Lumenized Airway Tubes of Defined Shape via Multi‐Organoid Patterning and Fusion

Author

Yan Yan Shery Huang, Eugene M. Terentjev, Fanlong Meng, Antranik Mavousian, Bernhard Strauss, Karim Ouaras, Corrado Mazzaglia, Joo-Hyeon Lee, Callum Macintosh, Catherine Dabrowska, Ye Liu, Lee, Joo‐Hyeon [0000-0002-7364-6422], Huang, Yan Yan Shery [0000-0003-2619-730X], Apollo - University of Cambridge Repository, Department of Engineering [Cambridge], and University of Cambridge [UK] (CAM)

Subjects
Scaffold, Materials science, Science, General Chemical Engineering, General Physics and Astronomy, Medicine (miscellaneous), 02 engineering and technology, 010402 general chemistry, 01 natural sciences, Biochemistry, Genetics and Molecular Biology (miscellaneous), PHYSICAL FORCES, [SPI.MAT]Engineering Sciences [physics]/Materials, Cell Fusion, Tissue Culture Techniques, Mice, Tissue engineering, Biomimetics, Morphogenesis, Organoid, Animals, General Materials Science, [SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering, Process (anatomy), organoids, Fusion, Full Paper, Stem Cells, [SPI.PLASMA]Engineering Sciences [physics]/Plasmas, General Engineering, bio‐assembly, Full Papers, 021001 nanoscience & nanotechnology, respiratory system, 0104 chemical sciences, Trachea, Macroscopic scale, tissue engineering, Models, Animal, 0210 nano-technology, tissue morphogenesis, Lumen (unit), Biomedical engineering
Abstract

Epithelial, stem‐cell derived organoids are ideal building blocks for tissue engineering, however, scalable and shape‐controlled bio‐assembly of epithelial organoids into larger and anatomical structures is yet to be achieved. Here, a robust organoid engineering approach, Multi‐Organoid Patterning and Fusion (MOrPF), is presented to assemble individual airway organoids of different sizes into upscaled, scaffold‐free airway tubes with predefined shapes. Multi‐Organoid Aggregates (MOAs) undergo accelerated fusion in a matrix‐depleted, free‐floating environment, possess a continuous lumen, and maintain prescribed shapes without an exogenous scaffold interface. MOAs in the floating culture exhibit a well‐defined three‐stage process of inter‐organoid surface integration, luminal material clearance, and lumina connection. The observed shape stability of patterned MOAs is confirmed by theoretical modelling based on organoid morphology and the physical forces involved in organoid fusion. Immunofluorescent characterization shows that fused MOA tubes possess an unstratified epithelium consisting mainly of tracheal basal stem cells. By generating large, shape‐controllable organ tubes, MOrPF enables upscaled organoid engineering towards integrated organoid devices and structurally complex organ tubes., A robust organoid upscaling and engineering approach, Multi‐Organoid Patterning and Fusion (MOrPF), is presented to assemble individual airway organoids of different sizes into scaffold‐free airway tubes of anatomically relevant size and shape. Airway organoid fusion undergoes inter‐organoid surface integration, luminal material clearance, and lumina connection. MOrPF enables shape‐defined organoid engineering toward integrated organoid devices and structurally complex organ tubes.

Published
2021
Full Text
View/download PDF

9. Multi‐Tissue Organoid Engineering: Bio‐assembling Macro‐Scale, Lumenized Airway Tubes of Defined Shape via Multi‐Organoid Patterning and Fusion (Adv. Sci. 9/2021)

Author

Liu, Ye, primary, Dabrowska, Catherine, additional, Mavousian, Antranik, additional, Strauss, Bernhard, additional, Meng, Fanlong, additional, Mazzaglia, Corrado, additional, Ouaras, Karim, additional, Macintosh, Callum, additional, Terentjev, Eugene, additional, Lee, Joo‐Hyeon, additional, and Huang, Yan Yan Shery, additional

Published
2021
Full Text
View/download PDF

10. Bioassemblying Macro-Scale, Lumnized Airway Tubes of Defined Shape via Multi-Organoid Patterning and Fusion

Author

Bernhard Strauss, Yan Yan Shery Huang, Antranik Mavousian, Ye Liu, Callum Macintosh, Joo-Hyeon Lee, Corrado Mazzaglia, Karim Ouaras, Catherine Dabrowska, Eugene M. Terentjev, and Fanlong Meng

Subjects
Scaffold, Fusion, Materials science, Tissue engineering, Macroscopic scale, Biophysics, Organoid, Process (anatomy), PHYSICAL FORCES, Lumen (unit)
Abstract

Epithelial, stem-cell derived organoids are ideal building blocks for tissue engineering, however, scalable and shape-controlled bioassembly of epithelial organoids into larger and anatomical structures has yet to be achieved. Here, a robust organoid engineering approach, Multi-Organoid Patterning and Fusion (MOrPF), is presented to assemble individual airway organoids of different sizes into upscaled, scaffold-free airway tubes with pre-defined shapes. Multi-Organoid Aggregates (MOAs) undergo accelerated fusion in a matrix-depleted, free-floating environment, possess a continuous lumen and maintain prescribed shapes without an exogenous scaffold interface. MOAs in the floating culture exhibit a well-defined three-stage process of inter-organoid surface integration, luminal material clearance and lumina connection. The observed shape stability of patterned MOAs is confirmed by theoretical modelling based on organoid morphology and the physical forces involved in organoid fusion. Immunofluorescent characterization shows that fused MOA tubes possess an unstratified epithelium consisting mainly of tracheal basal stem cells. By generating large, shape-controllable organ tubes, MOrPF enables upscaled organoid engineering towards integrated organoid-devices and structurally complex organ tubes.

Published
2020
Full Text
View/download PDF

11. SARS-CoV-2 B.1.617.2 Delta variant replication and immune evasion

Author

Mlcochova, Petra, Kemp, Steven A., Dhar, Mahesh Shanker, Papa, Guido, Meng, Bo, Ferreira, Isabella A. T. M., Datir, Rawlings, Collier, Dami A., Albecka, Anna, Singh, Sujeet, Pandey, Rajesh, Brown, Jonathan, Zhou, Jie, Goonawardane, Niluka, Mishra, Swapnil, Whittaker, Charles, Mellan, Thomas, Marwal, Robin, Datta, Meena, Sengupta, Shantanu, Ponnusamy, Kalaiarasan, Radhakrishnan, Venkatraman Srinivasan, Abdullahi, Adam, Charles, Oscar, Chattopadhyay, Partha, Devi, Priti, Caputo, Daniela, Peacock, Tom, Wattal, Chand, Goel, Neeraj, Satwik, Ambrish, Vaishya, Raju, Agarwal, Meenakshi, Chauhan, Himanshu, Dikid, Tanzin, Gogia, Hema, Lall, Hemlata, Verma, Kaptan, Singh, Manoj K., Soni, Namita, Meena, Namonarayan, Madan, Preeti, Singh, Priyanka, Sharma, Ramesh, Sharma, Rajeev, Kabra, Sandhya, Kumar, Sattender, Kumari, Swati, Sharma, Uma, Chaudhary, Urmila, Sivasubbu, Sridhar, Scaria, Vinod, Oberoi, J. K., Raveendran, Reena, Datta, S., Das, Saumitra, Maitra, Arindam, Chinnaswamy, Sreedhar, Biswas, Nidhan Kumar, Parida, Ajay, Raghav, Sunil K., Prasad, Punit, Sarin, Apurva, Mayor, Satyajit, Ramakrishnan, Uma, Palakodeti, Dasaradhi, Seshasayee, Aswin Sai Narain, Thangaraj, K., Bashyam, Murali Dharan, Dalal, Ashwin, Bhat, Manoj, Shouche, Yogesh, Pillai, Ajay, Abraham, Priya, Potdar, Varsha Atul, Cherian, Sarah S., Desai, Anita Sudhir, Pattabiraman, Chitra, Manjunatha, M. V., Mani, Reeta S., Udupi, Gautam Arunachal, Nandicoori, Vinay, Tallapaka, Karthik Bharadwaj, Sowpati, Divya Tej, Kawabata, Ryoko, Morizako, Nanami, Sadamasu, Kenji, Asakura, Hiroyuki, Nagashima, Mami, Yoshimura, Kazuhisa, Ito, Jumpei, Kimura, Izumi, Uriu, Keiya, Kosugi, Yusuke, Suganami, Mai, Oide, Akiko, Yokoyama, Miyabishara, Chiba, Mika, Saito, Akatsuki, Butlertanaka, Erika P., Tanaka, Yuri L., Ikeda, Terumasa, Motozono, Chihiro, Nasser, Hesham, Shimizu, Ryo, Yuan, Yue, Kitazato, Kazuko, Hasebe, Haruyo, Nakagawa, So, Wu, Jiaqi, Takahashi, Miyoko, Fukuhara, Takasuke, Shimizu, Kenta, Tsushima, Kana, Kubo, Haruko, Shirakawa, Kotaro, Kazuma, Yasuhiro, Nomura, Ryosuke, Horisawa, Yoshihito, Takaori-Kondo, Akifumi, Tokunaga, Kenzo, Ozono, Seiya, Baker, Stephen, Dougan, Gordon, Hess, Christoph, Kingston, Nathalie, Lehner, Paul J., Lyons, Paul A., Matheson, Nicholas J., Owehand, Willem H., Saunders, Caroline, Summers, Charlotte, Thaventhiran, James E. D., Toshner, Mark, Weekes, Michael P., Maxwell, Patrick, Shaw, Ashley, Bucke, Ashlea, Calder, Jo, Canna, Laura, Domingo, Jason, Elmer, Anne, Fuller, Stewart, Harris, Julie, Hewitt, Sarah, Kennet, Jane, Jose, Sherly, Kourampa, Jenny, Meadows, Anne, O'Brien, Criona, Price, Jane, Publico, Cherry, Rastall, Rebecca, Ribeiro, Carla, Rowlands, Jane, Ruffolo, Valentina, Tordesillas, Hugo, Bullman, Ben, Dunmore, Benjamin J., Fawke, Stuart, Graf, Stefan, Hodgson, Josh, Huang, Christopher, Hunter, Kelvin, Jones, Emma, Legchenko, Ekaterina, Matara, Cecilia, Martin, Jennifer, Mescia, Federica, O'Donnell, Ciara, Pointon, Linda, Pond, Nicole, Shih, Joy, Sutcliffe, Rachel, Tilly, Tobias, Treacy, Carmen, Tong, Zhen, Wood, Jennifer, Wylot, Marta, Bergamaschi, Laura, Betancourt, Ariana, Bower, Georgie, Cossetti, Chiara, De Sa, Aloka, Epping, Madeline, Gleadall, Nick, Grenfell, Richard, Hinch, Andrew, Huhn, Oisin, Jackson, Sarah, Jarvis, Isobel, Krishna, Ben, Lewis, Daniel, Marsden, Joe, Nice, Francesca, Okecha, Georgina, Omarjee, Ommar, Perera, Marianne, Potts, Martin, Richoz, Nathan, Romashova, Veronika, Yarkoni, Natalia Savinykh, Sharma, Rahul, Stefanucci, Luca, Stephens, Jonathan, Strezlecki, Mateusz, Turner, Lori, De Bie, Eckart M. D. D., Bunclark, Katherine, Josipovic, Masa, Mackay, Michael, Rossi, Sabrina, Selvan, Mayurun, Spencer, Sarah, Yong, Cissy, Allison, John, Butcher, Helen, Clapham-Riley, Debbie, Dewhurst, Eleanor, Furlong, Anita, Graves, Barbara, Gray, Jennifer, Ivers, Tasmin, Kasanicki, Mary, Le Gresley, Emma, Linger, Rachel, Meloy, Sarah, Muldoon, Francesca, Ovington, Nigel, Papadia, Sofia, Phelan, Isabel, Stark, Hannah, Stirrups, Kathleen E., Townsend, Paul, Walker, Neil, Webster, Jennifer, Scholtes, Ingrid, Hein, Sabine, King, Rebecca, Mavousian, Antranik, Lee, Joo Hyeon, Bassi, Jessica, Silacci-Fegni, Chiara, Saliba, Christian, Pinto, Dora, Irie, Takashi, Yoshida, Isao, Hamilton, William L., Sato, Kei, Bhatt, Samir, Flaxman, Seth, James, Leo C., Corti, Davide, Piccoli, Luca, Barclay, Wendy S., Rakshit, Partha, Agrawal, Anurag, Gupta, Ravindra K., Mlcochova, Petra, Kemp, Steven A., Dhar, Mahesh Shanker, Papa, Guido, Meng, Bo, Ferreira, Isabella A. T. M., Datir, Rawlings, Collier, Dami A., Albecka, Anna, Singh, Sujeet, Pandey, Rajesh, Brown, Jonathan, Zhou, Jie, Goonawardane, Niluka, Mishra, Swapnil, Whittaker, Charles, Mellan, Thomas, Marwal, Robin, Datta, Meena, Sengupta, Shantanu, Ponnusamy, Kalaiarasan, Radhakrishnan, Venkatraman Srinivasan, Abdullahi, Adam, Charles, Oscar, Chattopadhyay, Partha, Devi, Priti, Caputo, Daniela, Peacock, Tom, Wattal, Chand, Goel, Neeraj, Satwik, Ambrish, Vaishya, Raju, Agarwal, Meenakshi, Chauhan, Himanshu, Dikid, Tanzin, Gogia, Hema, Lall, Hemlata, Verma, Kaptan, Singh, Manoj K., Soni, Namita, Meena, Namonarayan, Madan, Preeti, Singh, Priyanka, Sharma, Ramesh, Sharma, Rajeev, Kabra, Sandhya, Kumar, Sattender, Kumari, Swati, Sharma, Uma, Chaudhary, Urmila, Sivasubbu, Sridhar, Scaria, Vinod, Oberoi, J. K., Raveendran, Reena, Datta, S., Das, Saumitra, Maitra, Arindam, Chinnaswamy, Sreedhar, Biswas, Nidhan Kumar, Parida, Ajay, Raghav, Sunil K., Prasad, Punit, Sarin, Apurva, Mayor, Satyajit, Ramakrishnan, Uma, Palakodeti, Dasaradhi, Seshasayee, Aswin Sai Narain, Thangaraj, K., Bashyam, Murali Dharan, Dalal, Ashwin, Bhat, Manoj, Shouche, Yogesh, Pillai, Ajay, Abraham, Priya, Potdar, Varsha Atul, Cherian, Sarah S., Desai, Anita Sudhir, Pattabiraman, Chitra, Manjunatha, M. V., Mani, Reeta S., Udupi, Gautam Arunachal, Nandicoori, Vinay, Tallapaka, Karthik Bharadwaj, Sowpati, Divya Tej, Kawabata, Ryoko, Morizako, Nanami, Sadamasu, Kenji, Asakura, Hiroyuki, Nagashima, Mami, Yoshimura, Kazuhisa, Ito, Jumpei, Kimura, Izumi, Uriu, Keiya, Kosugi, Yusuke, Suganami, Mai, Oide, Akiko, Yokoyama, Miyabishara, Chiba, Mika, Saito, Akatsuki, Butlertanaka, Erika P., Tanaka, Yuri L., Ikeda, Terumasa, Motozono, Chihiro, Nasser, Hesham, Shimizu, Ryo, Yuan, Yue, Kitazato, Kazuko, Hasebe, Haruyo, Nakagawa, So, Wu, Jiaqi, Takahashi, Miyoko, Fukuhara, Takasuke, Shimizu, Kenta, Tsushima, Kana, Kubo, Haruko, Shirakawa, Kotaro, Kazuma, Yasuhiro, Nomura, Ryosuke, Horisawa, Yoshihito, Takaori-Kondo, Akifumi, Tokunaga, Kenzo, Ozono, Seiya, Baker, Stephen, Dougan, Gordon, Hess, Christoph, Kingston, Nathalie, Lehner, Paul J., Lyons, Paul A., Matheson, Nicholas J., Owehand, Willem H., Saunders, Caroline, Summers, Charlotte, Thaventhiran, James E. D., Toshner, Mark, Weekes, Michael P., Maxwell, Patrick, Shaw, Ashley, Bucke, Ashlea, Calder, Jo, Canna, Laura, Domingo, Jason, Elmer, Anne, Fuller, Stewart, Harris, Julie, Hewitt, Sarah, Kennet, Jane, Jose, Sherly, Kourampa, Jenny, Meadows, Anne, O'Brien, Criona, Price, Jane, Publico, Cherry, Rastall, Rebecca, Ribeiro, Carla, Rowlands, Jane, Ruffolo, Valentina, Tordesillas, Hugo, Bullman, Ben, Dunmore, Benjamin J., Fawke, Stuart, Graf, Stefan, Hodgson, Josh, Huang, Christopher, Hunter, Kelvin, Jones, Emma, Legchenko, Ekaterina, Matara, Cecilia, Martin, Jennifer, Mescia, Federica, O'Donnell, Ciara, Pointon, Linda, Pond, Nicole, Shih, Joy, Sutcliffe, Rachel, Tilly, Tobias, Treacy, Carmen, Tong, Zhen, Wood, Jennifer, Wylot, Marta, Bergamaschi, Laura, Betancourt, Ariana, Bower, Georgie, Cossetti, Chiara, De Sa, Aloka, Epping, Madeline, Gleadall, Nick, Grenfell, Richard, Hinch, Andrew, Huhn, Oisin, Jackson, Sarah, Jarvis, Isobel, Krishna, Ben, Lewis, Daniel, Marsden, Joe, Nice, Francesca, Okecha, Georgina, Omarjee, Ommar, Perera, Marianne, Potts, Martin, Richoz, Nathan, Romashova, Veronika, Yarkoni, Natalia Savinykh, Sharma, Rahul, Stefanucci, Luca, Stephens, Jonathan, Strezlecki, Mateusz, Turner, Lori, De Bie, Eckart M. D. D., Bunclark, Katherine, Josipovic, Masa, Mackay, Michael, Rossi, Sabrina, Selvan, Mayurun, Spencer, Sarah, Yong, Cissy, Allison, John, Butcher, Helen, Clapham-Riley, Debbie, Dewhurst, Eleanor, Furlong, Anita, Graves, Barbara, Gray, Jennifer, Ivers, Tasmin, Kasanicki, Mary, Le Gresley, Emma, Linger, Rachel, Meloy, Sarah, Muldoon, Francesca, Ovington, Nigel, Papadia, Sofia, Phelan, Isabel, Stark, Hannah, Stirrups, Kathleen E., Townsend, Paul, Walker, Neil, Webster, Jennifer, Scholtes, Ingrid, Hein, Sabine, King, Rebecca, Mavousian, Antranik, Lee, Joo Hyeon, Bassi, Jessica, Silacci-Fegni, Chiara, Saliba, Christian, Pinto, Dora, Irie, Takashi, Yoshida, Isao, Hamilton, William L., Sato, Kei, Bhatt, Samir, Flaxman, Seth, James, Leo C., Corti, Davide, Piccoli, Luca, Barclay, Wendy S., Rakshit, Partha, Agrawal, Anurag, and Gupta, Ravindra K.

Published
2021

12. Bio‐assembling Macro‐Scale, Lumenized Airway Tubes of Defined Shape via Multi‐Organoid Patterning and Fusion

Author

Liu, Ye, primary, Dabrowska, Catherine, additional, Mavousian, Antranik, additional, Strauss, Bernhard, additional, Meng, Fanlong, additional, Mazzaglia, Corrado, additional, Ouaras, Karim, additional, Macintosh, Callum, additional, Terentjev, Eugene, additional, Lee, Joo‐Hyeon, additional, and Huang, Yan Yan Shery, additional

Published
2021
Full Text
View/download PDF

13. Author Correction: Metastatic-niche labelling reveals parenchymal cells with stem features

Author

Probir Chakravarty, Victoria L. Bridgeman, Giulia Matacchione, Ivonne Heinze, Joo-Hyeon Lee, Ehab Husain, Emma Nolan, Ilaria Malanchi, Luigi Ombrato, Lucy M. Collinson, Ivana Kurelac, Alessandro Ori, Estela Gonzalez-Gualda, Valerie Speirs, Antranik Mavousian, Stuart Horswell, Anne Weston, and Joanna Kirkpatrick

Subjects
Pathology, medicine.medical_specialty, Multidisciplinary, Text mining, business.industry, Metastatic niche, Labelling, Parenchyma, medicine, Biology, business
Published
2019
Full Text
View/download PDF

15. SARS-CoV-2 B.1.617.2 Delta variant replication and immune evasion.

Author

Mlcochova P, Kemp SA, Dhar MS, Papa G, Meng B, Ferreira IATM, Datir R, Collier DA, Albecka A, Singh S, Pandey R, Brown J, Zhou J, Goonawardane N, Mishra S, Whittaker C, Mellan T, Marwal R, Datta M, Sengupta S, Ponnusamy K, Radhakrishnan VS, Abdullahi A, Charles O, Chattopadhyay P, Devi P, Caputo D, Peacock T, Wattal C, Goel N, Satwik A, Vaishya R, Agarwal M, Mavousian A, Lee JH, Bassi J, Silacci-Fegni C, Saliba C, Pinto D, Irie T, Yoshida I, Hamilton WL, Sato K, Bhatt S, Flaxman S, James LC, Corti D, Piccoli L, Barclay WS, Rakshit P, Agrawal A, and Gupta RK

Subjects
Antibodies, Neutralizing immunology, COVID-19 Vaccines immunology, Cell Fusion, Cell Line, Female, Health Personnel, Humans, India, Kinetics, Male, Spike Glycoprotein, Coronavirus metabolism, Vaccination, Immune Evasion, SARS-CoV-2 growth & development, SARS-CoV-2 immunology, Virus Replication immunology
Abstract

The B.1.617.2 (Delta) variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first identified in the state of Maharashtra in late 2020 and spread throughout India, outcompeting pre-existing lineages including B.1.617.1 (Kappa) and B.1.1.7 (Alpha) 1 . In vitro, B.1.617.2 is sixfold less sensitive to serum neutralizing antibodies from recovered individuals, and eightfold less sensitive to vaccine-elicited antibodies, compared with wild-type Wuhan-1 bearing D614G. Serum neutralizing titres against B.1.617.2 were lower in ChAdOx1 vaccinees than in BNT162b2 vaccinees. B.1.617.2 spike pseudotyped viruses exhibited compromised sensitivity to monoclonal antibodies to the receptor-binding domain and the amino-terminal domain. B.1.617.2 demonstrated higher replication efficiency than B.1.1.7 in both airway organoid and human airway epithelial systems, associated with B.1.617.2 spike being in a predominantly cleaved state compared with B.1.1.7 spike. The B.1.617.2 spike protein was able to mediate highly efficient syncytium formation that was less sensitive to inhibition by neutralizing antibody, compared with that of wild-type spike. We also observed that B.1.617.2 had higher replication and spike-mediated entry than B.1.617.1, potentially explaining the B.1.617.2 dominance. In an analysis of more than 130 SARS-CoV-2-infected health care workers across three centres in India during a period of mixed lineage circulation, we observed reduced ChAdOx1 vaccine effectiveness against B.1.617.2 relative to non-B.1.617.2, with the caveat of possible residual confounding. Compromised vaccine efficacy against the highly fit and immune-evasive B.1.617.2 Delta variant warrants continued infection control measures in the post-vaccination era., (© 2021. The Author(s).)

Published
2021
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results