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Personal profile
Research interests
I am a UKRI Future Leaders Fellow based in the Department of Translational Health Sciences in Bristol Medical School. A PhD graduate of the University of Bristol, I conducted my postdoctoral studies at Imperial College London, supported by fellowship awards from Arthritis Research UK (2015-2018) and the MRC (2018-2021). In this time, I was awarded the President's Medal for Excellence in Education in recognition of my contribution to student supervision and wellbeing.
My research group (www.TheArmstrongGroup.co.uk) develops new biotechnologies for tissue engineering and regenerative medicine. We use a diverse range of methods from engineering, chemistry, and biology to control the assembly of biomaterials and engineered tissues, including cartilage, bone, cardiac, skeletal muscle, and neural tissue. Collaborating with international leaders and local clinicians, we aim to develop new regenerative therapies and generate advanced biological models for studying development, disease, and drug response.
Note that the publication list below is largely incomplete. For a full list of research articles and reviews - including works in Advanced Materials, Nature Communications, Science Advances, and Science Translational Medicine - please see Google Scholar. If you are interested in joining my research group, please contact me at james.armstrong@bristol.ac.uk to discuss open and upcoming vacancies, PhD scholarships, or postdoctoral fellowships.
Keywords
- Tissue Engineering
- Regenerative Medicine
- Organoids
- Biotechnologies
- Biomaterials
- Ultrasound
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Projects
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Research output
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Community-driven online initiatives have reshaped scientific engagement
Armstrong, J. P. K., de Lázaro, I., Kirkland, N. J., Poon, W. & Sindhwani, S., 8 Nov 2021, In: Nature Reviews Materials. 6, 11, p. 963-965 3 p.Research output: Contribution to journal › Comment/debate (Academic Journal) › peer-review
Open Access -
A blueprint for translational regenerative medicine
Armstrong, J. P. K., Keane, T. J., Roques, A. C., Patrick, P. S., Mooney, C. M., Kuan, W. L., Pisupati, V., Oreffo, R. O. C., Stuckey, D. J., Watt, F. M., Forbes, S. J., Barker, R. A. & Stevens, M. M., 2 Dec 2020, In: Science Translational Medicine. 12, 572, eaaz2253.Research output: Contribution to journal › Review article (Academic Journal) › peer-review
10 Citations (Scopus) -
Expanding and optimizing 3D bioprinting capabilities using complementary network bioinks
Ouyang, L., Armstrong, J. P. K., Lin, Y., Wojciechowski, J. P., Lee-Reeves, C., Hachim, D., Zhou, K., Burdick, J. A. & Stevens, M. M., 16 Sep 2020, In: Science Advances. 6, 38, eabc5529.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open AccessFile76 Citations (Scopus)7 Downloads (Pure)
Datasets
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Artificial membrane binding proteins stimulate oxygenation of stem cells during engineering of large cartilage tissue
Armstrong, J. (Contributor) & Perriman, A. W. (Creator), University of Bristol, 17 Jun 2015
DOI: 10.5523/bris.3x95p2cbhwcm16tx8sfosdjyp, http://data.bris.ac.uk/data/dataset/3x95p2cbhwcm16tx8sfosdjyp
Dataset
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Zhang_et_al_ACS_Polymer_2021
Perriman, A. W. (Creator), Green, T. I. P. (Creator), Deller, R. C. (Creator), Carter, B. (Creator), Jakimowicz, M. D. (Creator), Burke, M. (Creator), Armstrong, J. (Creator), Zampetakis, I. (Creator), Zhang, W. H. (Creator), Cuahtecontzi Delint, R. (Creator), Klemperer, R. G. (Creator), Xiao, W. (Creator), Day, G. J. (Creator), Richardson, T. D. L. (Creator), Hickton, B. R. (Creator) & Coe, D. J. (Creator), University of Bristol, 22 Oct 2021
DOI: 10.5523/bris.2db10nbgrq5w621av14h8fs0c6, https://data.bris.ac.uk/data/dataset/2db10nbgrq5w621av14h8fs0c6
Dataset
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Cell paintballing using optically targeted coacervate microdroplets
Armstrong, J. (Creator), Green, T. (Creator), Burke, M. (Creator), Perriman, A. W. (Creator), Jakimowicz, M. (Creator), Carter, B. (Creator) & Deller, R. (Creator), University of Bristol, 30 Jul 2015
DOI: 10.5523/bris.141i8gcwao5pb1li26zvzdojc3, http://data.bris.ac.uk/data/dataset/141i8gcwao5pb1li26zvzdojc3
Dataset