Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Doctor of Philosophy, Characterising Fibrillin Microfibril Structural Diversity and Photo-induced Damage, The University of Manchester
1 Sept 2014 → 1 Sept 2018
Award Date: 28 Nov 2018
Master of Research, Protein Biochemistry, Imperial College London
30 Sept 2010 → 30 Sept 2011
Award Date: 30 Sept 2011
Bachelor of Science, Biology, University of York
30 Sept 2006 → 30 Sept 2009
Award Date: 30 Sept 2009
Areas of expertise
- QH301 Biology
- Proteomics
- Mass spectrometry
- Extracellular Matrix
- Skin
- Ageing
- Cell Biology
- QD Chemistry
- Protein Biochemistry
- Structural Biology
- Atomic Force Microscopy
Keywords
- Extracellular matrix
- Proteomics
- Mass spectrometry
- Dermatology
Fingerprint
Dive into the research topics where Alexander Eckersley is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Matrikines in kidney ageing and age-related disease
Eckersley, A., Yamamura, T. & Lennon, R., 10 Aug 2023, In: Current Opinion in Nephrology & Hypertension. 10.Research output: Contribution to journal › Review article › peer-review
Open Access -
P13 Prediction and in vitro characterization of tetrapeptide matrikines with diverse effects on human dermal fibroblasts
Jariwala, N., Ozols, M., Eckersley, A., Watson, R., Mambwe, B., Gilmore, A., Debelle, L., Bell, M., Bradley, E., Doush, Y., Leroux, R., Peschard, O., Mondon, P., Ringenbach, C., Bernard, L., Pitois, A. & Sherratt, M., 7 Jul 2023, In: British Journal of Dermatology. 189, 1, p. E18-E19 2 p.Research output: Contribution to journal › Meeting Abstract › peer-review
-
Peptide location fingerprinting identifies structural alterations within basement membrane components in ageing kidney
Eckersley, A., Paiva Teixeira Morais, M., Ozols, M. & Lennon, R., Aug 2023, In: Matrix Biology. 121, p. 167-178 12 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Peptide location fingerprinting identifies species- and tissue-conserved structural remodelling of proteins as a consequence of ageing and disease
Eckersley, A., Ozols, M., Chen, P., Tam, V., Ward, L. J., Hoyland, J. A., Trafford, A., Yuan, X-M., Schiller, H. B., Chan, D. & Sherratt, M. J., Dec 2022, In: Matrix Biology. 114, p. 108-137 29 p., 114.Research output: Contribution to journal › Article › peer-review
-
Regional variations in discrete collagen fibre mechanics within intact intervertebral disc resolved using synchrotron computed tomography and digital volume correlation
Disney, C. M., Mo, J., Eckersley, A., Bodey, A. J., Hoyland, J. A., Sherratt, M. J., Pitsillides, A. A., Lee, P. D. & Bay, B. K., Jan 2022, In: Acta Biomaterialia.Research output: Contribution to journal › Article › peer-review
Prizes
-
-
Early Career Research Award
Eckersley, Alexander (Recipient), 3 Jul 2019
Prize: Prize (including medals and awards)
Datasets
-
Tissue Microfibril Comparison
Eckersley, A. (Owner), Mellody, K. (Contributor), Pilkington, S. (Contributor), Griffiths, C. (Contributor), Watson, R. (Supervisor), O'Cualain, R. (Data Collector), Baldock, C. (Contributor), Knight, D. (Data Collector) & Sherratt, M. (Supervisor), PRoteomics IDEntifications Database, 16 Feb 2018
DOI: 10.6019/PXD008450, https://www.ebi.ac.uk/pride/archive/projects/PXD008450
Dataset
-
Mass spectrometry detection of photodamage in human extracellular matrix assemblies
Eckersley, A. (Creator) & Sherratt, M. (Creator), PRoteomics IDEntifications Database, 30 Jan 2020
DOI: 10.6019/PXD015149, https://www.ebi.ac.uk/pride/archive/projects/PXD015149
Dataset