Author

D. J. Scurr

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biochemistry· 1 Bioengineering· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Assay:metabolomics· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

M. R. Alexander· 3 shared A. M. Kotowska· 2 shared D.-H. Kim· 2 shared A. G. Shard· 1 shared A. Ghaemmaghami· 1 shared A. Lourdusamy· 1 shared J. C. Luckett· 1 shared J. Meurs· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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3 shared papersBioengineering

M. R. Alexander

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Author profile →

3 papers

Recent·Most cited

Spatially resolved molecular analysis of host response to medical device implantation using the 3D OrbiSIMS

W. Suvannapruk, L. E. Fisher, J. C. Luckett, M. K. Edney, A. M. Kotowska, D.-H. Kim, D. J. Scurr, A. Ghaemmaghami, M. R. Alexander

The paper uses 3D OrbiSIMS to analyze metabolite signatures in tissue around implanted medical devices, linking them to pro- or anti-inflammatory immune responses.

bioRxiv · Aug 18, 2023Bioengineering

In situ protein identification and mapping using secondary ion mass spectrometry

A. M. Kotowska, P. M. Williams, J. W. Aylott, A. G. Shard, M. R. Alexander, D. J. Scurr

This paper demonstrates the use of secondary ion mass spectrometry to directly identify and map proteins at surfaces without prior digestion.

Nature Communications · Nov 17, 2020Peer-reviewedBiochemistry

Sequential 3D OrbiSIMS and LESA-MS/MS-based metabolomics for prediction of brain tumor relapse from sample-limited primary tissue archives

J. Meurs, D. J. Scurr, A. Lourdusamy, L. C. D. Storer, R. G. Grundy, M. R. Alexander, R. Rahman, D.-H. Kim

The paper uses sequential 3D OrbiSIMS and LESA-MS/MS to profile metabolites in FFPE pediatric ependymoma tissues and predict tumor relapse.

bioRxiv · Jul 15, 2020 · PreprintCancer Biology