Author

Melanie Burke

University of Cambridge

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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Genetic & Genomic Medicine· 1 Molecular Biology· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Assay:proteomics· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Organism:mouse· 1

Frequent Co-Authors

David KlenermaniD· 2 shared Adrian Bateman· 1 shared Ahmed Iqbal· 1 shared Ajoy BardhaniD· 1 shared Alexander Fleming· 1 shared Ann AgeriD· 1 shared Annelies QuaegebeuriD· 1 shared Ben Powney· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersNeuroscience

David KlenermanORCID

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3 papers

Recent·Most cited

Super-resolution microscopy of nanoscopic alpha-synuclein aggregates in brain samples indicates a subset of cells have disrupted protein homeostasis prior to Lewy body formation in Parkinson's disease

Emre Fertan, John S. H. Danial, Stephen J. Neame, Jeff Y. L. Lam, Matthew W. Cotton, Melanie Burke, Zengjie Xia, Yunzhao Wu, Ben Powney, Yoichi Imaizumi, Annelies Quaegebeur, Georg Meisl, James M. Staddon, David Klenerman

The paper uses super-resolution microscopy and SIMOA to analyze alpha-synuclein aggregates in Parkinson's disease brain samples and mouse models, finding larger aggregates in PD samples and differences based on extraction methods.

bioRxiv · Sep 16, 2025 · PreprintNeuroscience

Fingerprinting disease-derived protein aggregates reveals unique signature of Motor Neuron Disease

Dezerae Cox, Melanie Burke, Sara Milani, Matthew A. White, Fergal M. Waldron, Dorothea Böken, Evgeniia Lobanova, Jemeen Sreedharan, Jenna M. Gregory, David Klenerman

This study uses single molecule microscopy to fingerprint TDP-43 aggregates in brain tissue, distinguishing MND donors from controls and different MND cohorts.

bioRxiv · Mar 4, 2025 · PreprintMolecular Biology

Defining an Ageing-Related Pathology, Disease or Syndrome: International Consensus Statement

Emma L. Short, ICCARP, Ian Michael Adcock, Bilal Al-Sarireh, Ann Ager, Ramzi Ajjan, Naveed Akbar, Michael A. Akeroyd, Ghada Alsaleh, Ghada Al-Sharbatee, Kambiz N. Alavian, Winfried Amoaku, Julie Andersen, Chrystalina A. Antoniades, Mark J. Arends, , Werner Kempf

The paper establishes international consensus criteria to classify ageing-related pathologies, diseases, and syndromes based on age progression, functional decline, and human evidence.

GeroScience · Sep 21, 2024Peer-reviewedGenetic & Genomic Medicine