Author

V. J. Allan

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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Cell Biology· 3 Biophysics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell signaling & trafficking· 3 Assay:imaging· 3 Approach:experimental assay· 2 Organism:C. elegans· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Research Focus:differential expression· 1

Frequent Co-Authors

N. Korabel· 2 shared P. G. Woodman· 2 shared S. Fedotov· 2 shared T. A. Waigh· 2 shared A. Boström· 1 shared A. Gavrilova· 1 shared A. Salter· 1 shared B. E. Burke· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersCell Biology

N. Korabel

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Author profile →

4 papers

Recent·Most cited

The role of Kinesin-1 in neuronal dense core vesicle transport and lifespan regulation in C. elegans

A. Gavrilova, A. Boström, N. Korabel, G. B. Poulin, S. Fedotov, V. J. Allan

This study examines the role of kinesin-1 in DCV transport and lifespan in C. elegans, finding that klc-1 and klc-2 mutations affect transport and lifespan, with synergistic effects in transgenic strains.

bioRxiv · Mar 25, 2024Cell Biology

The meiotic LINC complex component KASH5 is an activating adaptor for cytoplasmic dynein

K. E. L. GARNER, A. Salter, C. K. Lau, G. Manickam, C. Villemant, E. P. Granger, G. McNee, P. G. Woodman, O. R. Davies, B. E. Burke, V. J. Allan

This study identifies KASH5 as an activating adaptor for cytoplasmic dynein during meiosis, showing its role in dynein motility and complex assembly.

bioRxiv · Apr 13, 2022 · PreprintCell Biology

Network Organisation and the Dynamics of Tubules in the Endoplasmic Reticulum

H. Perkins, P. Ducluzaux, P. G. Woodman, V. J. Allan, T. A. Waigh

The paper quantifies ER network organisation and dynamics in live cells, classifying tubule motion as active or thermal and identifying indicators of tension imbalances and membrane interactions.

bioRxiv · Mar 11, 2020Biophysics

Deciphering anomalous heterogeneous intracellular transport with neural networks

D. S. Han, N. Korabel, R. Chen, M. Johnston, V. J. Allan, S. Fedotov, T. A. Waigh

This paper develops a deep learning model to analyze heterogeneous intracellular transport by estimating Hurst exponents from short time series data, enabling dynamic segmentation of cellular structures.

bioRxiv · Sep 25, 2019Cell Biology