Author

S. E. McClelland

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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Cancer Biology· 2 Cell Biology· 2

Signature Assays, Organisms & Methods

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Organism:human· 4 Research Focus:chromatin & epigenetic regulation· 3 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Assay:fluorescence / live-cell microscopy· 1

Frequent Co-Authors

D. C. J. Spierings· 3 shared F. Foijer· 3 shared B. Bakker· 2 shared R. Wardenaar· 2 shared A. Andersen· 1 shared A. Bonfim-Melo· 1 shared A. M. Andersen· 1 shared A. Mazzagatti· 1 shared

Activity by Year

2018-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersCell Biology

D. C. J. Spierings

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Tracking genome evolution in single cell clones reveals the rates and features of copy number alterations generated by ongoing chromosomal instability in cancer.

S. E. McClelland, M. A. Guscott, D. Gomez-Peregrina, A. Andersen, T. Soliman, C. Vidal-Horrach, B. Bakker, D. C. J. Spierings, R. Wardenaar, F. Foijer, C. Serrano, R. Schwarz

The paper tracks genome evolution in single-cell clones to reveal copy number alteration rates and features in cancer driven by chromosomal instability.

bioRxiv · Sep 27, 2023 · PreprintCancer Biology

A high-resolution, nanopore-based artificial intelligence assay for DNA replication stress in human cancer cells

M. J. K. Jones, S. K. Rai, P. L. Pfuderer, A. Bonfim-Melo, J. K. Pagan, P. R. Clarke, S. E. McClelland, M. A. Boemo

This paper introduces an AI-powered nanopore sequencing method to measure DNA replication stress in cancer cells, showing it can distinguish fork slowing from stalling and detect therapy-specific replication stress signatures.

bioRxiv · Sep 22, 2022Cancer Biology

Inducing Specific Chromosome Mis-Segregation in Human Cells

L. Tovini, S. C. Johnson, A. M. Andersen, D. C. J. Spierings, R. Wardenaar, F. Foijer, S. E. McClelland

This study induces specific chromosome mis-segregation in human cells using CRISPR-Cas9 to create designer karyotypes and study aneuploidy's cellular effects.

bioRxiv · Apr 19, 2022 · PreprintCell Biology

Non-Random Mis-Segregation of Human Chromosomes.

J. T. Worrall, N. Tamura, N. Shaikh, A. Mazzagatti, T. van Lingen, B. Bakker, D. C. J. Spierings, E. Vladimirou, F. Foijer, S. E. McClelland

The paper shows that human chromosome mis-segregation is non-random, with specific chromosomes showing higher rates of aneuploidy due to cohesion fatigue.

bioRxiv · Mar 8, 2018Cell Biology