Author

S. Fitzgerald

University of London

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· 1 Microbiology· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:chromatin & epigenetic regulation· 2 Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Assay:DNA methylation· 1 Organism:E. coli· 1

Frequent Co-Authors

A. Bartlett· 1 shared A. MacCormick· 1 shared A. Sementsova· 1 shared Alik S. WidgeiD· 1 shared B. Lawrence· 1 shared B. Robinson· 1 shared B. Woodhouse· 1 shared C. Blenkiron· 1 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperCancer Biology

A. Bartlett

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Towards Biophysical Markers of Depression Vulnerability

Dimitris A. Pinotsis, S. Fitzgerald, C. See, A. Sementsova, Alik S. Widge

The paper develops biophysical models of neural dynamics from EEG data to identify biomarkers for depression subtyping, showing better classification than traditional EEG features.

Frontiers in Psychiatry · Oct 18, 2022Peer-reviewedNeuroscience

Prophage-dependent recombination drives genome structural variation and phenotypic heterogeneity in Escherichia coli O157:H7

S. Fitzgerald, N. Lupolova, S. Shaaban, T. J. Dallman, D. Greig, L. Allison, S. C. Tongue, J. Evans, M. K. Henry, T. N. McNeilly, J. L. Bono, D. L. Gally

This paper shows that prophage-dependent recombination generates structural variants in E. coli O157, leading to phenotypic heterogeneity and adaptation.

bioRxiv · Dec 2, 2020 · PreprintMicrobiology

Recurrent loss of heterozygosity correlates with clinical outcome in pancreatic neuroendocrine cancer

B. Lawrence, C. Blenkiron, K. Parker, P. Tsai, S. Fitzgerald, P. Shields, M. L. Yeong, N. Kramer, T. Robb, S. M. James, M. Black, V. Fan, N. Poonawala, P. Yap, E. Coats, , C. G. Print

The paper identifies two distinct aneuploidy patterns in pancreatic neuroendocrine tumors (pNETs) associated with poor and good clinical outcomes, respectively, and highlights MEN1 mutations as a significant driver.

bioRxiv · Nov 8, 2017Cancer Biology