Author

Jennifer Southgate

University of YorkORCID 0000-0002-0135-480XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:differential expression· 2 Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:protein folding & dynamics· 1

Frequent Co-Authors

Simon C. BakeriD· 2 shared Adam DowleiD· 1 shared Andrew N. HoldingiD· 1 shared Andrew S. MasoniD· 1 shared Aparna D Sinha· 1 shared Bruno M. SimõesiD· 1 shared Chloë Baldreki· 1 shared Chris Taylor· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersCancer Biology

Simon C. BakerORCID

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintAug 7, 2025

DIANNeR: label-free RIME resolves lineage-restricted Glucocorticoid Receptor interactomes in normal human tissues

Weiye Zhao, Thomas F. Grimes, Susanna F Rose…·Andrew N. Holding

DIANNeR improves detection of GR interactomes in normal tissues by integrating DIA, ion mobility, and library-free analysis, revealing context-specific networks and previously undetected interactions.

1 citation

humanproteomics

Cancer BiologybioRxivPreprintJun 3, 2025

Biologically-informed machine learning identifies a new clinically-actionable bladder cancer subgroup characterised by NRF2 overactivity

Vlad V. Ungureanu, Richard T. Gawne, Simon C. Baker…·Andrew S. Mason

The paper uses biologically-informed machine learning to identify a new bladder cancer subgroup with NRF2 overactivity, which is clinically actionable and resistant to standard treatments.

DOI 10.1101/2025.06.03.657659

humanbulk RNA-seq