Author

Christine J. Harrison

Newcastle UniversityORCID 0000-0002-0526-6794Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:scRNA-seq· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Anthony V. MoormaniD· 2 shared Ahlam AlqahtaniiD· 1 shared Alastair SmithiD· 1 shared Alexander Winton· 1 shared Alexandra Curran· 1 shared Amir EnshaeiiD· 1 shared Anindita RoyiD· 1 shared Aya Gouma· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersCancer Biology

Anthony V. MoormanORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Cancer BiologybioRxivPreprintApr 27, 2026

CD180 identifies chemoresistant stem-like blasts and reveals a KMT2A-driven vulnerability in acute myeloid leukaemia

Madonna M. Eltoukhy, Alexander Winton, Francesca Fasanella Masci…·Karen Keeshan

This paper identifies CD180 as a marker for chemoresistant stem-like blasts in KMT2A-rearranged paediatric AML, showing its absence on normal HSCs and its role as a therapeutic target.

DOI 10.64898/2026.04.23.720316

humanscRNA-seq

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Cancer BiologyHaematologicaPeer-reviewedMar 19, 2026

B-cell precursor acute lymphoblastic leukaemia with IGH::CEBP rearrangement: what have we learnt over the years?

Ahlam Alqahtani, Kent T.M. Fung, Letizia Marchetti…·Lisa Jane Russell

This paper reviews clinical and demographic features of IGH::CEBP-rearranged BCP-ALL cases and introduces new cases to encourage further study of this rare subtype.

DOI 10.3324/haematol.2025.300431

human

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BioinformaticsbioRxivPreprintMay 23, 2024

A dedicated caller for DUX4 rearrangements from whole-genome sequencing data

Pascal Grobecker, Stefano Berri, John F. Peden…·Martina Mijušković

The paper introduces a software tool to detect DUX4 rearrangements from whole-genome sequencing data, showing it can identify known and previously unidentified cases in a cohort of paediatric ALL patients.

1 citation

humanwhole-genome sequencing

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