Author

Raheleh Amirkhah

Queen's University BelfastORCID 0000-0003-3494-271XUnclaimed 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· 4 Assay:bulk RNA-seq· 3 Research Focus:differential expression· 3 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Philip D. DunneiD· 4 shared Mark LawleriD· 3 shared Simon John LeedhamiD· 3 shared Sudhir B. MallaiD· 3 shared Aideen E. RyaniD· 2 shared Andrew D. CampbelliD· 2 shared Courtney BulliD· 2 shared Keara L. RedmondiD· 2 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersCancer Biology

Philip D. DunneORCID

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4 papers

Recent·Most cited

Cancer BiologybioRxivPreprintJun 18, 2026

Stromal Prostaglandin is a Dominant Spatial Regulator of Cell-fate Plasticity in Colorectal Cancer

Corinne Molyneux, Rhianna O’Sullivan, Eoghan J. Mulholland-Illingworth…·Christopher J. Tape

This study identifies stromal prostaglandin E2 as a key regulator of cell-fate plasticity in colorectal cancer, showing it converts chemosensitive stem cells into chemorefractory, prometastatic cells.

1 citation

humanorganoid / primary culture

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Cancer BiologyCommunications BiologyPeer-reviewedMay 26, 2026

Viral mimicry redirects immunosuppressed colorectal tumour landscapes towards a proinflammatory and CMS1-like regenerative state

Shania M. Corry, Svetlana S. Sakhnevych, Noha Ehssan Mohamed…·Philip D. Dunne

This study shows that poly(I:C) treatment in CMS4 colorectal tumors induces a pro-inflammatory, CMS1-like regenerative state and identifies biomarkers for predicting therapeutic response.

DOI 10.1038/s42003-026-10295-9

humanbulk RNA-seq

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Cancer BiologyScientific ReportsPeer-reviewedDec 4, 2024

Evaluation of Gene Set Enrichment Analysis (GSEA) tools highlights the value of single sample approaches over pairwise for robust biological discovery.

Courtney Bull, Ryan M. Byrne, Natalie C. Fisher…·Sudhir B. Malla

This study compares GSEA tools and finds single sample approaches better capture biological distinctions than pairwise methods in cancer recurrence analysis.

14 citations

humanbulk RNA-seq

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BioinformaticsDisease Models & MechanismsPeer-reviewedFeb 3, 2022

The Molecular Subtyping Resource (MouSR): a user-friendly tool for rapid biological discovery from human or mouse transcriptional data

Baharak Ahmaderaghi, Raheleh Amirkhah, James Jackson…·Philip D. Dunne

MouSR is an open-source tool for rapid transcriptomic analysis of human or mouse data, enabling biological discovery without programming expertise.

9 citations

humanmouse

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