Author

R. Amirkhah

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· 3 Cell Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Research Focus:cell type annotation· 3 Research Focus:differential expression· 3 Organism:human· 3 Approach:statistical model· 3 Assay:scRNA-seq· 2 Research Focus:cell-cell communication· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

M. Lawler· 3 shared N. C. Fisher· 3 shared P. D. Dunne· 3 shared B. Ahmaderaghi· 2 shared F. Lamrock· 2 shared H. Naderi-Meshkin· 2 shared O. J. Sansom· 2 shared R. Byrne· 2 shared

Activity by Year

2022-2024 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 44 mutual co-author links

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3 shared papersCancer Biology

M. Lawler

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

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

C. Bull, R. M. Byrne, N. C. Fisher, S. M. Corry, R. Amirkhah, J. Edwards, L. Hillson, M. Lawler, A. Ryan, F. Lamrock, P. D. Dunne, S. B. Malla

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

bioRxiv · Mar 15, 2024 · PreprintCancer Biology

Impaired Function in Diabetic Patient iPSCs-derived Blood Vessel Organoids Stem from a Subpopulation of Vascular Cells

H. Naderi-Meshkin, M. Eleftheriadou, G. Carney, V. A. Cornelius, C.-A. Nelson, S. Kelaini, A. Yacoub, C. Donaghy, P. D. Dunne, R. Amirkhah, A. Zampetaki, L. Zeng, A. W. Stitt, D. J. Grieve, A. Margariti

This study identifies impaired vascular function in diabetic iPSCs-derived blood vessel organoids, highlighting a subpopulation of endothelial cells with increased ROS and oxidative phosphorylation.

bioRxiv · Jul 18, 2022 · PreprintCell Biology

MmCMS: Mouse models' Consensus Molecular Subtypes of colorectal cancer

R. Amirkhah, K. Gilroy, S. Malla, T. Lannagan, R. Byrne, N. C. Fisher, S. Corry, H. Naderi-Meshkin, B. Ahmaderaghi, R. Murray, M. Mills, A. Campbell, ACRCelerate consortium, A. Berenguer Llergo, R. Sanz-Pamplona, , P. Dunne

The paper develops three methods to classify mouse colorectal cancer models into human CMS subtypes, finding that pathway-level classifiers outperform gene-level ones for accurate subtype identification.

bioRxiv · Jun 17, 2022Cancer Biology

Biological misinterpretation of transcriptional signatures in tumour samples can unknowingly undermine mechanistic understanding and faithful alignment with preclinical data

N. C. Fisher, R. Byrne, H. Leslie, C. Wood, A. Legrini, A. Cameron, B. Ahmaderaghi, S. Corry, S. Malla, R. Amirkhah, A. McCooey, E. Rogan, K. Redmond, S. Sakhnevych, E. Domingo, , P. D. Dunne

The paper shows that transcriptional signatures in tumour samples can be misinterpreted due to stromal influences, affecting alignment with preclinical data.

bioRxiv · Apr 15, 2022 · PreprintCancer Biology