Author

N. Jamieson

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· 2 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Organism:human· 2 Assay:spatial transcriptomics· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Approach:experimental assay· 1

Frequent Co-Authors

A. Cameron· 2 shared A. Legrini· 2 shared H. Leslie· 2 shared O. J. Sansom· 2 shared A. Biankin· 1 shared A. Eaton· 1 shared A. McCooey· 1 shared A. Roseweir· 1 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersCancer Biology

A. Cameron

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Vaccine induction of CD4-mimicking broadly neutralizing antibody precursors in macaques

K. Saunders, J. Counts, V. Stalls, R. Edwards, K. Manne, X. Lu, B. Thakur, K. Mansouri, Y. Chen, R. Parks, M. Barr, L. Sutherland, J. Bal, N. Havill, H. Chen, , B. F. Haynes

This study shows that vaccinating macaques with a CD4bs-targeting immunogen elicits neutralizing bnAb precursors with structural features of CD4-mimicking antibodies.

bioRxiv · Mar 5, 2023 · PreprintImmunology

Spatially Resolved Transcriptomics Deconvolutes Histological Prognostic Subgroups in Patients with Colorectal Cancer and Synchronous Liver Metastases

C. S. Wood, K. Pennel, H. Leslie, A. Legrini, A. Cameron, L. Melissourgou-Syka, J. Quinn, H. Van Wyk, J. Hay, A. Roseweir, C. Nixon, C. Roxburgh, D. McMillan, A. Biankin, O. J. Sansom, , N. Jamieson

This study uses spatial transcriptomics to identify prognostic immune and stromal subgroups in colorectal cancer liver metastases, revealing distinct transcriptomic programs associated with survival outcomes.

bioRxiv · Sep 21, 2022 · PreprintCancer 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