Author

S. J. Bush

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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Cell Biology· 1 Evolutionary Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:clustering· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:comparative / phylogenetic analysis· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1

Frequent Co-Authors

A. Goriely· 1 shared B. D. Simons· 1 shared B. Wang· 1 shared D. A. Hume· 1 shared K. Summers· 1 shared K. Ye· 1 shared L. Xu· 1 shared R. Nikola· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperCell Biology

A. Goriely

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Human spermatogonial stem cells retain states with a foetal-like signature

S. J. Bush, R. Nikola, S. Han, S. Suzuki, S. Yoshida, B. D. Simons, A. Goriely

This study identifies a foetal-like state 0B in human spermatogonial stem cells that maintains a suppressive transcriptomic program, contrasting with rodent models where this state is not maintained into adulthood.

bioRxiv · Mar 18, 2024Cell Biology

Evolutionary analysis of conserved non-coding elements subsequent to whole-genome duplication in opium poppy

Y. Xu, S. J. Bush, X. Yang, L. Xu, B. Wang, K. Ye

This study analyzes the evolutionary patterns of regulatory and coding sequences in opium poppy following whole-genome duplication, showing rapid regulatory element evolution contributes to new phenotypes.

bioRxiv · May 6, 2023Evolutionary Biology

Transcriptional network analysis of transcriptomic diversity in resident tissue macrophages and dendritic cells in the mouse mononuclear phagocyte system.

K. Summers, S. J. Bush, D. A. Hume

The paper analyzes transcriptomic diversity in mouse mononuclear phagocyte system cells using RNA-seq data, finding that surface markers poorly define subpopulations and that co-expression patterns reveal functional clusters.

bioRxiv · Mar 24, 2020Immunology