Author

S. J. Cooper

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· 1 Evolutionary Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Organism:human· 2 Research Focus:chromatin & epigenetic regulation· 1 Approach:comparative / phylogenetic analysis· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:statistical model· 1

Frequent Co-Authors

C. A. Wright· 1 shared D. Starenki· 1 shared E. R. Gordon· 1 shared H. Koch· 1 shared I. Ribera· 1 shared M. James· 1 shared P. Balart-Garcia· 1 shared P. G. Beasley-Hall· 1 shared

Activity by Year

2018-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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1 shared paperCancer Biology

C. A. Wright

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Transcriptomic and functional analysis of ANGPTL4 overexpression in pancreatic cancer nominates targets that reverse chemoresistance

E. R. Gordon, C. A. Wright, M. James, S. J. Cooper

This study identifies ANGPTL4-driven genes that reverse chemoresistance in pancreatic cancer by targeting ITGB4 and APOL1.

bioRxiv · Dec 21, 2022 · PreprintCancer Biology

Highly dynamic evolution of the chemosensory gene repertoire driven by gene gain and expansion across subterranean beetles

P. Balart-Garcia, T. M. Bradford, P. G. Beasley-Hall, S. Polak, I. Ribera, S. J. Cooper, R. Fernandez

This study investigates the evolution of chemosensory genes in subterranean beetles, finding lineage-specific duplications and losses, including IR25a and IR8a, suggesting parallel evolution in underground adaptation.

bioRxiv · Dec 8, 2022Evolutionary Biology

powerTCR: a model-based approach to comparative analysis of the clone size distribution of the T cell receptor repertoire

H. Koch, D. Starenki, S. J. Cooper, R. M. Myers, Q. Li

The paper introduces a model-based method to analyze T cell receptor repertoire clone size distributions and applies it to datasets to identify differences across biological conditions.

bioRxiv · Oct 22, 2018Immunology