Author

D. A. Skelly

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· 3 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 4 Research Focus:cell type annotation· 3 Organism:mouse· 3 Assay:scRNA-seq· 3 Research Focus:cell-cell communication· 2 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1

Frequent Co-Authors

A. R. Pinto· 3 shared G. E. Farrugia· 2 shared G. T. Squiers· 2 shared M. A. McLellan· 2 shared M. S. I. Dona· 2 shared T. L. Gaynor· 2 shared A. Vinh· 1 shared B. Meeks· 1 shared

Activity by Year

2016-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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3 shared papersCell Biology

A. R. Pinto

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

CLARA: A web portal for interactive exploration of the cardiovascular cellular landscape in health and disease

M. S. I. Dona, I. Hsu, T. S. Rathnayake, G. E. Farrugia, T. L. Gaynor, M. Kharbanda, D. A. Skelly, A. R. Pinto

CLARA provides a web portal for exploring cardiovascular cellular landscapes using single-cell transcriptomic data from mouse and human, enabling analysis of gene expression and cell interactions without specialized expertise.

bioRxiv · Jul 18, 2021 · PreprintCell Biology

High-resolution transcriptomic profiling of the heart during chronic stress reveals cellular drivers of cardiac fibrosis and hypertrophy

M. A. McLellan, D. A. Skelly, M. S. I. Dona, G. T. Squiers, G. E. Farrugia, T. L. Gaynor, C. D. Cohen, R. Pandey, H. Diep, A. Vinh, N. A. Rosenthal, A. R. Pinto

This study uses single-cell transcriptomics to identify cellular drivers of cardiac fibrosis and hypertrophy under chronic stress, revealing sex-specific fibrogenic cell responses.

bioRxiv · Nov 25, 2019Cell Biology

Single cell transcriptional profiling reveals cellular diversity, communication, and sexual dimorphism in the mouse heart

D. A. Skelly, G. T. Squiers, M. A. McLellan, M. T. Bolisetty, P. Robson, N. Rosenthal, A. R. Pinto

This study uses scRNA-seq to analyze the mouse heart's non-myocyte cells, revealing cellular diversity, communication networks, and sexual dimorphism in gene expression.

bioRxiv · Oct 12, 2017Cell Biology

The effect of known mutator alleles in a cluster of clinical Saccharomyces cerevisiae strains

D. A. Skelly, P. M. Magwene, B. Meeks, H. A. Murphy

The paper examines mutator alleles in Saccharomyces cerevisiae clinical strains, finding they only marginally increase mutation rate and lack historical evidence of elevated mutation.

bioRxiv · Nov 30, 2016Evolutionary Biology