Author

M. A. Sanborn

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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Bioengineering· 1 Cancer Biology· 1 Cell Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 4 Research Focus:differential expression· 3 Approach:experimental assay· 3 Organism:human· 3 Assay:scRNA-seq· 3 Organism:mouse· 2 Research Focus:cell signaling & trafficking· 1 Approach:deep learning· 1

Frequent Co-Authors

J. Rehman· 3 shared P. T. Toth· 2 shared X. Wang· 2 shared A. L. Rothman· 1 shared A. Rivera· 1 shared A. Srikiatkhachorn· 1 shared A. Waickman· 1 shared C. Fung· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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3 shared papersCancer Biology

J. Rehman

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Impaired Barrier Integrity of the Skeletal Muscle Vascular Endothelium Drives Progression of Cancer Cachexia

Y.-M. Kim, M. A. Sanborn, X. Wang, G. Mancinelli, S. Chakraborty, S. Vijeth, P. Gajwani, P. Grippo, S. S.-Y. Lee, T. Valyi-Nagy, P. T. Toth, K. Valyi-Nagy, J. Rehman

This study identifies impaired vascular endothelial integrity in skeletal muscle as a driver of cancer cachexia and shows that restoring endothelial PGC1 can prevent muscle loss.

Nature Cancer · May 26, 2025Peer-reviewedCancer Biology

Matrimeres are systemic nanoscale mediators of tissue integrity and function

K. Debnath, I. Qayoom, S. O'Donnell, J. Ekiert, C. Wang, M. A. Sanborn, C. Liu, A. Rivera, I. S. Cho, S. Saichellappa, P. T. Toth, D. Mehta, J. Rehman, X. Du, Y. Gao, J.-W. Shin

The paper identifies matrimeres as nanoscale mediators of tissue integrity, showing they can restore vascular integrity after injury and are reconstituted from fibronectin, DNA, and acidic conditions.

bioRxiv · Mar 25, 2024 · PreprintBioengineering

SenePy: Unveiling the Cell-Type Specific Landscape of Cellular Senescence through Single-Cell Analysis in Living Organisms

M. A. Sanborn, X. Wang, S. Gao, Y. Dai, J. Rehman

SenePy identifies cell-type specific senescence signatures from single-cell data, improving senescent cell detection in vivo and revealing increased senescence in diseases like COVID-19 and myocardial infarction.

bioRxiv · Aug 30, 2023Cell Biology

Analysis of cell-associated DENV RNA by oligo(dT) primed 5' capture scRNAseq

M. A. Sanborn, T. Li, K. Victor, H. Siegfried, C. Fung, A. L. Rothman, A. Srikiatkhachorn, S. Fernandez, D. W. Ellison, R. Jarman, H. Friberg, I. Maljkovic Berry, J. R. Currier, A. Waickman

This study uses 5' capture scRNAseq to detect and quantify DENV RNA in infected cells, revealing viral sequence variability and identifying infected cell types.

Scientific Reports · Jun 3, 2020Peer-reviewedMicrobiology