Author

A. Santella

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 Bioengineering· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Research Focus:deconvolution· 1 Approach:deep learning· 1 Assay:DNA methylation· 1

Frequent Co-Authors

A. Alfonso· 1 shared A. B. Chitnis· 1 shared A. Halpern· 1 shared A. Marghoob· 1 shared A. Rossi· 1 shared A. Sahu· 1 shared A. Upadhyaya· 1 shared A. W. Wang· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperCancer Biology

A. Alfonso

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Author profile →

3 papers

Recent·Most cited

Oncogenic IDH mutations increase heterochromatin-related replication stress without impacting tumor mutation burden

J. M. Schvartzman, G. C. Forsyth, H. Walch, W. Chatila, A. Santella, K. Menghrajani, F. Sanchez-Vega, R. Koche, C. B. Thompson

This study shows that IDH mutations cause replication stress through heterochromatin, affecting DNA repair and PARP inhibitor response without increasing mutation burden.

bioRxiv · Aug 4, 2022 · PreprintCancer Biology

Cellular-level phenotyping of tumor-immune microenvironment (TiME) in patients in vivo reveals distinct inflammation and endothelial anergy signatures

A. Sahu, T. Tembo, K. Kose, A. Santella, A. Alfonso, M. Li, M. Cordova, M. Gill, C. Fox, S. Gonzalez, A. W. Wang, N. R. Kurtansky, P. Chandrani, P. Kumar, S. Yin, , M. Rajadhyaksha

The paper uses in vivo cellular-level imaging to phenotype tumor-immune microenvironments, identifying distinct inflammation and endothelial anergy signatures linked to immunotherapy response.

bioRxiv · Jun 10, 2021Cancer Biology

Accelerating iterative deconvolution and multiview fusion by orders of magnitude

M. Guo, Y. Li, Y. Su, T. Lambert, D. D. Nogare, M. W. Moyle, L. H. Duncan, R. Ikegami, A. Santella, I. Rey-Suarez, D. Green, J. Chen, H. Vishwasrao, S. Ganesan, J. C. Waters, , H. Shroff

This paper introduces faster deconvolution and multiview fusion methods, achieving speedups of 10 to several thousand-fold over previous approaches.

bioRxiv · May 23, 2019 · PreprintBioengineering