Author

S. Rodig

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· 3

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Organism:human· 3 Approach:experimental assay· 2 Research Focus:gene regulatory network inference· 2 Assay:spatial transcriptomics· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1

Frequent Co-Authors

A. Rotem· 2 shared B. M. Titchen· 2 shared E. M. Van Allen· 2 shared I. Wakiro· 2 shared K. Bi· 2 shared S. Vigneau· 2 shared A. M. Tsankov· 1 shared A. N. Hata· 1 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersCancer Biology

A. Rotem

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Author profile →

3 papers

Recent·Most cited

A cellular and spatial atlas of TP53-associated tissue remodeling in lung adenocarcinoma

W. Zhao, B. Kepecs, N. R. Mahadevan, A. Segerstolpe, J. L. Weirather, N. R. Besson, B. Giotti, B. Y. Soong, C. Li, S. Vigneau, M. Slyper, I. Wakiro, J. Jane-Valbuena, O. Ashenberg, A. Rotem, , A. M. Tsankov

This study constructs a multi-omic atlas of TP53-mutant lung adenocarcinoma tumors, revealing altered cellular identity, gene expression programs, and spatial interactions in the tumor microenvironment.

bioRxiv · Jun 28, 2023 · PreprintCancer Biology

Spatially aware deep learning reveals tumor heterogeneity patterns that encode distinct kidney cancer states

J. Nyman, T. Denize, Z. Bakouny, C. Labaki, B. M. Titchen, K. Bi, S. N. Hari, J. Rosenthal, N. Mehta, B. Jiang, B. Sharma, K. Felt, R. Umeton, D. A. Braun, S. Rodig, , E. M. Van Allen

The paper uses spatially aware deep learning to identify tumor heterogeneity patterns in kidney cancer, revealing distinct states associated with different histological subtypes.

bioRxiv · Jan 18, 2023Cancer Biology

Intertumoral lineage diversity and immunosuppressive transcriptional programs in well-differentiated gastroenteropancreatic neuroendocrine tumors

S. E. Hoffman, T. W. Dowrey, C. V. Martin, K. Bi, B. M. Titchen, S. Johri, L. DelloStritto, M. Patel, C. Mackichan, S. Inga, J. Chen, G. Grimaldi, S. Napolitano, I. Wakiro, J. Wu, , G. J. Murphy

This study analyzes single-cell transcriptomes of gastroenteropancreatic neuroendocrine tumors to identify lineage diversity and immunosuppressive programs in tumor and immune cells.

bioRxiv · Nov 8, 2022Cancer Biology