Author

S. V. Puram

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· 5

Signature Assays, Organisms & Methods

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Organism:human· 5 Research Focus:cell type annotation· 4 Research Focus:differential expression· 4 Approach:experimental assay· 3 Assay:scRNA-seq· 3 Research Focus:cell-cell communication· 2 Research Focus:clustering· 2 Research Focus:gene regulatory network inference· 2

Frequent Co-Authors

A. H. Kim· 2 shared I. Tirosh· 2 shared R. Tal· 2 shared A. A. Petti· 1 shared A. C. Greenwald· 1 shared A. D. Sweeney· 1 shared A. Gavish· 1 shared A. J. Patel· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersCancer Biology

A. H. Kim

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Author profile →

5 papers

Recent·Most cited

Targeted proteomic quantitation of NRF2 signaling and predictive biomarkers in HNSCC

N. Wamsley, E. Wilkerson, L. Guan, K. LaPak, T. Schrank, B. Holmes, R. Sprung, P. E. Gilmore, S. Gerndt, R. Jackson, R. Paniello, P. Pipkorn, S. V. Puram, J. Rich, R. R. Townsend, , M. B. Major

This paper develops a targeted proteomics assay to quantify NRF2 pathway components and clinical biomarkers in HNSCC, identifying correlations between NRF2 activity, HPV infection, and immune markers.

bioRxiv · Mar 13, 2023Cancer Biology

Single-cell multi-omic analysis of the vestibular schwannoma ecosystem uncovers a nerve injury-like state

T. F. Barrett, B. Patel, S. M. Khan, A. K. Y. Yim, S. Pugazenthi, T. Mahlokozera, R. D. Z. Mullins, G. J. Zipfel, J. A. Herzog, M. R. Chicoine, C. C. Wick, N. Durakovic, J. W. Osbun, M. Shew, A. D. Sweeney, , A. H. Kim

The paper analyzes single-cell multi-omic data from vestibular schwannomas to identify a nerve injury-like state in tumor-associated Schwann cells linked to myeloid cell recruitment and tumor growth.

bioRxiv · Nov 18, 2022Cancer Biology

The transcriptional hallmarks of intra-tumor heterogeneity across a thousand tumors

A. Gavish, M. Tyler, D. Simkin, D. Kovarsky, L. N. Gonzalez Castro, D. Halder, R. Chanoch-Myers, J. Laffy, M. Mints, A. R. Greenwald, A. Weider, R. Tal, A. Spitzer, T. Hara, A. Tirosh, , I. Tirosh

This study integrates single-cell RNA-seq data from 1,163 tumors across 24 types to identify 41 consensus transcriptional programs and 11 hallmarks of intra-tumor heterogeneity.

bioRxiv · Dec 19, 2021 · PreprintCancer Biology

Spatial drivers and pre-cancer populations collaborate with the microenvironment in untreated and chemo-resistant pancreatic cancer

D. Cui Zhou, R. G. Jayasinghe, J. M. Herndon, E. Storrs, C.-K. Mo, Y. Wu, R. S. Fulton, M. A. Wyczalkowski, C. C. Fronick, L. A. Fulton, L. Thammavong, K. Sato, H. Zhu, H. Sun, L.-B. Wang, , Ch

This paper uses spatial single-cell omics to analyze PDAC tumors and microenvironment, identifying key populations and interactions that may inform treatment strategies.

bioRxiv · Jan 13, 2021Cancer Biology

Pan-cancer single cell RNA-seq uncovers recurring programs of cellular heterogeneity

G. S. Kinker, A. C. Greenwald, R. Tal, Z. Orlova, M. S. Cuoco, J. M. McFarland, A. Warren, C. Rodman, J. A. Roth, S. A. Bender, B. Kumar, J. W. Rocco, P. A. Fernandes, C. C. Mader, H. Keren-Shaul, , I. Tirosh

The paper uses single-cell RNA-seq to analyze cancer cell lines and identifies recurring expression programs of heterogeneity that mirror those in tumors, suggesting intrinsic plasticity contributes to intra-tumoral diversity.

bioRxiv · Oct 21, 2019 · PreprintCancer Biology