Author

S. K. Sharan

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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Assay:bulk RNA-seq· 3 Research Focus:drug response / drug discovery· 3 Approach:experimental assay· 3 Organism:mouse· 3 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Organism:human· 2 Assay:proteomics· 2

Frequent Co-Authors

A. Fon· 1 shared A. J. Iacovelli· 1 shared A. Kulaga· 1 shared A. M. Michalowski· 1 shared A. R. Chaudhuri· 1 shared A. Raveendran· 1 shared A. Samaiya· 1 shared C. Graff-Cherry· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperCancer Biology

A. Fon

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Author profile →

3 papers

Recent·Most cited

Interferon restores replication fork stability and cell viability in BRCA-defective cells via ISG15

L. Penengo, U. Biswas, R. N. Moro, S. S. Kharat, P. Das, A. R. Chaudhuri, S. K. Sharan

This study shows interferon (IFN) improves replication fork stability and cell survival in BRCA-defective cells through ISG15, revealing a new mechanism of drug resistance linked to BRCAness.

bioRxiv · Mar 16, 2023 · PreprintCancer Biology

PKM2-mediated epigenetic reprogramming regulates hypoxic expression of PFKFB3 to promote breast cancer progression

M. R. Pandkar, A. Raveendran, K. Biswas, S. A. Mutnuru, J. Mishra, A. Samaiya, S. K. Sharan, S. Shukla

This study identifies PKM2's role in hypoxic breast cancer by regulating PFKFB3 expression through epigenetic reprogramming and HIF-1/HIF-2 interactions.

bioRxiv · Nov 6, 2022Cancer Biology

Multi-model preclinical platform predicts clinical response of melanoma to immunotherapy

E. Perez-Guijarro, H. H. Yang, R. E. Araya, R. El Meskini, H. T. Michael, S. K. Vodnala, K. L. Marie, C. Graff-Cherry, S. Chin, A. J. Iacovelli, A. Kulaga, A. Fon, A. M. Michalowski, W. Hugo, R. S. Lo, , G. Merlino

The paper develops a preclinical platform using syngeneic mouse models to predict melanoma patient response to immunotherapy and identifies a melanocytic plasticity signature linked to treatment outcomes.

bioRxiv · Aug 6, 2019 · PreprintCancer Biology