Author

Priyanka Chakraborty

Indian Institute of Science BangalorePrimary ORCID profile (0009-0001-6876-0036 · 7 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Priyanka ChakrabortyiD7 papers · National Brain Research Centre

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Mohit Kumar JollyiD· 3 shared Sarthak SahooiD· 2 shared Adrian BiddleiD· 1 shared Dania Zuhier Ragheb AlkhatibiD· 1 shared Divyoj SinghiD· 1 shared Gehad YoussefiD· 1 shared Herbert LevineiD· 1 shared Jason Thomas GeorgeiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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3 shared papersCancer Biology

Mohit Kumar JollyORCID

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3 papers

Recent·Most cited

Malignant and stromal partial EMT programmes and cetuximab outcome in head and neck cancer

Dania Zuhier Ragheb Alkhatib, Sophia Lunetto, Priyanka Chakraborty, Mohit Kumar Jolly, Michael P. Philpott, Adrian Biddle, Gehad Youssef, Namshik Han

The paper identifies malignant and stromal partial EMT programs in head and neck cancer and shows that malignant measures correlate with better cetuximab outcomes.

bioRxiv · Oct 12, 2026 · PreprintCancer Biology

Transcriptomic-based quantification of the epithelial-hybrid-mesenchymal spectrum across biological contexts

Susmita Mandal, Tanishq Tejaswi, Rohini Janivara, Syamanthak Srikrishnan, Pradipti Thakur, Sarthak Sahoo, Priyanka Chakraborty, Sukhwinder Singh Sohal, Herbert Levine, Jason Thomas George, Mohit Kumar Jolly

The paper compares three transcriptomic metrics to quantify epithelial-mesenchymal plasticity across cancer and non-cancer contexts, finding high concordance and applicability beyond cancer.

Biomolecules · Dec 25, 2021Peer-reviewedBioinformatics

Emergent properties of HNF4α-PPARγ network may drive consequent phenotypic plasticity in NAFLD

Sarthak Sahoo, Divyoj Singh, Priyanka Chakraborty, Mohit Kumar Jolly

The paper develops a mathematical model of the HNF4α-PPARγ network to show how it enables phenotypic plasticity in NAFLD by allowing hepatocytes to adopt adipocyte-like states.

Journal of Clinical Medicine · Mar 22, 2020Peer-reviewedSystems Biology