Author

Sunantha Sethuraman

AbbVie (United States)ORCID 0000-0003-2636-5983Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Alexander M. IshoviD· 1 shared Andreas DzungiD· 1 shared Andreja Jovic· 1 shared Christian Corona· 1 shared Cyril Y. RamathaliD· 1 shared Evelyn LattmanniD· 1 shared Jianhong Hu· 1 shared Kiran Saini· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperMolecular Biology

Alexander M. IshovORCID

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2 papers

Recent·Most cited

Molecular BiologybioRxivPreprintApr 7, 2026

Non-canonical histone H3.3 and its chaperones HIRA and DAXX participate in the regulation of KSHV latency

Sarah McMahon, Vaibhav Jain, Viacheslav M. Morozov…·Rolf Renne

This study shows that H3.3 and its chaperones HIRA and DAXX regulate KSHV latency by promoting chromatinization and stability of the viral episome.

DOI 10.64898/2026.04.02.716100

experimental assay

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Cancer BiologybioRxivPreprintJan 22, 2025

Deep learning-driven morphology analysis enables label-free classification of therapeutic agent- naive versus resistant cancer cells

Cyril Y. Ramathal, Kiran Saini, Zhouyang Lian…·Andreja Jovic

This study uses deep learning to classify drug-naive and resistant cancer cells based on morphology, achieving high accuracy across multiple cancer types and drug classes.

1 citation

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