Author

A. Ratan

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· 2 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:development & morphogenesis· 1 Research Focus:differential expression· 1 Organism:Drosophila· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

A. Beckerman· 1 shared A. Chatrath· 1 shared A. Dutta· 1 shared A. O. Bergland· 1 shared B. M. Paschal· 1 shared C. S. Murray· 1 shared C. YANG· 1 shared D. Becker· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperEvolutionary Biology

A. Beckerman

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Author profile →

3 papers

Recent·Most cited

Induction of PARP7 Creates a Vulnerability for Growth Inhibition by RBN2397 in Prostate Cancer Cells

C. YANG, K. Wierbilowicz, N. M. Dworak, S. Y. Bae, S. B. Tengse, N. Abianeh, J. Drake, T. Abbas, A. Ratan, D. Wotton, B. M. Paschal

This paper shows that inhibiting PARP7 with RBN2397 reduces prostate cancer cell growth through multiple mechanisms, including trapping PARP7 in the nucleus and affecting gene expression.

bioRxiv · Sep 2, 2022Cancer Biology

Polygenic variation in sexual investment across an ephemerality gradient in Daphnia pulex

K. B. Barnard-Kubow, D. Becker, C. S. Murray, R. Porter, G. Gutierrez, P. A. Erickson, J. C. B. Nunez, E. Voss, K. Suryamohan, A. Ratan, A. Beckerman, A. O. Bergland

The paper investigates polygenic variation in sexual investment in Daphnia pulex across an ephemerality gradient, finding that clonal diversity, not genetic diversity, varies with ephemerality and identifying multiple QTL for male production.

bioRxiv · Jun 23, 2021 · PreprintEvolutionary Biology

The Germline Variants rs61757955 and rs34988193 are Predictive of Survival in Low Grade Glioma Patients

A. Chatrath, M. Kiran, P. Kumar, A. Ratan, A. Dutta

The paper identifies two germline variants predictive of poor survival in low grade glioma patients using Cox regression analysis of exome sequencing data.

bioRxiv · Dec 18, 2018Cancer Biology