Author

Mallikarjuna Thippana

University of Hyderabad

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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Bioinformatics· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Ayushi DwivediiD· 2 shared Vaibhav VindaliD· 2 shared Afrin Zulfia S· 1 shared Anita GöndöriD· 1 shared Anne Hansen ReeiD· 1 shared Ayushi ChaurasiyaiD· 1 shared Barbara A. ScholziD· 1 shared Chenying GaoiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Ayushi DwivediORCID

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3 papers

Recent·Most cited

A distal CTCF-binding site drives MYC expression plasticity in a negative feed-forward loop

Chenying Gao, Mirco Martino, Ayushi Chaurasiya, Felipe Beccaria Casagrande, Jia Jia Lim, Yuri S. van Ekelenburg, Feng Wei, Yan Liu, Barbara A. Scholz, Parag Mishra, Mallikarjuna Thippana, Dennis Torkornoo, Phong KT. Chau, Rabia Khan, Tone Møller Tannæs, , Anita Göndör

The paper identifies a CTCF-binding site that regulates MYC expression plasticity through a negative feed-forward loop involving CCAT1 eRNA and MYC protein feedback.

bioRxiv · Jan 31, 2026 · PreprintCancer Biology

LCLNCRdb: A Comprehensive Resource for Investigating long non-coding RNAs in Lung Cancer

Ayushi Dwivedi, Afrin Zulfia S, Mallikarjuna Thippana, Sai Nikhith Cholleti, Vaibhav Vindal

LCLNCRdb is a manually curated database of 1102 lung cancer-associated lncRNAs with expression, network, and survival data, providing a resource for research and data sharing.

bioRxiv · Feb 14, 2025 · PreprintBioinformatics

Prioritization of Lung Cancer Candidate Genes using Moment of Inertia Tensor Analysis

Ayushi Dwivedi, Mallikarjuna Thippana, P. Manimaran, Vaibhav Vindal

This study prioritizes lung cancer candidate genes using moment of inertia tensor analysis of amino acid physicochemical properties, identifying four genes linked to poor survival.

bioRxiv · Oct 18, 2024 · PreprintBioinformatics