Author

Henan Zhu

MRC University of Glasgow Centre for Virus ResearchORCID 0000-0003-1617-0146Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 2 Approach:experimental assay· 2 Research Focus:gene regulatory network inference· 2 Organism:mouse· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:cancer & tumor microenvironment· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Joseph HughesiD· 2 shared Robert James GiffordiD· 2 shared Tristan P. W. DennisiD· 2 shared Abbie Hasson· 1 shared Alexander Ridley· 1 shared Anna GatsevaiD· 1 shared Bilal Ahmed SiddiquiiD· 1 shared Claire M. StoreyiD· 1 shared

Activity by Year

2018-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersGenomics

Joseph HughesORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Pharmacology & ToxicologySignal Transduction and Targeted TherapyPeer-reviewedSep 29, 2025

Development of a LRRC15-Targeted Radio-Immunotheranostic Approach to Deplete Pro-tumorigenic Mechanisms and Immunotherapy Resistance

Claire M. Storey, Mohamed Altai, Katharina Lückerath…·David Ulmert

This paper develops a radio-theranostic approach targeting LRRC15 to image and treat cancer, showing tumor reduction and reversal of immunotherapy resistance.

15 citationstop 3%

mouseexperimental assay

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GenomicsGenome biologyPeer-reviewedMay 13, 2024

A novel approach to exploring the dark genome and its application to mapping of the vertebrate virus 'fossil record'.

Daniel Blanco-Melo, Matthew A. Campbell, Henan Zhu…·Robert James Gifford

The paper introduces a database-integrated genome screening approach to explore the dark genome, identifying over 1.1 million endogenous viral elements across 874 vertebrate species.

15 citations

multiple speciesDNA methylation

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BioinformaticsbioRxivPreprintApr 25, 2018

Database-integrated genome screening (DIGS): exploring genomes heuristically using sequence similarity search tools and a relational database.

Henan Zhu, Tristan P. W. Dennis, Joseph Hughes, Robert James Gifford

The paper introduces a computational framework called DIGS for systematically screening genomes using sequence similarity search tools and a relational database, demonstrating its application in identifying novel endogenous viral elements in mammalian genomes.

17 citations

mousehuman

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