Author

Nan Jiang

Shanghai Medical College of Fudan University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Same name, identified by ORCID

Biology Disciplines

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Genetic & Genomic Medicine· 1 Microbiology· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Research Focus:chromatin & epigenetic regulation· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Approach:statistical model· 1 Research Focus:transcription & RNA processing· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Ahmed I. MarwaniD· 1 shared Aida M. S. SalemiD· 1 shared Alan R. ShuldineriD· 1 shared Allison E. Ashley‐KochiD· 1 shared Anna AlkelaiiD· 1 shared Anna Yurrita· 1 shared Antoine ChailloniD· 1 shared Arzoo M. PateliD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Ahmed I. MarwanORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

A naturally occurring Tat R52W variant in brain-derived HIV attenuates transcription and may contribute to reservoir persistence

Hongjie Chen, Nan Jiang, Yuyang Tang, Antoine Chaillon, Sara Gianella Weibel, David M. Margolis, Venkat R. Chirasani, Guochun Jiang

This study identifies an HIV-1 Tat variant (R52W) that reduces transcriptional activity, potentially contributing to viral persistence during ART.

bioRxiv · Sep 23, 2026 · PreprintMicrobiology

GALILEO: Embodied AI scientist for autonomous therapeutic discovery in dynamic membrane systems

Nan Jiang, Rongyuan Wei, Hao Xiao, Zhenfei Yin, Xi Wang, Taoyong Cui, Ke Shao, Jian Zhou, Jia Fan, Philip H. S. Torr, Yingcheng Wu, Qi Gao

GALILEO autonomously discovers therapeutic peptides by combining AI reasoning with lab experiments, identifying peptides that block membrane currents and modulate immune responses.

bioRxiv · Jun 12, 2026 · PreprintMolecular Biology

The contribution of de novo coding mutations to meningomyelocele

Yoo-Jin Jiny Ha, Ashna Nisal, Isaac Tang, Chanjae Lee, Ishani Jhamb, Cassidy Wallace, Robyn E. Howarth, Sarah Schroeder, Keng Ioi Vong, Naomi Meave Ojeda, Fiza Jiwani, Chelsea Barrows, Sangmoon Lee, Nan Jiang, Arzoo M. Patel, , Joseph G. Gleeson

The paper identifies de novo mutations contributing to meningomyelocele risk by analyzing trios and finding damaging mutations in 22.3% of cases.

Nature · Mar 26, 2025Peer-reviewedGenetic & Genomic Medicine