Author

Ming-Ru Wu

Harvard UniversityORCID 0000-0002-2533-8484Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Synthetic Biology· 3

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Assay:CRISPR screen· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Organism:mouse· 1

Frequent Co-Authors

Abdulmajeed SalamahiD· 1 shared Alicja Przybyszewska-PodstawkaiD· 1 shared Bo ZhuiD· 1 shared Christian Cuba SamaniegoiD· 1 shared Chu-Yen Chen· 1 shared Eiji NakamuraiD· 1 shared Enoch AntwiiD· 1 shared Frank Britto BissoiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperSynthetic Biology

Abdulmajeed SalamahORCID

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3 papers

Recent·Most cited

TREND: A generalizable synthetic enhancer discovery platform for targeted immunotherapy

Yingbo Jia, Chu-Yen Chen, Bo Zhu, Zhigui Wu, Yi‐Chia Wu, Ren‐Qi Wang, Abdulmajeed Salamah, Sushmita Halder, Yen‐Nien Liu, Yingjie Guo, Ying Chen, Luca Scimeca, Hang Yin, Tejas Sabu, Yutao Wang, , Ming-Ru Wu

TREND identifies context-specific enhancers for targeted immunotherapy by analyzing TF-responsive enhancer libraries in ovarian cancer.

bioRxiv · May 7, 2026 · PreprintSynthetic Biology

Sequestration-Based Neural Networks That Operate Out of Equilibrium

Eiji Nakamura, Frank Britto Bisso, Ignacio Gispert, Hossein Moghimianavval, Sota L Okuda, Alicja Przybyszewska-Podstawka, Samuel Chisholm, Varunaa Sri Hemanth Kumar, Valerie A Pérez Medina, Ming-Ru Wu, Christian Cuba Samaniego

This paper designs and experimentally validates biomolecular neural networks using molecular sequestration, demonstrating their ability to function as linear classifiers in living systems.

bioRxiv · May 16, 2025 · PreprintSynthetic Biology

A Synthetic Transcription Platform for Programmable Gene Expression in Mammalian Cells

William C. W. Chen, Leonid Gaidukov, Yong Lai, Ming-Ru Wu, Jicong Cao, Michael J. Gutbrod, Gigi C.G. Choi, Rachel P. Utomo, Ying-Chou Chen, Liliana Wróblewska, M Kellis, Lin Zhang, Ron Weiss, Timothy K. Lu

The paper introduces a CRISPR-based synthetic transcription system for programmable gene expression in mammalian cells, demonstrating its ability to control gene activity and cellular functions with high tunability.

Nature Communications · Oct 18, 2022Peer-reviewedSynthetic Biology