Ron Weiss

This paper introduces a neuromorphic framework for programmable mammalian cells, enabling the design of analog circuits through generative programming and biomorphic neural networks.

This study generates functional endothelial cells from human iPSCs using ETV2 overexpression, enabling the creation of vascularized microphysiological models.

This study investigates how DNA methylation and H3K9me3 maintain transgene silencing and shows that targeted DNA demethylation can reverse it in mammalian cells.

This study reveals analog epigenetic memory through graded DNA methylation, showing its temporal stability and role in gene expression regulation.

This paper designs a drug-regulated gene expression system using self-amplifying RNA with TMP-responsive degradation domains, showing enhanced immune responses in mice.

The paper develops a toggle switch genetic circuit in plants using computationally selected components and in silico models, demonstrating predictable function in stably engineered plants.

The paper introduces a magnetic microrobot platform to spatiotemporally control cell differentiation by delivering biological signals to target cells.

The paper investigates the N-glycome changes during neuronal differentiation and finds that brain-specific N-glycans like Man-5 are programmed independently of the transcriptome.

This paper develops Mazebots and cellbots for navigating dense mammalian environments, demonstrating their biocompatibility and potential for biomedical applications.

The paper identifies OCT4 trajectories critical for reprogramming human fibroblasts to iPSCs and develops a synthetic genetic circuit to enforce these trajectories, improving reprogramming efficiency.

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.

This paper develops synthetic phosphorylation-based signaling networks in mammalian cells that are tunable, precise, and robust to perturbations.

The paper derives an Engineering Error Inequality to estimate measurement precision requirements for genetic regulatory network engineering and validates these requirements using flow cytometry data.

This paper develops an endoribonuclease-based feedforward loop to improve modularity in genetic systems by reducing resource competition in mammalian cells.

The paper introduces PERSIST, a CRISPR-based RNA regulation platform that enables programmable gene circuit design through modular RNA-level switches, showing resistance to silencing compared to transcriptional regulation.