Michael B. Elowitz

This study designs synthetic reaction-diffusion circuits in mammalian cells to generate spatial patterns with controllable spatial scales.

This paper engineers caspases to selectively kill cells with mutant Ras by reconstituting active complexes upon detection, showing potent in vitro efficacy against cancer lines.

This paper introduces LagTag, a method to recover both earlier and endpoint chromatin states in mammalian cells, and applies it to study dynamic chromatin transitions during stem cell differentiation.

The paper develops a synthetic paracrine signaling system using auxin to enable spatially restricted multicellular responses in mouse xenografts.

The paper shows that adenylyl cyclases integrate opposing dopamine receptor signals in neurons, with AC isoform expression determining signal outcomes.

This study designs genetically encoded miniproteins to modulate FAK kinase activity, showing they can inhibit or activate FAK in vitro and in cells, and adapt them to target other kinases.

The paper identifies a molecular mechanism for non-genetic learning in single cells using reversible interaction networks and autoregulatory training rules.

This paper introduces a regenerative molecular recording system called hypercascade that enables deep lineage reconstruction by maintaining a constant mutation rate over time.

The paper introduces DIMMERs, miRNA-based circuits that enable precise, tunable control of transgene expression across cell types, improving gene therapy and research applications.

Synaptic MEMOIR maps individual synapses in neuronal projections using protein barcodes, enabling single-synapse resolution in large brain volumes without high-resolution imaging.

This paper introduces a communication-free method to stabilize microbial consortia using stochastic phase variation, demonstrating dynamic stability in 2- and 3-state consortia.

The paper develops Pathway Sculptor to systematically modulate TGF-β receptor subsets, revealing functional interactions between BMP and TGF-β pathways and their collaborative signaling mechanisms.

This paper engineers protease-based protein circuits that selectively kill RAS-mutant cancer cells and suppress tumors, showing resistance reduction and cytotoxicity independent of oncogene addiction.

The paper systematically characterizes Notch ligand-receptor signaling interactions, showing unique profiles of trans-activation, cis-inhibition, and cis-activation across different ligands and receptors.

SPIRFISH detects protein and RNA in single nanoparticles, revealing variability in structure and RNA packaging efficiency.

The paper develops CellSIP to analyze cell-cell signaling in hematopoiesis, identifies feedback mechanisms and pathway correlations, and provides a resource for exploring intercellular signaling.

A synthetic miRNA-based incoherent feed-forward loop circuit embedded in a gene delivery vector overcomes the challenge of overexpression toxicity in a mouse model of Rett syndrome gene therapy.

The paper introduces Lineage Motif Analysis (LMA) to identify progenitor states by analyzing lineage trees, revealing spatial and temporal patterns in cell fate commitment across vertebrate development.

This paper introduces baseMEMOIR, a method that reconstructs high-resolution cell lineage trees and spatial dynamics using base editing and imaging, achieving 792 bits of memory in embryonic stem cells.

The paper analyzes receptor expression patterns across cell types to identify recurring signaling pathway motifs.

The paper shows that dimerization networks can perform diverse computations with varying inputs and are versatile across cell types, especially when large enough.

The paper constructs promoters with varying CpG content to study how CpG density affects silencing rate via DNMT recruitment, finding a strong correlation and identifying a key CpG site.

The paper demonstrates that a single morphogen with an intracellular positive feedback loop can generate stable, long-range spatial patterns through a Turing mechanism.

The paper describes a synthetic protein circuit that performs winner-take-all neural network computation in mammalian cells using engineered protein interactions.

This study investigates the dynamics and functional roles of negative autoregulation by the SF2 splicing factor in single cells, showing its role in regulating protein concentration and reducing cell-to-cell variability.

The paper develops a mathematical model to show how promiscuous ligand-receptor interactions enable efficient cellular addressing through combinatorial signaling.

The paper investigates how BMP ligands interact combinatorially and context-dependently through receptor expression, revealing equivalence groups and a biochemical model for signaling complex formation.

This paper designs a synthetic mammalian circuit using auxin for population control, showing it limits growth more robustly than non-paradoxical designs.

This paper introduces a system called RELEASE that regulates protein secretion and surface display using protease-controlled mechanisms, enabling programmable intercellular communication for biomedical applications.

This paper introduces MultiFate, a synthetic gene circuit that enables controllable multistability in mammalian cells, generating up to seven stable states.