Multicellular organisms perform sophisticated computations on a myriad of environmental cues and produce many discrete cell states in response. These phenotypes are often defined by their type and level of gene expression. To recapitulate natural systems and engineer synthetic versions, the Computation via Recombinase Assisted Transcriptional Effectors (CREATE) platform presented here couples programmable transcription factors and site-specific recombinases to bridges an existing gap between digital and analog signal transmission in mammalian cells. This work demonstrates differential regulation of multiple protein expression levels in the same cell and complex operations, such as multiplication of two 2-bit recombinase input signals and c...
Gene regulatory networks lay at the foundation of biological function and are responsible for drivin...
Background: In order to understand and regulate complex genetic networks in living cells, it is impo...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Biology, 2016.This electronic v...
One of the goals of synthetic biology is to develop programmable artificial gene networks that can t...
SummaryOne of the goals of synthetic biology is to develop programmable artificial gene networks tha...
The development and progress in synthetic biologyhas been remarkable. Although still in its infancy,...
One of the goals of synthetic biology is to develop programmable artificial gene networks that can t...
Kiwimagi & Letendre et al. present a workflow to quantitatively define recombinase-based digitizer a...
Precise control of gene expression is not only crucial for the study of gene functions but also pivo...
Abstract As synthetic biology permeates society, the signal processing circuits in engineered living...
AbstractMany synthetic gene circuits are restricted to single-use applications or require iterative ...
Synthetic biology and biomolecular computing research, in the past two decades, has enabled design o...
Synthetic biology, an engineering, circuit-driven approach to biology, has developed whole new class...
During development, state transitions are coordinated through changes in the identity of molecular r...
The development and progress in synthetic biologyhas been remarkable. Although still in its infancy,...
Gene regulatory networks lay at the foundation of biological function and are responsible for drivin...
Background: In order to understand and regulate complex genetic networks in living cells, it is impo...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Biology, 2016.This electronic v...
One of the goals of synthetic biology is to develop programmable artificial gene networks that can t...
SummaryOne of the goals of synthetic biology is to develop programmable artificial gene networks tha...
The development and progress in synthetic biologyhas been remarkable. Although still in its infancy,...
One of the goals of synthetic biology is to develop programmable artificial gene networks that can t...
Kiwimagi & Letendre et al. present a workflow to quantitatively define recombinase-based digitizer a...
Precise control of gene expression is not only crucial for the study of gene functions but also pivo...
Abstract As synthetic biology permeates society, the signal processing circuits in engineered living...
AbstractMany synthetic gene circuits are restricted to single-use applications or require iterative ...
Synthetic biology and biomolecular computing research, in the past two decades, has enabled design o...
Synthetic biology, an engineering, circuit-driven approach to biology, has developed whole new class...
During development, state transitions are coordinated through changes in the identity of molecular r...
The development and progress in synthetic biologyhas been remarkable. Although still in its infancy,...
Gene regulatory networks lay at the foundation of biological function and are responsible for drivin...
Background: In order to understand and regulate complex genetic networks in living cells, it is impo...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Biology, 2016.This electronic v...