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Nathalia, B. L.

Publications and source records attributed to Nathalia, B. L..

2 recordsLinked to original sources

Engineered microRNA feedback circuits enable tunable and autonomous control of synthetic receptor activity

Synthetic receptors are powerful tools for cellular engineering, yet their utility is often constrained by constitutive activity and the absence of natural feedback mechanisms that maintain cellular homeostasis. To address this, we engineered an autonomous regulatory circuit for synthetic Notch (synNotch) receptor activation using an orthogonal microRNA (miRNA)-mediated negative feedback mechanism in mammalian cells. Specifically, synNotch activation induces the expression of a synthetic miRNA that targets complementary sites engineered into the synNotch transcript, resulting in a self-limiting feedback loop. We demonstrate that synNotch repression positively correlates with the number of miRNA target sites integrated into the receptor transcript, enabling tunable control of receptor expression. Furthermore, flow cytometry and live-cell imaging analyses revealed effective suppression of synNotch expression following activation. Downstream target gene expression peaked at approximately 48 hours post-activation before gradually declining as the feedback circuit engaged. This approach achieves autonomous synthetic receptor regulation--eliminating the need for external intervention--and enables tunable response dynamics through rational circuit design. Our miRNA feedback strategy provides a generalizable platform for engineering self-regulating synthetic receptor systems with improved control and predictability for cellular engineering applications.

synthetic biology↗

Cell-Free Characterization of Coherent Feed-Forward Loop-Based Synthetic Genetic Circuit

Regulatory pathways inside living cells employ feed-forward architectures to fulfill essential signal processing functions that aide in the interpretation of various types of inputs through noise-filtering, fold-change detection and adaptation. Although it has been demonstrated computationally that a coherent feed-forward loop (CFFL) can function as noise filter, a property essential to decoding complex temporal signals, this motif has not been extensively characterized experimentally or integrated into larger networks. Here we use post-transcriptional regulation to implement and characterize a synthetic CFFL in an Escherichia coli cell-free transcription-translation system and build larger composite feed-forward architectures. We employ microfluidic flow reactors to probe the response of the CFFL circuit using both persistent and short, noise-like inputs and analyze the influence of different circuit components on the steady-state and dynamics of the output. We demonstrate that our synthetic CFFL implementation can reliably repress background activity compared to a reference circuit, but displays low potential as a temporal filter, and validate these findings using a computational model. Our results offer practical insight into the putative noise-filtering behavior of CFFLs and show that this motif can be used to mitigate leakage and increase the fold-change of the output of synthetic genetic circuits.

synthetic biology↗