Harnessing the power of artificial intelligence to advance cell therapy

S Capponi, KG Daniels - Immunological Reviews, 2023 - Wiley Online Library
Cell therapies are powerful technologies in which human cells are reprogrammed for
therapeutic applications such as killing cancer cells or replacing defective cells. The …

Understanding resource competition to achieve predictable synthetic gene expression in eukaryotes

R Di Blasi, J Gabrielli, K Shabestary, I Ziarti… - Nature Reviews …, 2024 - nature.com
Synthetic gene expression in engineered cells typically depends on the host cell's limited
pool of intracellular resources, which can lead to resource competition between native and …

SEMPER: Stoichiometric expression of mRNA polycistrons by eukaryotic ribosomes for compact, ratio-tunable multi-gene expression

M Duan, I Dev, A Lu, G Ayrapetyan, MY You… - Cell Systems, 2024 - cell.com
Here, we present a method for expressing multiple open reading frames (ORFs) from single
transcripts using the leaky scanning model of translation initiation. In this approach termed" …

Using machine learning to enhance and accelerate synthetic biology

K Rai, Y Wang, RW O'Connell, AB Patel… - Current Opinion in …, 2024 - Elsevier
Engineering synthetic regulatory circuits with precise input-output behavior—a central goal
in synthetic biology—remains encumbered by the inherent molecular complexity of cells …

A high-throughput synthetic biology approach for studying combinatorial chromatin-based transcriptional regulation

MA Alcantar, MA English, JA Valeri, JJ Collins - Molecular Cell, 2024 - cell.com
The construction of synthetic gene circuits requires the rational combination of multiple
regulatory components, but predicting their behavior can be challenging due to poorly …

Optimizing Nucleic Acid Delivery Systems through Barcode Technology

S Park, M Kim, JW Lee - ACS Synthetic Biology, 2024 - ACS Publications
Conventional biological experiments often focus on in vitro assays because of the inherent
limitations when handling multiple variables in vivo, including labor-intensive and time …

Decoding biology with massively parallel reporter assays and machine learning

A La Fleur, Y Shi, G Seelig - Genes & Development, 2024 - genesdev.cshlp.org
Massively parallel reporter assays (MPRAs) are powerful tools for quantifying the impacts of
sequence variation on gene expression. Reading out molecular phenotypes with …

Integrating bioelectronics with cell-based synthetic biology

J Rivnay, R Raman, JT Robinson, C Schreib… - Nature Reviews …, 2025 - nature.com
Biohybrid devices based on engineered cells interfaced with bioelectronics represent a
promising union where the strengths of each field can be synergistically combined, resulting …

[HTML][HTML] Searching for the optimal microbial factory: high-throughput biosensors and analytical techniques for screening small molecules

E O'Connor, J Micklefield, Y Cai - Current Opinion in Biotechnology, 2024 - Elsevier
Highlights•Engineering for the bioproduction of natural products is bottlenecked by
screening.•To overcome this, we explore advancements in biosensors and analytical …

Automated Design of Oligopools and Rapid Analysis of Massively Parallel Barcoded Measurements

A Hossain, DP Cetnar, TL LaFleur… - ACS Synthetic …, 2024 - ACS Publications
Oligopool synthesis and next-generation sequencing enable the construction and
characterization of large libraries of designed genetic parts and systems. As library sizes …