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Design files for molds for microfluidic modules (used for fabrication of two-layer polydimethylsiloxane (PDMS) devices). LabVIEW scripts for operating microfluidic devices for automated cell culture under dynamically changing media compositions., JT was supported by a Grant from the Swiss National Science Foundation (Marie-Heim Voegtlin Fellowship, PMPDP3_171383). This work was also supported by the European Research Council under the European Union's Horizon 2020 research and innovation program Grant 723106 (to SJM), a Swiss National Science Foundation NRP (National Research Program) 78 Covid-19 Grant 198412 (to SJM).

Forward engineering synthetic circuits are at the core of synthetic biology. Automated solutions will be required to facilitate circuit design and implementation. Circuit design is increasingly being automated with design software, but innovations in experimental automation are lagging behind. Microfluidic technologies made it possible to perform in vitro transcription-translation (tx-tl) reactions with increasing throughput and sophistication, enabling screening and characterization of individual circuit elements and complete circuit designs. Here, we developed an automated microfluidic cell-free processing unit (CFPU) that extends high-throughput screening capabilities to a steady-state reaction environment, which is essential for the implementation and analysis of more complex and dynamic circuits. The CFPU contains 280 chemostats that can be individually programmed with DNA circuits. Each chemostat is periodically supplied with tx-tl reagents, giving rise to sustained, long-term steady-state conditions. Using microfluidic pulse width modulation (PWM), the device is able to generate tx-tl reagent compositions in real time. The device has higher throughput, lower reagent consumption, and overall higher functionality than current chemostat devices. We applied this technology to map transcription factor-based repression under equilibrium conditions and implemented dynamic gene circuits switchable by small molecules. We expect the CFPU to help bridge the gap between circuit design and experimental automation for in vitro development of synthetic gene circuits.

Cell-free systems offer a promising approach to engineer biology since their open nature allows for well-controlled and characterized reaction conditions. In this review, we discuss the history and recent developments in engineering recombinant and crude extract systems, as well as breakthroughs in enabling technologies, that have facilitated increased throughput, compartmentalization, and spatial control of cell-free protein synthesis reactions. Combined with a deeper understanding of the cell-free systems themselves, these advances improve our ability to address a range of scientific questions. By mastering control of the cell-free platform, we will be in a position to construct increasingly complex biomolecular systems, and approach natural biological complexity in a bottom-up manner.

Although not employed in the clinic as of yet, microfluidic systems are likely to become a key technology for cancer diagnostics and prognosis. Microfluidic devices have been developed for the analysis of various biomarkers including circulating tumor cells, cell-free DNA, exosomes, and proteins, primarily in liquid biopsies such as serum, plasma, and whole blood, avoiding the need for tumor tissue biopsies. Here we summarize microfluidic technological advances that are used in cancer diagnosis, prognosis, and to monitor its progression and recurrence, that will likely lead to personalized therapies. In some cases, integrated microfluidic technologies, coupled with biosensors, are proving to be more sensitive and precise in the detection of cancer biomarkers than conventional assays. Based on the current state-of-the-art and the rapid progress over the past decade, we also briefly discuss the next evolutionary steps that these technologies are likely to take.

During vertebrate embryogenesis, the rhythmic and sequential segmentation of the body axis is regulated by an oscillating genetic network termed the segmentation clock. We describe a new dynamic model for the core pace-making circuit of the zebrafish segmentation clock based on a systematic biochemical investigation of the network's topology and precise measurements of somitogenesis dynamics in novel genetic mutants. We show that the core pace-making circuit consists of two distinct negative feedback loops, one with Her1 homodimers and the other with Her7:Hes6 heterodimers, operating in parallel. To explain the observed single and double mutant phenotypes of her1, her7, and hes6 mutant embryos in our dynamic model, we postulate that the availability and effective stability of the dimers with DNA binding activity is controlled in a "dimer cloud" that contains all possible dimeric combinations between the three factors. This feature of our model predicts that Hes6 protein levels should oscillate despite constant hes6 mRNA production, which we confirm experimentally using novel Hes6 antibodies. The control of the circuit's dynamics by a population of dimers with and without DNA binding activity is a new principle for the segmentation clock and may be relevant to other biological clocks and transcriptional regulatory networks. © 2012 Schröter et al. Fil: Schroter, Christian. University of Cambridge; Estados Unidos Fil: Ares, Saúl. Max Planck Institute For The Physics Of Complex Systems; Alemania Fil: Morelli, Luis Guillermo. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina Fil: Isakova, Alina. Ecole Polytechnique Federale de Lausanne; Francia Fil: Hens, Korneel. Ecole Polytechnique Federale de Lausanne; Francia Fil: Soroldoni, Daniele. Max Planck Institute Of Molecular Cell Biology And Genetics; Alemania Fil: Gajewski, Martin. Universitat zu Köln; Alemania Fil: Jülicher, Frank. Max Planck Institute For The Physics Of Complex Systems; Alemania Fil: Maerkl, Sebastian J.. Ecole Polytechnique Federale de Lausanne; Francia Fil: Deplancke, Bart. Ecole Polytechnique Federale de Lausanne; Francia Fil: Oates, Andrew C.. Max Planck Institute Of Molecular Cell Biology And Genetics; Alemania