Compartmentalization - A Prerequisite for Maintaining and Changing an Identity

The chemical manipulation of DNA is much more convenient than the manipulation of the bioproducts, such as enzymes, that it encodes. The optimization of bioproducts requires cycles of diversification of DNA followed by read-out of the information into the bioproduct. Maintaining the link between the information - the genotype - and the properties of the bioproduct - the phenotype - through some form of compartmentalization is therefore an essential aspect in directed evolution. While the ideal compartment is a biological cell, many projects involving more radical changes in the bioproduct, such as the introduction of novel cofactors, may not be suitable for expression of the information in cells, and alternative in vitro methods have to be applied. Consequently, the possibility to produce simple and advanced micro compartments at high rates and to combine them with the ability to translate the information into proteins represents a unique opportunity to explore demanding enzyme engineering projects that require the evaluation of at least hundreds of thousands of enzyme variants over multiple generations

Myc and cell cycle control

Soon after the discovery of the Myc gene (c-Myc), it became clear thatMyc expression levels tightly correlate to cell proliferation. The entry in cell cycle of quiescent cells upon Myc enforced expression has been described in manymodels. Also, the downregulation or inactivation ofMyc results in the impairment of cell cycle progression. Given the frequent deregulation of Myc oncogene in human cancer it is important to dissect out the mechanisms underlying the role ofMyc on cell cycle control. Several parallel mechanisms account forMyc-mediated stimulation of the cell cycle. First,most of the critical positive cell cycle regulators are encoded by genes induced byMyc. These Myc target genes include Cdks, cyclins and E2F transcription factors. Apart from its direct effects on the transcription, Myc is able to hyperactivate cyclin/Cdk complexes through the induction of Cdk activating kinase (CAK) and Cdc25 phosphatases. Moreover, Myc antagonizes the activity of cell cycle inhibitors as p21 and p27 through different mechanisms. Thus, Myc is able to block p21 transcription or to induce Skp2, a protein involved in p27 degradation. Finally, Myc induces DNA replication by binding to replication origins and by upregulating genes encoding proteins required for replication initiation. Myc also regulates genes involved in the mitotic control. A promising approach to treat tumors with deregulated Myc is the synthetic lethality based on the inhibition of Cdks. Thus, the knowledge of the Myc-dependent cell cycle regulatory mechanisms will help to discover new therapeutic approaches directed against malignancies with deregulated Myc. This article is part of a Special Issue entitled: Myc proteins in cell biology and pathology.The work in the laboratory of the authors is funded by grants SAF11-23796 from Spanish Ministry of Industry and Innovation, and ISCIII-RETIC RD12/0036/0033 from Spanish Ministry of Health to JL, and FIS 11/00397 to MDD. GB is recipient of a fellowship form the FPI Program. We apologize to colleagues whose work has not been cited in the form of their original papers but in reviews and whose work has not been discussed due to space limitations or unintentional omission

UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs

We present an approach to quantifying both aleatoric and epistemic uncertainty for deep neural networks in image classification, based on generative adversarial networks (GANs). While most works in the literature that use GANs to generate out-of-distribution (OoD) examples only focus on the evaluation of OoD detection, we present a GAN based approach to learn a classifier that produces proper uncertainties for OoD examples as well as for false positives (FPs). Instead of shielding the entire in-distribution data with GAN generated OoD examples which is state-of-the-art, we shield each class separately with out-of-class examples generated by a conditional GAN and complement this with a one-vs-all image classifier. In our experiments, in particular on CIFAR10 and CIFAR100, we improve over the OoD detection and FP detection performance of state-of-the-art GAN-training based classifiers. Furthermore, we also find that the generated GAN examples do not significantly affect the calibration error of our classifier and result in a significant gain in model accuracy

A multiplexed cell-free assay to screen for antimicrobial peptides in double emulsion droplets

The global surge in bacterial resistance against traditional antibiotics triggered intensive research for novel compounds, with antimicrobial peptides (AMPs) identified as a promising candidate. Automated methods to systematically generate and screen AMPs according to their membrane preference, however, are still lacking. We introduce a novel microfluidic system for the simultaneous cell-free production and screening of AMPs for their membrane specificity. On our device, AMPs are cell-free produced within water-in-oil-in-water double emulsion droplets, generated at high frequency. Within each droplet, the peptides can interact with different classes of co-encapsulated liposomes, generating a membrane-specific fluorescent signal. The double emulsions can be incubated and observed in a hydrodynamic trapping array or analysed via flow cytometry. Our approach provides a valuable tool for the discovery and development of membrane-active antimicrobials

A Multiplexed Cell‐Free Assay to Screen for Antimicrobial Peptides in Double Emulsion Droplets

The global surge in bacterial resistance against traditional antibiotics triggered intensive research for novel compounds, with antimicrobial peptides (AMPs) identified as a promising candidate. Automated methods to systematically generate and screen AMPs according to their membrane preference, however, are still lacking. We introduce a novel microfluidic system for the simultaneous cellfree production and screening of AMPs for their membrane specificity. On our device, AMPs are cell-free produced within water-in-oil-inwater double emulsion droplets, generated at high frequency. Within each droplet, the peptides can interact with different classes of coencapsulated liposomes, generating a membrane-specific fluorescent signal. The double emulsions can be incubated and observed in a hydrodynamic trapping array or analyzed via flow cytometry. Our approach provides a valuable tool for the discovery and development of membrane-active antimicrobials.ISSN:1433-7851ISSN:1521-3773ISSN:0570-083