ERC FUNDED PROJECTS

Amorphous and evolutionary DNA nanotechnology (AEDNA) explores novel conceptual directions and applications for DNA nanotechnology, which are based on intelligent, DNA-programmed soft hybrid materials, and the utilization of evolutionary principles for the optimization of nucleic acid nanocomponents. Amorphous DNA nanotechnology first aims at the creation of cell-sized, DNA-programmed microgels – DNA cells – with sensor, computation, communication, and actuator functions. Interacting DNA cells will be arranged into chemical cell consortia and artificial tissues using microfluidics, micromanipulation and 3D bioprinting techniques. Spatially distributed chemical circuits will then be utilized to establish collective behaviors such as quorum sensing, pattern formation, and self-differentiation within these consortia and tissues. The approach will be further scaled up to produce multicomponent DNA gel compositions that become active and differentiate upon mixing. In evolutionary nanotechnology, techniques derived from directed molecular evolution experiments will be applied to optimize the arrangement of functional nucleic acids on DNA and RNA nanoscaffolds. Compartmentalization and microfluidics will be utilized to screen for nucleic acid nanostructures capable of superstructure formation, and also for the development of ligand-sensitive components for molecular programming. An evolutionary approach will then be applied to amorphous DNA cells, resulting in DNA cell populations which contain individuals with different molecular identities. The proposal will pave the way for the creation of macroscopic materials with DNA-programmed intelligence, resulting in novel applications for DNA nanotechnology and molecular programming in diverse fields such as environmental and biological sensing, biocatalysis, smart adaptive materials, and soft robotics.

2 157 698 €

Start date: 2016-06-01, End date: 2021-05-31

The goals are 1. To develop a scale assessing the diversity of active ageing with four dimensions that are ability (what people can do), activity (what people do do), ambition (what are the valued activities that people want to do), and autonomy (how satisfied people are with the opportunity to do valued activities); 2. To examine health and physical and psychological functioning as the determinants and social and build environment, resilience and personal skills as modifiers of active ageing; 3. To develop a multicomponent sustainable intervention aiming to promote active ageing (methods: counselling, information technology, help from volunteers); 4. To test the feasibility and effectiveness on the intervention; and 5. To study cohort effects on the phenotypes on the pathway to active ageing. “If You Can Measure It, You Can Change It.” Active ageing assessment needs conceptual progress, which I propose to do. A quantifiable scale will be developed that captures the diversity of active ageing stemming from the WHO definition of active ageing as the process of optimizing opportunities for health and participation in the society for all people in line with their needs, goals and capacities as they age. I will collect cross-sectional data (N=1000, ages 75, 80 and 85 years) and model the pathway to active ageing with state-of-the art statistical methods. By doing this I will create novel knowledge on preconditions for active ageing. The collected cohort data will be compared to a pre-existing cohort data that was collected 25 years ago to obtain knowledge about changes over time in functioning of older people. A randomized controlled trial (N=200) will be conducted to assess the effectiveness of the envisioned intervention promoting active ageing through participation. The project will regenerate ageing research by launching a novel scale, by training young scientists, by creating new concepts and theory development and by producing evidence for active ageing promotion

2 044 364 €

Start date: 2016-09-01, End date: 2021-08-31

Living organisms have acquired new functionalities by uptake and integration of species to create symbiotic life-forms. This process of endosymbiosis has intrigued scientists over the years, albeit mostly from an evolution biology perspective. With the advance of chemical and synthetic biology, our ability to create molecular-life-like systems has increased tremendously, which enables us to build cell and organelle-like structures. However, these advances have not been taken to a level to study comprehensively if endosymbiosis can be applied to non-living systems or to integrate living with non-living matter. The aim of the research described in the ARTISYM proposal is to establish the field of artificial endosymbiosis. Two lines of research will be followed. First, we will incorporate artificial organelles in living cells to design hybrid cells with acquired functionality. This investigation is scientifically of great interest, as it will show us how to introduce novel compartmentalized pathways into living organisms. It also serves an important societal goal, as with these compartments dysfunctional cellular processes can be corrected. We will follow both a transient and a permanent approach. With the transient route biodegradable nanoreactors are introduced to supply living cells temporarily with novel function. Functionality is permanently introduced using genetic engineering to express protein-based nanoreactors in living cells, or via organelle transplantation of healthy mitochondria in diseased living cells. Secondly I aim to create artificial cells with the ability to perform endosymbiosis; the uptake and presence of artificial organelles in synthetic vesicles allows them to dynamically respond to their environment. Responses that are envisaged are shape changes, motility, and growth and division. Furthermore, the incorporation of natural organelles in liposomes provides biocatalytic cascades with the necessary cofactors to function in an artificial cell

2 500 000 €

Start date: 2017-01-01, End date: 2021-12-31

Infant is the most powerful learner: He learns in a few months to master language, complex social interactions, etc. Powerful statistical algorithms, simultaneously acting at the different levels of functional hierarchies have been proposed to explain learning. I propose here that two other elements are crucial. The first is the particular human cerebral architecture that constrains statistical computations. The second is the human’s ability to access a rich symbolic system. I have planned 6 work packages using the complementary information offered by non-invasive brain-imaging techniques (EEG, MRI and optical topography) to understand the neural bases of infant statistical computations and symbolic competence from 6 months of gestation up until the end of the first year of life. WP1 studies from which preterm age, statistical inferences can be demonstrated using hierarchical auditory oddball paradigms. WP2 investigates the consequences of a different pre-term environment (in-utero versus ex-utero) on the early statistical computations in the visual and auditory domains and their consequences on the ongoing brain activity along the first year of life. WP3 explores the neural bases of how infants infer word meaning and word category, and in particular the role of the left perisylvian areas and of their particular connectivity. WP4 questions infant symbolic competency. I propose several criteria (generalization, bidirectionality, use of algebraic rules and of logical operations) tested in successive experiments to clarify infant symbolic abilities during the first semester of life. WP5-6 are transversal to WP1-4: WP5 uses MRI to obtain accurate functional localization and maturational markers correlated with functional results. In WP6, we develop new tools to combine and analyse multimodal brain images. With this proposal, I hope to clarify the specificities of a neural functional architecture that are critical for human learning from the onset of cortical circuits.

2 554 924 €

Start date: 2016-09-01, End date: 2022-02-28