ERC FUNDED PROJECTS

The aim of the ALIGN project is to understand, predict, and optimize the photovoltaic energy conversion in third-generation solar cells, starting from an atomic-scale quantum-mechanical modelling of the photovoltaic interface. The quest for photovoltaic materials suitable for low-cost synthesis, large-area production, and functional architecture has driven substantial research efforts towards third-generation photovoltaic devices such as plastic solar cells, organic-inorganic cells, and photo-electrochemical cells. The physical and chemical processes involved in the harvesting of sunlight, the transport of electrical charge, and the build-up of the photo-voltage in these devices are fundamentally different from those encountered in traditional semiconductor heterojunction solar cells. A detailed atomic-scale quantum-mechanical description of such processes will lay down the basis for a rational approach to the modelling, optimization, and design of new photovoltaic materials. The short name of the proposal hints at one of the key materials parameters in the area of photovoltaic interfaces: the alignment of the quantum energy levels between the light-absorbing material and the electron acceptor. The level alignment drives the separation of the electron-hole pairs formed upon absorption of sunlight, and determines the open circuit voltage of the solar cell. The energy level alignment not only represents a key parameter for the design of photovoltaic devices, but also constitutes one of the grand challenges of modern computational materials science. Within this project we will develop and apply new ground-breaking computational methods to understand, predict, and optimize the energy level alignment and other design parameters of third-generation photovoltaic devices.

1 000 000 €

Start date: 2010-03-01, End date: 2016-02-29

Within a 12 month period, 20% of adults will meet criteria for one or more clinical anxiety disorders (ADs). These disorders are hugely disruptive, placing an emotional burden on individuals and their families. While both cognitive behavioural therapy and pharmacological treatment are widely viewed as effective strategies for managing ADs, systematic review of the literature reveals that only 30–45% of patients demonstrate a marked response to treatment (anxiety levels being reduced into the nonaffected range). In addition, a significant proportion of initial responders relapse after treatment is discontinued. There is hence a real and marked need to improve upon current approaches to AD treatment. One possible avenue for improving response rates is through optimizing initial treatment selection. Specifically, it is possible that certain individuals might respond better to cognitive interventions while others might respond better to pharmacological treatment. Recently it has been suggested that there may be two or more distinct biological pathways disrupted in anxiety. If this is the case, then specification of these pathways may be an important step in predicting which individuals are likely to respond to which treatment. Few studies have focused upon this issue and, in particular, upon identifying neural markers that might predict response to cognitive (as opposed to pharmacological) intervention. The proposed research aims to address this. Specifically, it tests the hypothesis that there are at least two mechanisms disrupted in ADs, one entailing amygdala hyper-responsivity to cues that signal threat, the other impoverished recruitment of frontal regions that support cognitive and emotional regulation. Two series of functional magnetic resonance imaging experiments will be conducted. These will investigate differences in amygdala and frontal function during (a) attentional processing and (b) fear conditioning. Initial clinical experiments will investigate whether Generalised Anxiety Disorder and Specific Phobia involve differing degrees of disruption to frontal versus amygdala function during these tasks. This work will feed into training studies, the goal being to characterize AD patient subgroups that benefit from cognitive training.

1 708 407 €

Start date: 2011-04-01, End date: 2016-08-31

Long-term studies of free-living vertebrate populations have proved a rich resource for understanding evolutionary and ecological processes, because individuals’ life histories can be measured by tracking them from birth/hatching through to death. In recent years the ‘animal model’ has been applied to pedigreed long-term study populations with great success, dramatically advancing our understanding of quantitative genetic parameters such as heritabilities, genetic correlations and plasticities of traits that are relevant to microevolutionary responses to environmental change. Unfortunately, quantitative genetic approaches have one major drawback – they cannot identify the actual genes responsible for genetic variation. Therefore, it is impossible to link evolutionary responses to a changing environment to molecular genetic variation, making our picture of the process incomplete. Many of the best long-term studies have been conducted in passerine birds. Unfortunately genomics resources are only available for two model avian species, and are absent for bird species that are studied in the wild. I will fill this gap by exploiting recent advances in genomics technology to sequence the entire transcriptome of the longest running study of wild birds – the great tit population in Wytham Woods, Oxford. Having identified most of the sequence variation in the great tit transcriptome, I will then genotype all birds for whom phenotype records and blood samples are available This will be, by far, the largest phenotype-genotype dataset of any free-living vertebrate population. I will then use gene mapping techniques to identify genes and genomic regions responsible for variation in a number of key traits such as lifetime recruitment, clutch size and breeding/laying date. This will result in a greater understanding, at the molecular level, how microevolutionary change can arise (or be constrained).

1 560 770 €

Start date: 2008-10-01, End date: 2014-06-30

Most of the lymphomas diagnosed in the western world are originated from mature B cells. The hallmark of these malignancies is the presence of recurrent chromosome translocations that usually involve the immunoglobulin loci and a proto-oncogene. As a result of the translocation event the proto-oncogene becomes deregulated under the influence of immunoglobulin cis sequences thus playing an important role in the etiology of the disease. Upon antigen encounter mature B cells engage in the germinal center reaction, a complex differentiation program of critical importance to the development of the secondary immune response. The germinal center reaction entails the somatic remodelling of immunoglobulin genes by the somatic hypermutation and class switch recombination reactions, both of which are triggered by Activation Induced Deaminase (AID). We have previously shown that AID also initiates lymphoma-associated c-myc/IgH chromosome translocations. In addition, the germinal center reaction involves a fine-tuned balance between intense B cell proliferation and program cell death. This environment seems to render B cells particularly vulnerable to malignant transformation. We aim at studying the molecular events responsible for B cell susceptibility to lymphomagenesis from two perspectives. First, we will address the role of AID in the generation of lymphomagenic lesions in the context of AID specificity and transcriptional activation. Second, we will approach the regulatory function of microRNAs of AID-dependent, germinal center events. The proposal aims at the molecular understanding of a process that lies in the interface of immune regulation and oncogenic transformation and therefore the results will have profound implications both to basic and clinical understanding of lymphomagenesis.

1 596 000 €

Start date: 2008-12-01, End date: 2014-11-30