Dragon09/odtu_chatbot huggingface dataset:
responsible prediction of gene expression mitigating genetic risk profiling

environmental factors are crucial to physical and mental healththey impact even the expression of our dna the study of epigenetics provides better understanding of geneenvironment interaction environmental influence can come from outside and inside the organism but one environmental factor that is typically overlooked is peoples knowledge production and beliefs predicgenx responds to the scientific worry that predictions about genes are likely to be reflexive ie they impact the eventual outcome scholars have raised concerns that beliefs about genetic information affects genetic risk to match that informationa socalled selffulfilling prophecy not unlike the placebo and nocebo effects studies showed that receiving ones genetic risk profile can change physiology independent of actual genetic risk moreover the current trend to focus on risk biomarkers and early diagnostics produces knowledge which is inevitably based on undetermined information given that gene expression is not fixed asserting genetic information as determined when the assertion itself has potential impact on genetic expression is especially alarming considering the popularity of directtoconsumer genetic testing and precision medicine understanding the direct impact of genetic predictions on geneexpression its vulnerability to feedback loops and their moral implications is crucial urgent yet currently lacking with this project i aim to fill that knowledge gap through qualitative fieldwork and philosophical analysis i will theorise the different ways in which reflexive epigenetic prediction manifests andwhile detailing a descriptive account of the different modelsoffer an analysis of the epistemic and ethical implications of their reflexivity on research and practice and the meaning for therapeutic intervention
tunning the force for remote magnetomechanical gating of piezo1 channels

during the last decade the possibility to remotely control intracellular pathways using physical tools has opened the way to exciting applications both in basic research and clinical applications the use of magnetic fields in combination with magnetic nanoparticles provides with an exclusive tool to study how cells transform mechanical stimuli into biochemical signals shedding light on these mechanotransduction processes this tool is emerging as a new instrument to remotely manipulate biological functions with high spatiotemporal control at a deeptissue level a hot topic in regenerative medicine the overall aim of magpiez is to develop a novel platform to study mechanotransduction linked to piezo1 channels in endothelial cells by remotely manipulating magnetic nanoparticles a secondary goal is to validate the potential of this tool to stimulate signalling pathways related to cell proliferation in order to selectively boost angiogenesis this can stand as a promising approach for therapeutic angiogenesis in ischemic disorders this ambitious project will be validated using 2d endothelial cells and a 3d vascular network developed using a microfluidic chamber magpiez is a highly multidisciplinary project that takes advantage of the fellows dr del sol knowledge in materials science advanced synthesis and characterization of magnetic nanoparticles magnetism and physics and the expertise of the host group supervisor dr m moros institute of nanoscience and materials of aragon inmacsic in biofunctionalization of nanoparticles and magnetogenetics this project will offer the applicant the possibility to work in a top european institution who pioneered the use of nanomaterials for biomedical applications and to develop new skills and knowledge necessary for the progress of her scientific career towards an independent position
auxetic cementitious composites by 3d printing

concrete is inherently brittle this is a problem because important structures such as nuclear power plants need ductility to remain functional after earthquakes and impacts acc3d aims at creating novel ductile cementitious composites by using local reinforcement with an unusual quality negative poissons ratio known as auxetics currently steel rebars or fibers are used to make concrete ductile such reinforcement is only active once the concrete has cracked it prevents existing cracks from growing cracking might leave structures unfunctional or vulnerable to repeated events and aftershocks can we make reinforcement actively work with concrete already before cracking by making it auxetic this has never been attempted before emerging auxetics with complex architectures fabricated by 3d printing offer excellent energy absorption capacity however they have low stiffness which makes them unsuitable for structural applications i believe that using auxetics as reinforcement in cementitious composites will result in energy absorption at least 2 times higher than current approaches without impairing the stiffness through a preliminary study i discovered that auxetics can outperform conventional reinforcement in cementitious composites in terms of flexural strength and energy absorption however the mechanism of interaction between deformable auxetic reinforcement and the stiff cementitious matrix is unknown in acc3d i aim to fundamentally understand and fully exploit the potential of auxetic cementitious composites by combining design experiments and numerical modelling this will allow me to create innovative cementitious composites with high ductility and energy absorption capacity the approach developed in acc3d will open possibilities for development of designer construction materials allowing mechanical response of building materials to be tuned through purposefully adjusting their material architecture
social networks and natural selection in changing societies

social interactions can improve support resources and protection but can also increase disease stress and conflict consequently for groupliving species inc humans traits as diverse as personality residence patterns familyliving and disease resistance all evolve in response to pros and cons of sociality however the direct links between sociality health fitness outcomes and ultimately natural selection are not wellknown kinsocieties reveals for the first time the benefits and costs of sociality accrued by individuals and whole societies in two complementary study species humans and asian elephants facing current drastic changes in social structures due to breakdown of kin networks i use rare longitudinal data and two previously unstudied natural experiments to investigate effects of translocation to new social environments addressed in 6 wpshow have human social networks transformed with the modernisation of societies and associated with reproduction cause of death and lifespan at different timeshow does population structuring in humans affect reproduction cause of death and lifespanhow does population structuring in asian elephants affect reproduction cause of death and lifespanhow is translocation to new area withwithout kin or friends in humans related to subsequent integration social networks reproduction lifespan and cause of deathhow is translocation to new working units with or without kin friends or social group in asian elephants associated with stress health and friendship formationsynthesize the costs benefits of dynamic social structures in a modelling frameworkthis research boldly combines approaches from social sciences conservation evolutionary demography and biology the results have key theoretical and practical consequences making also critical contributions to public health by revealing concrete costs and benefits tied to social relationships and their changes in the rapidly changing world of today
sustainable highthroughput industryready nextgeneration technology for european manufacturing leadership in pv

shine pv will develop alternative technological routes to pv production for silicon heterojunction and topcon solar cells covering the three key steps in the backend manufacturing metallization postprocessing and interconnection shine pv will demonstrate different flows and downselect the most promising ones in terms of cost of ownership and high volume manufacturing readiness advanced equipment at trl7 with industry 40 dedicated features innovative materials and solutions will be developedfor the metallization shine pv will introduce parallel dispensing and plating as high volume manufacturing hvm alternative processes to incumbent screen printing with the objective of demonstrating the complete or partial replacement of ag with cu a fundamental step to enable terawatt scale production levelsmoreover shine pv will increase the efficiency through cell postprocessing by applying light soaking process in hvm and recover the cuttinginduced losses by edge repassivation for the module making step the innovations in interconnection proposed are twill and shingling processes and hvm equipment both will leverage on the optimization of the metallization and postprocessing steps and will demonstrate their potential in terms of superior electrical properties aesthetics reliability and compatibility with premium module designsthe expectation of the project is to enable an increase of solar cell or module efficiency of 05 absolute versus the reference process with a simultaneous coo reduction of 20 due to reduced material costs and increased equipment productivityshine pv project will demonstrate the integrated innovative processes and novel equipment both virtually and within physical pilots at industrial partners at trl7 to our knowledge for all these technologies no production equipment is available for hvm worldwide and we envision a great potential for a pv supply chain revamping in eu
species and sex by proteome investigation

currently there is no broadly available strategy to perform largescale sex and species identification on morphologically noninformative bone and tooth specimens from paleontological palaeoanthropological and archaeological contexts sspin aims to the creation of a service platform to democratise species and sex identification from these materials by developing and deploying a new highresolution mass spectrometrybased approach sspin will dramatically increase throughput at all levels of the workflow ie sample preparation data acquisition and data analysis whilst simultaneously lowering the operators involvement automation will empower a service platform offering to the enduser access to the technology currently out of reach to all but a few specialised laboratories worldwide research projects that are simply unsustainable with the current solutions will move within reach on a global scale
navigating energy storage challenges profitability and net zero goals in europes energy transition

up to 3 trillion must be invested in largescale energy storage les to deal with the intermittency of renewable energy and achieve net zero by 2050 yet critical questions remain open 1 will this substantial investment in les cannibalise its own market 2 even if profitable does the selfinterest of private storage investors align with the public goal of achieving net zero if not what incentive schemes can be designed to address these two problems how will these problems evolve from now to 2050 across europe this research project will answer these questions first investigating i the selfcannibalisation ie how the increasing les deployment can reduce profitability in its own market ii the crosscannibalisation ie how the increasing renewable penetration will affect storage revenues and iii how the trajectory of these two aspects will evolve from present days until 2050 in europe then policy recommendations and an incentive scheme will be designed to support merchant investments in this context
decoding subcellular spatial biology with high precision using rna photocatalysts

rna is a fundamental component of life complex dynamic and spatial networks of molecular interactions between rnas and other biomolecules are essential for maintaining cellular homeostasis disruptions in the rna interactome have been linked to a number of human diseases implying that these molecular interactions could represent a new family of unexploited therapeutic targets despite the growing appreciation of the importance of rna discovery and characterization of rna interactions at the transcriptome level is lagging behind mainly due to the limitations of the existing methods including low precision low throughput low coverage biased analysis complicated protocols involving cumbersome biochemical fractionation or cellline engineering with the present technology many more years may pass before a comprehensive list of their functions localizations and interactions can be assembled considering the immense size and complexity of the human transcriptome and rna interactome this erc project aims to establish a simple versatile and lowcost technology basedon photocatalytic proximitylabeling and the birhobast aptamer for deciphering rnarna and rnaprotein interactions with high precision for any given rna at different resolutions ranging from singlemolecule to macromolecular complex level owing to its innovative design this technology will seamlessly integrate with advanced superresolution rna imaging techniques providing valuable insights into the intricate interaction networks of rna with high temporal and spatial resolution by applying this massively multiplexable technology to numerous biological settings and diseaserelated rnas we will expand our understanding of interactomes uncover new insights into subcellular rna structures and unravel fundamental molecular mechanisms of rna diseases leading to the discovery of novel functions for both rna and proteins and potentially unlocking new therapeutic targets
translating tudor domain splicing inhibitors for oncological applications

in our effort to characterize metabolic activities in the cells nucleus we discovered that the understudied tudor domain protein smndc1 controls the repression of insulin in pancreatic alpha cells through its role as a splicing modulator based on this finding we developed the first selective smndc1 tudor domain inhibitors for which we observe interesting preliminary data on insulin induction in primary human pancreatic islets however as a panessential gene expressed in most tissues smndc1 is not an ideal therapeutic target in diabetes where exceptionally high safety margins are requiredinterestingly independent findings published in a preprint established a role for smndc1 in cancer these data show that smndc1 controls splicing of the erk1 exon that bears the phosphorylation signal mediating rasrafmekerk signaling a significant fraction of ovarian and pancreatic carcinomas harbor smndc1 amplifications and cells derived from these tumors depend on smndc1 both in vitro and in xenograft models we here propose to evaluate the potential of our smndc1 inhibitors for cancer therapy experimentally we will test these compounds in the erk1 splicing dependent models in collaboration with the groups that described these findings and we will profile their antiproliferative effects against a panel of 900 cancer cell lines in parallel we will conduct detailed analysis on the chemical scaffolds we discovered and develop a medicinal chemistry proposal to expand the scope of the filed patent application additionally we will commission analyses for an optimal translation pathway of these compounds to the clinic aiming an ideal positioning for certain cancer subtypes based on market size competitive situation clinical needs and trial design opportunitiesfinally we will develop a plan for the further translation of our discoveries ideally by foundation of a new spinoff company following successful completion of the oncosplice project
clinical validation of an antibioticresistant bacteria global vaccine platform through the first vaccine against klebsiella pneumoniae

vaxdyn a spanish biotech startup is leading innovation with a novel vaccine platform targeting antimicrobialresistant amr infections a critical global health threat with projections indicating a potential cost of usd 100 trillion and over 10 million deaths by 2050 due to amr vaxdyns work is of paramount importance their patented technology focuses on the most dangerous amr bacteria developing vaccines for four out of the six most urgent bacterial pathogens which are responsible for 73 of amrrelated deaths worldwidevaxdyns vaccine platform stands out for its utilization of full outermembrane protein bacterial antigens with a safe carrier cell to stimulate immunity this unique strategy has earned approval from european regulators and prestigious backers such as the carbx accelerator funded by entities including the bill and melinda gates foundation and the wellcome trustthe companys lead vaccine kvax targets klebsiella pneumoniae the third leading cause of amr deaths claiming 700000 lives annually there are no current vaccines against this pathogen which has a mortality rate exceeding 50 vaxdyns kvax aims to serve both the global elderly population and prevent neonatal sepsis in lowand middleincome countries addressing a potential 6 billion market by 2035vaxdyn is advancing kvax through phase 1a trials supported by carbx and private investors the next steps involve phase 1b and phase 2 trials to determine the final formulation and efficacy for which eic funds are crucial posttrials vaxdyn plans to license kvax continuing the development of its second vaccine pvax for pseudomonas aeruginosa infections in patients with chronic respiratory conditions this strategic move underscores vaxdyns commitment to addressing urgent health crises and leading in the amr vaccine domain
lifetime metabolomics for paediatric liver cancer detection and therapy assessment using organonchip platforms

understanding cancer metabolism at the individual patient level is central to making accurate earlystage diagnoses and providing effective patientspecific treatments while some methods do exist to study intracell metabolomics and intercell metabolic flux alterations eg pet mri their scalability and sensitivity is limited hindering reliable investigations longtermlifetime aims to develop a single platform for lifetime metabolomics where the metabolic fingerprint of a disease is traced throughout patient onset in vivo analysis ex vivo and through to treatment technologically this involves rapid metabolomic profiling of the cancer model using microfluidic 3dcellcultures in organonchip ooc structures and magnetic resonance spectroscopic imaging mrsi scientifically the diseasespecific case study chosen is hepatoblastoma hb the most common liver cancer in children where the platform could improve patient survival rate and quality of life metabolic contrast in three phenotypes of hb mouse models intrahepatic intravenous subcutaneous and their ooc counterparts will be assesseda unique benefit of the platform will be its capability for parallel repeatable measurements on samples to track therapeuticinduced metabolic alterations over time this will unveil tumours detailed molecular phenotypes and shed light on their correlation with tumour heterogeneity and interactions within tumour microenvironment overall lifetime will enable the definition of new reliable biomarkers of hb that propel the development of targeted therapies if successful the scalability of the platform will hold the important ability to bridge in vivo and in vitro assessment from biopsyderived cell cultures parallelised screening to patients correlating with current clinical mrsi long term lifetime will empower assessment of the benefits and constraints of ooc technology in cancer and other aggressive disease research
next generation modelling of terrestrial carbon cycle by assimilation of insitu campaigns and earth observations

the ability to evaluate eus climate and sustainability targets is currently limited by challenges in monitoring ecosystem greenhouse gas ghg exchanges and other services in an accurate and timely manner important knowledge gaps concerning processes and drivers of ghg exchanges persist that further hamper our predictive capabilities the absence of coherent approaches to collect interpret and integrate data on terrestrial ghg stocks and processes into predictive models limits the eus ability to monitor ecosystem services and thus to reach its climate ambitions including the paris agreement of climate convention and european green dealnextgencarbon aims to develop a novel framework for advancing our understanding of the european ghg budget to reach this goal we will 1 improve and enrich existing measurements on ecosystems 2 assimilate these data into stateoftheart modelling frameworks 3 create seamless scenario prediction systems and 4 provide guidance to policymakers on the magnitude evolution of and future risks to ghg fluxes our exceptional multidisciplinary consortium links leading experts developing the next generation of ground and eodriven observations with several groups at the cutting edge of carbon cycle and land surface modelling plus teams pushing the boundaries of data assimilation complex system modelling forest management and disturbance monitoring landuse and ghg inventories and communications it also involves active engagement with diverse stakeholders including landowners and managers ghg exchange modelling community international community related to environmental monitoring climate policy support and ghg inventory experts and policymakers in doing so nextgencarbon will pave the way for highaccuracy and seamless estimates of national to continental and global ghg budgets from the recent past into the coming decades making a vital contribution to eus climate mitigation strategies
stabilizing crop yield under unfavourable conditions by molecular primeing

modern agriculture is expected to provide everincreasing amounts of food and feed under uncertain climate scenarios and significant pressure from consumers and regulators for environmentally friendly solutions to combat abiotic and biotic stress associated yield losses biostimulants that can improve crop productivity in a sustainable way offer a plausible alternative to the heavily criticized synthetic agrochemicals to achieve their full potential a sciencebased understanding of their beneficial effects and avenues for finetuning of their bioactivities are of utmost importance the proposed project will bring together expertise in plant systems biology chemical biology as well as biostimulant preparation and characterization to discover new and optimize existing biostimulants by tapping into innovative sources of natural compounds and integrative biology approaches for elucidating molecular mechanisms underlying stress priming a global network of leading plant scientists in abiotic and biotic stress signaling from europe africa and south america facilitated by an industrial partner specializing in biostimulants production and marketing will channel their efforts to bring sustainable solutions for crop protection to the farmer an extensive mobility program will facilitate optimal knowledgesharing within the network maximize the research outputs and ultimately lead to increasing the human capacity of the partners