BrainMap

Mr. Ioan Valentin Matei

M.D., Ph.D.

Postdoctoral Research Assistant - Edge Hill University

Other affiliations

Co-founder and Senior Scientist - CELLFABRIK S.R.L. (Romania)

Researcher | Entrepreneur

Publons/ResearcherID: https://publons.com/researcher/3684481/ioan-valentin-matei/

Expertise & keywords

Automated Nematode Screening for Neurodegenerative Diseases Call name: P 2 - SP 2.1 - Proiect experimental - demonstrativ
PN-III-P2-2.1-PED-2019-2593 2020 - 2022

Role in this project:

Coordinating institution: INSTITUTUL DE BIOCHIMIE

Project partners: INSTITUTUL DE BIOCHIMIE (RO)

Affiliation: INSTITUTUL DE BIOCHIMIE (RO)

Project website: https://www.biochim.ro/grant-27-ans-nd/

Abstract:

Ageing is the major risk factor for neurodegenerative diseases, including Alzheimer's and Parkinson's diseases. The graying of the population has been accompanied by a continual increase in the prevalence of neurodegeneration amongst the elderly and is now one of the greatest challenges that healthcare and research has to tackle. In this project, we propose to experimentally develop an integrated and automated solution for screening drugs and genetic interventions for neurodegenerative diseases, using the nematode C. elegans and ageing-related data. The system will include: 1) a network-based, integrative and predictive bioinformatics method for short-listing genetic targets of interest, and 2) a low-cost, modular, automated video-recording platform for healthspan screening in worms. Additionally, we also propose the implementation of a gene activation system that would complement the existing genetic tools for investigating gene function and drug screening in worms, by creating a CRISPR-based overexpression system with the flexibility of RNA interference approaches. Lastly, we propose to validate the developed system by monitoring predicted interventions, both using the automated platform and by traditional lab methods.

Bioeconomic approach to antimicrobial agents - use and resistance Call name: P 1 - SP 1.2 - Proiecte complexe realizate in consorții CDI
PN-III-P1-1.2-PCCDI-2017-0361 2018 - 2021

Role in this project:

Coordinating institution: UNIVERSITATEA DE STIINTE AGRICOLE SI MEDICINA VETERINARA A BANATULUI "REGELE MIHAI I AL ROMANIEI" DIN TIMISOARA

Project partners: UNIVERSITATEA DE STIINTE AGRICOLE SI MEDICINA VETERINARA A BANATULUI "REGELE MIHAI I AL ROMANIEI" DIN TIMISOARA (RO); SPITALUL CLINIC JUDETEAN DE URGENTATIMISOARA (RO); UNIVERSITATEA DE VEST TIMISOARA (RO); UNIVERSITATEA BABES BOLYAI (RO); INSTITUTUL DE CERCETARE - DEZVOLTARE PENTRU PAJISTI (I.C.D.P.) (RO)

Affiliation: SPITALUL CLINIC JUDETEAN DE URGENTATIMISOARA (RO)

Project website: http://clchc.usab-tm.ro/bioamr/proiect.html , https://clchc.usab-tm.ro/bioamr/proiect_en.html

Abstract:

Present project advances a bio-economic approach, that is inter-institutional (implying one coordinator plus five partners) and systemic, of AMR (antimicrobial resistance) in terms of i) economic efficiency ii) sustainability in the environment, and iii) societal acceptance of the structured grid covering man – domestic/ wild animals and pets – food/fodder – environment (water/soil).

Project scope covers a bio-economic survey of consumption/usage of antimicrobial products (i.e. longitudinal inquiry regarding consumption/usage of antimicrobial products), as well as resistance of microorganisms (such as coli and Staphylococcus aureus) to antimicrobial products (by inquiries/studies and cross-sector approaches of the four trophic subsystems (water/soil – food/fodder – animals (wild/farm and pets) – man. Integrated survey of the polyvalent systems grid will be analyzed by an informatics-statistics-mathematics approach, so that the red HUB’s (critical subgrids/nodes) can be identified. Actually, each subsystem strives full-might to be economically efficient (healthy crops, fast cheap diagnosis methods for real-time intervention, and such like) and resilient (resilience to infections of animals and of man, but also multiplication and AMR developed by the microbs).

It is our hypothesis that mapping out and societal acceptance of accurate intervention points (each subsystem’s studies cutoffs) geared in the HUB’s grid, will allow for management and efficient survey of consumption/ AMR. Beyond the inter-institutional co-operation, licenses, studies, reports and data bases supplied to society, multidisciplinary study of AMR will permit signalling out the red HUB’s to be used for societal welfare, such HUB’s now supporting a complex system as fighting resistance to antimicrobial products

Chimeric Antigen Receptor Targeted Oncoimmunotherapy with Natural Killer cells Call name:
P_37_786, SMIS code 103662 2016 - 2020

Role in this project: Key expert

Coordinating institution: SPITALUL CLINIC JUDETEAN DE URGENTATIMISOARA

Project partners: SPITALUL CLINIC JUDETEAN DE URGENTATIMISOARA (RO)

Affiliation: SPITALUL CLINIC JUDETEAN DE URGENTATIMISOARA (RO)

Project website: https://carnk.oncogen.ro/

Abstract:

Multi-omics prediction system for prioritization of gerontological interventions Call name:
POC-A1-A1.1.4-E-2015 2016 - 2020

Role in this project: Key expert

Coordinating institution: INSTITUTUL DE BIOCHIMIE

Project partners: INSTITUTUL DE BIOCHIMIE ()

Affiliation: INSTITUTUL DE BIOCHIMIE ()

Project website: http://www.aging-research.group/gerontomics/

Abstract:

Organismal ageing is a biological process defined by a progressive loss of viability and an exponential increase in fragility. With the current advances in high-throughput technologies many of the molecular aspects of ageing can now be easily screened at various “omics” levels (e.g.: genomic, transcriptomic, epigenomic, etc), using a wide range of models and starting from various hypotheses (e.g.: analysis of “normal” ageing, long- and short-lived mutants, calorically restricted animals, etc). However, with relation to integration, the field of biogerontology, as it currently stands, is still missing a cohesive approach and is lacking an integrative view on how to combine all these molecular measurements. This project will use a systems biology approach to combine genomics, transcriptomics and epigenomics data from various models of ageing in order to create a large-scale data-driven analysis and prediction platform for experimental interventions in gerontology. Using this platform, we first aim to analyze the multidimensional data in a holistic way, using network-based methods, in order to identify conserved and/or specific signatures of ageing. These common and complementary patterns will provide more insights into the mechanisms of ageing and offer the scientific community a data-generated knowledge base of the molecular actors (and their interactions), which play a role in lifespan determination. Next, we aim to test the performance of this computational platform in identifying new longevity regulators by validating its predictive power, first against a priori published results and then, in vivo, by testing lifespan and healthspan of C. elegans mutants under epistatic interventions. Lastly, we aim to build around the software platform and the generated knowledge base a web framework that allows users to access, analyze and build upon the data, in an efficient, easy-to-use manner, providing the scientific community with a suite of tools for guiding wet-lab experiments in gerontology.

Reprogramming Adult Human Liver Cells Toward Insulin Producing Beta Cells as a Treatment for Diabetes Call name:
POC 2015: P_37_794 POC-A1-A1.1.4-E2015. 2016 - 2020

Role in this project: Key expert

Coordinating institution: UNIVERSITATEA "TITU MAIORESCU"

Project partners: UNIVERSITATEA "TITU MAIORESCU" ()

Affiliation: UNIVERSITATEA "TITU MAIORESCU" ()

Project website:

Abstract:

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