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Dr J P de Magalhaes
Applications accepted all year round
About the Project
Ageing of the immune system is a major contributor to health problems in the elderly. This project aims to perform analyses and develop models of the ageing immune system that advance our knowledge regarding immunosenescence and factors, including genetic factors, contributing to it. We are looking for an enthusiastic and ambitious student to analyse clinical, immunological and genetic data from an elderly population and identify which factors play an role in lifespan and healthspan as well as identify candidate biomarkers of immunological ageing. Publicly available data will also be used to construct models that explain age-related conditions. The exact direction of this project, however, will be adapted to fit the research interests of the student.
This is a collaborative 4-year project between Dr Joao Pedro de Magalhães at the University of Liverpool in the UK and Dr Anis Larbi at A*STAR in Singapore. The PhD student will be expected to work roughly half the time of the project in Liverpool and half the time in Singapore.
Further details about the research of Dr de Magalhães on the biology and genetics of ageing are available at:
http://pcwww.liv.ac.uk/~aging/
Potential applicants are encouraged to contact Dr de Magalhaes in the first instance for an informal discussion.
Training associated with this project:
This project will provide a rich and diverse training in immunology, genetics, bioinformatics, statistics and biogerontology. In addition to the generic skills training that is provided through the Institute and University PhD programme, the student will be supported by an excellent infrastructure and will work closely with experts on the biology and genetics of ageing, systems biology and genomics. This diverse and stimulating environment will allow a creative and talented student to develop key skills and the project is flexible enough to allow the student to develop his or her own research interests. The student will be well-prepared for a successful career in research and in biotechnology.
This is a collaborative 4-year project between Dr Joao Pedro de Magalhães at the University of Liverpool in the UK and Dr Anis Larbi at A*STAR in Singapore. The PhD student will be expected to work roughly half the time of the project in Liverpool and half the time in Singapore.
Further details about the research of Dr de Magalhães on the biology and genetics of ageing are available at:
http://pcwww.liv.ac.uk/~aging/
Potential applicants are encouraged to contact Dr de Magalhaes in the first instance for an informal discussion.
Training associated with this project:
This project will provide a rich and diverse training in immunology, genetics, bioinformatics, statistics and biogerontology. In addition to the generic skills training that is provided through the Institute and University PhD programme, the student will be supported by an excellent infrastructure and will work closely with experts on the biology and genetics of ageing, systems biology and genomics. This diverse and stimulating environment will allow a creative and talented student to develop key skills and the project is flexible enough to allow the student to develop his or her own research interests. The student will be well-prepared for a successful career in research and in biotechnology.
References
Tacutu R et al. (2013) “Human Ageing Genomic Resources: Integrated databases and tools for the biology and genetics of ageing.” Nucleic Acids Research 41:D1027–D1033.
Wuttke D et al. (2012) “Dissecting the gene network of dietary restriction to identify evolutionarily conserved pathways and new functional genes.” PLoS Genetics 8:e1002834.
van Dam S et al. (2012) “GeneFriends: An online co-expression analysis tool to identify novel gene targets for aging and complex diseases.” BMC Genomics 13:535.
Freitas A et al. (2011) “A data mining approach for classifying DNA repair genes into ageing-related or non-ageing-related.” BMC Genomics 12:27.
Wuttke D et al. (2012) “Dissecting the gene network of dietary restriction to identify evolutionarily conserved pathways and new functional genes.” PLoS Genetics 8:e1002834.
van Dam S et al. (2012) “GeneFriends: An online co-expression analysis tool to identify novel gene targets for aging and complex diseases.” BMC Genomics 13:535.
Freitas A et al. (2011) “A data mining approach for classifying DNA repair genes into ageing-related or non-ageing-related.” BMC Genomics 12:27.
Project supervisors
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