Objectives

Rapid advancements in high-throughput technologies and tools in big data processing have led to novel insights into gene expression at the translation level, casting new light on various aspects of this biological process, including its molecular characterization in numerous pathological states, with prominent examples in cancer development. TRANSLACORE gathers and interconnects European experts from different disciplines with common interests on translational control of gene expression in cancer.

The purpose of the network is to increase our understanding of translational control and to identify new opportunities and ensemble actions towards innovative strategies to improve the diagnosis, prognosis and treatment of cancer patients. An interdisciplinary and trans-sectoral framework will allow much-needed collaborations between academia, clinics and industry, by resource-pooling and knowledge sharing, in order to achieve one of TRANSLACORE main aims: to address the major biological questions emerging in cancer biology through development of the translational control field. TRANSLACORE supports unified European research on translational control in cancer through all identified stakeholders.

TRANSLACORE aims to progress beyond the state-of-the-art by building a strong and dynamic consortium dedicated to the transfer of basic scientific findings in the growing field of protein synthesis into medical applications. To fulfil this purpose, the following objectives are our focus:

• Promoting multiple cross-disciplinary research partnerships,
• Promoting access to state-of-the-art technologies and harmonization experimental procedures,
• Closing the gap between basic research and clinical applications,
• Educating the current and next generation of scientists,
• Facilitating access to EU funding.

The network consists of five working groups focused on overlapping topics:

1. Scientific and technological developments and harmonization procedures.
2. Clinical samples/patient cohort coordination and ethics.
3. Bioinformatics and big data management.
4. Dissemination, sharing of knowledge and know-how, to the wider society.
5. Education.