Establishment of Biological Samples / Collections through Research Collaborations

IBG-BIOBANK is a comprehensive research platform that integrates biological samples and the associated data within a unified structure. Within the platform, fresh or frozen tissue, blood, serum, plasma, and PBMC samples, as well as nucleic acids and biomolecules derived from these biomaterials, are stored securely and in compliance with applicable standards.

All biological samples and associated data are protected and managed in accordance with ISO 20387:2018 biobank quality standards and within the framework of national and international data protection regulations, including the Turkish Personal Data Protection Law (Law No. 6698) and the EU General Data Protection Regulation (GDPR).

To support research particularly in the fields of metabolic and neurological rare diseases and cancer, IBG-BIOBANK establishes collaborations with diverse researchers and research projects. Within this scope, biological samples and/or associated data obtained from different cohorts—collected from participants who have voluntarily provided consent by completing the biobank informed consent form—may be processed and stored within IBG-BIOBANK.

These biomaterials, whose transfer, bioprocessing, and storage are performed in accordance with international quality standards, are utilized in high-impact research such as:Molecular characterization and classification of cancers of unknown primary origin and undiagnosed diseases

Development of effective treatment strategies tailored to patient- and disease-specific characteristics in rare diseases and cancer

• Targeted drug discovery and investigation of drug response and resistance mechanisms within the scope of personalized medicine approaches
• Biomarker discovery for immunotherapies, patient stratification, and monitoring of treatment response
• Identification and validation of novel diagnostic, prognostic, and predictive biomarkers
• Elucidation of disease mechanisms through omics-based analyses (genomics, transcriptomics, epigenomics, proteomics)
• Disease modeling studies (iPSC-based cellular models and functional analyses)
• Cohort studies aimed at monitoring treatment response and disease progression