EXPLORING MOLECULAR LINKS IN BRAIN TUMOUR BIOPSY TISSUES AND ALZHEIMER’S DISEASE

Abstract

AIMS Generate and identify putative targets in the SORL1-network by mining online databases. Analyse 21 FFPE human brain tumour biopsy tissues through transcriptome sequencing performed by CeGaT (Tübingen, Germany) to explore differentially expressed genes. These biopsy samples are from consenting patients in association with Brain Tumour North West (BTNW) and the Royal Preston Hospital. METHOD Group comparisons are performed with the control and cancerous sample groups (low-grade glioma staying low, low-grade glioma becoming high and high-grade staying high). Further analysis involves comparing section and resection from the same patient for each cancer tissue group. Samples are explored on four different bioinformatic levels and sequenced on the Illumina platform. In Level 1 the data is demultiplexed and trimmed and in Level 2 trimmed reads are additionally mapped. Level 3 provides insights into the cell’s metabolic state and Level 4 performs several group comparisons. RESULTS Gain insights into differentially expressed genes’ presence in biopsy tissues from different stages of brain cancer, expression levels and links to clinical characteristics. Bioinformatic analysis provides data on quality control of the starting material, library preparation, sequencing parameters, and the Q30 value of the sequencing. CONCLUSION The analysis demonstrates molecular links in the SORL1-network in tissue from section and resection from a patient cohort to better understand disease recurrent and progression. Prospective bioinformatic work would explore interactions between significant targets identified to create a curated network that could predict druggable targets in gliomas.