Bioinformatics for cancer research

In cancer research, Next-Generation Sequencing (NGS) provides unprecedented insights into the genomic complexity of cancer. NGS enables the comprehensive profiling of cancer genomes, allowing researchers to identify somatic mutations, copy number variations, and structural alterations with high precision. This genomic information is instrumental in deciphering tumour genetic heterogeneity, unveiling key drivers of oncogenesis, and identifying potential therapeutic targets. NGS not only accelerates the discovery of novel cancer-associated genes but also facilitates the understanding of clonal evolution, aiding in the development of personalised treatment strategies tailored to the unique genomic makeup of individual patients.

The application of NGS in cancer research extends beyond characterising genomic alterations. Transcriptomic analysis through RNA-Seq provides a deeper understanding of gene expression patterns, alternative splicing events, and fusion transcripts, offering valuable insights into the functional consequences of genomic aberrations. Integrating multi-omics data derived from NGS allows for a view of the molecular landscape of cancer, paving the way for identifying biomarkers for early detection, prognosis, and predicting therapeutic responses.

Selected publications from our customers:

Lambros, M et al. (2023) Transcriptome Sequencing Reveals the Mechanism behind Chemically Induced Oral Mucositis in a 3D Cell Culture Model. Int. J. Mol. Sci. 2023, 24(5), 5058; https://doi.org/10.3390/ijms24055058