Transcriptomics analysis

Transcriptomics, a vital branch of genomics, focuses on the comprehensive study of RNA molecules, particularly messenger RNA (mRNA), to unravel the intricate language of genes. By using Next-Generation Sequencing (NGS), researchers can explore the entire transcriptome, offering a detailed snapshot of the RNA molecules present in any biological sample at a given time. This wealth of data extends far beyond traditional gene expression studies, covering areas such as:

  • Alternative splicing events that modify gene products.

  • Identification of non-coding RNAs, which play crucial regulatory roles.

  • Detection of rare or low-abundance transcripts that are often overlooked by other techniques.

NGS-based transcriptomic analysis provides an in-depth understanding of RNA dynamics, essential for investigating the molecular mechanisms that regulate gene function and cellular behavior.

Transcriptomics in Cancer Research

In cancer research, transcriptomics plays a critical role in uncovering the molecular mechanisms driving tumorigenesis. Using RNA-Seq, a powerful transcriptomic tool, researchers can:

  • Quantify gene expression levels with high precision.

  • Identify novel transcripts and isoforms that may be dysregulated in cancer cells.

  • Understand the functional consequences of genetic alterations, such as mutations or chromosomal rearrangements.

This information is instrumental in identifying potential therapeutic targets, predicting patient outcomes, and providing insights into personalized treatment strategies. By decoding the transcriptomic landscape of cancer, researchers can also explore how specific oncogenes or tumor suppressor genes are altered, paving the way for more effective targeted therapies.

Selection of our publications

Lambros M, Moreno J, Fei Q, Parsa C, Orlando R & Van Haute L. (2023) Transcriptome sequencing reveals the mechanism behind the chemically induced oral mucositis in a 3D cell culture model. IJMS 24(5):5058 doi: 10.3390/ijms24055058

Van Haute L, et al. (2023) TEFM variants impair mitochondrial transcription causing childhood-onset neurological disease. Nat Commun doi: 10.1038/s41467-023-36277-7

RNA-seq to study the role of TEFM in disease