Researchers systematically analyze alternative splicing in the family of glutamate receptors

Alternative splicing can lead to the formation of numerous protein variants. For the first time, alternative splicing has now been systematically analysed for the family of glutamate receptors.

Proteins are encoded by genes – however, this information is divided into small coding sections, which are only assembled during a process called splicing. Various combinations are possible, some of which are still unknown. Dr. Robin Herbrechter and Professor Andreas Reiner from the junior research group Cellular Neurobiology at Ruhr-Universität Bochum (RUB) now systematically analysed alternative splicing in the family of ionotropic glutamate receptors (iGluRs), which is essential for signal processing in the brain. These findings were published in the journal Cellular and Molecular Life Sciences on 8 June 2021.

Huge splicing diversity in the brain

The human genome was sequenced around 20 years ago. Since then, the sequence information encoding our proteins is known - at least in principle. However, this information is not continuously stored in the individual genes, but is divided into smaller coding sections. These coding sections, also known as exons, are assembled in a process called splicing. Depending on the gene, different exon combinations are possible, which is why they are referred to as different or alternative splicing combinations.

Almost all 20,000 human genes can be alternatively spliced. A particularly huge variety of different splice variants is found in the brain, which allows for creating a huge diversity and allows to adapt the proteins to specific requirements.

However, it is not easy to determine, which protein variants are actually present. Sequencing of already-spliced messenger RNAs (mRNAs), so-called RNA-Seq data, which are now increasingly being obtained with high-throughput approaches, offers a way out."

Professor Andreas Reiner, Ruhr-Universität Bochum (RUB)

Robin Herbrechter and Andreas Reiner now used such data to obtain an overview of all ionotropic glutamate receptor splice variants.

New glutamate receptor variants detected

Using bioinformatic methods, the researchers aligned billions of mRNA sequence snippets to the genome to reconstruct the frequency of individual splice events. This method also enabled them to detect new, previously unknown splice variants. There were quite a few surprises: the systematic analysis showed that some variants found in the previously studied model organisms mouse and rat do not occur in humans at all, or are much less abundant than previously assumed.

"Among the newly identified isoforms, some are particularly exciting, as they are quite different from the previously known variants and could thus have new functions," says Robin Herbrechter. This includes a protein domain formed by the gene of the GluA4 AMPA receptor, as well as the first description of a delta receptor 1 (GluD1) isoform. While the focus will now be on analysing these variants, also further bioinformatic analyses are planned, for example to determine which cell types produce the different splice variants.

Source:
Journal reference:

Herbrechter, R., et al. (2021) Splicing and editing of ionotropic glutamate receptors: a comprehensive analysis based on human RNA-Seq data. Cellular and Molecular Life Sciences. doi.org/10.1007/s00018-021-03865-z.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of AZoLifeSciences.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Study Unlocks Mechanisms Behind Nucleosome Arrays Using Signal Theory and Machine Learning