Cortexa: a comprehensive resource for studying gene expression and alternative splicing in the murine brain.

Autor: Weißbach S; Institute of Developmental Biology and Neurobiology (iDN), Johannes Gutenberg University Mainz, 55128, Mainz, Germany.; Institute of Human Genetics, University Medical Center, Johannes Gutenberg University Mainz, 55131, Mainz, Germany., Milkovits J; Institute of Developmental Biology and Neurobiology (iDN), Johannes Gutenberg University Mainz, 55128, Mainz, Germany., Pastore S; Institute of Human Genetics, University Medical Center, Johannes Gutenberg University Mainz, 55131, Mainz, Germany.; Institute of Pharmaceutical and Biomedical Sciences, Johannes Gutenberg University Mainz, 55128, Mainz, Germany., Heine M; Institute of Developmental Biology and Neurobiology (iDN), Johannes Gutenberg University Mainz, 55128, Mainz, Germany., Gerber S; Institute of Human Genetics, University Medical Center, Johannes Gutenberg University Mainz, 55131, Mainz, Germany. sugerber@uni-mainz.de., Todorov H; Institute of Human Genetics, University Medical Center, Johannes Gutenberg University Mainz, 55131, Mainz, Germany. hristo.todorov@uni-mainz.de.
Jazyk: angličtina
Zdroj: BMC bioinformatics [BMC Bioinformatics] 2024 Sep 05; Vol. 25 (1), pp. 293. Date of Electronic Publication: 2024 Sep 05.
DOI: 10.1186/s12859-024-05919-y
Abstrakt: Background: Gene expression and alternative splicing are strictly regulated processes that shape brain development and determine the cellular identity of differentiated neural cell populations. Despite the availability of multiple valuable datasets, many functional implications, especially those related to alternative splicing, remain poorly understood. Moreover, neuroscientists working primarily experimentally often lack the bioinformatics expertise required to process alternative splicing data and produce meaningful and interpretable results. Notably, re-analyzing publicly available datasets and integrating them with in-house data can provide substantial novel insights. However, such analyses necessitate developing harmonized data handling and processing pipelines which in turn require considerable computational resources and in-depth bioinformatics expertise.
Results: Here, we present Cortexa-a comprehensive web portal that incorporates RNA-sequencing datasets from the mouse cerebral cortex (longitudinal or cell-specific) and the hippocampus. Cortexa facilitates understandable visualization of the expression and alternative splicing patterns of individual genes. Our platform provides SplicePCA-a tool that allows users to integrate their alternative splicing dataset and compare it to cell-specific or developmental neocortical splicing patterns. All standardized gene expression and alternative splicing datasets can be downloaded for further in-depth downstream analysis without the need for extensive preprocessing.
Conclusions: Cortexa provides a robust and readily available resource for unraveling the complexity of gene expression and alternative splicing regulatory processes in the mouse brain. The data portal is available at https://cortexa-rna.com/.
(© 2024. The Author(s).)
Databáze: MEDLINE
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