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

IF 2.9 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Stephan Weißbach, Jonas Milkovits, Stefan Pastore, Martin Heine, Susanne Gerber, Hristo Todorov
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引用次数: 0

Abstract

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/.

Cortexa:研究小鼠大脑基因表达和替代剪接的综合资源。
背景:基因表达和替代剪接是受到严格调控的过程,它们影响着大脑的发育,并决定着分化神经细胞群的细胞特性。尽管有多种有价值的数据集,但人们对许多功能影响,尤其是与替代剪接有关的功能影响,仍然知之甚少。此外,主要从事实验工作的神经科学家往往缺乏处理替代剪接数据并得出有意义和可解释的结果所需的生物信息学专业知识。值得注意的是,重新分析公开数据集并将其与内部数据整合,可以提供大量新的见解。然而,这类分析需要开发统一的数据处理和加工管道,而这反过来又需要大量的计算资源和深入的生物信息学专业知识:在此,我们介绍了Cortexa--一个整合了小鼠大脑皮层(纵向或细胞特异性)和海马的RNA测序数据集的综合门户网站。Cortexa 可使单个基因的表达和替代剪接模式可视化。我们的平台提供的 SplicePCA 工具允许用户整合他们的替代剪接数据集,并将其与细胞特异性或发育期新皮质剪接模式进行比较。所有标准化的基因表达和替代剪接数据集都可以下载,以便进一步进行深入的下游分析,而无需进行大量的预处理:结论:Cortexa 为揭示小鼠大脑中基因表达和替代剪接调控过程的复杂性提供了一个强大且随时可用的资源。数据门户网站:https://cortexa-rna.com/。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Bioinformatics
BMC Bioinformatics 生物-生化研究方法
CiteScore
5.70
自引率
3.30%
发文量
506
审稿时长
4.3 months
期刊介绍: BMC Bioinformatics is an open access, peer-reviewed journal that considers articles on all aspects of the development, testing and novel application of computational and statistical methods for the modeling and analysis of all kinds of biological data, as well as other areas of computational biology. BMC Bioinformatics is part of the BMC series which publishes subject-specific journals focused on the needs of individual research communities across all areas of biology and medicine. We offer an efficient, fair and friendly peer review service, and are committed to publishing all sound science, provided that there is some advance in knowledge presented by the work.
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