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转录起始位点的视网膜转录组分析:轴突损伤后早期基因表达的帽分析

Retinal transcriptome profiling at transcription start sites: a cap analysis of gene expression early after axonal injury.

作者信息

Yasuda Masayuki, Tanaka Yuji, Nishiguchi Koji M, Ryu Morin, Tsuda Satoru, Maruyama Kazuichi, Nakazawa Toru

机构信息

Department of Ophthalmology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan.

出版信息

BMC Genomics. 2014 Nov 18;15(1):982. doi: 10.1186/1471-2164-15-982.

Abstract

BACKGROUND

Glaucoma is characterized by progressive loss of the visual field and death of retinal ganglion cells (RGCs), a process that is mediated, in part, by axonal injury. However, the molecular pathomechanisms linking RGC death and axonal injury remain largely unknown. Here, we examined these mechanisms with a cap analysis of gene expression (CAGE), which allows the comprehensive quantification of transcription initiation across the entire genome. We aimed to identify changes in gene expression patterns and to predict the resulting alterations in the protein network in the early phases of axonal injury in mice.

RESULTS

We performed optic nerve crush (ONC) in mice to model axonal injury. Two days after ONC, the retinas were isolated, RNA was extracted, and a CAGE library was constructed and sequenced. CAGE data for ONC eyes and sham-treated eyes was compared, revealing 180 differentially expressed genes. Among them, the Bcat1 gene, involved in the catabolism of branched-chain amino acid transaminase, showed the largest change in expression (log2 fold-change=6.70). In some differentially expressed genes, alternative transcription start sites were observed in the ONC eyes, highlighting the dynamism of transcription initiation in a state of disease. In silico pathway analysis predicted that ATF4 was the most significant upstream regulator orchestrating pathological processes after ONC. Its downstream candidate targets included Ddit3, which is known to induce cell death under endoplasmic reticulum stress. In addition, a regulatory network comprising IFNG, P38 MAPK, and TP53 was predicted to be involved in the induction of cell death.

CONCLUSION

Through CAGE, we have identified differentially expressed genes that may account for the link between axonal injury and RGC death. Furthermore, an in silico pathway analysis provided a global view of alterations in the networks of key regulators of biological pathways that presumably take place in ONC. We thus believe that our study serves as a valuable resource to understand the molecular processes that define axonal injury-driven RGC death.

摘要

背景

青光眼的特征是视野逐渐丧失和视网膜神经节细胞(RGCs)死亡,这一过程部分由轴突损伤介导。然而,将RGC死亡与轴突损伤联系起来的分子发病机制在很大程度上仍不清楚。在此,我们利用基因表达帽分析(CAGE)研究了这些机制,该方法能够对整个基因组的转录起始进行全面定量。我们旨在识别基因表达模式的变化,并预测小鼠轴突损伤早期蛋白质网络的相应改变。

结果

我们对小鼠进行视神经挤压(ONC)以模拟轴突损伤。ONC后两天,分离视网膜,提取RNA,构建并测序CAGE文库。比较了ONC组眼睛和假手术组眼睛的CAGE数据,发现180个差异表达基因。其中,参与支链氨基酸转氨酶分解代谢的Bcat1基因表达变化最大(log2倍数变化=6.70)。在一些差异表达基因中,在ONC组眼睛中观察到了替代转录起始位点,突出了疾病状态下转录起始的动态变化。计算机通路分析预测,ATF4是ONC后协调病理过程的最显著上游调节因子。其下游候选靶点包括Ddit3,已知该基因在内质网应激下可诱导细胞死亡。此外,预测由IFNG、P38 MAPK和TP53组成的调控网络参与细胞死亡的诱导。

结论

通过CAGE,我们鉴定出了可能解释轴突损伤与RGC死亡之间联系的差异表达基因。此外,计算机通路分析提供了一个关于ONC中可能发生的生物通路关键调节因子网络变化的全局视图。因此,我们相信我们的研究为理解定义轴突损伤驱动的RGC死亡的分子过程提供了宝贵的资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8ab/4246558/170f7748fb1e/12864_2014_6671_Fig1_HTML.jpg

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