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Updated: Feb 13, 2026

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
Published on: June 24, 2021
Multi-time points RNA-seq screening identifies key transcription factors and splicing factors responsive to
Chuncheng Liu1, Xiaoyu Li1, Wenhua Pu1
1Inner Mongolia Key Laboratory of Life Health and Bioinformatics, School of Life Science and Technology, Inner Mongolia University of Science & Technology, Baotou, 014020, China.
Abstract:
Intermittent hypoxia (IH) is a hallmark pathological feature of obstructive sleep apnea and a critical risk factor for neurodegenerative diseases such as Alzheimer's disease. Transcription factors (TFs) and splicing factors (SFs) serve as pivotal regulators orchestrating cellular adaptations to hypoxia. This study aimed to elucidate the dynamic changes and identify candidate key TFs and SFs in the mouse hippocampus under IH. By establishing an IH mouse model (7% O2, 1/3/5/7 weeks) and integrating multi-time points RNA-seq with bioinformatic analysis and experimental validation, we systematically identified putative core TFs and SFs involved in hippocampal hypoxia response and inferred their potential functions. Our study revealed that the TFs Lef1 and Foxj1, along with the SF Rbm47, emerge as candidate key regulators. Lef1 may modulate apoptosis-related genes such as Il31ra, while Foxj1 could be linked to ciliary function and neural development by regulating genes like Rsph1. The SF Rbm47 potentially contributes to hippocampal hypoxic adaptation by modulating alternative splicing of genes such as Apc and Hnrnpa2b1. The Lef1 gene itself undergoes alterations in exon retention rates during intermittent hypoxia. These findings provide critical data to decipher hippocampal IH adaptation and offer theoretical insights into the mechanisms of AD and related neurodegenerative disorders.
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