Analysis of the role of Purα in the pathogenesis of Alzheimer's disease based on RNA-seq and ChIP-seq

被引:0
作者
Xiaoguang Shi
Shuanglai Ren
Bingying Zhang
Shanshan Guo
Wenxin He
Chengmin Yuan
Xiaofan Yang
Kevin Ig-lzevbekhai
Tao Sun
Qinwen Wang
Jianqi Cui
机构
[1] Ningxia Medical University,Ningxia Key Laboratory of Cerebrocranial Diseases, Incubation Base of the National Key Laboratory
[2] Ningbo University,Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine
[3] Hongqi Hospital Affiliated to Mudanjiang Medical University,Department of Neurology
[4] University of Pennsylvania,Perelman School of Medicine
来源
Scientific Reports | / 11卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Purine rich element binding protein A (Purα), encoded by the Purα gene, is an important transcriptional regulator that binds to DNA and RNA and is involved in processes such as DNA replication and RNA translation. Purα also plays an important role in the nervous system. To identify the function of Pura, we performed RNA sequence (RNA-seq) analysis of Purɑ-KO mouse hippocampal neuron cell line (HT22) to analyze the effect of Purα deletion on neuronal expression profiles. And combined with ChIP-seq analysis to explore the mechanism of Purα on gene regulation. In the end, totaly 656 differentially expressed genes between HT22 and Purα-KO HT22 cells have been found, which include 7 Alzheimer’s disease (AD)-related genes and 5 Aβ clearance related genes. 47 genes were regulated by Purα directly, the evidence based on CHIP-seq, which include Insr, Mapt, Vldlr, Jag1, etc. Our study provides the important informations of Purα in neuro-development. The possible regulative effects of Purα on AD-related genes consist inthe direct and indirect pathways of Purα in the pathogenesis of AD.
引用
收藏
相关论文
共 50 条
  • [21] Protocol for integrated analysis of bacterial RNA-seq and ChIP-seq data for establishing a co-expression network
    Ding, Yiqing
    Li, Jingwei
    Li, Tianmin
    Deng, Xin
    STAR PROTOCOLS, 2023, 4 (02):
  • [22] ChIP-seq and RNA-seq Reveal the Involvement of Histone Lactylation Modification in Gestational Diabetes Mellitus
    Huang, Xiaman
    Yip, Kacheuk
    Nie, Hanhui
    Chen, Ruiping
    Wang, Xiufang
    Wang, Yun
    Lin, Weizhao
    Li, Ruiman
    JOURNAL OF PROTEOME RESEARCH, 2024, 23 (06) : 1937 - 1947
  • [23] Epigenome analysis of histone methyltransferase PRMT6 in endometrial cancer using ChIP-seq, ATAC-seq and RNA-seq
    Inoue, Futaba
    Sone, Kenbun
    Kumegawa, Kohei
    Tanimoto, Saki
    Toyohara, Yusuke
    Kukita, Asako
    Taguchi, Ayumi
    Tanikawa, Michihiro
    CANCER SCIENCE, 2022, 113
  • [24] A novel function for cyclin D1 as a transcriptional role in oncogenesis and tumor development by ChIP-Seq and RNA-Seq
    Xiong, Yudi
    Wang, Yuan
    Li, Tianqi
    Yu, Xiaoyan
    Zeng, Yangyang
    Xiao, Guohui
    Zhou, Fuxiang
    Zhou, Yunfeng
    JOURNAL OF CANCER, 2021, 12 (17): : 5181 - 5192
  • [25] Analysis of paired end Pol II ChIP-seq and short capped RNA-seq in MCF-7 cells
    Scheidegger, Adam
    Burkholder, Adam
    Abbas, Ata
    Zarns, Kris
    Samarakkody, Ann
    Nechaev, Sergei
    GENOMICS DATA, 2015, 5 : 263 - 267
  • [26] Identification of potential target genes of USP22 via ChIP-seq and RNA-seq analysis in HeLa cells
    Gong, Zhen
    Liu, Jianyun
    Xie, Xin
    Xu, Xiaoyuan
    Wu, Ping
    Li, Huimin
    Wang, Yaqin
    Li, Weidong
    Xiong, Jianjun
    GENETICS AND MOLECULAR BIOLOGY, 2018, 41 (02) : 488 - 495
  • [27] RNA-Seq analysis of two brain regions vulnerable to Alzheimer's disease
    Xinkun Wang
    BMC Proceedings, 6 (Suppl 6)
  • [28] Analysis of Controls in ChIP-seq
    Awdeh, Aseel
    Perkins, Theodore J.
    ACM-BCB' 2017: PROCEEDINGS OF THE 8TH ACM INTERNATIONAL CONFERENCE ON BIOINFORMATICS, COMPUTATIONAL BIOLOGY,AND HEALTH INFORMATICS, 2017, : 620 - 620
  • [29] THE ANALYSIS OF CHIP-SEQ DATA
    Ma, Wenxiu
    Wong, Wing Hung
    METHODS IN ENZYMOLOGY, VOL 497: SYNTHETIC BIOLOGY, METHODS FOR PART/DEVICE CHARACTERIZATION AND CHASSIS ENGINEERING, PT A, 2011, 497 : 51 - 73
  • [30] Xenbase: deep integration of GEO & SRA RNA-seq and ChIP-seq data in a model organism database
    Fortriede, Joshua D.
    Pells, Troy J.
    Chu, Stanley
    Chaturvedi, Praneet
    Wang, DongZhuo
    Fisher, Malcom E.
    James-Zorn, Christina
    Wang, Ying
    Nenni, Mardi J.
    Burns, Kevin A.
    Lotay, Vaneet S.
    Ponferrada, Virgilio G.
    Karimi, Kamran
    Zorn, Aaron M.
    Vize, Peter D.
    NUCLEIC ACIDS RESEARCH, 2020, 48 (D1) : D776 - D782