Genome-Wide Profiling of the Activity-Dependent Hippocampal Transcriptome

被引:34
|
作者
Hermey, Guido [1 ]
Mahlke, Claudia [1 ]
Gutzmann, Jakob J. [1 ]
Schreiber, Joerg [2 ]
Bluethgen, Nils [3 ,4 ]
Kuhl, Dietmar [1 ]
机构
[1] Univ Med Ctr Hamburg Eppendorf, Ctr Mol Neurobiol Hamburg, Inst Mol & Cellular Cognit, Hamburg, Germany
[2] Max Planck Inst Infect Biol, Dept Immunol, Berlin, Germany
[3] Charite, Inst Theoret Biol, D-13353 Berlin, Germany
[4] Charite, Inst Pathol, D-13353 Berlin, Germany
来源
PLOS ONE | 2013年 / 8卷 / 10期
关键词
LONG-TERM POTENTIATION; IMMEDIATE-EARLY GENE; SYNAPTIC PLASTICITY; NERVOUS-SYSTEM; KAINIC ACID; NEURONAL-ACTIVITY; TARGET GENES; EXPRESSION; PROTEIN; SEIZURE;
D O I
10.1371/journal.pone.0076903
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Activity-dependent gene expression is central for sculpting neuronal connectivity in the brain. Despite the importance for synaptic plasticity, a comprehensive analysis of the temporal changes in the transcriptomic response to neuronal activity is lacking. In a genome wide survey we identified genes that were induced at 1, 4, 8, or 24 hours following neuronal activity in the hippocampus. According to their distinct expression kinetics we assigned these genes to five clusters, each containing approximately 200 genes. Using in situ hybridizations the regulated expression of 24 genes was validated. Apart from known activity-dependent genes our study reveals a large number of unknown induced genes with distinct expression kinetics. Among these we identified several genes with complex temporal expression patterns. Furthermore, our study provides examples for activity-induced exon switching in the coding region of genes and activity-induced alternative splicing of the 3'-UTR. One example is Zwint. In contrast to the constitutively expressed variant, the induced Zwint transcript harbors multiple regulatory elements in the 3'-UTR. Taken together, our study provides a comprehensive analysis of the transcriptomic response to neuronal activity and sheds new light on expression kinetics and alternative splicing events.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Genome-wide transcriptome profiling of region-specific vulnerability to oxidative stress in the hippocampus
    Wang, Xinkun
    Pal, Ranu
    Chen, Xue-wen
    Kumar, Keshava N.
    Kim, Ok-Jin
    Michaelis, Elias K.
    GENOMICS, 2007, 90 (02) : 201 - 212
  • [22] Genome-wide transcriptome profiling of radish (Raphanus sativus L.) in response to vernalization
    Liu, Chen
    Wang, Shufen
    Xu, Wenling
    Liu, Xianxian
    PLOS ONE, 2017, 12 (05):
  • [23] Genome-wide transcriptome profiling of human trabecular meshwork cells treated with TGFβ-2
    Willoughby, Colin E.
    Lester, Karen
    Whysall, Kasia
    Choudhary, Anshoo
    Hamill, Kevin J.
    Sheridan, Carl
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2017, 58 (08)
  • [24] Profiling genome-wide DNA methylation
    Wai-Shin Yong
    Fei-Man Hsu
    Pao-Yang Chen
    Epigenetics & Chromatin, 9
  • [25] GENOME-WIDE METHYLATION PROFILING OF SCHIZOPHRENIA
    Rukova, B.
    Staneva, R.
    Hadjidekova, S.
    Stamenov, G.
    Milanova, V
    Toncheva, D.
    BALKAN JOURNAL OF MEDICAL GENETICS, 2014, 17 (02) : 15 - 23
  • [26] Profiling genome-wide DNA methylation
    Yong, Wai-Shin
    Hsu, Fei-Man
    Chen, Pao-Yang
    EPIGENETICS & CHROMATIN, 2016, 9
  • [27] Genome-Wide Expression Profiling of Suicide
    Punzi, Giovanna
    Ursini, Gianluca
    Collado-Torres, Leonardo
    Shin, Joo Heon
    Catanesi, Roberto
    Jaffe, Andrew
    Hyde, Thomas
    Kleinman, Joel
    Weinberger, Daniel
    NEUROPSYCHOPHARMACOLOGY, 2018, 43 : S111 - S112
  • [28] Genome-wide DNA methylation profiling
    Bibikova, Marina
    Fan, Jian-Bing
    WILEY INTERDISCIPLINARY REVIEWS-SYSTEMS BIOLOGY AND MEDICINE, 2010, 2 (02) : 210 - 223
  • [29] Improved sgRNA design in bacteria via genome-wide activity profiling
    Guo, Jiahui
    Wang, Tianmin
    Guan, Changge
    Liu, Bing
    Luo, Cheng
    Xie, Zhen
    Zhang, Chong
    Xing, Xin-Hui
    NUCLEIC ACIDS RESEARCH, 2018, 46 (14) : 7052 - 7069
  • [30] Genome-wide transcriptome analysis of MS exosomes
    Mycko, M.
    Paukszto, L.
    Jastrzebski, J. P.
    Selmaj, K.
    MULTIPLE SCLEROSIS JOURNAL, 2019, 25 : 283 - 284