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Transcriptome of embryonic and neonatal mouse cortex by high-throughput RNA sequencing
Han, Xinwei1,3,4; Wu, Xia1,3; Chung, Wen-Yu3,5; Li, Tao1,3,9; Nekrutenko, Anton2,3,4; Altman, Naomi S.3,6; Chen, Gong1,3,4; Ma, Hong1,4,5,7,8; Chen, G, Penn State Univ, Dept Biol, 201 Life Sci Bldg, University Pk, PA 16802 USA
2009-08-04
Source PublicationPROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
ISSN0027-8424
Volume106Issue:31Pages:12741-12746
AbstractBrain structure and function experience dramatic changes from embryonic to postnatal development. Microarray analyses have detected differential gene expression at different stages and in disease models, but gene expression information during early brain development is limited. We have generated >27 million reads to identify mRNAs from the mouse cortex for>16,000 genes at either embryonic day 18 (E18) or postnatal day 7 (P7), a period of significant synapto-genesis for neural circuit formation. In addition, we devised strategies to detect alternative splice forms and uncovered more splice variants. We observed differential expression of 3,758 genes between the 2 stages, many with known functions or predicted to be important for neural development. Neurogenesis-related genes, such as those encoding Sox4, Sox11, and zinc-finger proteins, were more highly expressed at E18 than at P7. In contrast, the genes encoding synaptic proteins such as synaptotagmin, complexin 2, and syntaxin were up-regulated from E18 to P7. We also found that several neurological disorder-related genes were highly expressed at E18. Our transcriptome analysis may serve as a blueprint for gene expression pattern and provide functional clues of previously unknown genes and disease-related genes during early brain development.; Brain structure and function experience dramatic changes from embryonic to postnatal development. Microarray analyses have detected differential gene expression at different stages and in disease models, but gene expression information during early brain development is limited. We have generated >27 million reads to identify mRNAs from the mouse cortex for>16,000 genes at either embryonic day 18 (E18) or postnatal day 7 (P7), a period of significant synapto-genesis for neural circuit formation. In addition, we devised strategies to detect alternative splice forms and uncovered more splice variants. We observed differential expression of 3,758 genes between the 2 stages, many with known functions or predicted to be important for neural development. Neurogenesis-related genes, such as those encoding Sox4, Sox11, and zinc-finger proteins, were more highly expressed at E18 than at P7. In contrast, the genes encoding synaptic proteins such as synaptotagmin, complexin 2, and syntaxin were up-regulated from E18 to P7. We also found that several neurological disorder-related genes were highly expressed at E18. Our transcriptome analysis may serve as a blueprint for gene expression pattern and provide functional clues of previously unknown genes and disease-related genes during early brain development.
SubtypeArticle
KeywordE18 P7 Brain Transcription Factors Neural Diseases
Department[Han, Xinwei; Wu, Xia; Li, Tao; Chen, Gong; Ma, Hong] Penn State Univ, Dept Biol, University Pk, PA 16802 USA; [Nekrutenko, Anton] Penn State Univ, Dept Biochem & Mol Biol, University Pk, PA 16802 USA; [Han, Xinwei; Wu, Xia; Chung, Wen-Yu; Li, Tao; Nekrutenko, Anton; Altman, Naomi S.; Chen, Gong] Penn State Univ, Huck Inst Life Sci, University Pk, PA 16802 USA; [Han, Xinwei; Nekrutenko, Anton; Chen, Gong; Ma, Hong] Penn State Univ, Intercoll Grad Program Genet, University Pk, PA 16802 USA; [Chung, Wen-Yu; Ma, Hong] Penn State Univ, Dept Comp Sci & Engn, University Pk, PA 16802 USA; [Altman, Naomi S.] Penn State Univ, Dept Stat, University Pk, PA 16802 USA; [Ma, Hong] Fudan Univ, State Key Lab, Genet Engn & Inst Plant Biol, Ctr Evolutionary Biol,Sch Life Sci, Shanghai 200433, Peoples R China; [Ma, Hong] Fudan Univ, Inst Biomed Sci, Shanghai 200032, Peoples R China; [Li, Tao] Chinese Acad Sci, Inst Hydrobiol, Wuhan 430072, Hubei, Peoples R China
Subject AreaMultidisciplinary Sciences
DOI10.1073/pnas.0902417106
WOS HeadingsScience & Technology
Indexed BySCI
Language英语
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:000268667600034
WOS KeywordGENE-EXPRESSION ; HUMAN GENOME ; DNA MICROARRAY ; BRAIN ; SYNAPTOGENESIS ; IDENTIFICATION ; AUTOPHAGY ; NEURONS ; ARRAYS ; MICE
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Document Type期刊论文
Identifierhttp://ir.ihb.ac.cn/handle/152342/7626
Collection期刊论文
Corresponding AuthorChen, G, Penn State Univ, Dept Biol, 201 Life Sci Bldg, University Pk, PA 16802 USA
Affiliation1.Penn State Univ, Dept Biol, University Pk, PA 16802 USA
2.Penn State Univ, Dept Biochem & Mol Biol, University Pk, PA 16802 USA
3.Penn State Univ, Huck Inst Life Sci, University Pk, PA 16802 USA
4.Penn State Univ, Intercoll Grad Program Genet, University Pk, PA 16802 USA
5.Penn State Univ, Dept Comp Sci & Engn, University Pk, PA 16802 USA
6.Penn State Univ, Dept Stat, University Pk, PA 16802 USA
7.Fudan Univ, State Key Lab, Genet Engn & Inst Plant Biol, Ctr Evolutionary Biol,Sch Life Sci, Shanghai 200433, Peoples R China
8.Fudan Univ, Inst Biomed Sci, Shanghai 200032, Peoples R China
9.Chinese Acad Sci, Inst Hydrobiol, Wuhan 430072, Hubei, Peoples R China
Recommended Citation
GB/T 7714
Han, Xinwei,Wu, Xia,Chung, Wen-Yu,et al. Transcriptome of embryonic and neonatal mouse cortex by high-throughput RNA sequencing[J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA,2009,106(31):12741-12746.
APA Han, Xinwei.,Wu, Xia.,Chung, Wen-Yu.,Li, Tao.,Nekrutenko, Anton.,...&Chen, G, Penn State Univ, Dept Biol, 201 Life Sci Bldg, University Pk, PA 16802 USA.(2009).Transcriptome of embryonic and neonatal mouse cortex by high-throughput RNA sequencing.PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA,106(31),12741-12746.
MLA Han, Xinwei,et al."Transcriptome of embryonic and neonatal mouse cortex by high-throughput RNA sequencing".PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA 106.31(2009):12741-12746.
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