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Transcriptional profiling reveals the transcription factor networks regulating the survival of striatal neurons
by
Qi, Dashi
, Xu, Zhejun
, Liu, Guoping
, Yang, Lin
, Zhang, Zhuangzhi
, Li, Zhenmeiyu
, Shang, Zicong
, Du, Heng
, Su, Zihao
, Wang, Ziwu
, Yang, Zhengang
in
13/1
/ 13/2
/ 38/39
/ 38/91
/ 631/378
/ 631/378/1934
/ 631/378/2571/1696
/ 64/60
/ 82/1
/ Animals
/ Antibodies
/ Apoptosis
/ Biochemistry
/ Biomedical and Life Sciences
/ Case-Control Studies
/ Cell Biology
/ Cell Culture
/ Corpus Striatum - pathology
/ Databases, Genetic
/ Embryogenesis
/ Eye Proteins - genetics
/ Gene expression
/ Gene Expression Profiling
/ Gene Expression Regulation, Developmental
/ Gene Regulatory Networks
/ Genetic Predisposition to Disease
/ Homeobox Protein SIX3
/ Homeodomain Proteins - genetics
/ Humans
/ Huntington Disease - genetics
/ Huntington Disease - pathology
/ Huntington's disease
/ Huntingtons disease
/ Immunology
/ Learning algorithms
/ Life Sciences
/ Machine Learning
/ Mice, Knockout
/ Neostriatum
/ Nerve Tissue Proteins - genetics
/ Phenotype
/ RNA-Seq
/ Six3 gene
/ Transcription factors
/ Transcription Factors - genetics
/ Transcriptome
/ Transcriptomes
/ Transcriptomics
2021
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Transcriptional profiling reveals the transcription factor networks regulating the survival of striatal neurons
by
Qi, Dashi
, Xu, Zhejun
, Liu, Guoping
, Yang, Lin
, Zhang, Zhuangzhi
, Li, Zhenmeiyu
, Shang, Zicong
, Du, Heng
, Su, Zihao
, Wang, Ziwu
, Yang, Zhengang
in
13/1
/ 13/2
/ 38/39
/ 38/91
/ 631/378
/ 631/378/1934
/ 631/378/2571/1696
/ 64/60
/ 82/1
/ Animals
/ Antibodies
/ Apoptosis
/ Biochemistry
/ Biomedical and Life Sciences
/ Case-Control Studies
/ Cell Biology
/ Cell Culture
/ Corpus Striatum - pathology
/ Databases, Genetic
/ Embryogenesis
/ Eye Proteins - genetics
/ Gene expression
/ Gene Expression Profiling
/ Gene Expression Regulation, Developmental
/ Gene Regulatory Networks
/ Genetic Predisposition to Disease
/ Homeobox Protein SIX3
/ Homeodomain Proteins - genetics
/ Humans
/ Huntington Disease - genetics
/ Huntington Disease - pathology
/ Huntington's disease
/ Huntingtons disease
/ Immunology
/ Learning algorithms
/ Life Sciences
/ Machine Learning
/ Mice, Knockout
/ Neostriatum
/ Nerve Tissue Proteins - genetics
/ Phenotype
/ RNA-Seq
/ Six3 gene
/ Transcription factors
/ Transcription Factors - genetics
/ Transcriptome
/ Transcriptomes
/ Transcriptomics
2021
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Transcriptional profiling reveals the transcription factor networks regulating the survival of striatal neurons
by
Qi, Dashi
, Xu, Zhejun
, Liu, Guoping
, Yang, Lin
, Zhang, Zhuangzhi
, Li, Zhenmeiyu
, Shang, Zicong
, Du, Heng
, Su, Zihao
, Wang, Ziwu
, Yang, Zhengang
in
13/1
/ 13/2
/ 38/39
/ 38/91
/ 631/378
/ 631/378/1934
/ 631/378/2571/1696
/ 64/60
/ 82/1
/ Animals
/ Antibodies
/ Apoptosis
/ Biochemistry
/ Biomedical and Life Sciences
/ Case-Control Studies
/ Cell Biology
/ Cell Culture
/ Corpus Striatum - pathology
/ Databases, Genetic
/ Embryogenesis
/ Eye Proteins - genetics
/ Gene expression
/ Gene Expression Profiling
/ Gene Expression Regulation, Developmental
/ Gene Regulatory Networks
/ Genetic Predisposition to Disease
/ Homeobox Protein SIX3
/ Homeodomain Proteins - genetics
/ Humans
/ Huntington Disease - genetics
/ Huntington Disease - pathology
/ Huntington's disease
/ Huntingtons disease
/ Immunology
/ Learning algorithms
/ Life Sciences
/ Machine Learning
/ Mice, Knockout
/ Neostriatum
/ Nerve Tissue Proteins - genetics
/ Phenotype
/ RNA-Seq
/ Six3 gene
/ Transcription factors
/ Transcription Factors - genetics
/ Transcriptome
/ Transcriptomes
/ Transcriptomics
2021
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Transcriptional profiling reveals the transcription factor networks regulating the survival of striatal neurons
Journal Article
Transcriptional profiling reveals the transcription factor networks regulating the survival of striatal neurons
2021
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Overview
The striatum is structurally highly diverse, and its organ functionality critically depends on normal embryonic development. Although several studies have been conducted on the gene functional changes that occur during striatal development, a system-wide analysis of the underlying molecular changes is lacking. Here, we present a comprehensive transcriptome profile that allows us to explore the trajectory of striatal development and identify the correlation between the striatal development and Huntington’s disease (HD). Furthermore, we applied an integrative transcriptomic profiling approach based on machine learning to systematically map a global landscape of 277 transcription factor (TF) networks. Most of these TF networks are linked to biological processes, and some unannotated genes provide information about the corresponding mechanisms. For example, we found that the Meis2 and Six3 were crucial for the survival of striatal neurons, which were verified using conditional knockout (CKO) mice. Finally, we used RNA-Seq to speculate their downstream targets.
Publisher
Nature Publishing Group UK,Springer Nature B.V,Nature Publishing Group
Subject
/ 13/2
/ 38/39
/ 38/91
/ 631/378
/ 64/60
/ 82/1
/ Animals
/ Biomedical and Life Sciences
/ Gene Expression Regulation, Developmental
/ Genetic Predisposition to Disease
/ Homeodomain Proteins - genetics
/ Humans
/ Huntington Disease - genetics
/ Huntington Disease - pathology
/ Nerve Tissue Proteins - genetics
/ RNA-Seq
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