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Monoallelic, antisense and total RNA transcription in an in vitro neural differentiation system based on F1 hybrid mice.
Kondo, Shinji; Kato, Hidemasa; Suzuki, Yutaka; Takada, Toyoyuki; Eitoku, Masamitsu; Shiroishi, Toshihiko; Suganuma, Narufumi; Sugano, Sumio; Kiyosawa, Hidenori.
Afiliação
  • Kondo S; Transdisciplinary Research Integration Center, Research Organization of Information and Systems, Tokyo 105-0001, Japan.
  • Kato H; Division of Translational Research, Research Center for Genomic Medicine, Saitama Medical University, Saitama 350-1241, Japan.
  • Suzuki Y; Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan.
  • Takada T; Transdisciplinary Research Integration Center, Research Organization of Information and Systems, Tokyo 105-0001, Japan.
  • Eitoku M; Mammalian Genetics Laboratory, National Institute of Genetics, Shizuoka 411-8540, Japan.
  • Shiroishi T; Department of Environmental Medicine, Kochi Medical School, Kochi University, Kochi 783-8505, Japan.
  • Suganuma N; Transdisciplinary Research Integration Center, Research Organization of Information and Systems, Tokyo 105-0001, Japan.
  • Sugano S; Mammalian Genetics Laboratory, National Institute of Genetics, Shizuoka 411-8540, Japan.
  • Kiyosawa H; Department of Environmental Medicine, Kochi Medical School, Kochi University, Kochi 783-8505, Japan.
J Cell Sci ; 132(17)2019 09 09.
Article em En | MEDLINE | ID: mdl-31409693
ABSTRACT
We developed an in vitro system to differentiate embryonic stem cells (ESCs) derived from reciprocally crossed F1 hybrid mice into neurons, and used it to investigate poly(A)+ and total RNA transcription at different stages of cell differentiation. By comparing expression profiles of transcripts assembled from 20 RNA sequencing datasets [2 alleles×(2 cell lines×4 time-points+2 mouse brains)], the relative influence of strain, cell and parent specificities to overall expression could be assessed. Divergent expression profiles of ESCs converged tightly at neural progenitor stage. Patterns of temporal variation of monoallelically expressed transcripts and antisense transcripts were quantified. Comparison of sense and antisense transcript pairs within the poly(A)+ sample, within the total RNA sample, and across poly(A)+ and total RNA samples revealed distinct rates of pairs showing anti-correlated expression variation. Unique patterns of sharing of poly(A)+ and poly(A)- transcription were identified in distinct RNA species. Regulation and functionality of monoallelic expression, antisense transcripts and poly(A)- transcription remain elusive. We demonstrated the effectiveness of our approach to capture these transcriptional activities, and provided new resources to elucidate the mammalian developmental transcriptome.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transcrição Gênica / Perfilação da Expressão Gênica / Neurônios Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transcrição Gênica / Perfilação da Expressão Gênica / Neurônios Idioma: En Ano de publicação: 2019 Tipo de documento: Article