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RNA-seq 转录组分析雄性和雌性斑马雀细胞系。

RNA-seq transcriptome analysis of male and female zebra finch cell lines.

机构信息

Department of Biology, East Carolina University, Greenville, NC 27858, USA.

出版信息

Genomics. 2012 Dec;100(6):363-9. doi: 10.1016/j.ygeno.2012.08.002. Epub 2012 Aug 21.

Abstract

The derivation of stably cultured cell lines has been critical to the advance of molecular biology. We profiled gene expression in the first two generally available cell lines derived from the zebra finch. Using Illumina RNA-seq, we generated ~93 million reads and mapped the majority to the recently assembled zebra finch genome. Expression of most Ensembl-annotated genes was detected, but over half of the mapped reads aligned outside annotated genes. The male-derived G266 line expressed Z-linked genes at a higher level than did the female-derived ZFTMA line, indicating persistence in culture of the distinctive lack of avian sex chromosome dosage compensation. Although these cell lines were not derived from neural tissue, many neurobiologically relevant genes were expressed, although typically at lower levels than in a reference sample from auditory forebrain. These cell lines recapitulate fundamental songbird biology and will be useful for future studies of songbird gene regulation and function.

摘要

稳定培养细胞系的衍生对于分子生物学的发展至关重要。我们对来自斑马雀的前两个普遍可用的细胞系中的基因表达进行了分析。使用 Illumina RNA-seq,我们生成了约 9300 万个读数,并将其大部分映射到最近组装的斑马雀基因组上。检测到大多数 Ensembl 注释基因的表达,但超过一半的映射读数与注释基因之外的区域对齐。来自雄性的 G266 系比来自雌性的 ZFTMA 系更高水平地表达 Z 连锁基因,这表明在培养过程中,鸟类性染色体剂量补偿的独特缺失得以保留。尽管这些细胞系不是从神经组织中分离出来的,但许多与神经生物学相关的基因都有表达,尽管其表达水平通常低于听觉前脑的参考样本。这些细胞系再现了基本的鸣禽生物学,将有助于未来研究鸣禽基因调控和功能。

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Analysing high-throughput sequencing data in Python with HTSeq 2.0.
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2
Impact of experience-dependent and -independent factors on gene expression in songbird brain.
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3
Seasonal changes in patterns of gene expression in avian song control brain regions.
PLoS One. 2012;7(4):e35119. doi: 10.1371/journal.pone.0035119. Epub 2012 Apr 18.
5
Comparison between Normalised and Unnormalised 454-Sequencing Libraries for Small-Scale RNA-Seq Studies.
Comp Funct Genomics. 2012;2012:281693. doi: 10.1155/2012/281693. Epub 2012 Jan 26.
6
Accuracy in copy number calling by qPCR and PRT: a matter of DNA.
PLoS One. 2011;6(12):e28910. doi: 10.1371/journal.pone.0028910. Epub 2011 Dec 13.
7
Differential expression in RNA-seq: a matter of depth.
Genome Res. 2011 Dec;21(12):2213-23. doi: 10.1101/gr.124321.111. Epub 2011 Sep 8.
8
FDM: a graph-based statistical method to detect differential transcription using RNA-seq data.
Bioinformatics. 2011 Oct 1;27(19):2633-40. doi: 10.1093/bioinformatics/btr458. Epub 2011 Aug 8.
9
A powerful and flexible approach to the analysis of RNA sequence count data.
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10
The reality of pervasive transcription.
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