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一种翻译谱分析方法在中枢神经系统细胞类型比较分析中的应用。

Application of a translational profiling approach for the comparative analysis of CNS cell types.

作者信息

Doyle Joseph P, Dougherty Joseph D, Heiman Myriam, Schmidt Eric F, Stevens Tanya R, Ma Guojun, Bupp Sujata, Shrestha Prerana, Shah Rajiv D, Doughty Martin L, Gong Shiaoching, Greengard Paul, Heintz Nathaniel

机构信息

Laboratory of Molecular Biology, Howard Hughes Medical Institute, The Rockefeller University, New York, NY 10065, USA.

出版信息

Cell. 2008 Nov 14;135(4):749-62. doi: 10.1016/j.cell.2008.10.029.

Abstract

Comparative analysis can provide important insights into complex biological systems. As demonstrated in the accompanying paper, translating ribosome affinity purification (TRAP) permits comprehensive studies of translated mRNAs in genetically defined cell populations after physiological perturbations. To establish the generality of this approach, we present translational profiles for 24 CNS cell populations and identify known cell-specific and enriched transcripts for each population. We report thousands of cell-specific mRNAs that were not detected in whole-tissue microarray studies and provide examples that demonstrate the benefits deriving from comparative analysis. To provide a foundation for further biological and in silico studies, we provide a resource of 16 transgenic mouse lines, their corresponding anatomic characterization, and translational profiles for cell types from a variety of central nervous system structures. This resource will enable a wide spectrum of molecular and mechanistic studies of both well-known and previously uncharacterized neural cell populations.

摘要

比较分析能够为深入了解复杂的生物系统提供重要见解。如随附论文所示,翻译核糖体亲和纯化(TRAP)技术可在生理扰动后对基因定义的细胞群体中的翻译mRNA进行全面研究。为证实该方法的通用性,我们展示了24种中枢神经系统(CNS)细胞群体的翻译图谱,并鉴定了每个群体已知的细胞特异性和富集转录本。我们报告了数千种在全组织微阵列研究中未检测到的细胞特异性mRNA,并举例说明了比较分析带来的益处。为进一步的生物学和计算机研究奠定基础,我们提供了一个包含16种转基因小鼠品系的资源库,以及它们相应的解剖学特征和来自各种中枢神经系统结构的细胞类型的翻译图谱。该资源将有助于对知名和以前未表征的神经细胞群体进行广泛的分子和机制研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d590/2763427/586be3287059/nihms80595f1.jpg

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