The regulation of gene expression occurs through complex relationships between transcription, processing, turnover, and translation, which are only beginning to be elucidated. We know that at least for certain messenger (m) RNAs, processing, modifications, and sequence elements can greatly influence their translational output through recognition by translation and turn-over machinery. Recently, we and others have combined high-throughput sequencing technologies with traditional biochemical methods of studying translation to extend our understanding of these relationships. Additionally, there is growing importance given to how these processes may be regulated across varied cell types as a means to achieve tissue-specific expression of proteins. Here, we provide an in-depth methodology for polysome profiling to dissect the composition of mRNAs and proteins that make up the translatome from both whole tissues and a specific cell type isolated from mammalian tissue. Also, we provide a detailed computational workflow for the analysis of the next-generation sequencing data generated from these experiments.
Cell-type specific polysome profiling from mammalian tissues.
哺乳动物组织中细胞类型特异性多聚核糖体谱分析
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作者:Seimetz Joseph, Arif Waqar, Bangru Sushant, Hernaez Mikel, Kalsotra Auinash
| 期刊: | Methods | 影响因子: | 4.300 |
| 时间: | 2019 | 起止号: | 2019 Feb 15; 155:131-139 |
| doi: | 10.1016/j.ymeth.2018.11.015 | 研究方向: | 细胞生物学 |
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