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通过 SSP 分析鉴定 NEBD 期小鼠卵母细胞的翻译组;一种新的多核糖体分离方法。

Identifying the Translatome of Mouse NEBD-Stage Oocytes via SSP-Profiling; A Novel Polysome Fractionation Method.

机构信息

Laboratory of RNA Biochemistry, Department of Genetics and Microbiology, Faculty of Science, Charles University, Viničná 5, 128 44, 2 Prague, Czech Republic.

Laboratory of Biochemistry and Molecular Biology of Germ Cells, Institute of Animal Physiology and Genetics, CAS, Rumburská 89, 277 21 Liběchov, Czech Republic.

出版信息

Int J Mol Sci. 2020 Feb 13;21(4):1254. doi: 10.3390/ijms21041254.

Abstract

Meiotic maturation of oocyte relies on pre-synthesised maternal mRNA, the translation of which is highly coordinated in space and time. Here, we provide a detailed polysome profiling protocol that demonstrates a combination of the sucrose gradient ultracentrifugation in small SW55Ti tubes with the qRT-PCR-based quantification of 18S and 28S rRNAs in fractionated polysome profile. This newly optimised method, named Scarce Sample Polysome Profiling (SSP-profiling), is suitable for both scarce and conventional sample sizes and is compatible with downstream RNA-seq to identify polysome associated transcripts. Utilising SSP-profiling we have assayed the translatome of mouse oocytes at the onset of nuclear envelope breakdown (NEBD)-a developmental point, the study of which is important for furthering our understanding of the molecular mechanisms leading to oocyte aneuploidy. Our analyses identified 1847 transcripts with moderate to strong polysome occupancy, including abundantly represented mRNAs encoding mitochondrial and ribosomal proteins, proteasomal components, glycolytic and amino acids synthetic enzymes, proteins involved in cytoskeleton organization plus RNA-binding and translation initiation factors. In addition to transcripts encoding known players of meiotic progression, we also identified several mRNAs encoding proteins of unknown function. Polysome profiles generated using SSP-profiling were more than comparable to those developed using existing conventional approaches, being demonstrably superior in their resolution, reproducibility, versatility, speed of derivation and downstream protocol applicability.

摘要

卵母细胞的减数分裂成熟依赖于预先合成的母体 mRNA,其翻译在空间和时间上高度协调。在这里,我们提供了一个详细的多核糖体分析方案,该方案结合了小 SW55Ti 管中的蔗糖梯度超速离心和基于 qRT-PCR 的 18S 和 28S rRNA 在分馏多核糖体图谱中的定量,展示了一种新的优化方法,命名为稀有样本多核糖体分析(SSP-分析),该方法适用于稀有和常规样本量,并且与下游 RNA-seq 兼容,可用于鉴定多核糖体相关的转录物。利用 SSP 分析,我们检测了卵母细胞在核膜破裂(NEBD)开始时的翻译组-这是一个重要的发育点,研究它对于深入了解导致卵母细胞非整倍体的分子机制非常重要。我们的分析确定了 1847 个具有中度至强多核糖体占据的转录物,包括大量编码线粒体和核糖体蛋白、蛋白酶体成分、糖酵解和氨基酸合成酶、参与细胞骨架组织以及 RNA 结合和翻译起始因子的蛋白质的 mRNA。除了编码已知减数分裂进程参与者的转录物外,我们还鉴定了几个编码未知功能蛋白的 mRNA。使用 SSP 分析生成的多核糖体图谱与使用现有常规方法生成的图谱非常相似,在分辨率、重现性、多功能性、衍生速度和下游方案适用性方面明显更优。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5f3/7072993/0151ae61b1cd/ijms-21-01254-g001.jpg

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