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通过 ATLAS-Seq 揭示的转录组范围内的亚细胞微环境组织。

Transcriptome-wide organization of subcellular microenvironments revealed by ATLAS-Seq.

机构信息

Department of Molecular Genetics & Microbiology, UF Genetics Institute, Center for NeuroGenetics, University of Florida, USA.

Department of Biology, Massachusetts Institute of Technology, USA.

出版信息

Nucleic Acids Res. 2020 Jun 19;48(11):5859-5872. doi: 10.1093/nar/gkaa334.

Abstract

Subcellular organization of RNAs and proteins is critical for cell function, but we still lack global maps and conceptual frameworks for how these molecules are localized in cells and tissues. Here, we introduce ATLAS-Seq, which generates transcriptomes and proteomes from detergent-free tissue lysates fractionated across a sucrose gradient. Proteomic analysis of fractions confirmed separation of subcellular compartments. Unexpectedly, RNAs tended to co-sediment with other RNAs in similar protein complexes, cellular compartments, or with similar biological functions. With the exception of those encoding secreted proteins, most RNAs sedimented differently than their encoded protein counterparts. To identify RNA binding proteins potentially driving these patterns, we correlated their sedimentation profiles to all RNAs, confirming known interactions and predicting new associations. Hundreds of alternative RNA isoforms exhibited distinct sedimentation patterns across the gradient, despite sharing most of their coding sequence. These observations suggest that transcriptomes can be organized into networks of co-segregating mRNAs encoding functionally related proteins and provide insights into the establishment and maintenance of subcellular organization.

摘要

RNA 和蛋白质的亚细胞结构对于细胞功能至关重要,但我们仍然缺乏全局图谱和概念框架来了解这些分子在细胞和组织中的定位方式。在这里,我们介绍了 ATLAS-Seq,它可以从经去污剂处理的组织匀浆中分离蔗糖梯度的无细胞裂解物来生成转录组和蛋白质组。对各馏分的蛋白质组分析证实了亚细胞隔室的分离。出乎意料的是,RNA 往往与其他 RNA 共同沉降在相似的蛋白质复合物、细胞隔室或具有相似生物学功能的地方。除了那些编码分泌蛋白的 RNA 外,大多数 RNA 的沉降方式与其编码的蛋白质不同。为了鉴定可能驱动这些模式的 RNA 结合蛋白,我们将其沉降曲线与所有 RNA 相关联,从而证实了已知的相互作用,并预测了新的关联。数百种不同的 RNA 亚型在梯度上表现出不同的沉降模式,尽管它们共享大部分编码序列。这些观察结果表明,转录组可以组织成编码功能相关蛋白的共分离 mRNA 网络,并为亚细胞结构的建立和维持提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb9d/7293051/7aada16bab8e/gkaa334fig3.jpg

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