ReviewMethods in molecular biology (Clifton, N.J.)2020
Strategies for Generating RNA Exosome Complexes from Recombinant Expression Hosts.
Review in Methods in molecular biology (Clifton, N.J.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Beyond enzyme engineering: ordered enzyme immobilization drives enhanced productivityFrontiers in bioengineering and biotechnology · 2026Article
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3 authors.
Funding
Abstract
The eukaryotic RNA exosome is a conserved and ubiquitous multiprotein complex that possesses multiple RNase activities and is involved in a diverse array of RNA degradation and processing events. While much of our current understanding of RNA exosome function has been elucidated using genetics and cell biology based studies of protein functions, in particular in S. cerevisiae, many important contributions in the field have been enabled through use of in vitro reconstituted complexes. Here, we present an overview of our approach to purify exosome components from recombinant sources and reconstitute them into functional complexes. Three chapters following this overview provide detailed protocols for reconstituting exosome complexes from S. cerevisiae, S. pombe, and H. sapiens. We additionally provide insight on some of the drawbacks of these methods and highlight several important discoveries that have been achieved using reconstituted complexes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.