Evidence map›Paper›PMID 35550176›Full record

ArticleMethods (San Diego, Calif.)2022

Using DMS-MaPseq to uncover the roles of DEAD-box proteins in ribosome assembly.

Xin Liu, Haina Huang, Katrin Karbstein

Open access · hybridAbstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 39% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Xin LiuDepartment of Integrative Structural and Computational Biology, UF Scripps Biomedical Research, Jupiter, FL 33458, USA.
Haina HuangDepartment of Integrative Structural and Computational Biology, UF Scripps Biomedical Research, Jupiter, FL 33458, USA; The Skaggs Graduate School of Chemical and Biological Sciences, Jupiter, FL, USA.
Katrin KarbsteinDepartment of Integrative Structural and Computational Biology, UF Scripps Biomedical Research, Jupiter, FL 33458, USA; The Skaggs Graduate School of Chemical and Biological Sciences, Jupiter, FL, USA; HHMI Faculty Scholar, Chevy Chase, MD 20815, USA. Electronic address: katrin.karbstein@ufl.edu.
The Herbert Wertheim UF Scripps Institute for Biomedical Innovation & TechnologyUniversity of Montana · US

Funding

Dissecting the Mechanisms of Regulation and Quality Control in Ribosome Assembly and the Consequences of their FailureR35GM136323 · NIGMS · VANDERBILT UNIVERSITY · PI Katrin Karbstein · 2020 to 2026
$6.1M
Howard Hughes Medical Institute 55108536NIGMS NIH HHS R35 GM136323
6 · The paper itself

Abstract

DMS (dimethylsulfate) is a time-tested chemical probe for nucleic acid secondary structure that has recently re-emerged as a powerful tool to study RNA structure and structural changes, by coupling it to high throughput sequencing techniques. This variant, termed DMS-MaPseq, allows for mapping of all RNAs in a cell at the same time. However, if an RNA adopts different structures, for example during the assembly of an RNA-protein complex, or as part of its functional cycle, then DMS-MaPseq cannot differentiate between these structures, and an ensemble average will be produced. This is especially challenging for long-lived RNAs, such as ribosomes, whose steady-state abundance far exceeds that of any assembly intermediates, rendering those inaccessible to DMS-MaPseq on total RNAs. These challenges can be overcome by purification of assembly intermediates stalled at specific assembly steps (or steps in the functional cycle), via a combination of affinity tags and mutants stalled at defined steps, and subsequent DMS probing of these intermediates. Interpretation of the differences in DMS accessibility is facilitated by additional structural information, e.g. from cryo-EM experiments, available for many functional RNAs. While this approach is generally useful for studying RNA folding or conformational changes within RNA-protein complexes, it can be particularly valuable for studying the role(s) of DEAD-box proteins, as these tend to lead to larger conformational rearrangements, often resulting from the release of an RNA-binding protein from a bound RNA. Here we provide an adaptation of the DMS-MaPseq protocol to study RNA conformational transitions during ribosome assembly, which addresses the challenges arising from the presence of many assembly intermediates, all at concentrations far below that of mature ribosomes. While this protocol was developed for the yeast S. cerevisiae, we anticipate that it should be readily transferable to other model organisms for which affinity purification has been established.

Indexed as

RNASaccharomyces cerevisiaeDEAD-box RNA HelicasesNucleic Acid ConformationRibosomesDEAD-box RNA HelicasesRNAAffinity purificationDEAD-box proteinsDMSMapSeqRibosome assembly

Identifiers

PMID35550176
PMCPMC10152975
OpenAlexW4229375110

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.