Evidence map›Paper›PMID 28529063›Full record

ReviewMethods (San Diego, Calif.)2017

Methodologies for studying the spliceosome's RNA dynamics with single-molecule FRET.

Clarisse van der Feltz, Aaron A Hoskins

Abstract readReview
In one paragraph

Review in Methods (San Diego, Calif.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Transcription Regulation Through Nascent RNA Folding.Journal of molecular biology · 2021
    Review
  5. Article
  6. Approaches for measuring the dynamics of RNA-protein interactions.Wiley interdisciplinary reviews. RNA · 2020
    Review
  7. Article
  8. Review
  9. 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

2 authors.

Clarisse van der FeltzDepartment of Biochemistry, 433 Babcock Dr., University of Wisconsin-Madison, Madison, WI 53706, USA.
Aaron A HoskinsDepartment of Biochemistry, 433 Babcock Dr., University of Wisconsin-Madison, Madison, WI 53706, USA. Electronic address: ahoskins@wisc.edu.

Funding

Mechanisms of Spliceosome Assembly and Splice Site RecognitionR01GM112735 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI HOSKINS, AARON ANDREW · 2015 to 2019
$1.6M
NIGMS NIH HHS R01 GM112735
6 · The paper itself

Abstract

The spliceosome is an extraordinarily dynamic molecular machine in which significant changes in composition as well as protein and RNA conformation are required for carrying out pre-mRNA splicing. Single-molecule fluorescence resonance energy transfer (smFRET) can be used to elucidate these dynamics both in well-characterized model systems and in entire spliceosomes. These types of single-molecule data provide novel information about spliceosome components and can be used to identify sub-populations of molecules with unique behaviors. When smFRET is combined with single-molecule fluorescence colocalization, conformational dynamics can be further linked to the presence or absence of a given spliceosome component. Here, we provide a description of experimental considerations, approaches, and workflows for smFRET with an emphasis on applications for the splicing machinery.

Indexed as

Analytic Sample Preparation MethodsFluorescence Resonance Energy TransferFluorescent DyesMicroscopy, FluorescenceNucleic Acid ConformationOligonucleotidesRNA, FungalRNA PrecursorsRNA SplicingSaccharomyces cerevisiaeSingle Molecule ImagingSpliceosomesStaining and LabelingFluorescent DyesOligonucleotidesRNA, FungalRNA PrecursorsDynamicsFluorescenceFRETRNASingle-moleculeSpliceosome

Identifiers

PMID28529063
PMCPMC5546994

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.