Evidence map›Paper›PMID 30472247›Full record

ArticleMethods (San Diego, Calif.)2019

Analysis of spliceosome dynamics by maximum likelihood fitting of dwell time distributions.

Harpreet Kaur, Fatemehsadat Jamalidinan, Samson G F Condon, Alessandro Senes, Aaron A Hoskins

Abstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Identification of transient intermediates during spliceosome activation by single molecule fluorescence microscopy.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. 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

5 authors.

Harpreet KaurDepartment of Biochemistry, 433 Babcock Dr., University of Wisconsin-Madison, Madison, WI 53706, USA.
Fatemehsadat JamalidinanDepartment of Biochemistry, 433 Babcock Dr., University of Wisconsin-Madison, Madison, WI 53706, USA.
Samson G F CondonDepartment of Biochemistry, 433 Babcock Dr., University of Wisconsin-Madison, Madison, WI 53706, USA.
Alessandro SenesDepartment 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

Research Training for Computation and Informatics in Biology and MedicineT15LM007359 · NLM · UNIVERSITY OF WISCONSIN-MADISON · PI Mark W. Craven, Colin Noel Dewey · 2002 to 2026
$22.6M
Structural study of transmembrane interactions in the bacterial divisomeR01GM099752 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI SENES, ALESSANDRO · 2013 to 2017
$1.7M
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 GM099752NIGMS NIH HHS R01 GM112735NLM NIH HHS T15 LM007359
6 · The paper itself

Abstract

Colocalization single-molecule methods can provide a wealth of information concerning the ordering and dynamics of biomolecule assembly. These have been used extensively to study the pathways of spliceosome assembly in vitro. Key to these experiments is the measurement of binding times-either the dwell times of a multi-molecular interaction or times in between binding events. By analyzing hundreds of these times, many new insights into the kinetic pathways governing spliceosome assembly have been obtained. Collections of binding times are often plotted as histograms and can be fit to kinetic models using a variety of methods. Here, we describe the use of maximum likelihood methods to fit dwell time distributions without binning. In addition, we discuss several aspects of analyzing these distributions with histograms and pitfalls that can be encountered if improperly binned histograms are used. We have automated several aspects of maximum likelihood fitting of dwell time distributions in the AGATHA software package.

Indexed as

FluorescenceKineticsLikelihood FunctionsRNASaccharomyces cerevisiaeSingle Molecule ImagingSoftwareSpliceosomesRNADynamicsFittingFluorescenceSingle-moleculeSoftwareSpliceosome

Identifiers

PMID30472247
PMCPMC6363122

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.