Evidence map›Paper›PMID 28445762›Full record

ArticleBiophysical journal2017

Analysis of Active Transport by Fluorescence Recovery after Photobleaching.

Maria-Veronica Ciocanel, Jill A Kreiling, James A Gagnon, Kimberly L Mowry, Björn Sandstede

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in Biophysical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Article
  3. Motor-driven microtubule diffusion in a photobleached dynamical coordinate system.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  11. Review
  12. Modeling microtubule-based transport and anchoring of mRNA.SIAM journal on applied dynamical systems · 2018
    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 at 2 institutions in 1 country.

Maria-Veronica CiocanelDivision of Applied Mathematics, Brown University, Providence, Rhode Island.
Jill A KreilingDepartment of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, Rhode Island.
James A GagnonDepartment of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, Rhode Island; Department of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts.
Kimberly L MowryDepartment of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, Rhode Island.
Björn SandstedeDivision of Applied Mathematics, Brown University, Providence, Rhode Island. Electronic address: bjorn_sandstede@brown.edu.
Brown University · USHarvard University · US

Funding

TRAINING IN MOLECULAR &CELL BIOLOGY &BIOCHEMISTRYT32GM007601 · NIGMS · BROWN UNIVERSITY · PI MOWRY, KIMBERLY L. · 1985 to 2019
$6.4M
RNA Localization in Xenopus OocytesR01GM071049 · NIGMS · BROWN UNIVERSITY · PI MOWRY, KIMBERLY L. · 2005 to 2018
$4.2M
NIGMS NIH HHS R01 GM071049NIGMS NIH HHS T32 GM007601
6 · The paper itself

Abstract

Fluorescence recovery after photobleaching (FRAP) is a well-established experimental technique to study binding and diffusion of molecules in cells. Although a large number of analytical and numerical models have been developed to extract binding and diffusion rates from FRAP recovery curves, active transport of molecules is typically not included in the existing models that are used to estimate these rates. Here we present a validated numerical method for estimating diffusion, binding/unbinding rates, and active transport velocities using FRAP data that captures intracellular dynamics through partial differential equation models. We apply these methods to transport and localization of mRNA molecules in Xenopus laevis oocytes, where active transport processes are essential to generate developmental polarity. By providing estimates of the effective velocities and diffusion, as well as expected run times and lengths, this approach can help quantify dynamical properties of localizing and nonlocalizing RNA. Our results confirm the distinct transport dynamics in different regions of the cytoplasm, and suggest that RNA movement in both the animal and vegetal directions may influence the timescale of RNA localization in Xenopus oocytes. We also show that model initial conditions extracted from FRAP postbleach intensities prevent underestimation of diffusion, which can arise from the instantaneous bleaching assumption. The numerical and modeling approach presented here to estimate parameters using FRAP recovery data is a broadly applicable tool for systems where intracellular transport is a key molecular mechanism.

Indexed as

Biological Transport, ActiveFluorescence Recovery After PhotobleachingModels, MolecularAnimalsCapsid ProteinsComputer SimulationCytoplasmDiffusionLevivirusLuminescent ProteinsMicroinjectionsMotionOocytesProtein BindingRed Fluorescent ProteinRNA, MessengerCapsid ProteinsLuminescent ProteinsRed Fluorescent ProteinRNA, Messenger

Identifiers

PMID28445762
PMCPMC5406284
OpenAlexW2608945653

What OpenQuestion holds

Textmetadata
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.