Evidence map›Paper›PMID 25315642›Full record

ArticleScientific reports2014

Introduction of impermeable actin-staining molecules to mammalian cells by optoporation.

Kamal Dhakal, Bryan Black, Samarendra Mohanty

Abstract read
In one paragraph

Article in Scientific reports, 2014. 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
–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

12 citing papers in PubMed.

  1. Article
  2. Silactins and Structural Diversity of Biosilica in Sponges.Biomimetics (Basel, Switzerland) · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
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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.

Kamal DhakalBiophysics and Physiology Lab, Department of Physics, University of Texas at Arlington, Texas, USA.
Bryan BlackBiophysics and Physiology Lab, Department of Physics, University of Texas at Arlington, Texas, USA.
Samarendra MohantyBiophysics and Physiology Lab, Department of Physics, University of Texas at Arlington, Texas, USA.

Funding

All optical control and monitoring of neural activityR21NS084311 · NINDS · UNIVERSITY OF TEXAS ARLINGTON · PI DAVE, DIGANT P · 2013 to 2014
$382k
NINDS NIH HHS NS084311NINDS NIH HHS R21 NS084311
6 · The paper itself

Abstract

The selective insertion of foreign materials, such as fluorescent markers or plasmids, into living cells has been a challenging problem in cell biology due to the cell membrane's selective permeability. However, it is often necessary that researchers insert such materials into cells for various dynamical and/or drug delivery studies. This problem becomes even more challenging if the study is to be limited to specific cells within a larger population, since other transfection methods, such as viral transfection and lipofection, are not realizable with a high degree of spatial selectivity. Here, we have used a focused femtosecond laser beam to create a small transient hole in the cellular membrane (optoporation) in order to inject nanomolar concentrations of rhodamine phalloidin (an impermeable dye molecule for staining filamentous actin) into targeted living mammalian cells (both HEK and primary cortical neurons). Following optoporation, the dye bound to the intracellular actin network and rise in fluorescence intensity was observed. Theoretical dynamics of the dye's diffusion is discussed, and numerical simulations of diffusion time constants are found to match well with experimental values.

Indexed as

LasersTransfectionActin CytoskeletonAnimalsCell Membrane PermeabilityDrug Delivery SystemsHEK293 CellsHumansNeuronsPhalloidineRhodaminesPhalloidineRhodamines

Identifiers

PMID25315642
PMCPMC4197434

What OpenQuestion holds

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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.