Evidence map›Paper›PMID 36512439›Full record

ArticleAnalytical chemistry2022

Intracellular Dynamics of Extracellular Vesicles by Segmented Trajectory Analysis.

Kaisa Rautaniemi, Thomas John, Maximilian Richter, Benedikt C Huck, Jacopo Zini, Brigitta Loretz, Claus-Michael Lehr, Elina Vuorimaa-Laukkanen, Ekaterina Lisitsyna, Timo Laaksonen

Open access · hybridAbstract read
In one paragraph

Article in Analytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 4 institutions in 2 countries.

Kaisa RautaniemiChemistry and Advanced Materials, Faculty of Engineering and Natural Sciences, Tampere University, Korkeakoulunkatu 8, 33720Tampere, Finland.ORCID 0000-0002-8665-4173
Thomas JohnExperimental Physics, Saarland University, 66123Saarbrücken, Germany.
Maximilian RichterHelmholtz Institute for Pharmaceutical Research Saarland (HIPS), Saarland University, Campus E8 1, 66123Saarbrücken, Germany.
Benedikt C HuckHelmholtz Institute for Pharmaceutical Research Saarland (HIPS), Saarland University, Campus E8 1, 66123Saarbrücken, Germany.
Jacopo ZiniDrug Research Program, Division of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, Viikinkaari 5, 00790Helsinki, Finland.
Brigitta LoretzHelmholtz Institute for Pharmaceutical Research Saarland (HIPS), Saarland University, Campus E8 1, 66123Saarbrücken, Germany.
Claus-Michael LehrHelmholtz Institute for Pharmaceutical Research Saarland (HIPS), Saarland University, Campus E8 1, 66123Saarbrücken, Germany.ORCID 0000-0002-5864-8462
Elina Vuorimaa-LaukkanenChemistry and Advanced Materials, Faculty of Engineering and Natural Sciences, Tampere University, Korkeakoulunkatu 8, 33720Tampere, Finland.
Ekaterina LisitsynaChemistry and Advanced Materials, Faculty of Engineering and Natural Sciences, Tampere University, Korkeakoulunkatu 8, 33720Tampere, Finland.
Timo LaaksonenChemistry and Advanced Materials, Faculty of Engineering and Natural Sciences, Tampere University, Korkeakoulunkatu 8, 33720Tampere, Finland.
Helmholtz Institute for Pharmaceutical Research Saarland · DETampere University · FIUniversity of Helsinki · FISaarland University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The analysis of nanoparticle (NP) dynamics in live cell studies by video tracking provides detailed information on their interactions and trafficking in the cells. Although the video analysis is not yet routinely used in NP studies, the equipment suitable for the experiments is already available in most laboratories. Here, we compare trajectory patterns, diffusion coefficients, and particle velocities of NPs in A549 cells with a rather simple experimental setup consisting of a fluorescence microscope and openly available trajectory analysis software. The studied NPs include commercial fluorescent polymeric particles and two subpopulations of PC-3 cell-derived extracellular vesicles (EVs). As bioderived natural nanoparticles, the fluorescence intensities of the EVs limited the recording speed. Therefore, we studied the effect of the recording frame rate and analysis parameters to the trajectory results with bright fluorescent commercial NPs. We show that the trajectory classification and the apparent particle velocities are affected by the recording frame rate, while the diffusion constants stay comparable. The NP trajectory patterns were similar for all NP types and resembled intracellular vesicular transport. Interestingly, the EV movements were faster than the commercial NPs, which contrasts with their physical sizes and may indicate a greater role of the motor proteins in their intracellular transports.

Indexed as

Extracellular VesiclesNanoparticlesA549 CellsFluorescent DyesHumansMicroscopy, FluorescenceFluorescent Dyes

Identifiers

PMID36512439
PMCPMC9798377
OpenAlexW4311285523

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.