Evidence map›Paper›PMID 21960972›Full record

ArticleFrontiers in physiology2011

Physiological environment induces quick response - slow exhaustion reactions.

Noriko Hiroi, James Lu, Keisuke Iba, Akito Tabira, Shuji Yamashita, Yasunori Okada, Christoph Flamm, Kotaro Oka, Gottfried Köhler, Akira Funahashi

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. How it feels in a cell.Trends in cell biology · 2023
    Review
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  3. Review
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  5. Hybrid spatial Gillespie and particle tracking simulation.Bioinformatics (Oxford, England) · 2012
    Article
  6. From microscopy data to in silico environments for in vivo-oriented simulations.EURASIP journal on bioinformatics & systems biology · 2012
    Article
  7. Article
  8. Spatial simulations in systems biology: from molecules to cells.International journal of molecular sciences · 2012
    Review
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 1 institution in 1 country.

Noriko HiroiDepartment of Biosciences and Informatics, Keio University Yokohama, Japan.
James Lu
Keisuke Iba
Akito Tabira
Shuji Yamashita
Yasunori Okada
Christoph Flamm
Kotaro Oka
Gottfried Köhler
Akira Funahashi
Keio University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In vivo environments are highly crowded and inhomogeneous, which may affect reaction processes in cells. In this study we examined the effects of intracellular crowding and an inhomogeneity on the behavior of in vivo reactions by calculating the spectral dimension (d(s)), which can be translated into the reaction rate function. We compared estimates of anomaly parameters obtained from fluorescence correlation spectroscopy (FCS) data with fractal dimensions derived from transmission electron microscopy (TEM) image analysis. FCS analysis indicated that the anomalous property was linked to physiological structure. Subsequent TEM analysis provided an in vivo illustration; soluble molecules likely percolate between intracellular clusters, which are constructed in a self-organizing manner. We estimated a cytoplasmic spectral dimension d(s) to be 1.39 ± 0.084. This result suggests that in vivo reactions initially run faster than the same reactions in a homogeneous space; this conclusion is consistent with the anomalous character indicated by FCS analysis. We further showed that these results were compatible with our Monte-Carlo simulation in which the anomalous behavior of mobile molecules correlates with the intracellular environment, leading to description as a percolation cluster, as demonstrated using TEM analysis. We confirmed by the simulation that the above-mentioned in vivo like properties are different from those of homogeneously concentrated environments. Additionally, simulation results indicated that crowding level of an environment might affect diffusion rate of reactant. Such knowledge of the spatial information enables us to construct realistic models for in vivo diffusion and reaction systems.

Indexed as

anomalous diffusiondiffusion-limited aggregationfractal dimensionintracellular crowdinginvasive percolationspectral dimension

Identifiers

PMID21960972
PMCPMC3177084
OpenAlexW1991989798

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.