Evidence map›Paper›PMID 25278844›Full record

ArticleFrontiers in neural circuits2014

Network analysis of time-lapse microscopy recordings.

Erik Smedler, Seth Malmersjö, Per Uhlén

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neural circuits, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
6.2field-weighted citation impact, top 4% 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

22 citing papers in PubMed, 38 citations in OpenAlex.

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  6. Formation of recurring transient CaProceedings of the National Academy of Sciences of the United States of America · 2024
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  7. Maintenance of hematopoietic stem cell niche homeostasis requires gap junction-mediated calcium signaling.Proceedings of the National Academy of Sciences of the United States of America · 2023
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  10. Small-world connectivity dictates collective endothelial cell signaling.Proceedings of the National Academy of Sciences of the United States of America · 2022
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  11. DisruptedProceedings of the National Academy of Sciences of the United States of America · 2022
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  12. Review
  13. Adaptive Resetting of Tuberoinfundibular Dopamine (TIDA) Network Activity during Lactation in Mice.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
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  14. Review
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  17. PTEN Loss Increases the Connectivity of Fast Synaptic Motifs and Functional Connectivity in a Developing Hippocampal Network.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017
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  18. Article
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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 at 2 institutions in 2 countries.

Erik SmedlerUnit of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet Stockholm, Sweden.
Seth MalmersjöDepartment of Chemical and Systems Biology, School of Medicine, Stanford University Stanford, CA, USA.
Per UhlénUnit of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet Stockholm, Sweden.
Karolinska Institutet · SEStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multicellular organisms rely on intercellular communication to regulate important cellular processes critical to life. To further our understanding of those processes there is a need to scrutinize dynamical signaling events and their functions in both cells and organisms. Here, we report a method and provide MATLAB code that analyzes time-lapse microscopy recordings to identify and characterize network structures within large cell populations, such as interconnected neurons. The approach is demonstrated using intracellular calcium (Ca(2+)) recordings in neural progenitors and cardiac myocytes, but could be applied to a wide variety of biosensors employed in diverse cell types and organisms. In this method, network structures are analyzed by applying cross-correlation signal processing and graph theory to single-cell recordings. The goal of the analysis is to determine if the single cell activity constitutes a network of interconnected cells and to decipher the properties of this network. The method can be applied in many fields of biology in which biosensors are used to monitor signaling events in living cells. Analyzing intercellular communication in cell ensembles can reveal essential network structures that provide important biological insights.

Indexed as

MicroscopyTime-Lapse ImagingAnimalsCalciumCell CommunicationCells, CulturedEmbryo, MammalianExtracellular FluidMiceModels, NeurologicalNerve NetNeural Stem CellsNeuronsSoftwareStatistics as TopicTime FactorsCalciumcalcium signalingcross correlationgraph theorynetworksneural networksscale-freesmall-world

Identifiers

PMID25278844
PMCPMC4166320
OpenAlexW2020606062

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.