Evidence map›Paper›PMID 26657340›Full record

ArticlePLoS computational biology2015

MIiSR: Molecular Interactions in Super-Resolution Imaging Enables the Analysis of Protein Interactions, Dynamics and Formation of Multi-protein Structures.

Fabiana A Caetano, Brennan S Dirk, Joshua H K Tam, P Craig Cavanagh, Maria Goiko, Stephen S G Ferguson, Stephen H Pasternak, Jimmy D Dikeakos, John R de Bruyn, Bryan Heit

Abstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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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

10 authors.

Fabiana A CaetanoThe J. Allyn Taylor Centre for Cell Biology, Robarts Research Institute and the Department of Physiology and Pharmacology, The University of Western Ontario, London, Ontario, Canada.
Brennan S DirkDepartment of Microbiology and Immunology, The University of Western Ontario, London, Ontario, Canada.
Joshua H K TamThe J. Allyn Taylor Centre for Cell Biology, Robarts Research Institute and the Department of Physiology and Pharmacology, The University of Western Ontario, London, Ontario, Canada.
P Craig CavanaghDepartment of Microbiology and Immunology, The University of Western Ontario, London, Ontario, Canada.
Maria GoikoDepartment of Microbiology and Immunology, The University of Western Ontario, London, Ontario, Canada.
Stephen S G FergusonCellular and Molecular Medicine, University of Ottawa, Ottawa, Ontario, Canada.
Stephen H PasternakThe J. Allyn Taylor Centre for Cell Biology, Robarts Research Institute and the Department of Physiology and Pharmacology, The University of Western Ontario, London, Ontario, Canada.
Jimmy D DikeakosDepartment of Microbiology and Immunology, The University of Western Ontario, London, Ontario, Canada.
John R de BruynDepartment of Physics and Astronomy, The University of Western Ontario, London, Ontario, Canada.
Bryan HeitDepartment of Microbiology and Immunology, The University of Western Ontario, London, Ontario, Canada.

Funding

Canadian Institutes of Health Research MOP 111093Canadian Institutes of Health Research MOP 119437Canadian Institutes of Health Research MOP-123419Canadian Institutes of Health Research MOP 130465Canadian Institutes of Health Research MOP 82890
6 · The paper itself

Abstract

Our current understanding of the molecular mechanisms which regulate cellular processes such as vesicular trafficking has been enabled by conventional biochemical and microscopy techniques. However, these methods often obscure the heterogeneity of the cellular environment, thus precluding a quantitative assessment of the molecular interactions regulating these processes. Herein, we present Molecular Interactions in Super Resolution (MIiSR) software which provides quantitative analysis tools for use with super-resolution images. MIiSR combines multiple tools for analyzing intermolecular interactions, molecular clustering and image segmentation. These tools enable quantification, in the native environment of the cell, of molecular interactions and the formation of higher-order molecular complexes. The capabilities and limitations of these analytical tools are demonstrated using both modeled data and examples derived from the vesicular trafficking system, thereby providing an established and validated experimental workflow capable of quantitatively assessing molecular interactions and molecular complex formation within the heterogeneous environment of the cell.

Indexed as

Models, BiologicalSoftwareAlgorithmsComputer GraphicsComputer SimulationImage Interpretation, Computer-AssistedModels, ChemicalMolecular ImagingMultiprotein ComplexesProtein Interaction MappingReproducibility of ResultsSensitivity and SpecificityUser-Computer InterfaceMultiprotein Complexes

Identifiers

PMID26657340
PMCPMC4676698

What OpenQuestion holds

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LicenceCC BY
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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.