Evidence map›Paper›PMID 20858446›Full record

ArticleBiophysical journal2010

Multi-image colocalization and its statistical significance.

Patrick A Fletcher, David R L Scriven, Meredith N Schulson, Edwin D W Moore

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
3.8field-weighted citation impact, top 8% 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

35 citing papers in PubMed, 57 citations in OpenAlex.

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  10. Modifying the mMolecular psychiatry · 2021
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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

4 authors at 1 institution in 1 country.

Patrick A FletcherDepartment of Cellular and Physiological Sciences, University of British Columbia, Vancouver, British Columbia, Canada.
David R L Scriven
Meredith N Schulson
Edwin D W Moore
University of British Columbia · CA

Funding

Regulation of Cardiac Calcium Channels by an Autoinhibitory Signalling ComplexR01HL085372 · NHLBI · UNIVERSITY OF WASHINGTON · PI CATTERALL, WILLIAM A · 2007 to 2016
$3.5M
CIHR MOP12875NHLBI NIH HHS R01 HL085372
6 · The paper itself

Abstract

Accurately localizing molecules within the cell is one of main tasks of modern biology, and colocalization analysis is one of its principal and most often used tools. Despite this popularity, interpretation is often uncertain because colocalization between two or more images is rarely analyzed to determine whether the observed values could have occurred by chance. To address this, we have developed a robust methodology, based on Monte Carlo randomization, to measure the statistical significance of a colocalization. The method works with voxel-based, intensity-based, object-based, and nearest-neighbor metrics. We extend all of these to measure colocalization in images with three colors. We also introduce three new metrics; blob colocalization, where the blob consists of a local maximum surrounded by a three-dimensional group of voxels; cluster diameter, to measure the clustering of fluorophores in three or more images; and the intercluster distance to measure the distance between these clusters. The robustness of these metrics was tested by varying the image thresholds over a broad range, which produced no change in the statistical significance of the colocalizations. A comparison of blob colocalization with voxel and Manders colocalization metrics shows that the different measures produce consistent results with similar values for significance and nonsignificance. Using our methodology, we are able to determine not only whether the labeled molecules colocalize with a probability greater than chance, but also whether they are sequestrated into different compartments. The program, written in C++, is freely available as source, as well as in a Linux version.

Indexed as

AnimalsCalcium Channels, L-TypeHeart AtriaMolecular ImagingMonte Carlo MethodMuscle CellsRatsRats, WistarRyanodine Receptor Calcium Release ChannelCalcium Channels, L-TypeL-type calcium channel alpha(1C)Ryanodine Receptor Calcium Release Channel

Identifiers

PMID20858446
PMCPMC2941013
OpenAlexW2053106661

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.