Evidence map›Paper›PMID 23381680›Full record

ArticleHistochemistry and cell biology2013

A novel method for quantified, superresolved, three-dimensional colocalisation of isotropic, fluorescent particles.

Boguslaw Obara, Asma Jabeen, Nelson Fernandez, Pierre Philippe Laissue

Abstract read
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In one paragraph

Article in Histochemistry and cell biology, 2013. 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
–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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Knockdown of CD-74 in the Proliferative and Apoptotic Activity of Breast Cancer Cells.Open access Macedonian journal of medical sciences · 2019
    Article
  4. Article
  5. Heterologous regulation of CXCR4 lysosomal trafficking.The Journal of biological chemistry · 2019
    Article
  6. Article
  7. Article
  8. 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

4 authors.

Boguslaw ObaraSchool of Engineering and Computing Sciences, University of Durham, Durham DH1 3LE, UK. boguslaw.obara@durham.ac.uk
Asma Jabeen
Nelson Fernandez
Pierre Philippe Laissue

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colocalisation, the overlap of subcellular structures labelled with different colours, is a key step to characterise cellular phenotypes. We have developed a novel bioimage informatics approach for quantifying colocalisation of round, blob-like structures in two-colour, highly resolved, three-dimensional fluorescence microscopy datasets. First, the algorithm identifies isotropic fluorescent particles, of relative brightness compared to their immediate neighbourhood, in three dimensions and for each colour. The centroids of these spots are then determined, and each object in one location of a colour image is checked for a corresponding object in the other colour image. Three-dimensional distance maps between the centroids of differently coloured spots then display where and how closely they colocalise, while histograms allow to analyse all colocalisation distances. We use the method to reveal sparse colocalisation of different human leukocyte antigen receptors in choriocarcinoma cells. It can also be applied to other isotropic subcellular structures such as vesicles, aggresomes and chloroplasts. The simple, robust and fast approach yields superresolved, object-based colocalisation maps and provides a first indication of protein-protein interactions of fluorescent, isotropic particles.

Indexed as

AlgorithmsChoriocarcinomaColorFluorescenceFluorescent DyesHLA AntigensHumansImaging, Three-DimensionalMicroscopy, FluorescenceProtein BindingProtein Interaction MappingReceptors, AntigenTumor Cells, CulturedFluorescent DyesHLA AntigensReceptors, Antigen

Identifiers

What OpenQuestion holds

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Registered trials

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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.