Evidence map›Paper›PMID 32603371›Full record

ArticlePLoS computational biology2020

Statistical analysis of 3D localisation microscopy images for quantification of membrane protein distributions in a platelet clot model.

Sandra Mayr, Fabian Hauser, Sujitha Puthukodan, Markus Axmann, Janett Göhring, Jaroslaw Jacak

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Sandra MayrUniversity of Applied Sciences Upper Austria, Linz, Austria.
Fabian HauserUniversity of Applied Sciences Upper Austria, Linz, Austria.
Sujitha PuthukodanJohannes Kepler University Linz, Linz, Austria.
Markus AxmannUniversity of Applied Sciences Upper Austria, Linz, Austria.
Janett GöhringCenter for Pathophysiology, Infectiology and Immunology, Institute for Hygiene and Applied Immunology, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-6755-5305
Jaroslaw JacakUniversity of Applied Sciences Upper Austria, Linz, Austria.ORCID 0000-0002-4989-1276
University of Applied Sciences Upper Austria · ATJohannes Kepler University of Linz · ATMedical University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present the software platform 2CALM that allows for a comparative analysis of 3D localisation microscopy data representing protein distributions in two biological samples. The in-depth statistical analysis reveals differences between samples at the nanoscopic level using parameters such as cluster-density and -curvature. An automatic classification system combines multiplex and multi-level statistical approaches into one comprehensive parameter for similarity testing of the compared samples. We demonstrated the biological importance of 2CALM, comparing the protein distributions of CD41 and CD62p on activated platelets in a 3D artificial clot. Additionally, using 2CALM, we quantified the impact of the inflammatory cytokine interleukin-1β on platelet activation in clots. The platform is applicable to any other cell type and biological system and can provide new insights into biological and medical applications.

Indexed as

Models, BiologicalBlood PlateletsHumansMachine LearningMembrane ProteinsMicroscopyProof of Concept StudyP-SelectinThrombosisMembrane ProteinsP-SelectinSELP protein, human

Identifiers

PMID32603371
PMCPMC7384682
OpenAlexW3038600977

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.