Evidence map›Paper›PMID 30926625›Full record

ArticleJournal of lipid research2019

Lipid droplet quantification based on iterative image processing.

Tarik Exner, Carlo A Beretta, Qi Gao, Cassian Afting, Inés Romero-Brey, Ralf Bartenschlager, Leonard Fehring, Margarete Poppelreuther, Joachim Füllekrug

Open access · hybridAbstract read
In one paragraph

Article in Journal of lipid research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 16% 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

15 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
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  3. RER1 regulates lipid metabolism in monocytes and macrophages.Cellular and molecular life sciences : CMLS · 2025
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  12. Rotavirus-Mediated Prostaglandin EFrontiers in physiology · 2022
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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

9 authors at 1 institution in 1 country.

Tarik ExnerMolecular Cell Biology Laboratory Internal Medicine IV, Heidelberg University, Heidelberg, Germany Tarik.Exner@med.uni-heidelberg.de.
Carlo A BerettaCellNetworks Math-Clinic Core Facility, BioQuant Heidelberg University, Heidelberg, Germany.
Qi GaoCellNetworks Math-Clinic Core Facility, BioQuant Heidelberg University, Heidelberg, Germany.
Cassian AftingMolecular Cell Biology Laboratory Internal Medicine IV, Heidelberg University, Heidelberg, Germany.
Inés Romero-BreyDepartment of Infectious Diseases, Molecular Virology Heidelberg University, Heidelberg, Germany.
Ralf BartenschlagerDepartment of Infectious Diseases, Molecular Virology Heidelberg University, Heidelberg, Germany.
Leonard FehringMolecular Cell Biology Laboratory Internal Medicine IV, Heidelberg University, Heidelberg, Germany.
Margarete PoppelreutherMolecular Cell Biology Laboratory Internal Medicine IV, Heidelberg University, Heidelberg, Germany.
Joachim FüllekrugMolecular Cell Biology Laboratory Internal Medicine IV, Heidelberg University, Heidelberg, Germany.
Heidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipid droplets (LDs) are ubiquitous and highly dynamic subcellular organelles required for the storage of neutral lipids. LD number and size distribution are key parameters affected not only by nutrient supply but also by lipotoxic stress and metabolic regulation. Current methods for LD quantification lack general applicability and are either based on time consuming manual evaluation or show limitations if LDs are high in numbers or closely clustered. Here, we present an ImageJ-based approach for the detection and quantification of LDs stained by neutral lipid dyes in images acquired by conventional wide-field fluorescence microscopy. The method features an adjustable preprocessing procedure that resolves LD clusters. LD identification is based on their circular edges and central fluorescence intensity maxima. Adaptation to different cell types is mediated by a set of interactive parameters. Validation was done for three different cell lines using manual evaluation of LD numbers and volume measurement by 3D rendering of confocal datasets. In an application example, we show that overexpression of the acyl-CoA synthetase, FATP4/ACSVL5, in oleate-treated COS7 cells increased the size of LDs but not their number.

Indexed as

AnimalsCell LineChlorocebus aethiopsCOS CellsEndoplasmic ReticulumFatty AcidsHumansLipid MetabolismMicroscopy, ConfocalMicroscopy, FluorescenceTriglyceridesFatty AcidsTriglyceridesendoplasmic reticulumfatty acid/metabolismfluorescence microscopyImageJ/Fijiimage quantificationtriglycerides

Identifiers

PMID30926625
PMCPMC6602134
OpenAlexW2934483347

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.