Evidence map›Paper›PMID 32208812›Full record

ArticleToxicology mechanisms and methods2020

Automated lipid droplet quantification system for phenotypic analysis of adipocytes using CellProfiler.

Victoria Adomshick, Yong Pu, Almudena Veiga-Lopez

Open access · greenAbstract read
In one paragraph

Article in Toxicology mechanisms and methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
6.3field-weighted citation impact, top 4% 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

39 citing papers in PubMed, 61 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

3 authors at 1 institution in 1 country.

Victoria AdomshickDepartment of Animal Science, Michigan State University, East Lansing, MI, USA.
Yong PuDepartment of Animal Science, Michigan State University, East Lansing, MI, USA.
Almudena Veiga-LopezDepartment of Animal Science, Michigan State University, East Lansing, MI, USA.ORCID http://orcid.org/0000-0002-0308-7231
Michigan State University · US

Funding

Placental adaptive mechanisms to environmental exposures.R01ES027863 · NIEHS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI VEIGA-LOPEZ, ALMUDENA · 2018 to 2022
$1.9M
Environmental Programming of Insulin ResistanceK22ES026208 · NIEHS · MICHIGAN STATE UNIVERSITY · PI VEIGA-LOPEZ, ALMUDENA · 2016 to 2018
$464k
NIEHS NIH HHS K22 ES026208NIEHS NIH HHS R01 ES027863
6 · The paper itself

Abstract

Adipogenic differentiation is the process by which preadipocytes become mature adipocytes, cells that store energy and regulate metabolic homeostasis. During differentiation, neutral lipids that accumulate in adipocytes can be detected using stains and used as an index of cell differentiation. However, imaging tools for evaluating intracellular lipid droplets remain at their infancy. Nutrition, stress, or chemical exposure can dysregulate adipogenic differentiation and lipid metabolism. Therefore, the aims of this study were to develop an accurate, standardized approach to quantify lipid droplet size of mature adipocytes and a clustering approach to analyze the total lipid content per adipocyte. For the lipid droplet analysis, we used two approaches, the free online computer software of reference, ImageJ, and another free online computer software, CellProfiler. For ImageJ, we used an already developed macro designed to identify particles and quantify their area, and for CellProfiler, we developed a new analysis pipeline. Our results show that CellProfiler is able to accurately identify a greater number of lipid droplets compared to ImageJ. A clustering analysis is also possible using CellProfiler which allows for the quantification of total lipid content per individual adipocyte to provide insight into single-cell responsiveness to adipogenic stimuli. CellProfiler streamlines the lipid droplet phenotypic analysis of adipocytes compared to more traditional analysis methods. In conclusion, this novel image analysis tool can provide a more precise evaluation of lipid droplet and adipogenesis dysregulation, a critical need in the understanding of metabolic disorders.

Indexed as

AdipocytesLipid Metabolism3T3-L1 CellsAdipogenesisAnimalsBoron CompoundsFluorescent DyesImage Processing, Computer-AssistedLipid DropletsMiceMicroscopy, FluorescenceSoftware4,4-difluoro-4-bora-3a,4a-diaza-s-indaceneBoron CompoundsFluorescent DyesAdipocyteimage segmentationlipid dropletquantitative analyses

Identifiers

PMID32208812
PMCPMC7533149
OpenAlexW3013007519

What OpenQuestion holds

Textmetadata
LicenceTDM
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.