Evidence map›Paper›PMID 26330056›Full record

ArticleJournal of lipid research2015

LipiD-QuanT: a novel method to quantify lipid accumulation in live cells.

Hilal Varinli, Megan J Osmond-McLeod, Peter L Molloy, Pascal Vallotton

Abstract read
In one paragraph

Article in Journal of lipid research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  4. Protein and lipid mass concentration measurement in tissues by stimulated Raman scattering microscopy.Proceedings of the National Academy of Sciences of the United States of America · 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

4 authors.

Hilal VarinliCSIRO Food and Nutrition Flagship, North Ryde, New South Wales, Australia Department of Biological Sciences, Macquarie University, North Ryde, New South Wales, Australia Genomics and Epigenetics Division, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.
Megan J Osmond-McLeodCSIRO Food and Nutrition Flagship, North Ryde, New South Wales, Australia CSIRO Advanced Materials TCP (Nanosafety), North Ryde, New South Wales, Australia.
Peter L MolloyCSIRO Food and Nutrition Flagship, North Ryde, New South Wales, Australia.
Pascal VallottonCSIRO Digital Productivity Flagship, North Ryde, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipid droplets (LDs) are the main storage organelles for triglycerides. Elucidation of lipid accumulation mechanisms and metabolism are essential to understand obesity and associated diseases. Adipogenesis has been well studied in murine 3T3-L1 and human Simpson-Golabi-Behmel syndrome (SGBS) preadipocyte cell lines. However, most techniques for measuring LD accumulation are either not quantitative or can be destructive to samples. Here, we describe a novel, label-free LD quantification technique (LipiD-QuanT) to monitor lipid dynamics based on automated image analysis of phase contrast microscopy images acquired during in vitro human adipogenesis. We have applied LipiD-QuanT to measure LD accumulation during differentiation of SGBS cells. We demonstrate that LipiD-QuanT is a robust, nondestructive, time- and cost-effective method compared with other triglyceride accumulation assays based on enzymatic digest or lipophilic staining. Further, we applied LipiD-QuanT to measure the effect of four potential pro- or antiobesogenic substances: DHA, rosiglitazone, elevated levels of D-glucose, and zinc oxide nanoparticles. Our results revealed that 2 µmol/l rosiglitazone treatment during adipogenesis reduced lipid production and caused a negative shift in LD diameter size distribution, but the other treatments showed no effect under the conditions used here.

Indexed as

AdipogenesisAnti-Obesity AgentsCell LineDrug Evaluation, PreclinicalHumansLipid DropletsLipid MetabolismRosiglitazoneStaining and LabelingThiazolidinedionesAnti-Obesity AgentsRosiglitazoneThiazolidinedionesadipocytesglucoselabel-free image analysislipid dropletobesityomega-3-fatty acidsrosiglitazoneSGBStriglycerideszinc oxide nanoparticles

Identifiers

PMID26330056
PMCPMC4617407

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.