Evidence map›Paper›PMID 39699727›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Methods for Visualizing and Quantifying Cholesterol Distribution in Mammalian Cells Using Filipin and D4 Probes.

Julie Eichler, Sophie Huver, Céline J Knorr, Corinne Wendling, Toshihide Kobayashi, Catherine Tomasetto, Fabien Alpy

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

7 authors.

Julie EichlerInstitut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), UMR 7104, CNRS, Inserm, Université de Strasbourg, Illkirch, France.
Sophie HuverInstitut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), UMR 7104, CNRS, Inserm, Université de Strasbourg, Illkirch, France.
Céline J KnorrInstitut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), UMR 7104, CNRS, Inserm, Université de Strasbourg, Illkirch, France.
Corinne WendlingInstitut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), UMR 7104, CNRS, Inserm, Université de Strasbourg, Illkirch, France.
Toshihide KobayashiLaboratoire de Bioimagerie et Pathologies, UMR 7021 CNRS, Faculté de Pharmacie, Université de Strasbourg, Illkirch, France.
Catherine TomasettoInstitut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), UMR 7104, CNRS, Inserm, Université de Strasbourg, Illkirch, France.
Fabien AlpyInstitut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), UMR 7104, CNRS, Inserm, Université de Strasbourg, Illkirch, France. Fabien.Alpy@igbmc.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cholesterol is a key component of biological membranes and, like many cellular lipids, is unevenly distributed among organelles. Disruptions in cholesterol trafficking are associated with various pathologies, including lysosomal lipid storage disorders, often characterized by intracellular cholesterol accumulation. A significant challenge in studying cholesterol trafficking is the lack of easy methods to trace this molecule in situ. Fluorescent probes that specifically bind cholesterol have enabled the visualization and imaging of cholesterol distribution within cells. This chapter details optimized methods for visualizing and quantifying free cholesterol at the plasma membrane and intracellulaly, both in individual cells and in large cell populations. These methods use two fluorescent probes: the D4 fragment of perfringolysin O fused to monomeric EGFP (mEGFP-D4 and the more sensitive mutant mEGFP-D4H) and the polyene macrolide filipin. We describe robust methods for quantifying plasma membrane cholesterol by flow cytometry and to visualize intracellular cholesterol pools by light microscopy. Furthermore, we introduce a refined filipin staining protocol that enhances intracellular cholesterol detection. For precise quantification, we developed an automated image analysis pipeline. This chapter provides a comprehensive guide for staining and quantifying cellular cholesterol, offering valuable tools for studying cholesterol dynamics in mammalian cells.

Indexed as

Cell MembraneCholesterolFilipinFluorescent DyesAnimalsBacterial ToxinsFlow CytometryGreen Fluorescent ProteinsHemolysin ProteinsHumansStaining and LabelingBacterial ToxinsCholesterolClostridium perfringens theta-toxinenhanced green fluorescent proteinFilipinFluorescent DyesGreen Fluorescent ProteinsHemolysin ProteinsCholesterolD4 probeFilipinLate endosomeLysosomePerfringolysin OPlasma membrane

Identifiers

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.