Evidence map›Paper›PMID 28448054›Full record

ArticleJournal of visualized experiments : JoVE2017

Lipid Droplet Isolation for Quantitative Mass Spectrometry Analysis.

Kathrin Rösch, Marcel Kwiatkowski, Hartmut Schlüter, Eva Herker

Open access · bronzeAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Lipid droplets as cell fate determinants in skeletal muscle.Trends in endocrinology and metabolism: TEM · 2025
    Review
  3. Review
  4. Article
  5. Review
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 at 3 institutions in 1 country.

Kathrin RöschHeinrich Pette Institute, Leibniz Institute for Experimental Virology.
Marcel KwiatkowskiCore Facility Mass Spectrometric Proteomics, University Medical Center Hamburg-Eppendorf.
Hartmut SchlüterCore Facility Mass Spectrometric Proteomics, University Medical Center Hamburg-Eppendorf.
Eva HerkerHeinrich Pette Institute, Leibniz Institute for Experimental Virology; eva.herker@hpi.uni-hamburg.de.
Leibniz Institute of Virology (LIV) · DEUniversität Hamburg · DEUniversity Medical Center Hamburg-Eppendorf · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipid droplets are vital to the replication of a variety of different pathogens, most prominently the Hepatitis C Virus (HCV), as the putative site of virion morphogenesis. Quantitative lipid droplet proteome analysis can be used to identify proteins that localize to or are displaced from lipid droplets under conditions such as virus infections. Here, we describe a protocol that has been successfully used to characterize the changes in the lipid droplet proteome following infection with HCV. We use Stable Isotope Labeling with Amino Acids in Cell Culture (SILAC) and thus label the complete proteome of one population of cells with "heavy" amino acids to quantitate the proteins by mass spectrometry. For lipid droplet isolation, the two cell populations (i.e. HCV-infected/"light" amino acids and uninfected control/"heavy" amino acids) are mixed 1:1 and lysed mechanically in hypotonic buffer. After removing the nuclei and cell debris by low speed centrifugation, lipid droplet-associated proteins are enriched by two subsequent ultracentrifugation steps followed by three washing steps in isotonic buffer. The purity of the lipid droplet fractions is analyzed by western blotting with antibodies recognizing different subcellular compartments. Lipid droplet-associated proteins are then separated by SDS-polyacrylamide gel electrophoresis (SDS-PAGE) followed by Coomassie staining. After tryptic digest, the peptides are quantified by liquid chromatography-electrospray ionization-tandem mass spectrometry (LC-ESI-MS/MS). Using this method, we identified proteins recruited to lipid droplets upon HCV infection that might represent pro- or antiviral host factors. Our method can be applied to a variety of different cells and culture conditions, such as infection with pathogens, environmental stress, or drug treatment.

Indexed as

Amino AcidsCell Culture TechniquesCell LineChromatography, LiquidElectrophoresis, Polyacrylamide GelHepatitis CHumansIsotope LabelingLipid DropletsPeptidesProteomeProteomicsSpectrometry, Mass, Electrospray IonizationTandem Mass SpectrometryAmino AcidsPeptidesProteome

Identifiers

PMID28448054
PMCPMC5564943
OpenAlexW2607139047

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.