Evidence map›Paper›PMID 40193291›Full record

ArticleJournal of visualized experiments : JoVE2025

Lipid Exchange Assay in Living Cells.

Sanjna Rana, Antonio Torlentino, Pavana Suresh, W Todd Miller, Erwin London

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Sanjna Rana *Department of Physiology and Biophysics, Stony Brook University.
Antonio Torlentino *Department of Physiology and Biophysics, Stony Brook University; antonio.torlentino@stonybrook.edu.
Pavana SureshProgram in Cellular and Molecular Medicine, Boston Children's Hospital, Harvard Medical School.
W Todd MillerDepartment of Physiology and Biophysics, Stony Brook University.
Erwin LondonDepartment of Biochemistry and Cell Biology, Stony Brook University.

Funding

TRANSFORMATIVE LIPID EXCHANGE APPROACHES TO STUDY MEMBRANE ORGANIZATIONR35GM122493 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI Erwin London · 2017 to 2026
$5.6M
BLRD VA I01 BX006248NIGMS NIH HHS R35 GM122493
6 · The paper itself

Abstract

Lipid rafts are dynamic, ordered domains in the plasma membrane often formed during membrane protein clustering and signaling. The lipid identity of the outer leaflet drives the membrane's propensity to form lipid rafts. The transient nature of lipid rafts makes it difficult to study in living cells. Therefore, methods that add or remove raft-forming lipids at the outer leaflet of living cells facilitate studying the characteristics of rafts, such as their effects on membrane proteins. Lipid exchange experiments developed in our lab utilize lipid-loaded cyclodextrins to remove and add exogenous phospholipids to change the lipid constitution of the plasma membrane. Substituting the membrane with a raft or non-raft-forming lipid can aid in studying the effects on transmembrane protein activity. Here, we describe a method for lipid exchange on the outer leaflet of the plasma membrane using lipid-loaded cyclodextrin. We demonstrate the preparation of the exchange media and the subsequent treatment of attached mammalian cells. We also showcase how to measure the efficiency of exchange using HP-TLC. This protocol yields a nearly complete replacement of the outer leaflet with exogenous lipids without altering cellular viability, permitting further experimentation on modified intact plasma membranes.

Indexed as

Membrane LipidsMembrane MicrodomainsAnimalsCell MembraneCyclodextrinsHumansCyclodextrinsMembrane Lipids

Identifiers

PMID40193291
PMCPMC12744397

What OpenQuestion holds

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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.