Evidence map›Paper›PMID 38779885›Full record

ArticleCurrent protocols2024

Super-Resolution Imaging of Clickable Lipids With Lipid Expansion Microscopy (LExM).

Brittany M White-Mathieu, Jeremy M Baskin

Abstract read
In one paragraph

Article in Current protocols, 2024. 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. Review
  2. Review
  3. Review
  4. 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

2 authors.

Brittany M White-MathieuDepartment of Chemistry and Chemical Biology, Cornell University, Ithaca, New York.ORCID https://orcid.org/0000-0002-0597-7246
Jeremy M BaskinDepartment of Chemistry and Chemical Biology, Cornell University, Ithaca, New York.ORCID https://orcid.org/0000-0003-2939-3138

Funding

Mutually Orthogonal Metabolic Probes for Multiplexed Imaging of de novo Phospholipid BiosynthesisF32GM134632 · NIGMS · CORNELL UNIVERSITY · PI WHITE-MATHIEU, BRITTANY MARIE · 2019 to 2021
$192k
NIGMS NIH HHS F32 GM134632NIH HHS F32GM134632
6 · The paper itself

Abstract

Fluorescent imaging of cellular membranes is challenged by the size of lipid bilayers, which are smaller than the diffraction limit of light. Recently, expansion microscopy (ExM) has emerged as an approachable super-resolution method that requires only widely accessible confocal microscopes. In this method, biomolecules of interest are anchored to hydrogel-based, polymeric networks that are expanded through osmosis to physically separate and resolve features smaller than the diffraction limit of light. Whereas ExM has been employed for super-resolution imaging of proteins, DNA, RNA, and glycans, the application of this method to the study of lipids is challenged by the requirement of permeabilization procedures that remove lipids and compromise the integrity of the membrane. Here, we describe our recently developed protocols for lipid expansion microscopy (LExM), a method that enables ExM of membranes without permeabilization. These detailed protocols and accompanying commentary sections aim to make LExM accessible to any experimentalist interested in imaging membranes with super-resolution. © 2024 Wiley Periodicals LLC. Basic Protocol 1: LExM of alkyne-choline lipids Basic Protocol 2: LExM of IMPACT-labeled lipids Basic Protocol 3: LExM of clickable cholesterol Basic Protocol 4: Determining the expansion factor.

Indexed as

LipidsAlkynesCholesterolClick ChemistryLipid BilayersMicroscopy, FluorescenceAlkynesCholesterolLipid BilayersLipidsbioorthogonalclick chemistrylipid expansion microscopylipidssuper‐resolution imaging

Identifiers

PMID38779885
PMCPMC11125533

What Socratic 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 Socratic graph.