Evidence map›Paper›PMID 32898510›Full record

ReviewChemistry and physics of lipids2020

Metabolic labeling of glycerophospholipids via clickable analogs derivatized at the lipid headgroup.

Christelle F Ancajas, Tanei J Ricks, Michael D Best

Abstract readReview
In one paragraph

Review in Chemistry and physics of lipids, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Bioconjugation Strategies for Revealing the Roles of Glycerophospholipids in Cells.Chembiochem : a European journal of chemical biology · 2026
    Review
  3. Lipid Metabolism and Immune Function: Chemical Tools for Insights into T-Cell Biology.Chembiochem : a European journal of chemical biology · 2025
    Review
  4. Article
  5. Article
  6. Probing Glycerolipid Metabolism using a Caged Clickable Glycerol-3-Phosphate Probe.Chembiochem : a European journal of chemical biology · 2024
    Article
  7. Article
  8. Biomarkers and targeted therapy for cancer stem cells.Trends in pharmacological sciences · 2024
    Review
  9. Cell Surface Engineering Tools for Programming Living Assemblies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
  10. Article
  11. Article
  12. Chemical Tools for Lipid Cell Biology.Accounts of chemical research · 2023
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. 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

3 authors.

Christelle F AncajasDepartment of Chemistry, University of Tennessee, 1420 Circle Drive, Knoxville, TN, 37996, USA.
Tanei J RicksDepartment of Chemistry, University of Tennessee, 1420 Circle Drive, Knoxville, TN, 37996, USA.
Michael D BestDepartment of Chemistry, University of Tennessee, 1420 Circle Drive, Knoxville, TN, 37996, USA. Electronic address: mdbest@utk.edu.

Funding

Labeling of Lipid Products using Synthetic Tagged Metabolite Probes to Analyze Lipid Biosynthesis and TraffickingR15GM120705 · NIGMS · UNIVERSITY OF TENNESSEE KNOXVILLE · PI BEST, MICHAEL D. · 2016 to 2016
$453k
NIGMS NIH HHS R15 GM120705
6 · The paper itself

Abstract

Metabolic labeling, in which substrate analogs containing diminutive tags can infiltrate biosynthetic pathways and generate labeled products in cells, has led to dramatic advancements in the means by which complex biomolecules can be detected and biological processes can be elucidated. Within this realm, metabolic labeling of lipid products, particularly in a manner that is headgroup-specific, brings about a number of technical challenges including the complexity of lipid metabolic pathways as well as the simplicity of biosynthetic precursors to headgroup functionality. As such, only a handful of strategies for metabolic labeling of lipids have thus far been reported. However, these approaches provide enticing examples of how strategic modifications to substrate structures, particularly by introducing clickable moieties, can enable the hijacking of lipid biosynthesis. Furthermore, early work in this field has led to an explosion in diverse applications by which these techniques have been exploited to answer key biological questions or detect and track various lipid-containing biological entities. In this article, we review these efforts and emphasize recent advancements in the development and application of lipid metabolic labeling strategies.

Indexed as

Click ChemistryGlycerophospholipidsHumansStaining and LabelingGlycerophospholipidsBioorthogonal chemistryLipid synthesisMetabolic labelingPhosphatidic acidPhosphatidylcholinePhosphatidylinositolPhospholipids

Identifiers

PMID32898510
PMCPMC7606648

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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.