Evidence map›Paper›PMID 29953345›Full record

ArticleMolecular biology of the cell2018

Genetically encoded lipid biosensors.

Rachel C Wills, Brady D Goulden, Gerald R V Hammond

Abstract read
In one paragraph

Article in Molecular biology of the cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
5.3field-weighted citation impact, top 3% 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

60 citing papers in PubMed, 107 citations in OpenAlex.

  1. Quantitative comparison of PI(3,5)PMolecular biology of the cell · 2026
    Article
  2. Review
  3. Distinct impact of PI(4)P flux on PI(4,5)PProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Article
  5. Quantitative comparison of PI(3,5)PbioRxiv : the preprint server for biology · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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 at 1 institution in 1 country.

Rachel C WillsDepartment of Cell Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA 16261.
Brady D GouldenDepartment of Cell Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA 16261.
Gerald R V HammondDepartment of Cell Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA 16261.
University of Pittsburgh · US

Funding

Directing Membrane Function with Inositol Lipids in Health and DiseaseR35GM119412 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Gerald R Hammond · 2016 to 2026
$4.3M
NIGMS NIH HHS R35 GM119412
6 · The paper itself

Abstract

Lipids convey both structural and functional properties to eukaryotic membranes. Understanding the basic lipid composition and the dynamics of these important molecules, in the context of cellular membranes, can shed light on signaling, metabolism, trafficking, and even membrane identity. The development of genetically encoded lipid biosensors has allowed for the visualization of specific lipids inside individual, living cells. However, a number of caveats and considerations have emerged with the overexpression of these biosensors. In this Technical Perspective, we provide a current list of available genetically encoded lipid biosensors, together with criteria that determine their veracity. We also provide some suggestions for the optimal utilization of these biosensors when both designing experiments and interpreting results.

Indexed as

Genetic TechniquesAnimalsBiosensing TechniquesHeLa CellsHumansImage Processing, Computer-AssistedLipidsLipids

Identifiers

PMID29953345
PMCPMC6080648
OpenAlexW2811194811

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.