Evidence map›Paper›PMID 40101206›Full record

ReviewAnnual review of biochemistry2025

Emerging Approaches for Studying Lipid Dynamics, Metabolism, and Interactions in Cells.

Lin Luan, Nathan P Frederick, Jeremy M Baskin

Abstract readReview
In one paragraph

Review in Annual review of biochemistry, 2025. 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. Article
  3. Review
  4. 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.

Lin LuanWeill Institute for Cell and Molecular Biology, Cornell University, Ithaca, New York, USA; email: jeremy.baskin@cornell.edu.
Nathan P FrederickWeill Institute for Cell and Molecular Biology, Cornell University, Ithaca, New York, USA; email: jeremy.baskin@cornell.edu.
Jeremy M BaskinWeill Institute for Cell and Molecular Biology, Cornell University, Ithaca, New York, USA; email: jeremy.baskin@cornell.edu.

Funding

Training future leaders at the chemistry-biology interfaceT32GM138826 · NIGMS · CORNELL UNIVERSITY · PI Jeremy Baskin · 2021 to 2026
$2.6M
Deciphering phosphatidic acid homeostasis and signaling using optogenetic membrane editors (Equipment Supplement 2024)R01GM151682 · NIGMS · CORNELL UNIVERSITY · PI Jeremy Baskin · 2023 to 2026
$1.6M
NIGMS NIH HHS R01 GM151682NIGMS NIH HHS T32 GM138826
6 · The paper itself

Abstract

Lipids are a major class of biological molecules, the primary components of cellular membranes, and critical signaling molecules that regulate cell biology and physiology. Due to their dynamic behavior within membranes, rapid transport between organelles, and complex and often redundant metabolic pathways, lipids have traditionally been considered among the most challenging biological molecules to study. In recent years, a plethora of tools bridging the chemistry-biology interface has emerged for studying different aspects of lipid biology. Here, we provide an overview of these approaches. We discuss methods for lipid detection, including genetically encoded biosensors, synthetic lipid analogs, and metabolic labeling probes. For targeted manipulation of lipids, we describe pharmacological agents and controllable enzymes, termed membrane editors, that harness optogenetics and chemogenetics. To conclude, we survey techniques for elucidating lipid-protein interactions, including photoaffinity labeling and proximity labeling. Collectively, these strategies are revealing new insights into the regulation, dynamics, and functions of lipids in cell biology.

Indexed as

Cell MembraneLipid MetabolismLipidsAnimalsBiosensing TechniquesHumansOptogeneticsPhotoaffinity LabelsLipidsPhotoaffinity Labelsbiosensorslipidsmembrane editingmembranesmetabolic labelingphotoaffinity labeling

Identifiers

PMID40101206
PMCPMC12181061

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.