Evidence map›Paper›PMID 41707236›Full record

ArticleBioinformatics (Oxford, England)2026

The Lipid Interactome: an interactive and open access platform for exploring cellular lipid-protein interactions.

Gaelen Guzman, André Nadler, Frank Stein, Jeremy M Baskin, Carsten Schultz, Fikadu G Tafesse

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2026. 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. Hydrophobic mismatch induces lipid sorting based on tail unsaturation.bioRxiv : the preprint server for biology · 2026
    Article
  2. Review
  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

6 authors.

Gaelen GuzmanDepartment of Molecular Immunology & Immunology, Oregon Health & Science University, Portland, OR 97239, United States.ORCID 0000-0002-7696-6034
André NadlerMax Plank Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany.
Frank SteinProteomics Core Facility, European Molecular Biology Laboratory, 69117, Heidelberg, Germany.
Jeremy M BaskinDepartment of Chemistry and Chemical Biology and Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY 14853-1301, United States.
Carsten SchultzDepartment of Chemical Physiology & Biochemistry, Oregon Health & Science University, Portland, OR 92739, United States.
Fikadu G TafesseDepartment of Molecular Immunology & Immunology, Oregon Health & Science University, Portland, OR 97239, United States.

Funding

Chemical biology tools for studying growth factor receptor internalizationR01GM127631 · NIGMS · OREGON HEALTH & SCIENCE UNIVERSITY · PI SCHULTZ, CARSTEN · 2018 to 2024
$2.4M
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
National Institutes of Health [National Institute of Allergy and Infectious Diseases R01 AI141549-02NIGMS NIH HHS R01 GM127631NIGMS NIH HHS R01 GM151682
6 · The paper itself

Abstract

summaryLipid-protein interactions play essential roles in cellular signaling and membrane dynamics, yet their systematic characterization has long been hindered by the inherent biochemical properties of lipids. Recent advances in functionalized lipid probes-equipped with photoactivatable crosslinkers, affinity handles, and photocleavable protecting groups-have enabled proteomics-based identification of lipid interacting proteins with unprecedented specificity and resolution. Despite the growing number of published lipid interactomes, there remains no centralized effort to harmonize, compare, or integrate these datasets. The Lipid Interactome addresses this gap by providing a structured, interactive web portal that adheres to FAIR data principles-ensuring that lipid interactome studies are Findable, Accessible, Interoperable, and Reusable. Through standardized data formatting, interactive visualizations, and direct cross-study comparisons, this resource enables researchers to systematically explore the protein-binding partners of diverse bioactive lipids. By consolidating and curating lipid interactome proteomics data from multiple studies, the Lipid Interactome database serves as a critical tool for deciphering the biological functions of lipids in cellularsystems. AVAILABILITY AND IMPLEMENTATION: This site can be viewed at LipidInteractome.org. All data are available for download. No user information is collected or necessary for data navigation, interaction, or download.

Indexed as

Computational BiologyLipid MetabolismLipidsProteinsProtein BindingProteomicsSoftwareLipidsProteins

Identifiers

PMID41707236
PMCPMC12926778

What Socratic holds

Textmetadata
LicenceCC BY
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.