Back

An Integrated Method for Profiling Lipid-Protein Interactions Using Multifunctional Lipid Probes

Farley, S. E.; Guzman, G.; Blume, B.; Stein, F.; Schultz, C.; Tafesse, F. G.

2026-01-17 biochemistry
10.64898/2026.01.17.700062 bioRxiv
Show abstract

Cellular lipids shape health and disease through specific protein interactions, yet lipid-protein networks remain poorly defined. Despite rapid advances in functional lipid probes, the field still lacks a practical, dedicated protocol for conducting lipid-protein interaction studies. We describe detailed methods for determining lipid interactomes from cells using multifunctionalized lipid derivatives. We provide protocols that detail 1) how to treat cells with lipid derivatives and perform photochemistry to obtain lipid-protein conjugates; 2) how to perform click chemistry with a fluorophore and observe lipid-protein conjugates by in-gel fluorescence; 3) how to perform click chemistry with azide beads and prepare lipid-protein conjugates for proteomic analysis. We provide context on important parameters for each step and include guidelines for controls, as well as suggestions for troubleshooting based on common problems encountered during the preparation of this protocol. This protocol enables mapping lipid interactomes across diverse biological systems. The entire workflow from cell treatment to complete proteomic sample preparation requires [~]15 hours over four days, depending on the type of experimental readout (in-gel fluorescence or proteomics), and the usage of pause points. Practitioners are expected to be familiar with standard biochemical techniques, such as sterile sample handling and tissue culture and gel electrophoresis. Additional skills are needed for mass spectrometric analysis, and collaboration with a proteomics core facility is recommended. The described procedures uniquely enable the identification of the protein interactors (the interactome) of select lipid species, providing for a major shift in the characterization of the biological roles of lipids in cellular systems.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
Analytical Chemistry
205 papers in training set
Top 0.1%
19.0%
2
Journal of Proteome Research
215 papers in training set
Top 0.5%
6.4%
3
Methods
29 papers in training set
Top 0.1%
4.9%
4
Journal of the American Society for Mass Spectrometry
33 papers in training set
Top 0.1%
4.4%
5
ACS Chemical Biology
150 papers in training set
Top 0.4%
3.9%
6
PLOS ONE
4510 papers in training set
Top 38%
3.6%
7
The Analyst
15 papers in training set
Top 0.1%
3.6%
8
Analytica Chimica Acta
17 papers in training set
Top 0.2%
2.8%
9
Journal of Lipid Research
35 papers in training set
Top 0.1%
2.6%
50% of probability mass above
10
Journal of Visualized Experiments
30 papers in training set
Top 0.1%
2.6%
11
ACS Omega
90 papers in training set
Top 0.8%
2.6%
12
Nature Communications
4913 papers in training set
Top 45%
2.5%
13
Molecular & Cellular Proteomics
158 papers in training set
Top 0.8%
2.4%
14
Protein Science
221 papers in training set
Top 0.6%
2.4%
15
ACS Infectious Diseases
74 papers in training set
Top 0.6%
1.7%
16
RSC Chemical Biology
32 papers in training set
Top 0.1%
1.7%
17
Nature Protocols
30 papers in training set
Top 0.1%
1.3%
18
Chemical Communications
24 papers in training set
Top 0.6%
1.3%
19
Journal of Biological Chemistry
641 papers in training set
Top 3%
1.0%
20
Bioconjugate Chemistry
17 papers in training set
Top 0.2%
0.9%
21
Journal of the American Chemical Society
199 papers in training set
Top 4%
0.9%
22
PROTEOMICS
35 papers in training set
Top 0.6%
0.9%
23
JACS Au
35 papers in training set
Top 0.8%
0.9%
24
Langmuir
31 papers in training set
Top 0.5%
0.8%
25
Analytical and Bioanalytical Chemistry
17 papers in training set
Top 0.3%
0.8%
26
Cell Reports Methods
141 papers in training set
Top 4%
0.8%
27
Biophysical Journal
545 papers in training set
Top 5%
0.8%
28
ACS Bio & Med Chem Au
11 papers in training set
Top 0.1%
0.8%
29
Biochemistry
130 papers in training set
Top 2%
0.8%
30
Analytical Biochemistry
26 papers in training set
Top 0.2%
0.8%