ReviewNature reviews. Molecular cell biology2015
The systematic analysis of protein-lipid interactions comes of age.
Review in Nature reviews. Molecular cell biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers.
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.
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.
Who cites it
86 citing papers in PubMed.
- Differential lipid selectivity of StARD phospholipid transporters revealed by native MS.Nature communications · 2026Article
- AI-guided design of plectin-1-targetedJournal of nanobiotechnology · 2026Article
- Opposing roles of DGAT-mediated lipid droplet biogenesis in the regulation of ferroptosis sensitivity.The FEBS journal · 2026Article
- Article
- The LiPP Benchmark Set for Modeling Lipid-Protein Complexes: Comparison of Co-Folding and Docking Methods.Journal of chemical information and modeling · 2026Article
- DKC1 promotes colorectal cancer progression and therapy resistance by dysregulating sphingolipid biosynthesis.Nature communications · 2026Article
- Heat shock proteins at the crossroads of endosomal trafficking pathways.Cell biology and toxicology · 2025Review
- Mechanistic Understanding of Protein-MOF Integration through Surfactant-Driven Interfacial Design.bioRxiv : the preprint server for biology · 2025Article
- Deep Structural Characterization of Protein-Bound Lipids via Native MS and Ultraviolet Photodissociation.Analytical chemistry · 2025Article
- Learning Universal Representations of Intermolecular Interactions with ATOMICA.bioRxiv : the preprint server for biology · 2025Article
- Enhanced Protein Photo-Stability Analysis Using SRCD in the Presence of Phospholipid SUVs.Chemistry (Weinheim an der Bergstrasse, Germany) · 2025Article
- Insights on Natural Membrane Characterization for the Rational Design of Biomimetic Drug Delivery Systems.Pharmaceutics · 2025Review
- Application of lipidomics in the study of traditional Chinese medicine.Journal of pharmaceutical analysis · 2025Review
- Structural basis for catalysis and selectivity of phospholipid synthesis by eukaryotic choline-phosphotransferase.Nature communications · 2025Article
- Review
- BioDolphin as a comprehensive database of lipid-protein binding interactions.Communications chemistry · 2024Article
- How ceramides affect the development of colon cancer: from normal colon to carcinoma.Pflugers Archiv : European journal of physiology · 2024Review
- Mapping the Multiscale Proteomic Organization of Cellular and Disease Phenotypes.Annual review of biomedical data science · 2024Review
- Article
- Mapping the lipidomic secretome of the early equine embryo.Frontiers in veterinary science · 2024Article
26 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lipids tailor membrane identities and function as molecular hubs in all cellular processes. However, the ways in which lipids modulate protein function and structure are poorly understood and still require systematic investigation. In this Innovation article, we summarize pioneering technologies, including lipid-overlay assays, lipid pull-down assays, affinity-purification lipidomics and the liposome microarray-based assay (LiMA), that will enable protein-lipid interactions to be deciphered on a systems level. We discuss how these technologies can be applied to the charting of system-wide networks and to the development of new pharmaceutical strategies.
Indexed as
Identifiers
26507169What OpenQuestion holds
Registered trials
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.