ArticleThe Journal of membrane biology2019
Significance of Cholesterol-Binding Motifs in ABCA1, ABCG1, and SR-B1 Structure.
Article in The Journal of membrane biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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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.
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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.
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Who cites it
12 citing papers in PubMed, 24 citations in OpenAlex.
- Research Progress and Prospects of Flavonoids in the Treatment of Hyperlipidemia: A Narrative Review.Molecules (Basel, Switzerland) · 2025Review
- In Silico Strategies for Characterizing Inner Cavities of Lipid-Binding Proteins.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Review
- Inflammatory corpuscle AIM2 facilitates macrophage foam cell formation by inhibiting cholesterol efflux protein ABCA1.Scientific reports · 2024Article
- HuangQi ChiFeng decoction maintains gut microbiota and bile acid homeostasis through FXR signaling to improve atherosclerosis.Heliyon · 2023Article
- Is reverse cholesterol transport regulated by active cholesterol?Journal of lipid research · 2023Review
- The Reentry Helix Is Potentially Involved in Cholesterol Sensing of the ABCG1 Transporter Protein.International journal of molecular sciences · 2022Article
- Different Pathways of Cellular Cholesterol Efflux.Cell biochemistry and biophysics · 2022Review
- The ethanol extract ofFrontiers in cardiovascular medicine · 2022Article
- Pathways and Mechanisms of Cellular Cholesterol Efflux-Insight From Imaging.Frontiers in cell and developmental biology · 2022Review
- Human variant of scavenger receptor BI (R174C) exhibits impaired cholesterol transport functions.Journal of lipid research · 2021Article
- Modulation of Transmembrane Domain Interactions in Neu Receptor Tyrosine Kinase by Membrane Fluidity and Cholesterol.The Journal of membrane biology · 2019Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
ABCA1, ABCG1 transporters, and SR-B1 receptor are the major proteins involved in cholesterol efflux from cells. We superposed in silico the location of putative cholesterol (Chol)-binding motifs CRAC/CARC and CCM in human ABCA1, ABCG1, and SR-B1 with (1) transmembrane protein topology, (2) a profile of structural order of protein, and (3) with an influence of single amino acid substitutions on protein structure and function. ABCA1, ABCG1, and SR-B1 molecules contain 50, 19, and 13 Chol-binding motifs, respectively, that are localized either in membrane helices, or at membrane-water interface, or in water-exposed protein regions. Arginine residues in motifs that coincide with molecular recognition features within intrinsically disordered regions of the transporters are suggested to be important in cholesterol binding; cholesterol-arginine interaction may result in the induction of local order in protein structure. Chol-binding motifs in membrane helices may immobilize cholesterol, while motifs at membrane-water interface may be involved into the efflux of "active" cholesterol. Cholesterol may interfere with ATP binding in both nucleotide-binding domains of ABCA1 structure. For ABCA1 and ABCG1, but not for SR-B1, the presence of mirror code as a CARC-CRAC vector couple in the C-terminal helices controlling protein-cholesterol interactions in the outer and inner membrane leaflets was evidenced. We propose the role of Chol-binding motifs with different immersion in membrane in transport of different cholesterol pools by ABCA1 and ABCG1.
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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.