Abstract
Apolipoprotein B100 (apoB100) is a structural component of low-density lipoprotein (LDL) and a ligand for the LDL receptor (LDLR)1. Mutations in apoB100 or in LDLR cause familial hypercholesterolaemia, an autosomal dominant disease that is characterized by a marked increase in LDL cholesterol (LDL-C) and a higher risk of cardiovascular disease2. The structure of apoB100 on LDL and its interaction with LDLR are poorly understood. Here we present the cryo-electron microscopy structures of apoB100 on LDL bound to the LDLR and a nanobody complex, which can form a C2-symmetric, higher-order complex. Using local refinement, we determined high-resolution structures of the interfaces between apoB100 and LDLR. One binding interface is formed between several small-ligand-binding modules of LDLR and a series of basic patches that are scattered along a β-belt formed by apoB100, encircling LDL. The other binding interface is formed between the β-propeller domain of LDLR and the N-terminal domain of apoB100. Our results reveal how both interfaces are involved in LDL dimer formation, and how LDLR cycles between LDL- and self-bound conformations. In addition, known mutations in either apoB100 or LDLR, associated with high levels of LDL-C, are located at the LDL–LDLR interface.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$32.99 / 30 days
cancel any time
Subscribe to this journal
Receive 51 print issues and online access
$199.00 per year
only $3.90 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout





Similar content being viewed by others
Data availability
The coordinates have been deposited in the PDB under accession numbers 9BD1, 9BD8, 9BDE, 9COO and 9BDT. The electron density maps have been deposited in the Electron Microscopy Data Bank under accession numbers EMD-44442, EMD-44443, EMD-44446, EMD-44450, EMD-45787 and EMD-44469. The cross-linking mass spectrometry data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifiers PXD051423, PXD051588, PXD051796 and PXD056510.
References
Segrest, J. P., Jones, M. K., De Loof, H. & Dashti, N. Structure of apolipoprotein B-100 in low density lipoproteins. J. Lipid Res. 42, 1346–1367 (2001).
Suryawanshi, Y. N. & Warbhe, R. A. Familial hypercholesterolemia: a literature review of the pathophysiology and current and novel treatments. Cureus 15, e49121 (2023).
Borén, J. et al. Low-density lipoproteins cause atherosclerotic cardiovascular disease: pathophysiological, genetic, and therapeutic insights: a consensus statement from the European Atherosclerosis Society Consensus Panel. Eur. Heart J. 41, 2313–2330 (2020).
Yu, Y. et al. Polyhedral 3D structure of human plasma very low density lipoproteins by individual particle cryo-electron tomography1. J. Lipid Res. 57, 1879–1888 (2016).
Ehrlich, M. et al. Endocytosis by random initiation and stabilization of clathrin-coated pits. Cell 118, 591–605 (2004).
Rudenko, G. et al. Structure of the LDL receptor extracellular domain at endosomal pH. Science 298, 2353–2358 (2002).
Jeon, H. & Blacklow, S. C. Structure and physiologic function of the low-density lipoprotein receptor. Annu. Rev. Biochem. 74, 535–562 (2005).
Mhaimeed, O. et al. The importance of LDL-C lowering in atherosclerotic cardiovascular disease prevention: lower for longer is better. Am. J. Prev. Cardiol. 18, 100649 (2024).
Chora, J. R., Medeiros, A. M., Alves, A. C. & Bourbon, M. Analysis of publicly available LDLR, APOB, and PCSK9 variants associated with familial hypercholesterolemia: application of ACMG guidelines and implications for familial hypercholesterolemia diagnosis. Genet. Med. 20, 591–598 (2018).
Blacklow, S. C. Versatility in ligand recognition by LDL receptor family proteins: advances and frontiers. Curr. Opin. Struct. Biol. 17, 419–426 (2007).
Wu, X. & Rapoport, T. A. Cryo-EM structure determination of small proteins by nanobody-binding scaffolds (Legobodies). Proc. Natl Acad. Sci. USA 118, e2115001118 (2021).
Nykjaer, A. & Willnow, T. E. The low-density lipoprotein receptor gene family: a cellular Swiss army knife. Trends Cell Biol. 12, 273–280 (2002).
Ren, G. et al. Model of human low-density lipoprotein and bound receptor based on cryoEM. Proc. Natl Acad. Sci. USA 107, 1059–1064 (2010).
Kumar, V. et al. Three-dimensional cryoEM reconstruction of native LDL particles to 16Å resolution at physiological body temperature. PLoS One 6, e18841 (2011).
Cisse, A. et al. Targeting structural flexibility in low density lipoprotein by integrating cryo-electron microscopy and high-speed atomic force microscopy. Int. J. Biol. Macromol. 252, 126345 (2023).
Li, H. et al. Construction of a biotinylated cameloid-like antibody for lable-free detection of apolipoprotein B-100. Biosens. Bioelectron. 64, 111–118 (2015).
Jeiran, K. et al. A new structural model of apolipoprotein B100 based on computational modeling and cross linking. Int. J. Mol. Sci. 23, 11480 (2022).
Jumper, J. et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583–589 (2021).
Thompson, J. R. & Banaszak, L. J. Lipid–protein interactions in lipovitellin. Biochemistry 41, 9398–9409 (2002).
Biterova, E. I. et al. The crystal structure of human microsomal triglyceride transfer protein. Proc. Natl Acad. Sci. USA 116, 17251–17260 (2019).
Huang, R. et al. Apolipoprotein A-I structural organization in high-density lipoproteins isolated from human plasma. Nat. Struct. Mol. Biol. 18, 416–422 (2011).
Esser, V., Limbird, L. E., Brown, M. S., Goldstein, J. L. & Russell, D. W. Mutational analysis of the ligand binding domain of the low density lipoprotein receptor. J. Biol. Chem. 263, 13282–13290 (1988).
Russell, D. W., Brown, M. S. & Goldstein, J. L. Different combinations of cysteine-rich repeats mediate binding of low density lipoprotein receptor to two different proteins. J. Biol. Chem. 264, 21682–21688 (1989).
Boren, J. et al. Identification of the low density lipoprotein receptor-binding site in apolipoprotein B100 and the modulation of its binding activity by the carboxyl terminus in familial defective apo-B100. J. Clin. Invest. 101, 1084–1093 (1998).
Motazacker, M. M. et al. Advances in genetics show the need for extending screening strategies for autosomal dominant hypercholesterolaemia. Eur. Heart J. 33, 1360–1366 (2012).
Rodríguez-Jiménez, C. et al. Identification and functional analysis of APOB variants in a cohort of hypercholesterolemic patients. Int. J. Mol. Sci. 24, 7635 (2023).
Fernández-Higuero, J. A. et al. Structural analysis of APOB variants, p.(Arg3527Gln), p.(Arg1164Thr) and p.(Gln4494del), causing familial hypercholesterolaemia provides novel insights into variant pathogenicity. Sci. Rep. 5, 18184 (2015).
Gaffney, D. et al. Independent mutations at codon 3500 of the apolipoprotein B gene are associated with hyperlipidemia. Arterioscler. Thromb. Vasc. Biol. 15, 1025–1029 (1995).
Pullinger, C. R. et al. Familial ligand-defective apolipoprotein B. Identification of a new mutation that decreases LDL receptor binding affinity. J. Clin. Invest. 95, 1225–1234 (1995).
Huang, S., Henry, L., Ho, Y. K., Pownall, H. J. & Rudenko, G. Mechanism of LDL binding and release probed by structure-based mutagenesis of the LDL receptor. J. Lipid Res. 51, 297–308 (2010).
Gomez, A. et al. Functional analysis of six uncharacterised mutations in LDLR gene. Atherosclerosis 291, 44–51 (2019).
Benito-Vicente, A. et al. The importance of an integrated analysis of clinical, molecular, and functional data for the genetic diagnosis of familial hypercholesterolemia. Genet. Med. 17, 980–988 (2015).
Duskova, L. et al. Low density lipoprotein receptor variants in the beta-propeller subdomain and their functional impact. Front. Genet. 11, 691 (2020).
Wang, M. et al. Novel LDLR variants affecting low density lipoprotein metabolism identified in familial hypercholesterolemia. Mol. Biol. Rep. 51, 153 (2024).
Shen, H. et al. Familial defective apolipoprotein B-100 and increased low-density lipoprotein cholesterol and coronary artery calcification in the Old Order Amish. Arch. Intern. Med. 170, 1850–1855 (2010).
Soria, L. F. et al. Association between a specific apolipoprotein B mutation and familial defective apolipoprotein B-100. Proc. Natl Acad. Sci. USA 86, 587–591 (1989).
Montasser, M. E. et al. Genetic and functional evidence links a missense variant in B4GALT1 to lower LDL and fibrinogen. Science 374, 1221–1227 (2021).
Zhao, Y. et al. In-depth mass spectrometry analysis reveals the plasma proteomic and N-glycoproteomic impact of an Amish-enriched cardioprotective variant in B4GALT1. Mol. Cell. Proteomics 22, 100595 (2023).
Zou, P. & Ting, A. Y. Imaging LDL receptor oligomerization during endocytosis using a co-internalization assay. ACS Chem. Biol. 6, 308–313 (2011).
van Driel, I. R., Davis, C. G., Goldstein, J. L. & Brown, M. S. Self-association of the low density lipoprotein receptor mediated by the cytoplasmic domain. J. Biol. Chem. 262, 16127–16134 (1987).
Heymann, J. B. et al. Clathrin-coated vesicles from brain have small payloads: a cryo-electron tomographic study. J. Struct. Biol. 184, 43–51 (2013).
Berndsen Z. T. & Cassidy, C. K. The structure of ApoB100 from human low-density lipoprotein. Preprint at bioRxiv https://doi.org/10.1101/2024.02.28.582555 (2024).
Lu, M. & Gursky, O. Aggregation and fusion of low-density lipoproteins in vivo and in vitro. Biomol. Concepts 4, 501–518 (2013).
Öörni, K. & Kovanen, P. T. Aggregation susceptibility of low-density lipoproteins—a novel modifiable biomarker of cardiovascular risk. J. Clin. Med. 10, 1769 (2021).
Maruyama, I. N. Activation of transmembrane cell-surface receptors via a common mechanism? The “rotation model”. Bioessays 37, 959–967 (2015).
Feixas, F., Lindert, S., Sinko, W. & McCammon, J. A. Exploring the role of receptor flexibility in structure-based drug discovery. Biophys. Chem. 186, 31–45 (2014).
Heuser, J. E. & Anderson, R. G. Hypertonic media inhibit receptor-mediated endocytosis by blocking clathrin-coated pit formation. J. Cell Biol. 108, 389–400 (1989).
Beglova, N., Jeon, H., Fisher, C. & Blacklow, S. C. Cooperation between fixed and low pH-inducible interfaces controls lipoprotein release by the LDL receptor. Mol. Cell 16, 281–292 (2004).
Havel, R. J., Eder, H. A. & Bragdon, J. H. The distribution and chemical composition of ultracentrifugally separated lipoproteins in human serum. J. Clin. Invest. 34, 1345–1353 (1955).
Schumaker, V. N. & Puppione, D. L. Sequential flotation ultracentrifugation. Methods Enzymol. 128, 155–170 (1986).
Gaubatz, J. W. et al. Dynamics of dense electronegative low density lipoproteins and their preferential association with lipoprotein phospholipase A2. J. Lipid Res. 48, 348–357 (2007).
Banerjee, S. et al. Proteolysis of the low density lipoprotein receptor by bone morphogenetic protein-1 regulates cellular cholesterol uptake. Sci. Rep. 9, 11416 (2019).
Yost, S. A., Whidby, J., Khan, A. G., Wang, Y. & Marcotrigiano, J. Overcoming challenges of hepatitis C virus envelope glycoprotein production in mammalian cells. Methods Mol. Biol. 1911, 305–316 (2019).
Wu, D. & Piszczek, G. Standard protocol for mass photometry experiments. Eur. Biophys. J. 50, 403–409 (2021).
Punjani, A., Rubinstein, J. L., Fleet, D. J. & Brubaker, M. A. cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination. Nat. Methods 14, 290–296 (2017).
Bepler, T. et al. Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs. Nat. Methods 16, 1153–1160 (2019).
Cardone, G., Heymann, J. B. & Steven, A. C. One number does not fit all: mapping local variations in resolution in cryo-EM reconstructions. J. Struct. Biol. 184, 226–236 (2013).
Sanchez-Garcia, R. et al. DeepEMhancer: a deep learning solution for cryo-EM volume post-processing. Commun. Biol. 4, 874 (2021).
Jakobi, A. J., Wilmanns, M. & Sachse, C. Model-based local density sharpening of cryo-EM maps. eLife 6, e27131 (2017).
Emsley, P., Lohkamp, B., Scott, W. G. & Cowtan, K. Features and development of Coot. Acta Crystallogr. D 66, 486–501 (2010).
Liebschner, D. et al. Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in Phenix. Acta Crystallogr. D 75, 861–877 (2019).
Williams, C. J. et al. MolProbity: more and better reference data for improved all-atom structure validation. Protein Sci. 27, 293–315 (2018).
Wessel, D. & Flugge, U. I. A method for the quantitative recovery of protein in dilute solution in the presence of detergents and lipids. Anal. Biochem. 138, 141–143 (1984).
Rappsilber, J., Mann, M. & Ishihama, Y. Protocol for micro-purification, enrichment, pre-fractionation and storage of peptides for proteomics using StageTips. Nat. Protoc. 2, 1896–1906 (2007).
Mendes, M. L. et al. An integrated workflow for crosslinking mass spectrometry. Mol. Syst. Biol. 15, e8994 (2019).
Lenz, S. et al. Reliable identification of protein-protein interactions by crosslinking mass spectrometry. Nat. Commun. 12, 3564 (2021).
Kong, A. T., Leprevost, F. V., Avtonomov, D. M., Mellacheruvu, D. & Nesvizhskii, A. I. MSFragger: ultrafast and comprehensive peptide identification in mass spectrometry-based proteomics. Nat. Methods 14, 513–520 (2017).
da Veiga Leprevost, F. et al. Philosopher: a versatile toolkit for shotgun proteomics data analysis. Nat. Methods 17, 869–870 (2020).
Acknowledgements
We thank E. Bolig, J. Bonanno, S. Burley, G. S. Chhatwal, T. Fonseca, J. Hinshaw, C. Lawson, D. Lucero, G. Piszczek, K. Shilagardi, H. Wang, N. Weber and D. Wu for technical assistance and advice, and J. Key for his support through the SBGrid Consortium. Biolayer interferometry and mass photometry data were collected at the Biophysics Core Facility at the NHLBI. Y. Wan provided the modified sequences for the Nb4 nanobody against apoB100. The cryo-EM data were collected at the NIH Multi-Institute Cryo-EM Facility (MICEF). This work was supported by the Intramural Research Programs of the National Cancer Institute (F.J.O.; ZIA BC 012114), National Heart, Lung, and Blood Institute (A.T.R.), National Institute of Allergy and Infectious Diseases (J.M.), the High-Value Datasets program from the NIH Office of Data Science Strategy (J.M.) and a grant (23CVD02) from the Leducq Foundation and the Leducq Foundation for Cardiovascular Research (A.T.R. and M.R.). The computational resources were provided by the NIH STRIDES Initiative (https://cloud.nih.gov) through Amazon Web Services.
Author information
Authors and Affiliations
Contributions
E.B.N., A.T.R. and J.M. conceived the project. M.R. and G.G. produced the proteins with help from A.K. M.R. and G.G. performed the biochemical studies. M.R. and G.G. performed cross-linking experiments. A.M.C., R.H. and F.J.O. performed the preparation, acquisition and mass spectrometry analysis of cross-linking data. M.R., G.G., H.L. and A.D.D. prepared grids for data collection. H.L. collected the cryo-EM data with help from M.R. A.D.D. and J.M. processed the cryo-EM data. J.M. and A.D.D. built and refined the models. A.D.D., M.R., A.T.R. and J.M. prepared the manuscript. All authors edited the manuscript.
Corresponding authors
Ethics declarations
Competing interests
The authors declare no competing interests
Peer review
Peer review information
Nature thanks Gang Ren and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Extended data figures and tables
Extended Data Fig. 1 Biochemical characterization of LDL, LDLR and legobody.
a, Schematic of the resolved (hot pink) and unresolved (light pink) regions of LDLR extracellular domain labelled with modules LA1 (residues 25–65), 2 (residues 66–106), 3 (residues 107–145), 4 (residues 146–186), 5 (residues 195–233), 6 (residues 234–272), and 7 (residues 274–313), EGF-A (residues 314–353), -B (residues 354–393), -C (residues 667–712), and the β-propeller (residues 398–663). A single point mutation (D193A) in the LDLR construct was made to prevent proteolytic cleavage. b, Biolayer interferometry of LDL binding to LDLR with nanomolar affinity. c, Independent biological replicate of LDL binding to LDLR in the absence (left) and presence (right) of legobody. d, Mass photometry of LDLR. The calculated molecular weight of LDLR protein is 90 kDa (Std. Dev. 17 kDa). e, Size-exclusion chromatogram of purified human LDL alone (black), with an excess of LDLR (blue), with an excess of both LDLR and legobody (red), and controls LDLR alone (green) and legobody alone (grey). f, Biolayer interferometry of LDL binding to nanobody 4 with nanomolar affinity. g, Coomassie-stained, SDS–PAGE of size-exclusion eluant fractions of LDL+LDLR+legobody. SDS–PAGE for this exact SEC was performed once. e,g, Red asterisk (*) denotes the fraction prepared for cryo-EM. The SEC peaks are labelled accordingly: the complex peak (A), excess LDLR peak (B), and excess legobody peak (C). h, Representative cryo-EM micrograph from the selected fraction, n = 36,873. The inset shows the dimeric LDL/LDLR/legobody complex. Scale bars, 40 nm.
Extended Data Fig. 2 Cryo-EM reconstruction strategy for LDL–LDLR–legobody complexes.
LDL-containing particle picks (3.4 million) were further selected for cosegregation with legobody (<1 million) to aid in alignment. Separation of particles that are 2:2:2 complexes (2 LDL, 2 LDLR, and 2 legobodies) from 1:2:1 complexes (1 LDL, 2 LDLR, and 1 legobody), resulted in a 29:71% split. The apoB100 NTD was determined by local refinement of 2:2:2 complexes. The 2:2:2 complexes were re-extracted with a 1024 pixel box to calculate a C2-symmetric reconstruction. The 1:2:1 complex was separated into six reconstructions (Additional information in Extended Data Fig. 4) with unique combinations of features that were strategically pooled to determine features of interest through non-uniform and local refinement. Each reconstruction includes the particle count, Gold Standard Fourier Shell Correlation Curves for no mask (blue) loose mask (green), tight mask (red), and corrected (purple), inset central section of map with resolution (0.143) and location of local mask (box) as applicable, and Viewing Direction Distribution plot.
Extended Data Fig. 3 Cryo-EM reconstructions of apoB100 bound to LDLR and legobody.
a, A second globular domain is apparent at a very low (0.05) density threshold. Superpositioned cryo-EM reconstructions of 1:2:1 (black) and 2:2:2 (white) complexes with LDL, density bridges, ridge and globular domains labelled. b–f, Cryo-EM reconstruction coloured by local resolution. All surfaces were thresholded to 0.1 and gradient coloured by local resolution 3.7–10 Å as indicated by key. b, Local refinement of the NTD of apoB100 from the 2:2:2 complex at 5.46 Å resolution. c, Non-uniform refinement of the 1:2:1 complex at 5.41 Å resolution. d,e, Local refinements of the legobody and neighbouring portions of apoB100 and LDLR (d) and the apoB100 β-barrel and LDLR β-propeller (e) at 4.18 Å and 4.83 Å resolution, respectively. f, Local refinement of portions of the legobody, apoB100 and LDLR in the vicinity of the nanobody binding site at 3.73 Å resolution. g, β-strand (left) and side chain (right) resolution of the map (transparent white) with structure (coloured by heteroatom) from the nanobody binding structure shown in f.
Extended Data Fig. 4 Structural heterogeneity and consensus features of 1:2:1 LDL–LDLR–legobody complexes.
Reconstructions of each of six subclasses (0–5) includes the particle count, Gold Standard Fourier Shell Correlation Curves for no mask (blue) loose mask (green), tight mask (red), and corrected (purple), inset central section of map with resolution (0.143), Viewing Direction Distribution plot, and orthogonal views with map contour threshold and associated protein structure orientation (top) coloured as in Fig. 3 with apoB100 NTD (blue), LDLR (R, pink), and legobody (L, grey). Unique or missing features are outlined: missing β-barrel and β-propeller (red rectangles), missing legobody (blue rectangle), missing α3 (black ovals), different α2 base (purple rectangle), missing α2 arm (orange rectangles).
Extended Data Fig. 5 Generation of the apoB100 model and its orientation to the cholesteryl ester plates.
a–d, AlphaFold generates low-confidence initial models relative to the built model of apoB100 (blue), LDLR (pink), and legobody (grey). Five AlphaFold2 structure predictions (pipe-and-plank diagrams coloured orange to green by confidence) for residues 1770–2801, α2 and nearby β-belt (a,b) and residues 3370–4563, α3 and nearby β-belt (c,d) of apoB100. a,c, One AlphaFold model (orange/green) and the final model of apoB100 (blue), LDLR (pink), and legobody (grey/tan) superpositioned and docked into density (yellow surface). Incompletely filled densities for α2 and α3 are labelled. The unfilled densities are predicted as pairs of helices, but this secondary structure is unresolved. Five superpositioned AlphaFold models of α2 and nearby belt (b) and α3 and nearby belt (d) in two, opposing views. e, Relative orientation of protein and cholesteryl ester plates. Two opposing views of the licorice diagram of apoB100, LDLR, and legobody (coloured as in Fig. 3) in the 1:2:1 complex density (light grey surface, 0.075 threshold) wrapping diagonally around three cholesteryl ester (CE) plates (solid surfaces) proximal to α2 (yellow), middle (pink), and proximal to α3 (cyan). α2 and α3 skirt the edges of their adjacent CE plates as labelled with the α-solenoid spanning all three CE plates.
Extended Data Fig. 6 Heterogeneity of the cholesteryl ester core does not disrupt LDLR binding and the resolution of glycans.
a, Asymmetric single-particle reconstruction of 2:2:2 LDL–LDLR–legobody complexes with matched (blue box), mismatched (yellow box), and disordered (green box) CE plates. Direction of CE plates in each LDL (double-ended arrows) is unchanged in the upper LDL and variable in the lower LDL of each dimer in the uncapped central slices of each reconstruction (right), except where disordered (x). b, Superposition of asymmetric dimer maps with matched (blue), mismatched (transparent yellow), and disordered (green) CE plates and labelled with features of interest. The CE plates are unchanged in the LDL (Same LDL) on the left and variable in the LDL (Different LDL) on the right. Each reconstruction includes density for two LDLR. Far from LDLR, the β-belt of apoB100 adopts different positions coincident with the matched (blue) and disordered (green) CE plates. c–e, N-acetylglucosamine (NAG) are labelled with residue numbers for each. (c) 3.73 Å map near nanobody (grey surface), at density threshold 0.1, with structure (sticks) coloured by heteroatom of glycosylated (grey) N3101 in apoB100 (yellow). d,e, The 1:2:1 complex map (5.41 Å) at density threshold 0.05 (yellow surface) and 0.1 (blue mesh), with glycans (blue sticks and by heteroatom) in the NTD (d) and β-belt (e) of apoB100 (ribbon diagram with side chains labelled, coloured as in Fig. 3 and by heteroatom).
Extended Data Fig. 7 Cross-linking mass spectrometry.
Sulfo-SDA cross-links with Cα-Cα distances ≤ 25 Å (black solid lines) and > 25 Å (black dashed lines) mapped on ribbon diagrams coloured as in Fig. 3 with features of interest as labelled. a, Intramolecular apoB100 cross-links in apoB100 with insets showing long-range cross-links and four clusters of overlength cross-links demonstrating flexibility in βα1 region. b–d, Intermolecular cross-links across the BS2 interface (b), BS1 interface (c) and LA5 module of LDLR to the apoB100 β-barrel (flexible modules of LDLR pink dashed lines) (d). e, Sulfo-SDA cross-links (black dashed lines) mapped on a ribbon diagram coloured as in Fig. 5 across the apoB100 dimer interface. Electron density map of 2:2:2 LDL–LDLR–legobody (transparent grey surface) included for context.
Extended Data Fig. 8 Additional interfaces.
Ribbon diagrams of Nb4 binding apoB100 (a), LA2 binding the protein A domain in MBP (b) and LA3, LA4 and LA6, respectively, binding to apoB100 (c–e). Locations of FH variants in apoB100 are circled (red dashed ovals). Each is coloured as in Fig. 3 and by heteroatom. f, EGF-C is apparent at a very low density threshold. Superpositioned cryo-EM reconstructions of the 2:2:2 complex (white, 7.89 Å, 0.05 density threshold) and β-propeller (pink) and β-barrel (blue) (4.83 Å). LDL, density bridge, and select domains are labelled. Features of interest are labelled.
Supplementary information
Rights and permissions
About this article
Cite this article
Reimund, M., Dearborn, A.D., Graziano, G. et al. Structure of apolipoprotein B100 bound to the low-density lipoprotein receptor. Nature 638, 829–835 (2025). https://doi.org/10.1038/s41586-024-08223-0
Received:
Accepted:
Published:
Issue date:
DOI: https://doi.org/10.1038/s41586-024-08223-0
This article is cited by
-
The structure of bad cholesterol comes into focus
Nature (2025)
-
Rigid enlargement of sybodies with antibody fragments for cryo-EM analyses of small membrane proteins
Scientific Reports (2025)
-
The molecular structure of LDL has finally been elucidated
Nature Reviews Cardiology (2025)
-
Apolipoprotein B100 revisited
Nature Reviews Cardiology (2025)
-
Cathelicidin LL-37-ApoB-100 interaction promotes LDL clearance and attenuates cholesterol accumulation in the liver
Science China Life Sciences (2025)