The DOI matches its Crossref record.
Ligand size as a determinant for catabolism by the low density lipoprotein (LDL) receptor pathway. A lattice model for LDL binding.
Abstract
Low density lipoproteins (LDL) are large (Mr = 2.5 x 10(6)) in comparison to LDL receptors (Mr = 115,000). Since most LDL receptors are clustered in coated pits, we tested the hypothesis that crowding of receptor-bound LDL particles would cause steric effects. The apparent affinity of LDL for receptors on cultured fibroblasts decreased near saturation causing concave-upward Scatchard plots. Both the higher and lower affinity components of binding were up-regulated by the cholesterol synthesis inhibitor, lovastatin, indicating that the entire binding curve was sterol-responsive. In contrast, neither component of LDL binding was present on lovastatin-treated or untreated null fibroblasts which are incapable of expressing LDL receptors. Therefore, the concave-upward Scatchard plots were entirely due to binding to LDL receptors. These results are consistent with a lattice model in which receptor-bound LDL are large enough to decrease binding to adjacent receptors. A lattice model implies that large LDL should produce steric effects at a lower receptor occupancy than should small LDL. This was tested using seven LDL fractions that differed in diameter from 20 to 27 nm. Fewer large than small LDL were bound to the cell surface at 4 degrees C and 37 degrees C, and fewer were internalized and degraded at 37 degrees C. Since large LDL bound via both apolipoprotein (apo) E and apoB100, receptor cross-linking could have caused fewer large LDL to be bound at saturation. However, when the…
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The lower efficiency of LDL binding to LDLR inside coated pits in normal cells can be explained by receptor occlusion resulting from binding of LDL to adjacent LDLR when the receptors are at high density as they are in coated pits.
“This lower efficiency can be explained by receptor occlusion resulting from binding of LDL to adjacent LDLR when the receptors are at high density as they are in coated pits (37).”
From The Modular Adaptor Protein ARH Is Required for Low Density Lipoprotein (LDL) Binding and Internalization but Not for LDL Receptor Clustering in Coated Pits (2004) · cites this paper as [37]
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 51
- Goldstein, 1977, Annu. Rev. Biochem., 46, 897, 10.1146/annurev.bi.46.070177.004341 · DOI · Paper page
- Cummings, 1983, J. Biol. Chem., 258, 15261, 10.1016/S0021-9258(17)43802-6 · DOI
- Orci, 1978, Exp. Cell Res., 113, 1, 10.1016/0014-4827(78)90081-2 · DOI
- Pitas, 1979, Proc. Natl. Acad. Sci. U. S. A., 76, 2311, 10.1073/pnas.76.5.2311 · DOI · Paper page
- Innerarity, 1980, Biochemistry, 19, 4359, 10.1021/bi00559a032 · DOI
- McGhee, 1974, J. Mol. Biol., 86, 469, 10.1016/0022-2836(74)90031-X · DOI
- Wegner, 1981, Biochemistry, 20, 5633, 10.1021/bi00522a043 · DOI
- Stankowski, 1983, Biochim. Biophys. Acta, 735, 341, 10.1016/0005-2736(83)90148-7 · DOI
- Stankowski, 1983, Biochim. Biophys. Acta, 735, 352, 10.1016/0005-2736(83)90149-9 · DOI
- Hardy, 1985, Biochemistry, 24, 22, 10.1021/bi00322a004 · DOI
- Sturm, 1981, Biopolymers, 20, 765, 10.1002/bip.1981.360200410 · DOI
- Edelstein, 1986, Methods Enzymol., 128, 151, 10.1016/0076-6879(86)28065-9 · DOI
- Havel, 1955, J. Clin. Invest., 34, 1345, 10.1172/JCI103182 · DOI
- Bilheimer, 1972, Biochim. Biophys. Acta, 260, 212, 10.1016/0005-2760(72)90034-3 · DOI
- Chappell, 1989, J. Clin. Invest., 84, 1906, 10.1172/JCI114378 · DOI · Paper page
- Lowry, 1951, J. Biol. Chem., 193, 265, 10.1016/S0021-9258(19)52451-6 · DOI
- Bartlett, 1959, J. Biol. Chem., 234, 466, 10.1016/S0021-9258(18)70226-3 · DOI
- Laemmli, 1970, Nature, 227, 680, 10.1038/227680a0 · DOI · Paper page
- Morrissey, 1981, Anal. Biochem., 117, 307, 10.1016/0003-2697(81)90783-1 · DOI
- Weisgraber, 1978, J. Biol. Chem., 253, 6281, 10.1016/S0021-9258(17)34612-4 · DOI · Paper page
- Forte, 1986, Methods Enzymol., 128, 442, 10.1016/0076-6879(86)28086-6 · DOI
- Hobbs, 1987, N. Engl. J. Med., 317, 734, 10.1056/NEJM198709173171204 · DOI
- Goldstein, 1983, Methods Enzymol., 98, 241, 10.1016/0076-6879(83)98152-1 · DOI
- Brown, 1978, J. Biol. Chem., 253, 1121, 10.1016/S0021-9258(17)38120-6 · DOI
- Munson, 1983, Methods Enzymol., 92, 543, 10.1016/0076-6879(83)92044-X · DOI
- De Lean, 1982, Mol. Pharmacol., 21, 5, 10.1016/S0026-895X(25)14584-7 · DOI
- Milne, 1982, FEBS Lett., 146, 97, 10.1016/0014-5793(82)80712-6 · DOI
- Milne, 1983, Arteriosclerosis, 3, 23, 10.1161/01.ATV.3.1.23 · DOI
- Young, 1986, Arteriosclerosis, 6, 178, 10.1161/01.ATV.6.2.178 · DOI
- Herz, 1988, EMBO J., 7, 4119, 10.1002/j.1460-2075.1988.tb03306.x · DOI
- Kowal, 1989, Proc. Natl. Acad. Sci. U. S. A., 86, 5810, 10.1073/pnas.86.15.5810 · DOI
- Innerarity, 1990, J. Lipid Res., 31, 1337, 10.1016/S0022-2275(20)42605-7 · DOI · Paper page
- Lowe, 1988, J. Biol. Chem., 263, 15467, 10.1016/S0021-9258(19)37612-4 · DOI
- Holleman, 1975, Clin. Chem., 21, 1769, 10.1093/clinchem/21.12.1769 · DOI
- Mendel, 1985, J. Biol. Chem., 260, 3451, 10.1016/S0021-9258(19)83642-6 · DOI
- Dower, 1981, Biochemistry, 20, 6326, 10.1021/bi00525a007 · DOI
- DeLisi, 1979, Biophysics, 1, 117
- Innerarity, 1981, Proc. Natl. Acad. Sci. U. S. A., 78, 4378, 10.1073/pnas.78.7.4378 · DOI · Paper page
- Sudhof, 1985, Science, 228, 815, 10.1126/science.2988123 · DOI · Paper page
- van Driel, 1989, J. Biol. Chem., 264, 9533, 10.1016/S0021-9258(18)60564-2 · DOI
- Innerarity, 1978, Biochemistry, 17, 1440, 10.1021/bi00601a013 · DOI · Paper page
- Hill, 1975, Proc. Nat. Acad. Sci. U. S. A., 72, 4918, 10.1073/pnas.72.12.4918 · DOI
- Boeynaems, 1975, J. Cyclic Nucleotide Res., 1, 123
- Robenek, 1991, Arteriosclerosis, 11, 261, 10.1161/01.ATV.11.2.261 · DOI
- Cowan, 1988, J. Theor. Biol., 132, 319, 10.1016/S0022-5193(88)80218-2 · DOI
- Heuser, 1980, J. Cell Biol., 84, 560, 10.1083/jcb.84.3.560 · DOI
- van Driel, 1987, J. Biol. Chem., 262, 16127, 10.1016/S0021-9258(18)47706-X · DOI · Paper page
- Sniderman, 1980, Proc. Natl. Acad. Sci. U. S. A., 77, 604, 10.1073/pnas.77.1.604 · DOI
- Checovich, 1991, Arteriosclerosis, 11, 351, 10.1161/01.ATV.11.2.351 · DOI
- Vega, 1986, Arteriosclerosis, 6, 395, 10.1161/01.ATV.6.4.395 · DOI
- Chappell, 1989, Arteriosclerosis, 9, 728a
Cited by
Sorted by citations
Michaely, P., Li, W.-P., Anderson, R. G. W., Cohen, J. C., & Hobbs, H. H. (2004) · Journal of Biological Chemistry · doi:10.1074/jbc.m405242200 · Cited by 66
Feussner, G., Scharnagl, H., Scherbaum, C., Acar, J., Dobmeyer, J., Lohrmann, J., Wieland, H., & März, W. (1996) · Journal of Lipid Research · doi:10.1016/s0022-2275(20)39106-9 · Cited by 21
Metadata
- Authors
- Chappell, D. A., Fry, G. L., Waknitz, M. A., & Berns, J. J.
- Venue
- Journal of Biological Chemistry
- Publisher
- Elsevier BV
- Published
- 1991-10
- Volume
- 266
- Issue
- 29
- Pages
- 19296-19302
- ISSN
- 0021-9258
- Cited by
- 47
- References
- 0
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review