The LDLR antibody specifically targets the Low Density Lipoprotein Receptor (LDLR), a type I transmembrane glycoprotein encoded by the LDLR gene (HGNC ID: 3949). Its primary function is to mediate receptor-mediated endocytosis of LDL cholesterol, thereby regulating plasma cholesterol levels . The antibody is produced through immunization with recombinant LDLR fragments (e.g., AA 22–150) and purified using affinity chromatography .
Molecular Weight: 95.4 kDa (unprocessed) to 100–160 kDa (glycosylated) .
Gene Pathways: Lipid Metabolism, Hepatitis C, and PCSK9 regulation .
| Host | Reactivity | Applications |
|---|---|---|
| Mouse | Human (e.g., clone 1B10H10) . | ELISA, FACS, IHC. |
| Rabbit | Human, Mouse, Rat . | WB, ELISA, FACS. |
| Goat | Human . | Western Blot, ICC. |
LDLR has been identified as a critical host factor for flavivirus entry into neurons (e.g., Zika, dengue) . Knockdown of LDLR reduces viral replication .
LDLR interacts with Proprotein Convertase Subtilisin/Kexin Type 9 (PCSK9), a regulator of LDLR degradation. Antibody-based studies reveal that PCSK9-mediated degradation of LDLR is dose-dependent .
Mutations in the LDLR gene cause Familial Hypercholesterolemia (FH), characterized by elevated LDL cholesterol levels . Antibodies have been used to validate LDLR knockdown models in FH research .
LDLR antibodies are used to diagnose FH and monitor cholesterol-lowering therapies (e.g., statins) .
LDLR is a candidate for gene therapy in FH. Antibody-based assays are employed to assess therapeutic efficacy .
LDLR antibodies come in several formats with distinct characteristics:
Polyclonal antibodies: Recognize multiple epitopes on LDLR, providing high sensitivity but potential cross-reactivity. Examples include rabbit polyclonal antibodies like ab30532 that target various regions of LDLR .
Monoclonal antibodies: Target specific epitopes with high specificity. The monoclonal antibody panel described by Tveten et al. recognizes distinct epitopes in ligand binding repeats 1, 2, 3, 5, and 7 of LDLR .
Recombinant antibodies: Engineered for consistent reproducibility, like the rabbit recombinant EP1553Y antibody (ab52818) with defined epitope recognition .
Selection should be based on specific application requirements, target species, and epitope accessibility in your experimental conditions.
Selection should be methodology-driven based on validated applications:
Always conduct titration experiments to determine optimal concentration for your specific samples. Antigen retrieval methods differ by application - TE buffer pH 9.0 is often recommended for IHC applications with LDLR antibodies, though citrate buffer pH 6.0 can serve as an alternative .
A robust validation strategy requires multiple controls:
Positive controls: Use known LDLR-expressing cell lines like HepG2, HeLa, or Huh7 cells .
Negative controls: Implement LDLR knockout/knockdown cells. Several studies utilized CRISPR/Cas9-mediated LDLR knockout in HEK293T cells or siRNA-mediated LDLR knockdown in HepG2 cells .
Blocking peptide controls: Pre-incubate antibody with immunizing peptide to demonstrate specificity.
Species cross-reactivity assessment: Validate across different species if working with non-human models.
Secondary antibody-only controls: Rule out non-specific binding.
Several publications demonstrate robust validation through knockdown approaches. For instance, Liu et al. used LDLR siRNA-treated HepG2 cells to verify antibody specificity through Western blot analysis and co-immunoprecipitation experiments .
Methodological approaches include:
Surface biotinylation assays: These quantify cell surface LDLR levels before and after stimuli. As demonstrated in EMBO Reports, amino acid starvation (AAS) significantly increased LDLR surface expression, measurable via biotinylation and pull-down approaches .
Pulse-chase experiments: These involve pulse-labeling surface LDLR with unconjugated antibody at 4°C (which arrests endocytosis), followed by warming to 37°C to resume trafficking:
Flow cytometry: Distinguishing between surface and internalized LDLR:
Confocal microscopy: Co-localize LDLR with endocytic markers (e.g., using cholera toxin as a lipid raft marker) .
Liu et al. demonstrated that in NIH-3T3 cells, amino acid starvation increased surface LDLR by ~2-fold as measured by flow cytometry, without affecting total LDLR levels .
LDLR variants require functional characterization to determine pathogenicity. Methodological approaches include:
Expression systems: Create LDLR-deficient cell models (e.g., HEK293T with CRISPR/Cas9-mediated LDLR knockout) and transfect with vectors encoding LDLR variants .
Functional assessment:
Determine LDLR expression by Western blot (precursor 130kDa vs. mature 160kDa forms)
Assess cell surface localization by flow cytometry/IF
Measure LDL binding and uptake using fluorescently-labeled LDL
Variant classification:
Class 1: No detectable protein (null allele)
Class 2: Transport-defective (ER retention)
Class 3: Binding-defective
Class 4: Internalization-defective
Class 5: Recycling-defective
For example, Soutar's group developed a comprehensive method using FITC-labeled LDL and flow cytometry to characterize LDLR variants, demonstrating that this approach provides comparable results to traditional 125I-labeled LDL methods while being safer and more accessible .
Functional blocking assays require:
Epitope mapping: Tveten et al. developed a panel of 12 monoclonal antibodies recognizing specific epitopes in different LDLR ligand binding repeats. Antibodies targeting repeats 3, 5, and 7 completely blocked LDL binding, while those targeting repeats 1 and 2 only partially blocked binding .
Quantitative LDL uptake assays:
Correlating epitope location with blocking efficacy: Antibodies recognizing epitopes in ligand binding repeats 3, 5, and 7 demonstrated complete blocking of LDL binding to LDLR on cultured human fibroblasts, while those targeting repeats 1 and 2 showed only partial blocking activity .
This methodological approach helps identify functionally critical epitopes in LDLR and can be valuable for designing therapeutic antibodies targeting LDLR function.
PCSK9 (Proprotein convertase subtilisin/kexin type 9) regulates LDLR degradation. Methodological approaches include:
Co-immunoprecipitation (co-IP): Anti-LDLR antibodies can precipitate LDLR and associated proteins like PCSK9:
Proximity ligation assays: Detect in situ interactions between LDLR and PCSK9.
Knockdown validation: Confirms specificity of observed interactions:
R&D Systems demonstrated these approaches with their AF2148 antibody, showing LDLR-PCSK9 interactions in HepG2 cells and how these interactions were affected by specific antibody treatments .
LDLR undergoes pH-dependent conformational changes during recycling. Methods to study conformational states include:
pH-dependent binding assays: Test antibody binding at different pH (pH 7.4 vs. pH 5.5).
Disulfide bond reduction sensitivity: Tveten et al. identified a subset of anti-LDLR MAbs that failed to recognize LDLR when disulfide bonds were reduced, indicating conformation-dependent epitopes .
Differential affinity analysis: One MAb from Tveten's panel recognized two conformational forms of LDLR with different affinities, demonstrating epitope sensitivity to LDLR conformation .
Competitive binding assays: Determine if antibodies compete with known conformation-sensitive ligands.
These approaches help develop antibodies as conformational probes to study LDLR structural dynamics during endocytosis and recycling.
LDLR exhibits variable observed molecular weights due to processing and modification:
Inconsistent molecular weights may result from:
Glycosylation differences: LDLR is heavily glycosylated, and glycosylation patterns vary across cell types and species.
Proteolytic processing: Partial degradation during sample preparation can generate fragments.
Alternative splicing: Different isoforms may be expressed in different tissues.
Species differences: Human LDLR may migrate differently than mouse LDLR.
Appropriate controls include:
Positive control lysates from well-characterized cells (HepG2, HeLa)
LDLR knockout/knockdown samples
Treatment with glycosidases to identify glycosylation contributions
When facing contradictory results, implement these systematic approaches:
Epitope mapping verification: Different antibodies recognize distinct epitopes that may be differentially accessible:
Multi-method validation: Apply orthogonal techniques:
Sample preparation optimization: Test multiple fixation/permeabilization methods for immunostaining or lysis conditions for Western blot.
Quantitative assessment: Use multiple antibodies and average results, reporting variability as standard error of the mean (SEM) .
LDLR serves as a receptor for several viruses. Methodological approaches include:
Infection inhibition assays:
Pretreatment of cells with LDLR-blocking antibodies
Quantification of viral entry inhibition
Dose-dependent antibody blocking studies
LDLR knockdown/knockout validation:
Domain mapping: Using antibodies targeting specific LDLR domains to determine viral interaction regions:
Search results indicate LDLR functions as a receptor for multiple viruses including Hepatitis C virus, Vesicular stomatitis virus, HIV-1 Tat protein, Crimean-Congo hemorrhagic fever virus, and several Alphaviruses .
Tissue-specific LDLR studies require specialized approaches:
Multi-tissue expression profiling:
IHC in tissue microarrays
Western blot panel across tissue types
Flow cytometry of isolated primary cells
Cell-type specific analysis in complex tissues:
Specialized techniques for unique tissues:
Liu et al. demonstrated LDLR expression in human lymphatic endothelial cells (LECs) using multiple approaches: Western blot, ELISA of culture supernatants, flow cytometry, and immunofluorescence with colocalization analysis .