| Field | Specification |
|---|---|
| Mfr No | |
| Alternative Names | Lipopolysaccharide-binding protein;LBP;Lbp; |
| Assay Time | |
| Assay Type | |
| Detection Range | |
| Expression System | |
| Gene ID | |
| Immunogen | Expression system for standard: NS0; Immunogen sequence: G25-V481 |
| Product Type | |
| Reactivity | |
| Sample Type(s) | cell culture supernatants, cell lysates, serum and plasma (heparin, EDTA). |
| Sensitivity | |
| Storage | |
| Target | |
| UniProt # |
Background
Also known as: Lipopolysaccharide-binding protein, LBP.
Mouse LBP (LBP) is an established target in many assay panels, supporting hypothesis testing across diverse biological systems. This target is frequently investigated in Molecular & Cellular Biology research contexts. As with many protein targets, abundance can be influenced by transcriptional regulation, secretion or shedding, proteolytic processing, and clearance. Quantitative measurement is often used to connect molecular changes with phenotypes such as stress responses, immune activation, differentiation, or tissue remodeling.
Biological context and interpretation
Protein-level readouts complement nucleic-acid measurements by reflecting post-transcriptional control and protein stability. Depending on the model system, changes may be transient or sustained, and may represent direct pathway engagement or secondary effects. When interpreting results, consider sample matrix effects, timing relative to stimulation or treatment, and whether complexes or modified forms of the analyte may be present.
Why it matters in research
- Comparative quantification: Supports analysis across experimental groups, time points, or dose ranges.
- Pathway context: Useful as part of a broader marker panel to triangulate biological mechanisms.
- Model characterization: Helps profile baseline vs perturbed states in cells, tissues, or biofluids.
Related pathways and interacting partners
For many targets, interpretability improves when measured alongside biologically connected markers (e.g., upstream regulators, downstream effectors, and cell-type indicators). Designing panels around a pathway hypothesis can help distinguish primary pathway activation from general stress or inflammation.
Sample data
| Concentration (ng/ml) | 0 | 1.56 | 3.12 | 6.25 | 12.5 | 25 | 50 | 100 |
| O.D. | 0.01 | 0.073 | 0.138 | 0.243 | 0.484 | 0.907 | 1.475 | 2.004 |
Intra/inter assay consistency
| Intra-Assay Precision | Inter-Assay Precision | |||||
|---|---|---|---|---|---|---|
| Sample | 1 | 2 | 3 | 1 | 2 | 3 |
| n | 16 | 16 | 16 | 24 | 24 | 24 |
| Mean (pg/ml) | 3313 | 12997 | 39089 | 3385 | 14212 | 39495 |
| Standard deviation | 237.12 | 831.8 | 2110.8 | 243.72 | 1151.17 | 2804.14 |
| CV (%) | 7.1% | 6.4% | 5.4% | 7.2% | 8.1% | 7.1% |
Kit components
Description|Quantity Pre-coated 96-well strip microplate|1 Standard|2 vials Biotinylated antibody (100x)|100ul Avidin-Biotin-Peroxidase Complex (100x)|100ul Sample Diluent|30ml Antibody Diluent|12ml Avidin-Biotin-Peroxidase Diluent|12ml Color Developing Reagent (TMB)|10ml Stop Solution|10ml Wash Buffer (25x)|20ml Adhesive plate sealers|4Materials required but not provided
- Microplate Reader capable of reading absorbance at 450nm.
- Incubator.
- Automated plate washer (optional).
- Pipettes and pipette tips capable of precisely dispensing 0.5 µl through 1 ml volumes of aqueous solutions.
- Multichannel pipettes are recommended for large amount of samples.
- Deionized or distilled water.
- 500ml graduated cylinders.
- Test tubes for dilution.
►How many samples can I run per plate?
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►How do I analyze my ELISA results?
►How should I store samples before running the assay?
►What positive and negative controls should I include?
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