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L4524

Sigma-Aldrich

Lipopolysaccharides from Escherichia coli O55:B5

purified by ion-exchange chromatography, TLR ligand tested

Synonym(s):

LPS

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About This Item

EC Number:
MDL number:
UNSPSC Code:
12352201
NACRES:
NA.25

biological source

Escherichia coli (O55:B5)

Quality Level

form

lyophilized powder

purified by

ion-exchange chromatography

impurities

<1% Protein
<1% RNA

color

white to yellow cast

solubility

water: soluble

shipped in

ambient

storage temp.

2-8°C

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General description

This product is extracted from E. coli serotype O55:B5 and purified by ion exchange. The source strain is CDC 1644-70. The LPS O55:B5 has been used to stimulate human peritoneal macrophages at 1 ng/mL and to stimulate equine peritoneal macrophages at 1-100 ng/mL.

Application

Lipopolysaccharides (LPSs) are characteristic components of the cell wall of Gram-negative bacteria. LPS and its lipid A moiety stimulate cells of the innate immune system by the Toll-like receptor 4 (TLR4), a member of the Toll-like receptor protein family, which recognizes common pathogen-associated molecular-patterns (PAMPs).

Biochem/physiol Actions

Lipopolysaccharides (LPS) are localized in the outer layer of the membrane and are, in noncapsulated strains, exposed on the cell surface. They contribute to the integrity of the outer membrane, and protect the cell against the action of bile salts and lipophilic antibiotics.

Preparation Note

The product is soluble in water (5 mg/ml) or cell culture medium (1 mg/ml) yielding a hazy, faint yellow solution. A more concentrated, though still hazy, solution (20 mg/ml) has been achieved in aqueous saline after vortexing and warming to 70-80 oC. Lipopolysaccharides are molecules that form micelles in every solvent. Hazy solutions are observed in water and phosphate buffered saline. Organic solvents do not give clearer solutions. Methanol yields a turbid suspension with floaters, while water yields a homogeneously hazy solution.

Other Notes

To gain a comprehensive understanding of our extensive range of Lipopolysaccharides for your research, we encourage you to visit our Carbohydrates Category page.

Pictograms

Skull and crossbones

Signal Word

Danger

Hazard Statements

Hazard Classifications

Acute Tox. 2 Oral

Storage Class Code

6.1A - Combustible acute toxic Cat. 1 and 2 / very toxic hazardous materials

WGK

WGK 3

Flash Point(F)

Not applicable

Flash Point(C)

Not applicable


Certificates of Analysis (COA)

Search for Certificates of Analysis (COA) by entering the products Lot/Batch Number. Lot and Batch Numbers can be found on a product’s label following the words ‘Lot’ or ‘Batch’.

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Arij Faksh et al.
Pediatric research, 79(3), 391-400 (2015-11-06)
Antenatal inflammation and preterm birth are associated with the development of airway diseases such as wheezing and asthma. Utilizing a newborn mouse model, we assessed the effects of maternal inflammation and postnatal hyperoxia on the neonatal airway. Pregnant C57/Bl6 dams
Laura B Fanning et al.
PloS one, 8(2), e57007-e57007 (2013-02-23)
Leukocyte Immunoglobulin-like Receptor B4 (LILRB4) null mice have an exacerbated T helper cell type 2 (Th2) immune response and pulmonary inflammation compared with Lilrb4(+/+) animals when sensitized intranasally with ovalbumin (OVA) and low-dose lipopolysaccharide (LPS) followed by challenge with OVA.
Ryoichi Ishibashi et al.
Scientific reports, 6, 25955-25955 (2016-05-18)
Kidney diseases including diabetic nephropathy have become huge medical problems, although its precise mechanisms are still far from understood. In order to increase our knowledge about the patho-physiology of kidney, we have previously identified >300 kidney glomerulus-enriched transcripts through large-scale
Kuppusamy Balamurugan et al.
Nature communications, 4, 1662-1662 (2013-04-12)
Toll-like receptor 4 (Tlr4) has a pivotal role in innate immune responses, and the transcription factor CCAAT/enhancer binding protein delta (C/EBPδ, Cebpd) is a Tlr4-induced gene. Here we identify a positive feedback loop in which C/EBPδ activates Tlr4 gene expression
Michael Junkin et al.
Cell reports, 15(2), 411-422 (2016-04-07)
Cells receive time-varying signals from the environment and generate functional responses by secreting their own signaling molecules. Characterizing dynamic input-output relationships in single cells is crucial for understanding and modeling cellular systems. We developed an automated microfluidic system that delivers

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